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    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">JMIR</journal-id>
            <journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id>
            <journal-title>Journal of Medical Internet Research</journal-title>
            <issn pub-type="epub">1438-8871</issn>
            <publisher>
                <publisher-name>Gunther Eysenbach</publisher-name>
                <publisher-loc>JMIR Publications Inc., Toronto, Canada</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="publisher-id">v13i3e68</article-id>
            <article-id pub-id-type="pmid">21946048</article-id>
            <article-id pub-id-type="doi">10.2196/jmir.1241</article-id>
            <article-categories>
                <subj-group subj-group-type="article-type">
                    <subject>Original Paper</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>A Comparison of a Postal Survey and Mixed-Mode Survey Using a Questionnaire on Patients&#8217; Experiences With Breast Care</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="editor">
                    <name>
                        <surname>Eysenbach</surname>
                        <given-names>Gunther</given-names>
                    </name>
                </contrib>
            </contrib-group>
            <contrib-group>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Hjollund</surname>
                        <given-names>Niels Henrik</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Hoonakker</surname>
                        <given-names>Peter</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Dillman</surname>
                        <given-names>Donald</given-names>
                    </name>
                </contrib>
            </contrib-group>
            <contrib-group>
                <contrib contrib-type="author" id="contrib1" corresp="yes">
                    <name name-style="western">
                        <surname>Zuidgeest</surname>
                        <given-names>Marloes</given-names>
                    </name>
                    <degrees>MSc</degrees>
                    <xref ref-type="aff" rid="aff1">1</xref>
                    <address>
                        <institution>Tranzo, Academic Research Centre for Health and Social Care</institution>
                        <institution>Tilburg University</institution>
                        <addr-line>PO Box 90153</addr-line>
                        <addr-line>Tilburg, 5000 LE</addr-line>
                        <country>Netherlands</country>
                        <phone>31 134663627</phone>
                        <fax>31 134663637</fax>
                        <email>m.zuidgeest@uvt.nl</email>
                    </address>
                    <xref ref-type="aff" rid="aff2">2</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib2">
                    <name name-style="western">
                        <surname>Hendriks</surname>
                        <given-names>Michelle</given-names>
                    </name>
                    <degrees>PhD</degrees>
                    <xref ref-type="aff" rid="aff2">2</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib3">
                    <name name-style="western">
                        <surname>Koopman</surname>
                        <given-names>Laura</given-names>
                    </name>
                    <degrees>PhD</degrees>
                    <xref ref-type="aff" rid="aff2">2</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib4">
                    <name name-style="western">
                        <surname>Spreeuwenberg</surname>
                        <given-names>Peter</given-names>
                    </name>
                    <degrees>MA</degrees>
                    <xref ref-type="aff" rid="aff2">2</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib5">
                    <name name-style="western">
                        <surname>Rademakers</surname>
                        <given-names>Jany</given-names>
                    </name>
                    <degrees>PhD</degrees>
                    <xref ref-type="aff" rid="aff2">2</xref>
                </contrib>
            </contrib-group>
            <aff id="aff1" rid="aff1">
                <sup>1</sup>
                <institution>Tranzo, Academic Research Centre for Health and Social Care</institution>
                <institution>Tilburg University</institution>
                <addr-line>Tilburg</addr-line>
                <country>Netherlands</country>
            </aff>
            <aff id="aff2" rid="aff2">
                <sup>2</sup>
                <institution>Netherlands Institute for Health Services Research (NIVEL)</institution>
                <addr-line>Utrecht</addr-line>
                <country>Netherlands</country>
            </aff>
            <pub-date pub-type="collection">
                <season>Jul-Sep</season>
                <year>2011</year>
            </pub-date>
            <pub-date pub-type="epub">
                <day>27</day>
                <month>09</month>
                <year>2011</year>
            </pub-date>
            <volume>13</volume>
            <issue>3</issue>
            <elocation-id>e68</elocation-id>
            <!--history from ojs - api-xml-->
            <history>
                <date date-type="received">
                    <day>24</day>
                    <month>03</month>
                    <year>2009</year>
                </date>
                <date date-type="rev-request">
                    <day>28</day>
                    <month>04</month>
                    <year>2009</year>
                </date>
                <date date-type="rev-recd">
                    <day>20</day>
                    <month>04</month>
                    <year>2010</year>
                </date>
                <date date-type="accepted">
                    <day>20</day>
                    <month>08</month>
                    <year>2010</year>
                </date>
            </history>
            <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
            <copyright-statement>&#169;Marloes Zuidgeest, Michelle Hendriks, Laura Koopman, Peter Spreeuwenberg, Jany Rademakers. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.09.2011. </copyright-statement>
            <copyright-year>2011</copyright-year>
            <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
                <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.</p>
            </license>
            <self-uri xlink:href="http://www.jmir.org/2011/3/e68/" xlink:type="simple" />
            <abstract>
                <sec sec-type="background">
                    <title>Background</title>
                    <p>The Internet is increasingly considered to be an efficient medium for assessing the quality of health care seen from the patients&#8217; perspective. Potential benefits of Internet surveys such as time efficiency, reduced effort, and lower costs should be balanced against potential weaknesses such as low response rates and accessibility for only a subset of potential participants. Combining an Internet questionnaire with a traditional paper follow-up questionnaire (mixed-mode survey) can possibly compensate for these weaknesses and provide an alternative to a postal survey.</p>
                </sec>
                <sec sec-type="objective">
                    <title>Objective</title>
                    <p>To examine whether there are differences between a mixed-mode survey and a postal survey in terms of respondent characteristics, response rate and time, quality of data, costs, and global ratings of health care or health care providers (general practitioner, hospital care in the diagnostic phase, surgeon, nurses, radiotherapy, chemotherapy, and hospital care in general).</p>
                </sec>
                <sec sec-type="methods">
                    <title>Methods</title>
                    <p>Differences between the two surveys were examined in a sample of breast care patients using the Consumer Quality Index Breast Care questionnaire. We selected 800 breast care patients from the reimbursement files of Dutch health insurance companies. We asked 400 patients to fill out the questionnaire online followed by a paper reminder (mixed-mode survey) and 400 patients, matched by age and gender, received the questionnaire by mail only (postal survey). Both groups received three reminders.</p>
                </sec>
                <sec sec-type="results">
                    <title>Results</title>
                    <p>The respondents to the two surveys did not differ in age, gender, level of education, or self-reported physical and psychological health (all <italic>Ps</italic> &#62; .05). In the postal survey, the questionnaires were returned 20 days earlier than in the mixed-mode survey (median 12 and 32 days, respectively; <italic>P</italic> &#60; .001), whereas the response rate did not differ significantly (256/400, 64.0% versus 242/400, 60.5%, respectively; <italic>P</italic> = .30). The costs were lower for the mixed-mode survey (&#8364;2 per questionnaire). Moreover, there were fewer missing items (3.4% versus 4.4%, <italic>P</italic> = .002) and fewer invalid answers (3.2% versus 6.2%, <italic>P</italic> &#60; .001) in the mixed-mode survey than in the postal survey. The answers of the two respondent groups on the global ratings did not differ. Within the mixed-mode survey, 52.9% (128/242) of the respondents filled out the questionnaire online. Respondents who filled out the questionnaire online were significantly younger (<italic>P</italic> &#60; .001), were more often highly educated (<italic>P</italic> = .002), and reported better psychological health (<italic>P</italic> = .02) than respondents who filled out the paper questionnaire. Respondents to the paper questionnaire rated the nurses significantly more positively than respondents to the online questionnaire (score 9.2 versus 8.4, respectively; &#967;<sup>2</sup>
                        <sub>1</sub> = 5.6).</p>
                </sec>
                <sec sec-type="conclusions">
                    <title>Conclusions</title>
                    <p>Mixed-mode surveys are an alternative method to postal surveys that yield comparable response rates and groups of respondents, at lower costs. Moreover, quality of health care was not rated differently by respondents to the mixed-mode or postal survey. Researchers should consider using mixed-mode surveys instead of postal surveys, especially when investigating younger or more highly educated populations.</p>
                </sec>
            </abstract>
            <kwd-group>
                <kwd>Data collection</kwd>
                <kwd>health care quality</kwd>
                <kwd>consumer satisfaction</kwd>
                <kwd>breast cancer</kwd>
                <kwd>patient preferences</kwd>
                <kwd>health care quality indicator</kwd>
            </kwd-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="introduction">
            <title>Introduction</title>
            <p>In the Netherlands, health care policy stresses regulated competition between health care providers [<xref ref-type="bibr" rid="ref1">1</xref>]. Efforts are made to enhance the transparency of health care quality, to stimulate informed decision making among consumers, and to improve the performance of health care providers. Comparative information about the performance of health care providers is needed for consumers to make informed decisions. This comparative information can be gathered in different ways. One possibility is to ask a sample of patients about their actual experiences concerning quality of care provided by health care providers.</p>
            <p>Measuring the quality of care from the patients&#8217; perspective has been standardized in the Netherlands since 2006, using a new instrument called the Consumer Quality Index (CQ-index or CQI) [<xref ref-type="bibr" rid="ref2">2</xref>]. CQI questionnaires are usually self-administered paper questionnaires (eg, CQI Rheumatoid Arthritis [<xref ref-type="bibr" rid="ref3">3</xref>], CQI Breast Care [<xref ref-type="bibr" rid="ref4">4</xref>]). Individual structured interviews are conducted in cases where a self-administered paper questionnaire is not feasible because of respondents&#8217; visual, physical, or cognitive limitations (CQI Care for the Disabled [<xref ref-type="bibr" rid="ref5">5</xref>], CQI Long-Term Care [<xref ref-type="bibr" rid="ref6">6</xref>]). Postal surveys (with multiple reminders) and interviews are relatively expensive and time consuming. It would therefore be interesting to know whether other data collection methods can be applied in this field.</p>
            <p>The Internet is increasingly considered to be an efficient medium for assessing quality of care from a patient&#8217;s perspective. In populations that already use the Internet, Internet surveys have been found to be a useful means of conducting research [<xref ref-type="bibr" rid="ref7">7</xref>-<xref ref-type="bibr" rid="ref9">9</xref>]. Efficiency gains are found in shorter response times and field costs reductions (50%&#8211;80%) [<xref ref-type="bibr" rid="ref10">10</xref>-<xref ref-type="bibr" rid="ref12">12</xref>]. In contrast to paper questionnaires, Internet questionnaires can contain various interactive features that allow complex skip patterns that are invisible to respondents, and the Internet allows validation of responses by using an instant feedback function while respondents are still online [<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref>]. Consequently, the quality of data collected with an Internet survey is higher. Some Internet surveys have shown promising response rates (up to 94% in Web forums) [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref14">14</xref>]. The extreme response in Web forums can be explained by a probable selection bias in these studies. Those who participate in Web forums are most likely people who are familiar with the Internet and frequently use the Internet, leading to a higher response rate to Internet questionnaires. This high response rate has not been realized in other studies; response rates ranged from 17% to 70% [<xref ref-type="bibr" rid="ref15">15</xref>]. In CQI research, the response rate to paper questionnaires varied from 20% to 79% with an average response rate of 55% [<xref ref-type="bibr" rid="ref16">16</xref>]. One CQI study compared an Internet questionnaire with a paper questionnaire. The response rate to the Internet questionnaire (8%) was considerably lower than to the paper questionnaire (35%) [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>]. To increase the response rate one can send a prenotification or reminders, give an incentive, or use short questionnaires. A salient subject of a questionnaire also increases the response rate [<xref ref-type="bibr" rid="ref19">19</xref>].</p>
