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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>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v21i11e14241</article-id>
      <article-id pub-id-type="pmid">31742561</article-id>
      <article-id pub-id-type="doi">10.2196/14241</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Health-Related Internet Use Among Men With Prostate Cancer in Canada: Cancer Registry Survey Study</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>Saab</surname>
            <given-names>Mohammad</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Ingledew</surname>
            <given-names>Paris-Ann</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Sheon</surname>
            <given-names>Amy</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Bender</surname>
            <given-names>Jacqueline L</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>ELLICSR Cancer Rehabilitation and Survivorship Program</institution>
            <institution>Department of Supportive Care</institution>
            <institution>Princess Margaret Cancer Centre</institution>
            <addr-line>Munk Building, B PMB 130</addr-line>
            <addr-line>585 University Avenue</addr-line>
            <addr-line>Toronto, ON, M5G 2C4</addr-line>
            <country>Canada</country>
            <phone>1 416 581 8606</phone>
            <email>jackie.bender@uhnresearch.ca</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1501-335X</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Feldman-Stewart</surname>
            <given-names>Deb</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5239-6604</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Tong</surname>
            <given-names>Christine</given-names>
          </name>
          <degrees>MA</degrees>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6207-3569</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Lee</surname>
            <given-names>Karen</given-names>
          </name>
          <degrees>MScPT</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6860-7509</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Brundage</surname>
            <given-names>Michael</given-names>
          </name>
          <degrees>MD, MSc</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5104-0497</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Pai</surname>
            <given-names>Howard</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff6" ref-type="aff">6</xref>
          <xref rid="aff7" ref-type="aff">7</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1297-450X</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Robinson</surname>
            <given-names>John</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff8" ref-type="aff">8</xref>
          <xref rid="aff9" ref-type="aff">9</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7371-2901</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author">
          <name name-style="western">
            <surname>Panzarella</surname>
            <given-names>Tony</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3726-8313</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>ELLICSR Cancer Rehabilitation and Survivorship Program</institution>
        <institution>Department of Supportive Care</institution>
        <institution>Princess Margaret Cancer Centre</institution>
        <addr-line>Toronto, ON</addr-line>
        <country>Canada</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Dalla Lana School of Public Health</institution>
        <institution>University of Toronto</institution>
        <addr-line>Toronto, ON</addr-line>
        <country>Canada</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Institute of Health Policy, Management, and Evaluation</institution>
        <institution>University of Toronto</institution>
        <addr-line>Toronto, ON</addr-line>
        <country>Canada</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Department of Oncology</institution>
        <institution>Queen's University</institution>
        <addr-line>Kingston, ON</addr-line>
        <country>Canada</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>Division of Cancer Care and Epidemiology</institution>
        <institution>Queen's Cancer Research Institute</institution>
        <addr-line>Kingston, ON</addr-line>
        <country>Canada</country>
      </aff>
      <aff id="aff6">
        <label>6</label>
        <institution>Division of Radiation Oncology</institution>
        <institution>BC Cancer</institution>
        <addr-line>Victoria, BC</addr-line>
        <country>Canada</country>
      </aff>
      <aff id="aff7">
        <label>7</label>
        <