            <p>The potential of Internet surveys should, however, be balanced against an equally large weakness. The Netherlands has the largest percentage of households with Internet access in the European Union, but there are still 1.2 million Dutch people (7.3% of the population) with no Internet access at home and 0.5 million Dutch people (3.1% of the population) who do not use the Internet [<xref ref-type="bibr" rid="ref20">20</xref>]. People who use the Internet are more affluent, better educated, more often male, and younger than people who do not use Internet. Only a part of the population can thus be reached through the Internet [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref21">21</xref>]. To compensate for the selection of people in an Internet survey, a combination of data collection methods can be used such as combining an Internet questionnaire with a more traditional postal follow-up [<xref ref-type="bibr" rid="ref19">19</xref>].</p>
            <p>It is known that the way questionnaire are administered has an effect on answers of respondents (so-called mode effects). For example, telephone respondents were found to be more likely to rate health care positively and their own health status negatively than postal respondents [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref23">23</xref>]. This finding is similar to a study where telephone respondents provide more positive ratings than Web respondents [<xref ref-type="bibr" rid="ref24">24</xref>]. Another example is that students who completed a Web-based questionnaire responded more favorably on different scales (such as college challenge and learning, education, and personal and social gains) than students who filled out a paper questionnaire [<xref ref-type="bibr" rid="ref25">25</xref>]. It is suggested that computer anxiety affects participants&#8217; responses. Moreover, biases could occur in the way people perceive and process questions presented on screen versus on paper. A study that tested the difference in test&#8211;retest reliability and internal consistency between Internet and paper versions of the SF-36, however, found little or no evidence for mode effects [<xref ref-type="bibr" rid="ref26">26</xref>]. Knowing that these mode effects exist, it is important to investigate whether the answers of respondents in a postal and mixed-mode survey differ.</p>
            <p>To examine whether a mixed-mode survey can be an alternative to postal survey, our research question is &#8220;What are the differences between a mixed-mode survey (Internet with paper follow-up) and a more traditional postal survey in terms of respondent characteristics, response rates and time, quality of data, costs, and mode effects?&#8221; The differences were examined within a sample of breast care patients who reported their experiences with health care using the CQI Breast Care questionnaire.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Sample</title>
                <p>Data were collected within a larger study assessing the usability of CQI Breast Care [<xref ref-type="bibr" rid="ref27">27</xref>]. For the mixed-mode survey, 200 patients with a benign abnormality and 200 patients with breast cancer were selected from the reimbursement files of seven Dutch health insurance companies. Inclusion criteria were (1) being older than 18 years and (2) having received breast care in the last 24 months. We used the same procedure to select 3955 patients who received the questionnaire by mail only as part of another study. Of these 3955 patients, we selected 400 patients (200 with breast cancer and 200 with benign abnormalities) for the comparison of the two surveys. These 400 patients were not randomly selected, but were matched by age and gender to the respondents in the mixed-mode survey.</p>
            </sec>
            <sec>
                <title>Data Collection</title>
                <p>Patients received a letter from their health insurance company with the request to fill out a paper questionnaire (postal survey) or an Internet questionnaire with unique username and password (mixed-mode survey). A total of three reminders were sent and in both surveys nonrespondents received a paper version of the questionnaire in the third mail-shot. This data protocol was based on Dillman et al [<xref ref-type="bibr" rid="ref28">28</xref>]. (See <xref ref-type="fig" rid="figure1">Figure 1</xref> for detailed information on the mail-shots.) The data were collected in the Netherlands in the spring of 2008.</p>
                <fig id="figure1" position="float">
                    <label>Figure 1</label>
                    <caption>
                        <p>Mail-shots sent to the patients.</p>
                    </caption>
                    <graphic xlink:href="jmir_v13i3e68_fig1.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
            </sec>
            <sec>
                <title>Questionnaire</title>
                <p>The CQI Breast Care contains items measuring the actual experiences of patients with breast examinations, surgery for breast cancer, other treatment, subsequent treatment, cooperation between health care providers, continuity of care, accessibility of care, and expertise of health care providers [<xref ref-type="bibr" rid="ref4">4</xref>]. There are two versions of the CQ-index: one for patients with breast cancer (151 items) and one for patients with a benign abnormality (60 items). The questionnaire for patients with a benign abnormality is the same as the questionnaire for breast cancer, except that it does not contain questions about surgery and treatments. Both questionnaires have three scales in common, and the questionnaire for patients with breast cancer consists of 11 extra scales. Cronbach alpha for these scales varied between 0.74 and 0.93. Example items are presented in <xref ref-type="table" rid="table1">Table 1</xref>. The questionnaires additionally contain items on respondents characteristics (eg, age, education, ethnicity, and patient&#8217;s self-assessed physical and psychological health) and global ratings of health care providers general practitioner, hospital care in the diagnostic phase, surgeon, nurses, radiotherapy, chemotherapy, and hospital care in general). In the present study, we focused on the global ratings of the health care providers. These ratings ranged from 0 to 10, with a score of 0 indicating the worst possible health care or provider and a score of 10 indicating the best possible health care or provider. The respondents were asked to report their experiences in the last 24 months.</p>
                <table-wrap id="table1" position="float">
                    <label>Table 1</label>
                    <caption>
                        <p>Scales in the Consumer Quality Index Breast Care, their reliability (Cronbach alpha for internal consistency), and example items</p>
                    </caption>
                    <table cellpadding="8" cellspacing="0" border="1" rules="groups" frame="hsides" width="1000">
                        <col width="30" />
                        <col width="270" />
                        <col width="100" />
                        <col width="100" />
                        <col width="100" />
                        <col width="100" />
                        <col width="200" />
                        <thead>
                            <tr valign="bottom">
                                <td colspan="2">Scale</td>
                                <td>Number of items</td>
                                <td>Alpha<sub>1</sub>
                                    <sup>a</sup>
                                </td>
                                <td>Alpha<sub>2</sub>
                                    <sup>b</sup>
                                </td>
                                <td>Total</td>
                                <td>Example of item</td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td>1</td>
                                <td>Conduct of professionals during breast examination</td>
                                <td>7</td>
                                <td>.90</td>
                                <td>.91</td>
                                <td>.90</td>
                                <td>How often did caregivers listen to you carefully?</td>
                            </tr>
                            <tr valign="top">
                                <td>2</td>
                                <td>Conduct of general practitioner</td>
                                <td>4</td>
                                <td>.91</td>
                                <td>.88</td>
                                <td>.90</td>
                                <td>How often did your general practitioner take you seriously?</td>
                            </tr>
                            <tr valign="top">
                                <td>3</td>
                                <td>Conduct of nurses</td>
                                <td>5</td>
                                <td>&#8211;</td>
                                <td>.87</td>
                                <td>.87</td>
                                <td>How often did nurses pay personal attention to you?</td>
                            </tr>
                            <tr valign="top">
                                <td>4</td>
                                <td>Conduct of surgeon</td>
                                <td>4</td>
                                <td>&#8211;</td>
                                <td>.89</td>
                                <td>.89</td>
                                <td>How often did the surgeon spend enough time with you?</td>
                            </tr>
                            <tr valign="top">
                                <td>5</td>
                                <td>Autonomy regarding treatment</td>
                                <td>4</td>
                                <td>&#8211;</td>
                                <td>.82</td>
                                <td>.82</td>
                                <td>How often did you get the chance to decide about your treatment?</td>
                            </tr>
                            <tr valign="top">
                                <td>6</td>
                                <td>Autonomy regarding follow-up treatment</td>
                                <td>2</td>
                                <td>&#8211;</td>
                                <td>.93</td>
                                <td>.93</td>
                                <td>How often were your specific wishes about follow-up treatment taken into account?</td>
                            </tr>
                            <tr valign="top">
                                <td>7</td>
                                <td>Conduct of professionals during radiotherapy</td>
                                <td>5</td>
                                <td>&#8211;</td>
                                <td>.88</td>
                                <td>.88</td>
                                <td>How often did you get the opportunity to ask questions about radiotherapy?</td>
                            </tr>
                            <tr valign="top">
                                <td>8</td>
                                <td>Information about radiotherapy</td>
                                <td>2</td>
                                <td>&#8211;</td>
                                <td>.78</td>
                                <td>.78</td>
                                <td>How often did you get enough information about radiotherapy?</td>
                            </tr>
                            <tr valign="top">
                                <td>9</td>
                                <td>Conduct of professionals during chemotherapy</td>
                                <td>4</td>
                                <td>&#8211;</td>
                                <td>.92</td>
                                <td>.92</td>
                                <td>How often did caregivers listen carefully to you?</td>
                            </tr>
                            <tr valign="top">
                                <td>10</td>
                                <td>Information about chemotherapy</td>
                                <td>4</td>
                                <td>&#8211;</td>
                                <td>.80</td>
                                <td>.80</td>
                                <td>How often did caregivers explain aspects of chemotherapy in a way that was easy to understand?</td>
                            </tr>
                            <tr valign="top">
                                <td>11</td>
                                <td>Cooperation</td>
                                <td>5</td>
                                <td>.91</td>
                                <td>.87</td>
                                <td>.89</td>
                                <td>How often did caregivers make good arrangements with each other?</td>
                            </tr>
                            <tr valign="top">
                                <td>12</td>
                                <td>Continuity of psychosocial care</td>
                                <td>3</td>
                                <td>&#8211;</td>
                                <td>.84</td>
                                <td>.84</td>
                                <td>Were you informed about the options for psychosocial care?</td>
                            </tr>
                            <tr valign="top">
                                <td>13</td>
                                <td>Continuity of physiotherapy</td>
                                <td>3</td>
                                <td>&#8211;</td>
                                <td>.74</td>
                                <td>.74</td>
                                <td>Were you assisted with a referral to physiotherapy?</td>
                            </tr>
                            <tr valign="top">
                                <td>14</td>
                                <td>Continuity of rehabilitation</td>
                                <td>3</td>
                                <td>&#8211;</td>
                                <td>.80</td>
                                <td>.80</td>
                                <td>Did you have as rapid access to a rehabilitation program as you wanted?</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn id="table1fn1">
                            <p>
                                <sup>a</sup> Questionnaire for patients with benign abnormality.</p>
                        </fn>
                        <fn id="table1fn2">
                            <p>
                                <sup>b</sup> Questionnaire for patients with breast cancer.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>Statistical Analyses</title>
                <sec>
                    <title>Respondent Characteristics</title>
                    <p>To check whether our matching procedure was successful, we compared the selected patients within the two surveys on age and gender. Respondents were compared concerning age, level of education, self-reported physical and psychological health (Mann-Whitney test), and gender (&#967;<sup>2</sup> test).</p>
                </sec>
                <sec>
                    <title>Response Rate and Time</title>
                    <p>Response rates were calculated as the number of valid received questionnaires divided by the number of patients in the starting sample. The response time was calculated as the number of days between the first letter (January 31, 2008) and the return date of the valid questionnaire. For the mixed-mode survey, the number of days between sending the paper questionnaire (February 28, 2008) and receiving the valid paper questionnaire was also calculated. The closing date of the data collection was April 1, 2008. A chi-square test was used to examine the differences in response rates between the two surveys because of the dichotomous variable (respondent/ nonrespondent). The differences in response time were determined using a Mann-Whitney test because the response time is a continuous variable.</p>
                </sec>
                <sec>
                    <title>Quality of Data</title>
                    <p>The percentage of items that were skipped while they needed to be answered (missing items) and the percentage of the items that were answered while they needed to be skipped (invalid answers) were calculated. The percentages were compared between the two surveys using a Mann-Whitney test because these percentages are continuous variables.</p>
                </sec>
                <sec>
                    <title>Total Costs</title>
                    <p>Expenses considered in cost calculations included setup costs (document layout, programming and testing of the questionnaire for each survey, and mailing supplies), field costs (postage, technical support, and project management staff), and scanning data costs (data entry of paper questionnaires). The costs per valid questionnaire received were calculated by dividing the total costs by the number of valid questionnaires received.</p>
                </sec>
                <sec>
                    <title>Mode Effects</title>
                    <p>We performed multilevel regression analyses to examine the mode effects. Multilevel regression analyses take into account the hierarchical structure of our data: individual patients (level 1) are nested within hospitals (level 2). The analyses were conducted using MLwiN version 2.02 software package (Centre for Multilevel Modelling, University of Bristol, Bristol, UK). Mode effects were examined by comparing the estimated mean scores on seven global ratings of general practitioner, hospital care in the diagnostic phase, surgeon, nurses, radiotherapy, chemotherapy, and hospital care in general using a chi-square test (<italic>P</italic> &#60; .05 if &#967;<sup>2</sup> &#62; 3.8 and <italic>P</italic> &#60; .001 if &#967;<sup>2</sup> &#62; 6.6). The mean scores were adjusted for the influence of age, education level, and self-reported health status of respondents.</p>
                    <p> In addition, within the mixed-mode survey, we examined the differences in respondent characteristics, differences in response rates, and time and mode effects for respondents who filled out the Internet questionnaire and the paper questionnaire.</p>
                </sec>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <sec>
                <title>Respondent Characteristics</title>
                <p>Characteristics of the sample are presented in <xref ref-type="table" rid="table2">Table 2</xref>. Our matching procedure was successful since age and gender of the selected patients did not differ between the postal and mixed-mode survey. Patients with benign abnormalities were younger then patients with breast cancer (<italic>P</italic> &#60; .001).</p>
                <table-wrap id="table2" position="float">
                    <label>Table 2</label>
                    <caption>
                        <p>Sample characteristics</p>
                    </caption>
                    <table cellpadding="8" cellspacing="0" border="1" rules="groups" frame="hsides" width="1000">
                        <col width="10" />
                        <col width="190" />
                        <col width="175" />
                        <col width="175" />
                        <col width="150" />
                        <col width="150" />
                        <col width="150" />
                        <thead>
                            <tr valign="top">
                                <td colspan="2" />
                                <td>Postal survey</td>
                                <td>Mixed-mode survey</td>
                                <td>Mean difference</td>
                                <td>95% CI</td>
                                <td>
                                    <italic>P</italic> value</td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Overall (n)</bold>
                                </td>
                                <td>400</td>
                                <td>400</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean age (SD) years</td>
                                <td>55.5 (14.5)</td>
                                <td>55.5 (14.8)</td>
                                <td>&#8211;0.1</td>
                                <td>&#8211;2.1 to 1.9</td>
                                <td>.93</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Female</td>
                                <td>97.3% (389/400)</td>
                                <td>97.3% (389/400)</td>
                                <td>0.0</td>
                                <td>0.0</td>
                                <td>1.00</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Breast cancer (n)</bold>
                                </td>
                                <td>200</td>
                                <td>200</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean age (SD) years</td>
                                <td>61.3 (12.7)</td>
                                <td>61.8 (12.9)</td>
                                <td>&#8211;0.4</td>
                                <td>&#8211;2.9 to 2.1</td>
                                <td>.77</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Female</td>
                                <td>99.0% (198/200)</td>
                                <td>99.0% (198/200)</td>
                                <td>0.0</td>
                                <td>0.0</td>
                                <td>1.00</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Benign</bold>
                                    <bold>abnormalities</bold>
                                    <bold>(n)</bold>
                                </td>
                                <td>200</td>
                                <td>200</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean age (SD) years</td>
                                <td>49.5 (13.7)</td>
                                <td>49.3 (14.0)</td>
                                <td>0.2</td>
                                <td>&#8211;2.5 to 2.9</td>
                                <td>.89</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Female</td>
                                <td>95.5% (191/200)</td>
                                <td>95.5% (191/200)</td>
                                <td>0.0</td>
                                <td>0.0</td>
                                <td>1.00</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>
                    <xref ref-type="table" rid="table3">Table 3</xref> shows that also the characteristics of the respondents did not differ between the postal and mixed-mode survey.</p>
                <table-wrap id="table3" position="float">
                    <label>Table 3</label>
                    <caption>
                        <p>Respondents&#8217; age, gender, level of education, and self-reported physical and psychological health</p>
                    </caption>
                    <table cellpadding="8" cellspacing="0" border="1" rules="groups" frame="hsides" width="1000">
                        <col width="10" />
                        <col width="240" />
                        <col width="150" />
                        <col width="150" />
                        <col width="150" />
                        <col width="150" />
                        <col width="150" />
                        <thead>
                            <tr valign="top">
                                <td colspan="2" />
                                <td>Postal survey</td>
                                <td>Mixed-mode survey</td>
                                <td>Mean difference</td>
                                <td>95% CI</td>
                                <td>
                                    <italic>P</italic> value</td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Overall (n)</bold>
                                </td>
                                <td>256</td>
                                <td>242</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean age (SD), years</td>
                                <td>55.8 (13.5)</td>
                                <td>57.0 (13.6)</td>
                                <td>&#8211;1.2</td>
                                <td>&#8211;3.6 to 1.2</td>
                                <td>.32</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Female</td>
                                <td>97.7% (250/256)</td>
                                <td>97.5% (236/242)</td>
                                <td>0.1</td>
                                <td>&#8211;2.6 to 2.8</td>
                                <td>1.00</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Breast cancer (n)</bold>
                                </td>
                                <td>134</td>
                                <td>132</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean age (SD), years</td>
                                <td>60.2 (12.4)</td>
                                <td>62.1 (12.4)</td>
                                <td>&#8211;1.9</td>
                                <td>&#8211;5.0 to 1.0</td>
                                <td>.26</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Female</td>
                                <td>98.5% (132/134)</td>
                                <td>99.2% (131/132)</td>
                                <td>0.7</td>
                                <td>&#8211;3.3 to 3.3</td>
                                <td>1.00</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Benign</bold>
                                    <bold>abnormalities</bold>
                                    <bold>(n)</bold>
                                </td>
                                <td>122</td>
                                <td>110</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean age (SD), years</td>
                                <td>50.8 (13.1)</td>
                                <td>50.8 (12.4)</td>
                                <td>0.1</td>
                                <td>&#8211;3.2 to 3.4</td>
                                <td>.29</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Female</td>
                                <td>96.7% (118/122)</td>
                                <td>95.5% (105/110)</td>
                                <td>1.2</td>
                                <td>&#8211;3.7 to 6.2</td>
                                <td>.74</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Education level (n)</bold>
                                </td>
                                <td>251</td>
                                <td>232</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean (SD)</td>
                                <td>4.4 (1.9)</td>
                                <td>4.6 (1.8)</td>
                                <td>&#8211;0.2</td>
                                <td>&#8211;0.6 to 0.1</td>
                                <td>.09</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Less than high school</td>
                                <td>41.1% (103/251)</td>
                                <td>31.0% (72/232)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>High school graduated</td>
                                <td>20.3% (51/251)</td>
                                <td>25.0% (58/232)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Higher education</td>
                                <td>31.6% (79/251)</td>
                                <td>39.3% (91/232)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>College degree</td>
                                <td>4.8% (12/251)</td>
                                <td>2.2% (5/232)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Other</td>
                                <td>2.4% (6/251)</td>
                                <td>2.6% (6/232)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Self-reported physical health (n)</bold>
                                </td>
                                <td>254</td>
                                <td>239</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean (SD)</td>
                                <td>2.9 (0.8)</td>
                                <td>2.8 (0.9)</td>
                                <td>0.1</td>
                                <td>&#8211;0.04 to 0.3</td>
                                <td>.29</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Excellent</td>
                                <td>5.1% (13/254)</td>
                                <td>11.3% (27/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Very good</td>
                                <td>20.1% (51/254)</td>
                                <td>16.7% (40/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Good</td>
                                <td>55.5% (141/254)</td>
                                <td>55.6% (133/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Fair</td>
                                <td>17.3% (44/254)</td>
                                <td>13.4% (32/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Poor</td>
                                <td>2.0% (5/254)</td>
                                <td>2.9% (7/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Self-reported psychological health (n)</bold>
                                </td>
                                <td>255</td>
                                <td>239</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean (SD)</td>
                                <td>2.6 (1.0)</td>
                                <td>2.6 (1.0)</td>
                                <td>0.1</td>
                                <td>&#8211;0.1 to 0.2</td>
                                <td>.40</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Excellent</td>
                                <td>16.9% (43/255)</td>
                                <td>18.4% (44/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Very good</td>
                                <td>18.4% (47/255)</td>
                                <td>23.0% (55/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Good</td>
                                <td>51.8% (129/255)</td>
                                <td>44.4% (106/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Fair</td>
                                <td>11.4% (32/255)</td>
                                <td>13.4% (32/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Poor</td>
                                <td>1.6% (4/255)</td>
                                <td>0.8% (7/239)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Within the mixed-mode survey, differences were found between those who filled out the Internet questionnaire and those who filled out the paper questionnaire. Internet respondents were younger, were more often highly educated, and reported better psychological health compared with respondents who filled out the paper questionnaire (<xref ref-type="table" rid="table4">Table 4</xref>). Also, both paper and Internet respondents with benign abnormalities were younger than their counterparts with breast cancer (<italic>Ps</italic> &#60; .001; not in table).</p>
                <table-wrap id="table4" position="float">
                    <label>Table 4</label>
                    <caption>
                        <p>Respondents&#8217; characteristics within the mixed-mode survey: age, gender, level of education, and self-reported physical and psychological health</p>
                    </caption>
                    <table cellpadding="8" cellspacing="0" border="1" rules="groups" frame="hsides" width="1000">
                        <col width="10" />
                        <col width="240" />
                        <col width="150" />
                        <col width="150" />
                        <col width="150" />
                        <col width="150" />
                        <col width="150" />
                        <thead>
                            <tr valign="top">
                                <td colspan="2" />
                                <td>Postal</td>
                                <td>Internet</td>
                                <td>Mean difference</td>
                                <td>95% CI</td>
                                <td>
                                    <italic>P</italic> value</td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Overall (n)</bold>
                                </td>
                                <td>114</td>
                                <td>128</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean age (SD), years</td>
                                <td>61.8 (14.0)</td>
                                <td>52.7 (11.6)</td>
                                <td>&#8211;9.1</td>
                                <td>&#8211;12.3 to &#8211;5.8</td>
                                <td>&#60;.001</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Female</td>
                                <td>99.1% (113/114)</td>
                                <td>96.1% (123/128)</td>
                                <td>&#8211;3.0</td>
                                <td>&#8211;6.9 to 0.9</td>
                                <td>.22</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Breast cancer (n)</bold>
                                </td>
                                <td>68</td>
                                <td>64</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean age (SD), years</td>
                                <td>67.9 (11.2)</td>
                                <td>56.0 (10.5)</td>
                                <td>&#8211;12.0</td>
                                <td>&#8211;15.7 to 8.2</td>
                                <td>1.00</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Female</td>
                                <td>98.5% (67/68)</td>
                                <td>100% (64/64)</td>
                                <td>1.5</td>
                                <td>&#8211;1.5 to 4.5</td>
                                <td>1.00</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Benign</bold>
                                    <bold>abnormalities</bold>
                                    <bold>(n)</bold>
                                </td>
                                <td>46</td>
                                <td>64</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean age (SD), years</td>
                                <td>52.7 (12.9)</td>
                                <td>49.5 (11.9)</td>
                                <td>&#8211;3.2</td>
                                <td>&#8211;7.9 to 1.5</td>
                                <td>.18</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Female</td>
                                <td>100% (46/46)</td>
                                <td>92.2 % (59/64)</td>
                                <td>&#8211;7.8</td>
                                <td>&#8211;15.7 to 1.0</td>
                                <td>.07</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Education level (n)</bold>
                                </td>
                                <td>105</td>
                                <td>127</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean (SD)</td>
                                <td>4.2 (1.8)</td>
                                <td>4.9 (1.8)</td>
                                <td>0.7</td>
                                <td>0.3 to 1.2</td>
                                <td>.002</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Less than high school</td>
                                <td>38.1% (40/105)</td>
                                <td>25.2% (32/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>High school graduated</td>
                                <td>41.0% (43/105)</td>
                                <td>38.6% (49/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Higher education</td>
                                <td>18.1% (19/105)</td>
                                <td>29.9% (38/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>University degree</td>
                                <td>0.0% (0/105)</td>
                                <td>3.9% (5/12)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Other</td>
                                <td>2.9% (1/105)</td>
                                <td>2.4% (3/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Self-reported physical health (n)</bold>
                                </td>
                                <td>112</td>
                                <td>127</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean (SD)</td>
                                <td>2.9 (0.9)</td>
                                <td>2.7 (0.9)</td>
                                <td>&#8211;0.1</td>
                                <td>&#8211;0.4 to 0.1</td>
                                <td>.14</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Excellent</td>
                                <td>12.5% (14/112)</td>
                                <td>10.2% (13/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Very good</td>
                                <td>11.6% (13/112)</td>
                                <td>21.3% (27/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Good</td>
                                <td>55.4% (62/112)</td>
                                <td>55.9% (71/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Fair</td>
                                <td>17.9% (20/112)</td>
                                <td>9.4% (12/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Poor</td>
                                <td>2.7% (3/112)</td>
                                <td>3.1% (4/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Self-reported psychological health (n)</bold>
                                </td>
                                <td>112</td>
                                <td>127</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Mean (SD)</td>
                                <td>2.7 (1.0)</td>
                                <td>2.4 (0.9)</td>
                                <td>&#8211;0.3</td>
                                <td>&#8211;0.5 to 0.03</td>
                                <td>.02</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Excellent</td>
                                <td>17.0% (19/112)</td>
                                <td>19.7% (25/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Very good</td>
                                <td>17.0% (19/112)</td>
                                <td>28.3% (36/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Good</td>
                                <td>46.4% (52/112)</td>
                                <td>42.5% (54/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Fair</td>
                                <td>18.8% (21/112)</td>
                                <td>8.7% (11/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Poor</td>
                                <td>0.9% (1/112)</td>
                                <td>0.8% (1/127)</td>
                                <td />
                                <td />
                                <td />
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec>
                <title>Response Rates and Times</title>
                <p>The response rate did not differ between the two surveys and was 64.0% (256/400 patients) for the postal survey and 60.5% (242/400 patients) for the mixed-mode survey (<italic>P</italic> = .31; <xref ref-type="table" rid="table5">Table 5</xref>). While the response rates of patients with breast cancer and of patients with benign abnormalities did not differ in the postal survey (134/200, 67.0% versus 122/200, 61.0%, respectively; <italic>P</italic> = .21), the response rate was significantly higher for patients with breast cancer than for patients with benign abnormalities in the mixed-mode survey (132/200, 66.0% versus 110/200, 55.0%, respectively; <italic>P</italic> = .02).</p>
                <p>In the mixed-mode survey, 52.9% (128/242) of the respondents filled out the questionnaire online. The percentage of patients with benign abnormalities who filled out the questionnaire online was higher (64/110, 58%) than the percentage of patients with breast cancer (64/134, 49%). However, this difference was not significant (<italic>P</italic>
                    <italic>=</italic> .13).</p>
                <table-wrap id="table5" position="float">
                    <label>Table 5</label>
                    <caption>
                        <p>Response rates for each survey and for patients with breast cancer or benign abnormalities</p>
                    </caption>
                    <table cellpadding="8" cellspacing="0" border="1" rules="groups" frame="hsides" width="1000">
                        <col width="250" />
                        <col width="75" />
                        <col width="100" />
                        <col width="75" />
                        <col width="100" />
                        <col width="100" />
                        <col width="200" />
                        <col width="100" />
                        <thead>
                            <tr valign="top">
                                <td />
                                <td colspan="2">Postal survey</td>
                                <td colspan="2">Mixed-mode survey</td>
                                <td>Mean <break /> difference</td>
                                <td>95% CI</td>
                                <td>
                                    <italic>P</italic> value</td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td>Overall response</td>
                                <td>64.0%</td>
                                <td>256/400</td>
                                <td>60.5%</td>
                                <td>242/400</td>
                                <td>3.4%</td>
                                <td>&#8211;3.2% to 10.2%</td>
                                <td>.32</td>
                            </tr>
                            <tr valign="top">
                                <td>Breast cancer</td>
                                <td>67.0%</td>
                                <td>134/200</td>
                                <td>66.0%</td>
                                <td>132/200</td>
                                <td>1.0%</td>
                                <td>&#8211;8.3% to 10.3%</td>
                                <td>.83</td>
                            </tr>
                            <tr valign="top">
                                <td>Benign abnormality</td>
                                <td>61.0%</td>
                                <td>122/200</td>
                                <td>55.0%</td>
                                <td>110/200</td>
                                <td>6.0%</td>
                                <td>&#8211;3.7% to 15.7%</td>
                                <td>.23</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>
                    <xref ref-type="fig" rid="figure2">Figure 2</xref> and <xref ref-type="fig" rid="figure3">Figure 3</xref> show the cumulative percentage of questionnaires received by days after the first mail-shot. The vertical lines in the graphs represent the reminders that were sent. In the postal survey, questionnaires were returned 20 days earlier than in the mixed-mode survey (<italic>z</italic> = &#8211;3.59, <italic>P</italic> &#60; .001). The median number of days expired before the questionnaire was returned was 12 days (range 4&#8211;60 days) in the postal survey and 32 days (range 2&#8211;61 days) in the mixed-mode survey.</p>
                <p>In the mixed-mode survey, the paper questionnaires were sent in week 4 (second reminder). The median number of days expired before these paper questionnaires were returned was 7 days (range 4&#8211;33 days). The median number of days expired before online questionnaires were filled out was 9 days (range 2&#8211;59 days). In other words, the longer response time in the mixed-mode survey was mainly caused by the group who did not respond using the Internet.</p>
                <fig id="figure2" position="float">
                    <label>Figure 2</label>
                    <caption>
                        <p>Percentage of received questionnaires by days after first mail-shot for the postal and mixed-mode surveys.</p>
                    </caption>
                    <graphic xlink:href="jmir_v13i3e68_fig2.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
                <fig id="figure3" position="float">
                    <label>Figure 3</label>
                    <caption>
                        <p>Percentage of received questionnaires by days after first mail-shot for the Internet and paper questionnaires within the mixed-mode survey.</p>
                    </caption>
                    <graphic xlink:href="jmir_v13i3e68_fig3.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
            </sec>
            <sec>
                <title>Quality of Data</title>
                <p>The mean percentage of missing items per question differed significantly between the two surveys (z = &#8211;3.08, <italic>P</italic> = .002): the mean percentage of missing items was lower in the mixed-mode survey than in the postal survey (5.04/150, 3.4% versus 6.60/150, 4.4%, respectively). In addition, the mean percentage of invalid answers was twice as high in the postal survey as in the mixed-mode survey (4.99/81, 6.2% versus 2.50/81, 3.2%, respectively; <italic>z</italic> = &#8211;3.68, <italic>P</italic> &#60; .001).</p>
            </sec>
            <sec>
                <title>Costs</title>
                <p>The costs per valid questionnaire returned were higher in the postal survey than in the mixed-mode survey (&#8364;25.8 versus &#8364;23.9 per valid questionnaire returned, respectively). Compared with the postal survey, the variable costs were reduced by 17% of the total costs in the mixed-mode survey, but the fixed costs were raised by 17% (<xref ref-type="table" rid="table6">Table 6</xref>).</p>
                <table-wrap id="table6" position="float">
                    <label>Table 6</label>
                    <caption>
                        <p>Fixed and variable costs per valid questionnaire returned</p>
                    </caption>
                    <table cellpadding="8" cellspacing="0" border="1" rules="groups" frame="hsides" width="1000">
                        <col width="10" />
                        <col width="490" />
                        <col width="125" />
                        <col width="125" />
                        <col width="125" />
                        <col width="125" />
                        <thead>
                            <tr valign="top">
                                <td colspan="2">Costs</td>
                                <td colspan="2">Postal survey</td>
                                <td colspan="2">Mixed-mode survey</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td colspan="2">%</td>
                                <td>Cost (&#8364;)</td>
                                <td>%</td>
                                <td>Cost (&#8364;)</td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Fixed costs</bold>
                                </td>
                                <td>41.5</td>
                                <td>10.7</td>
                                <td>58.4</td>
                                <td>14.0</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>General</td>
                                <td>3.6</td>
                                <td>0.9</td>
                                <td>2.1</td>
                                <td>0.5</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Information technology (programming software, scanning, Internet questionnaire design)</td>
                                <td>35.0</td>
                                <td>9.0</td>
                                <td>53.8</td>
                                <td>12.9</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Processing results and making a data file</td>
                                <td>2.9</td>
                                <td>0.8</td>
                                <td>2.5</td>
                                <td>0.6</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Variable costs</bold>
                                </td>
                                <td>58.5</td>
                                <td>15.1</td>
                                <td>41.6</td>
                                <td>9.9</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Material (paper, envelopes)</td>
                                <td>1.4</td>
                                <td>0.4</td>
                                <td>0.9</td>
                                <td>0.2</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Printing (letters, survey, reminders)</td>
                                <td>26.3</td>
                                <td>6.8</td>
                                <td>21.6</td>
                                <td>5.2</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Preparing tasks (folding forms/questionnaires, thank you cards, filling envelopes)</td>
                                <td>4.2</td>
                                <td>1.1</td>
                                <td>4.6</td>
                                <td>1.1</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Response processing (opening envelope, checking, scanning data)</td>
                                <td>8.6</td>
                                <td>2.2</td>
                                <td>4.6</td>
                                <td>1.1</td>
                            </tr>
                            <tr valign="top">
                                <td />
                                <td>Postal costs</td>
                                <td>17.9</td>
                                <td>4.6</td>
                                <td>9.9</td>
                                <td>2.4</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="2">
                                    <bold>Total</bold>
                                </td>
                                <td>100.0</td>
                                <td>25.8</td>
                                <td>100.0</td>
                                <td>23.9</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec>
                <title>Mode Effects</title>
                <p>In <xref ref-type="table" rid="table7">Table 7</xref>, the mean scores on seven global ratings of different health care providers are presented. These mean scores have been corrected for hospital, age, level of education, and self-reported health status. The scores are relatively high, ranging from 8.3 to 9.0. Respondents in the postal survey gave the radiotherapist a score of 9.0 and the total care in the hospital a score of 8.3. The respondents in the mixed-mode survey rated the general practitioner and chemotherapy care the highest (score = 8.8) and gave care at the hospital in the diagnosis phase and hospital care a score of 8.4. We found no significant differences in global ratings between the two surveys.</p>
                <table-wrap id="table7" position="float">
                    <label>Table 7</label>
                    <caption>
                        <p>Mean scores on global ratings of different health care providers (corrected for hospital, age, education, and self-reported health status) for respondents to the postal survey and mixed-mode survey</p>
                    </caption>
                    <table cellpadding="8" cellspacing="0" border="1" rules="groups" frame="hsides" width="1000">
                        <col width="21" />
                        <col width="500" />
                        <col width="63" />
                        <col width="63" />
                        <col width="83" />
                        <col width="63" />
                        <col width="63" />
                        <col width="83" />
                        <col width="63" />
                        <thead>
                            <tr valign="top">
                                <td />
                                <td />
                                <td colspan="3">Postal survey</td>
                                <td colspan="4">Mixed-mode survey</td>
                            </tr>
                            <tr valign="bottom">
                                <td colspan="2">Ratings of health care providers</td>
                                <td>n</td>
                                <td>Mean<sup>a</sup>
                                </td>
                                <td>SE</td>
                                <td>N</td>
                                <td>Mean<sup>a</sup>
                                </td>
                                <td>SE</td>
                                <td>&#967;<sup>2</sup>
                                    <sub>1</sub>
                                </td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td>1</td>
                                <td>General practitioner</td>
                                <td>105</td>
                                <td>8.5</td>
                                <td>0.21</td>
                                <td>114</td>
                                <td>8.8</td>
                                <td>0.22</td>
                                <td>2.1</td>
                            </tr>
                            <tr valign="top">
                                <td>2</td>
                                <td>Hospital care in diagnostic phase</td>
                                <td>240</td>
                                <td>8.4</td>
                                <td>0.11</td>
                                <td>220</td>
                                <td>8.4</td>
                                <td>0.11</td>
                                <td>0.0</td>
                            </tr>
                            <tr valign="top">
                                <td>3</td>
                                <td>Surgeon<sup>b</sup>
                                </td>
                                <td>85</td>
                                <td>8.9</td>
                                <td>0.19</td>
                                <td>102</td>
                                <td>8.5</td>
                                <td>0.20</td>
                                <td>2.6</td>
                            </tr>
                            <tr valign="top">
                                <td>4</td>
                                <td>Nurses<sup>b</sup>
                                </td>
                                <td>75</td>
                                <td>8.7</td>
                                <td>0.19</td>
                                <td>77</td>
                                <td>8.7</td>
                                <td>0.20</td>
                                <td>0.1</td>
                            </tr>
                            <tr valign="top">
                                <td>5</td>
                                <td>Radiotherapy<sup>b</sup>
                                </td>
                                <td>68</td>
                                <td>9.0</td>
                                <td>0.19</td>
                                <td>80</td>
                                <td>8.7</td>
                                <td>0.22</td>
                                <td>2.1</td>
                            </tr>
                            <tr valign="top">
                                <td>6</td>
                                <td>Chemotherapy<sup>b</sup>
                                </td>
                                <td>41</td>
                                <td>8.9</td>
                                <td>0.24</td>
                                <td>50</td>
                                <td>8.8</td>
                                <td>0.23</td>
                                <td>0.2</td>
                            </tr>
                            <tr valign="top">
                                <td>7</td>
                                <td>Hospital care in general</td>
                                <td>239</td>
                                <td>8.3</td>
                                <td>0.11</td>
                                <td>222</td>
                                <td>8.4</td>
                                <td>0.14</td>
                                <td>0.5</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn id="table7fn1">
                            <p>
                                <sup>a</sup> Measured on an 11-point scale from 0 (worst possible) to 10 (best possible).</p>
                        </fn>
                        <fn id="table7fn2">
                            <p>
                                <sup>b</sup> Only in breast cancer questionnaire.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <p>
                    <xref ref-type="table" rid="table8">Table 8</xref> shows the differences in global ratings given by respondents to the paper and Internet questionnaires within the mixed-mode survey. The global rating of nurses differed significantly between these two groups: respondents filling out the paper questionnaire rated the nurses significantly more positively than respondents filling out the questionnaire online (score 9.2 versus 8.4, respectively; c<sup>2</sup> &#62; 3.8).</p>
                <table-wrap id="table8" position="float">
                    <label>Table 8</label>
                    <caption>
                        <p>Mean scores on global ratings of different health care providers (corrected for hospital, age, education, and self-reported health status) for respondents to the postal or Internet questionnaire within the mixed-mode survey</p>
                    </caption>
                    <table cellpadding="8" cellspacing="0" border="1" rules="groups" frame="hsides" width="1000">
                        <col width="26" />
                        <col width="410" />
                        <col width="51" />
                        <col width="77" />
                        <col width="103" />
                        <col width="77" />
                        <col width="77" />
                        <col width="103" />
                        <col width="77" />
                        <thead>
                            <tr valign="top">
                                <td colspan="2" rowspan="2">Ratings of health care providers</td>
                                <td colspan="3">Paper questionnaire</td>
                                <td colspan="4">Internet questionnaire</td>
                            </tr>
                            <tr valign="bottom">
                                <td>n</td>
                                <td>Mean<sup>a</sup>
                                </td>
                                <td>SE</td>
                                <td>n</td>
                                <td>Mean<sup>a</sup>
                                </td>
                                <td>SE</td>
                                <td>&#967;<sup>2</sup>
                                    <sub>1</sub>
                                </td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td>1</td>
                                <td>General practitioner</td>
                                <td>48</td>
                                <td>8.7</td>
                                <td>0.25</td>
                                <td>66</td>
                                <td>8.7</td>
                                <td>0.23</td>
                                <td>0.0</td>
                            </tr>
                            <tr valign="top">
                                <td>2</td>
                                <td>Hospital care during diagnosis phase</td>
                                <td>96</td>
                                <td>8.4</td>
                                <td>0.16</td>
                                <td>124</td>
                                <td>8.3</td>
                                <td>0.16</td>
                                <td>0.3</td>
                            </tr>
                            <tr valign="top">
                                <td>3</td>
                                <td>Surgeon<sup>b</sup>
                                </td>
                                <td>49</td>
                                <td>8.7</td>
                                <td>0.26</td>
                                <td>56</td>
                                <td>8.2</td>
                                <td>0.25</td>
                                <td>3.0</td>
                            </tr>
                            <tr valign="top">
                                <td>4</td>
                                <td>Nurses<sup>b</sup>
                                </td>
                                <td>35</td>
                                <td>9.2</td>
                                <td>0.33</td>
                                <td>42</td>
                                <td>8.4</td>
                                <td>0.28</td>
                                <td>5.6</td>
                            </tr>
                            <tr valign="top">
                                <td>5</td>
                                <td>Radiotherapy<sup>b</sup>
                                </td>
                                <td>38</td>
                                <td>8.7</td>
                                <td>0.28</td>
                                <td>43</td>
                                <td>8.5</td>
                                <td>0.26</td>
                                <td>0.3</td>
                            </tr>
                            <tr valign="top">
                                <td>6</td>
                                <td>Chemotherapy<sup>b</sup>
                                </td>
                                <td>21</td>
                                <td>9.0</td>
                                <td>0.34</td>
                                <td>30</td>
                                <td>8.7</td>
                                <td>0.28</td>
                                <td>1.4</td>
                            </tr>
                            <tr valign="top">
                                <td>7</td>
                                <td>Care at hospital</td>
                                <td>98</td>
                                <td>8.4</td>
                                <td>0.16</td>
                                <td>124</td>
                                <td>8.3</td>
                                <td>0.16</td>
                                <td>0.3</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn id="table8fn1">
                            <p>
                                <sup>a</sup> Measured on an 11-point scale from 0 (worst possible) to 10 (best possible).</p>
                        </fn>
                        <fn id="table8fn2">
                            <p>
                                <sup>b</sup> Only in breast cancer questionnaire.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>This study examined whether a mixed-mode survey (Internet questionnaire with paper follow-up) is an alternative to the more traditional postal survey. The results showed that combining an Internet questionnaire with a paper follow-up improved the quality of data and was less expensive than a postal survey. However, the time before questionnaires were received was longer in the mixed-mode survey. No differences between the mixed-mode survey and postal survey were found concerning respondent characteristics, response rates, and global ratings of different health care providers.</p>
            <p> The findings showed that the characteristics of the respondents were the same for the two surveys. This means that mixed-mode surveys attract the same population as postal surveys. In total, 53% of respondents in the mixed-mode survey (128/242) filled out the questionnaire online. It appeared that in the mixed-mode survey Internet respondents were younger and more often highly educated and that they reported better psychological health than paper respondents. The younger people probably were more familiar with the Internet and were more likely to have access to the Internet than older people [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref21">21</xref>]. To overcome the problem of possible exclusion of the elderly and less highly educated, a mixed-mode survey should be chosen rather than an Internet survey [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref29">29</xref>].</p>
            <p>The response rate was relatively high for both surveys (over 60%). In other CQI surveys, the response rates varied between 20% and 79% [<xref ref-type="bibr" rid="ref16">16</xref>]. Perhaps the relatively high response rate is due the subject under study, namely abnormality of the breast. The response rate among women referred for mammography in another study was comparably high, both for the Internet (64%) and for the paper questionnaire (77%) [<xref ref-type="bibr" rid="ref26">26</xref>]. Breast abnormality is a disease that has a huge impact on the emotional and physical quality of life of patients [<xref ref-type="bibr" rid="ref30">30</xref>]. A review showed that saliency of the subject of questionnaires yields higher response rates [<xref ref-type="bibr" rid="ref19">19</xref>]. Our results confirm the result of that review. In the mixed-mode survey, the response rate for patients with breast cancer was higher than the response rate for patients with benign abnormalities, even though the questionnaire for breast cancer was longer.</p>
            <p> The response time for the questionnaires to be returned was longer in the mixed-mode survey than in the postal survey. This effect was unexpected because using the Internet can reduce the time taken to return a questionnaire [<xref ref-type="bibr" rid="ref10">10</xref>-<xref ref-type="bibr" rid="ref12">12</xref>]. Both groups in the mixed-mode survey (paper and Internet respondents) responded relatively quickly (median number of days 7 and 9 days, respectively), but respondents with no access to or interest in the Internet questionnaire only responded after 4 weeks when the paper questionnaire was sent. The relatively quick response by postal respondents in the mixed-mode survey could be explained by the fact that respondents had already been informed about the study. Use of prenotification has been shown to shorten response times [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref31">31</xref>]. Another method to reduce the return time is sending the paper questionnaire out earlier.</p>
            <p>Research has shown that an Internet survey results in more complete data compared with a postal survey [<xref ref-type="bibr" rid="ref32">32</xref>]. This conclusion is confirmed in our study; the quality of data was higher in the mixed-mode survey than in the postal survey. One of the advantages of using the Internet for survey research is the technique of designing questionnaires so that complex skip patterns are invisible to respondents. As a consequence, the online questionnaire resulted in zero missing items and zero invalid answers (eg, answers to questions that had to be skipped). However, given the fact that some groups of people are underrepresented on the Internet (for instance, the elderly), conducting surveys through the Internet alone is not (yet) possible [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref21">21</xref>].</p>
            <p>One of the key potential advantages of using the Internet over paper questionnaires is reducing costs. This study showed that the costs per returned questionnaire was &#8364;2 lower in the mixed-mode survey than in the postal survey. In the present study, the information technology costs were, however, relatively high for the mixed-mode survey. This was due to the need to program two applications, one for scanning the paper questionnaires and one for the Internet questionnaires. In the future, more costs can possibly be saved by using one and the same program for the different data collection methods within a mixed-mode survey. In addition, the variable costs per questionnaire were lower and the fixed costs per questionnaire were higher in the mixed-method survey than in the postal survey. Fixed costs per questionnaire can be reduced if a larger sample is taken, because the fixed activities are divided over the number of returned questionnaires. In other words, the larger the sample, the more money can be saved by using a mixed-mode survey.</p>
            <p>Our study was the first to examine so-called mode effects between a mixed-method survey (Internet with paper follow-up) and postal survey. We found no differences between the two surveys concerning global ratings respondents gave to different health care providers. This is beneficial, because it implies that there is no bias in the scores that is a function of the manner of data collection. Other studies did find mode effects between the answers of telephone respondents and postal respondents [<xref ref-type="bibr" rid="ref23">23</xref>], Internet respondents and telephone respondents [<xref ref-type="bibr" rid="ref24">24</xref>], and Internet respondents and postal respondents [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref33">33</xref>]. One study investigated the differences between a postal and an Internet questionnaire, where a subset of the participants filled out also the alternative version (Internet and paper questionnaire, respectively). They found little or no evidence for a difference in test&#8211;retest reliability and internal consistency when they compared the Internet and paper versions of the questionnaire [<xref ref-type="bibr" rid="ref26">26</xref>].</p>
            <p>We did not ask why respondents in the mixed-mode survey did not fill out the questionnaire online. In one study among nonrespondents of an Internet questionnaire, the nonrespondents indicated that they did not have a computer or access to the Internet. Other reasons were having no experience with the Internet or not trusting the Internet [<xref ref-type="bibr" rid="ref31">31</xref>]. This corresponds with findings by other researchers, who showed that factors influencing response times are privacy concerns and computer anxiety [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref33">33</xref>
            </p>
        </sec>
    </body>
    <back>
        <ack>
            <p>This study was financial supported by the Netherlands Organization for Health Research and Development (ZonMw).</p>
        </ack>
        <fn-group>
            <fn fn-type="conflict">
                <p>None declared</p>
            </fn>
        </fn-group>
        <ref-list>
            <ref id="ref1">
                <label>1</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Schut</surname>
                            <given-names>FT</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Van de Ven</surname>
                            <given-names>WP</given-names>
                        </name>
                    </person-group>
                    <article-title>Rationing and competition in the Dutch health-care system</article-title>
                    <source>Health Econ</source>
                    <year>2005</year>
                    <month>09</month>
                    <volume>14</volume>
                    <issue>Suppl 1</issue>
                    <fpage>S59</fpage>
                    <lpage>74</lpage>
                    <pub-id pub-id-type="doi">10.1002/hec.1036</pub-id>
                    <pub-id pub-id-type="medline">16161190</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Delnoij</surname>
                            <given-names>DM</given-names>
                        </name>
                        <name name-style="western">
                            <surname>ten Asbroek</surname>
                            <given-names>G</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Arah</surname>
                            <given-names>OA</given-names>
                        </name>
                        <name name-style="western">
                            <surname>de Koning</surname>
                            <given-names>JS</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Stam</surname>
                            <given-names>P</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Poll</surname>
                            <given-names>A</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Vriens</surname>
                            <given-names>B</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Schmidt</surname>
                            <given-names>P</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Klazinga</surname>
                            <given-names>NS</given-names>
                        </name>
                    </person-group>
                    <article-title>Made in the USA: the import of American Consumer Assessment of Health Plan Surveys (CAHPS) into the Dutch social insurance system</article-title>
                    <source>Eur J Public Health</source>
                    <year>2006</year>
                    <month>12</month>
                    <volume>16</volume>
                    <issue>6</issue>
                    <fpage>652</fpage>
                    <lpage>9</lpage>
                    <comment>
                        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://eurpub.oxfordjournals.org/cgi/pmidlookup?view=long&#38;pmid=16524940" />
                    </comment>
                    <pub-id pub-id-type="doi">10.1093/eurpub/ckl023</pub-id>
                    <pub-id pub-id-type="medline">16524940</pub-id>
                    <pub-id pub-id-type="pii">ckl023</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref3">
                <label>3</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Zuidgeest</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Sixma</surname>
                            <given-names>H</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Rademakers</surname>
                            <given-names>J</given-names>
                        </name>
                    </person-group>
                    <article-title>Measuring patients' experiences with rheumatic care: the consumer quality index rheumatoid arthritis</article-title>
                    <source>Rheumatol Int</source>
                    <year>2009</year>
                    <month>04</month>
                    <day>16</day>
                    <volume>30</volume>
                    <issue>2</issue>
                    <fpage>159</fpage>
                    <lpage>67</lpage>
                    <pub-id pub-id-type="doi">10.1007/s00296-009-0926-3</pub-id>
                    <pub-id pub-id-type="medline">19370351</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref4">
                <label>4</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Damman</surname>
                            <given-names>OC</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Hendriks</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Sixma</surname>
                            <given-names>HJ</given-names>
                        </name>
                    </person-group>
                    <article-title>Towards more patient centred healthcare: a new Consumer Quality Index instrument to assess patients' experiences with breast care</article-title>
                    <source>Eur J Cancer</source>
                    <year>2009</year>
                    <month>06</month>
                    <volume>45</volume>
                    <issue>9</issue>
                    <fpage>1569</fpage>
                    <lpage>77</lpage>
                    <pub-id pub-id-type="doi">10.1016/j.ejca.2008.12.011</pub-id>
                    <pub-id pub-id-type="medline">19167212</pub-id>
                    <pub-id pub-id-type="pii">S0959-8049(08)01025-3</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref5">
                <label>5</label>
                <nlm-citation citation-type="web">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Brandt</surname>
                            <given-names>H</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Zuidgeest</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Sixma</surname>
                            <given-names>H</given-names>
                        </name>
                    </person-group>
                    <source>Development of CQ-index Care for the Handicapped: measuring the quality of care from a client perspective (in Dutch)</source>
                    <year>2007</year>
                    <access-date>2010-12-06</access-date>
                    <publisher-loc>Utrecht</publisher-loc>
                    <publisher-name>NIVEL</publisher-name>
                    <comment>
                        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.nivel.nl/pdf/Pilot-ontwikkeling-CQ-index-Gehandicaptenzorg-2007.pdf">http://www.nivel.nl/pdf/Pilot-ontwikkeling-CQ-index-Gehandicaptenzorg-2007.pdf</ext-link>
                    </comment>
                    <pub-id pub-id-type="other">5ulsU7mfM</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref6">
                <label>6</label>
                <nlm-citation citation-type="book">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Wiegers</surname>
                            <given-names>TA</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Stubbe</surname>
                            <given-names>JH</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Triemstra</surname>
                            <given-names>M</given-names>
                        </name>
                    </person-group>
                    <source>Development of the CQ-Index Nursing Homes and Homecare: Quality of Life for Residents, Representatives and Clients</source>
                    <year>2007</year>
                    <publisher-loc>Utrecht</publisher-loc>
                    <publisher-name>NIVEL</publisher-name>
                </nlm-citation>
            </ref>
            <ref id="ref7">
                <label>7</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Couper</surname>
                            <given-names>MP</given-names>
                        </name>
                    </person-group>
                    <article-title>Web survey design and administration</article-title>
                    <source>Public Opin Q</source>
                    <year>2001</year>
                    <volume>65</volume>
                    <issue>2</issue>
                    <fpage>230</fpage>
                    <lpage>53</lpage>
                    <pub-id pub-id-type="medline">11420757</pub-id>
                    <pub-id pub-id-type="pii">POQ650204</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref8">
                <label>8</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Kaplowitz</surname>
                            <given-names>MD</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Hadlock</surname>
                            <given-names>TD</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Levine</surname>
                            <given-names>R</given-names>
                        </name>
                    </person-group>
                    <article-title>A comparison of web and mail survey response rates</article-title>
                    <source>Public Opin Q</source>
                    <year>2004</year>
                    <volume>68</volume>
                    <issue>1</issue>
                    <fpage>94</fpage>
                    <lpage>101</lpage>
                </nlm-citation>
            </ref>
            <ref id="ref9">
                <label>9</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Sills</surname>
                            <given-names>SJ</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Song</surname>
                            <given-names>CY</given-names>
                        </name>
                    </person-group>
                    <article-title>Innovations in survey research: an application of web-based surveys</article-title>
                    <source>Soc Sci Comput Rev</source>
                    <year>2002</year>
                    <volume>20</volume>
                    <issue>1</issue>
                    <fpage>22</fpage>
                    <lpage>30</lpage>
                </nlm-citation>
            </ref>
            <ref id="ref10">
                <label>10</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Kiesler</surname>
                            <given-names>S</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Sproull</surname>
                            <given-names>LS</given-names>
                        </name>
                    </person-group>
                    <article-title>Response effects in the electronic survey</article-title>
                    <source>Public Opin Q</source>
                    <year>1986</year>
                    <volume>50</volume>
                    <issue>3</issue>
                    <fpage>402</fpage>
                    <lpage>13</lpage>
                </nlm-citation>
            </ref>
            <ref id="ref11">
                <label>11</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Kwak</surname>
                            <given-names>N</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Radler</surname>
                            <given-names>R</given-names>
                        </name>
                    </person-group>
                    <article-title>A comparison between mail and web surveys: response pattern, respondent profile, and data quality</article-title>
                    <source>J Off Stat</source>
                    <year>2002</year>
                    <volume>18</volume>
                    <issue>2</issue>
                    <fpage>257-73</fpage>
                </nlm-citation>
            </ref>
            <ref id="ref12">
                <label>12</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Schaefer</surname>
                            <given-names>DR</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Dillman</surname>
                            <given-names>DA</given-names>
                        </name>
                    </person-group>
                    <article-title>Development of a standard e-mail methodology</article-title>
                    <source>Public Opin Q</source>
                    <year>1998</year>
                    <volume>62</volume>
                    <issue>3</issue>
                    <fpage>378</fpage>
                    <lpage>397</lpage>
                </nlm-citation>
            </ref>
            <ref id="ref13">
                <label>13</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Schmidt</surname>
                            <given-names>CB</given-names>
                        </name>
                    </person-group>
                    <article-title>Casting the Net: surveying an Internet population</article-title>
                    <source>J Comput Mediat Commun</source>
                    <year>1997</year>
                    <volume>3</volume>
                    <issue>1</issue>
                </nlm-citation>
            </ref>
            <ref id="ref14">
                <label>14</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Tse</surname>
                            <given-names>ACB</given-names>
                        </name>
                    </person-group>
                    <article-title>Comparing the response rate, response speed, and response quality of two methods of sending questionnaires: e-mail vs. mail</article-title>
                    <source>J Market Res Soc</source>
                    <year>1998</year>
                    <volume>40</volume>
                    <issue>4</issue>
                    <fpage>354</fpage>
                    <lpage>361</lpage>
                </nlm-citation>
            </ref>
            <ref id="ref15">
                <label>15</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Leece</surname>
                            <given-names>P</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Bhandari</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Sprague</surname>
                            <given-names>S</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Swiontkowski</surname>
                            <given-names>MF</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Schemitsch</surname>
                            <given-names>EH</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Tornetta</surname>
                            <given-names>P</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Devereaux</surname>
                            <given-names>PJ</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Guyatt</surname>
                            <given-names>GH</given-names>
                        </name>
                    </person-group>
                    <article-title>Internet versus mailed questionnaires: a controlled comparison (2)</article-title>
                    <source>J Med Internet Res</source>
                    <year>2004</year>
                    <month>10</month>
                    <day>29</day>
                    <volume>6</volume>
                    <issue>4</issue>
                    <fpage>e39</fpage>
                    <comment>
                        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2004/4/e39/" />
                    </comment>
                    <pub-id pub-id-type="doi">10.2196/jmir.6.4.e39</pub-id>
                    <pub-id pub-id-type="medline">15631963</pub-id>
                    <pub-id pub-id-type="pii">v6e39</pub-id>
                    <pub-id pub-id-type="pmcid">PMC1550620</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref16">
                <label>16</label>
                <nlm-citation citation-type="book">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Zuidgeest</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Hendriks</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Spreeuwenberg</surname>
                            <given-names>J</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Rademakers</surname>
                            <given-names>J</given-names>
                        </name>
                    </person-group>
                    <source>Usefulness of the CQ index: Report Volume 1: Methods of Data Collection for CQI Research (in Dutch)</source>
                    <year>2008</year>
                    <publisher-loc>Utrecht</publisher-loc>
                    <publisher-name>NIVEL</publisher-name>
                </nlm-citation>
            </ref>
            <ref id="ref17">
                <label>17</label>
                <nlm-citation citation-type="book">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Boer de</surname>
                            <given-names>D</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Hendriks</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Damman</surname>
                            <given-names>OC</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Spreeuwenberg</surname>
                            <given-names>P</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Rademakers</surname>
                            <given-names>J</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Delnoij</surname>
                            <given-names>DJM</given-names>
                        </name>
                        <name name-style="western">
                            <surname>van der Meulen-Arts</surname>
                            <given-names>S</given-names>
                        </name>
                    </person-group>
                    <source>Experiences of Insured With Care and Health insurer: CQ-Index Health and Health Insurance, Measurement 2007 (in Dutch)</source>
                    <year>2007</year>
                    <publisher-loc>Utrecht</publisher-loc>
                    <publisher-name>NIVEL</publisher-name>
                </nlm-citation>
            </ref>
            <ref id="ref18">
                <label>18</label>
                <nlm-citation citation-type="book">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Slijkhuis</surname>
                            <given-names>R</given-names>
                        </name>
                    </person-group>
                    <source>Is Dillman Absolute? Research Into the Influence of Layout and Contact Process of CQI Surveys on the Quantitative Response, Qualitative Response and Cost of Data Collection (in Dutch) [Bachelors thesis]</source>
                    <year>2008</year>
                    <publisher-loc>Twente, Sweden</publisher-loc>
                    <publisher-name>University Twente</publisher-name>
                </nlm-citation>
            </ref>
            <ref id="ref19">
                <label>19</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Edwards</surname>
                            <given-names>P</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Roberts</surname>
                            <given-names>I</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Clarke</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>DiGuiseppi</surname>
                            <given-names>C</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Pratap</surname>
                            <given-names>S</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Wentz</surname>
                            <given-names>R</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Kwan</surname>
                            <given-names>I</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Cooper</surname>
                            <given-names>R</given-names>
                        </name>
                    </person-group>
                    <article-title>Methods to increase response rates to postal questionnaires</article-title>
                    <source>Cochrane Database Syst Rev</source>
                    <year>2007</year>
                    <issue>2</issue>
                    <fpage>MR000008</fpage>
                    <pub-id pub-id-type="doi">10.1002/14651858.MR000008.pub3</pub-id>
                    <pub-id pub-id-type="medline">17443629</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref20">
                <label>20</label>
                <nlm-citation citation-type="web">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Hoksbergen</surname>
                            <given-names>M</given-names>
                        </name>
                    </person-group>
                    <source>Centraal Bureau voor de Statistiek</source>
                    <year>2008</year>
                    <month>12</month>
                    <day>17</day>
                    <access-date>2011-05-11</access-date>
                    <comment>1.2 Million Dutch People Have no Internet Access at Home<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.cbs.nl/nl-NL/menu/themas/vrije-tijd-cultuur/publicaties/artikelen/archief/2008/2008-2641-wm.htm">http://www.cbs.nl/nl-NL/menu/themas/vrije-tijd-cultuur/publicaties/artikelen/archief/2008/2008-2641-wm.htm</ext-link>
                    </comment>
                    <pub-id pub-id-type="other">5ybU734dq</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref21">
                <label>21</label>
                <nlm-citation citation-type="web">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Madden</surname>
                            <given-names>M</given-names>
                        </name>
                    </person-group>
                    <source>Internet Penetration and Impact</source>
                    <year>2009</year>
                    <month>03</month>
                    <day>24</day>
                    <access-date>2009-03-03</access-date>
                    <publisher-loc>Washington, DC</publisher-loc>
                    <publisher-name>Pew Internet &#38; American Life Project</publisher-name>
                    <comment>
                        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.pewinternet.org/~/media//Files/Reports/2006/PIP_Internet_Impact.pdf.pdf">http://www.pewinternet.org/~/media//Files/Reports/2006/PIP_Internet_Impact.pdf.pdf</ext-link>
                    </comment>
                    <pub-id pub-id-type="other">5fViAM9uE</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref22">
                <label>22</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>van Campen</surname>
                            <given-names>C</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Sixma</surname>
                            <given-names>H</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Kerssens</surname>
                            <given-names>JJ</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Peters</surname>
                            <given-names>L</given-names>
                        </name>
                    </person-group>
                    <article-title>Comparisons of the costs and quality of patient data collection by mail versus telephone versus in-person interviews</article-title>
                    <source>Eur J Public Health</source>
                    <year>1998</year>
                    <fpage>66</fpage>
                    <lpage>70</lpage>
                </nlm-citation>
            </ref>
            <ref id="ref23">
                <label>23</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>de Vries</surname>
                            <given-names>H</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Elliott</surname>
                            <given-names>MN</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Hepner</surname>
                            <given-names>KA</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Keller</surname>
                            <given-names>SD</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Hays</surname>
                            <given-names>RD</given-names>
                        </name>
                    </person-group>
                    <article-title>Equivalence of mail and telephone responses to the CAHPS Hospital Survey</article-title>
                    <source>Health Serv Res</source>
                    <year>2005</year>
                    <month>12</month>
                    <volume>40</volume>
                    <issue>6 Pt 2</issue>
                    <fpage>2120</fpage>
                    <lpage>39</lpage>
                    <pub-id pub-id-type="doi">10.1111/j.1475-6773.2005.00479.x</pub-id>
                    <pub-id pub-id-type="medline">16316441</pub-id>
                    <pub-id pub-id-type="pii">HESR479</pub-id>
                    <pub-id pub-id-type="pmcid">PMC1361249</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref24">
                <label>24</label>
                <nlm-citation citation-type="book">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Christian</surname>
                            <given-names>LM</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Dillman</surname>
                            <given-names>DA</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Smyth</surname>
                            <given-names>JD</given-names>
                        </name>
                    </person-group>
                    <person-group person-group-type="editor">
                        <name name-style="western">
                            <surname>Lepkowski</surname>
                            <given-names>JM</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Tucker</surname>
                            <given-names>C</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Leeuw</surname>
                            <given-names>EDD</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Japec</surname>
                            <given-names>L</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Lavrakas</surname>
                            <given-names>P</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Link</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Sangster</surname>
                            <given-names>RL</given-names>
                        </name>
                    </person-group>
                    <article-title>The Effects of Mode and Format on Answers to Scalar Questions in Telephone and Web Surveys</article-title>
                    <source>Advances in Telephone Survey Methodology</source>
                    <year>2007</year>
                    <publisher-loc>Hoboken, NJ</publisher-loc>
                    <publisher-name>Wiley-Interscience</publisher-name>
                    <fpage>250</fpage>
                    <lpage>275</lpage>
                </nlm-citation>
            </ref>
            <ref id="ref25">
                <label>25</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Carini</surname>
                            <given-names>RM</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Hayek</surname>
                            <given-names>JC</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Kuh</surname>
                            <given-names>GD</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Kennedy</surname>
                            <given-names>JM</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Ouimet</surname>
                            <given-names>JA</given-names>
                        </name>
                    </person-group>
                    <article-title>College student responses to web and paper surveys: does mode matter?</article-title>
                    <source>Res Higher Educ</source>
                    <year>2003</year>
                    <volume>44</volume>
                    <issue>1</issue>
                    <fpage>1</fpage>
                    <lpage>19</lpage>
                    <comment>
                        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://nsse.iub.edu/pdf/mode.pdf" />
                    </comment>
                </nlm-citation>
            </ref>
            <ref id="ref26">
                <label>26</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Basnov</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Kongsved</surname>
                            <given-names>SM</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Bech</surname>
                            <given-names>P</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Hjollund</surname>
                            <given-names>NH</given-names>
                        </name>
                    </person-group>
                    <article-title>Reliability of short form-36 in an Internet- and a pen-and-paper version</article-title>
                    <source>Inform Health Soc Care</source>
                    <year>2009</year>
                    <month>01</month>
                    <volume>34</volume>
                    <issue>1</issue>
                    <fpage>53</fpage>
                    <lpage>8</lpage>
                    <pub-id pub-id-type="doi">10.1080/17538150902779527</pub-id>
                    <pub-id pub-id-type="medline">19306199</pub-id>
                    <pub-id pub-id-type="pii">909744214</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref27">
                <label>27</label>
                <nlm-citation citation-type="web">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Koopman</surname>
                            <given-names>L</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Rademakers</surname>
                            <given-names>J</given-names>
                        </name>
                    </person-group>
                    <source>CQ-index Breast Care: Research Into the Discriminative Power: Quality of Care as Perceived by People With a Breast Abnormality From the Patients' Perspective (in Dutch)</source>
                    <year>2008</year>
                    <access-date>2010-12-06</access-date>
                    <publisher-loc>Utrecht</publisher-loc>
                    <publisher-name>NIVEL</publisher-name>
                    <comment>
                        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.nivel.nl/pdf/Rapport-CQI-Mammacare.pdf">http://www.nivel.nl/pdf/Rapport-CQI-Mammacare.pdf</ext-link>
                    </comment>
                    <pub-id pub-id-type="other">5ultiv6lD</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref28">
                <label>28</label>
                <nlm-citation citation-type="book">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Dillman</surname>
                            <given-names>DA</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Smuth</surname>
                            <given-names>JD</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Cristian</surname>
                            <given-names>LM</given-names>
                        </name>
                    </person-group>
                    <source>Internet, Mail and Mixed-Mode Surveys: The Tailored Design Method</source>
                    <year>2009</year>
                    <publisher-loc>Hoboken, NJ</publisher-loc>
                    <publisher-name>Wiley</publisher-name>
                </nlm-citation>
            </ref>
            <ref id="ref29">
                <label>29</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Dickerson</surname>
                            <given-names>MD</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Gentry</surname>
                            <given-names>JW</given-names>
                        </name>
                    </person-group>
                    <article-title>Characteristics of adopters and non-adopters of home computers</article-title>
                    <source>J Consumer Re</source>
                    <year>1983</year>
                    <month>09</month>
                    <volume>10</volume>
                    <issue>2</issue>
                    <fpage>225</fpage>
                    <lpage>35</lpage>
                </nlm-citation>
            </ref>
            <ref id="ref30">
                <label>30</label>
                <nlm-citation citation-type="book">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Slijkhuis</surname>
                            <given-names>R</given-names>
                        </name>
                    </person-group>
                    <source>The Internet: Valid or Flawed: The Internet: Valid or Flawed: Study Into the Validity of the Internet as a Mode of Data Collection in a Survey Among the General Dutch Public [Masters thesis]</source>
                    <year>2008</year>
                    <publisher-loc>Twente, Sweden</publisher-loc>
                    <publisher-name>University Twente</publisher-name>
                </nlm-citation>
            </ref>
            <ref id="ref31">
                <label>31</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Ritter</surname>
                            <given-names>P</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Lorig</surname>
                            <given-names>K</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Laurent</surname>
                            <given-names>D</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Matthews</surname>
                            <given-names>K</given-names>
                        </name>
                    </person-group>
                    <article-title>Internet versus mailed questionnaires: a randomized comparison</article-title>
                    <source>J Med Internet Res</source>
                    <year>2004</year>
                    <month>09</month>
                    <day>15</day>
                    <volume>6</volume>
                    <issue>3</issue>
                    <fpage>e29</fpage>
                    <comment>
                        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2004/3/e29/" />
                    </comment>
                    <pub-id pub-id-type="doi">10.2196/jmir.6.3.e29</pub-id>
                    <pub-id pub-id-type="medline">15471755</pub-id>
                    <pub-id pub-id-type="pii">v6e29</pub-id>
                    <pub-id pub-id-type="pmcid">PMC1550608</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref32">
                <label>32</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Larsson</surname>
                            <given-names>J</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Sandelin</surname>
                            <given-names>K</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Forsberg</surname>
                            <given-names>C</given-names>
                        </name>
                    </person-group>
                    <article-title>Health-related quality of life and healthcare experiences in breast cancer patients in a study of Swedish women</article-title>
                    <source>Cancer Nurs</source>
                    <year>2010</year>
                    <volume>33</volume>
                    <issue>2</issue>
                    <fpage>164</fpage>
                    <lpage>70</lpage>
                    <pub-id pub-id-type="doi">10.1097/NCC.0b013e3181bb0d05</pub-id>
                    <pub-id pub-id-type="medline">20142743</pub-id>
                </nlm-citation>
            </ref>
            <ref id="ref33">
                <label>33</label>
                <nlm-citation citation-type="journal">
                    <person-group person-group-type="author">
                        <name name-style="western">
                            <surname>Kongsved</surname>
                            <given-names>SM</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Basnov</surname>
                            <given-names>M</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Holm-Christensen</surname>
                            <given-names>K</given-names>
                        </name>
                        <name name-style="western">
                            <surname>Hjollund</surname>
                            <given-names>NH</given-names>
                        </name>
                    </person-group>
                    <article-title>Response rate and completeness of questionnaires: a randomized study of Internet versus paper-and-pencil versions</article-title>
                    <source>J Med Internet Res</source>
                    <year>2007</year>
                    <volume>9</volume>
                    <issue>3</issue>
                    <fpage>e25</fpage>
                    <comment>
                        <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:type="simple" xlink:href="http://www.jmir.org/2007/3/e25/" />
                    </comment>
                    <pub-id pub-id-type="doi">10.2196/jmir.9.3.e25</pub-id>
                    <pub-id pub-id-type="medline">17942387</pub-id>
                    <pub-id pub-id-type="pii">v9i3e25</pub-id>
                    <pub-id pub-id-type="pmcid">PMC2047288</pub-id>
                </nlm-citation>
            </ref>
        </ref-list>
    </back>
</article>
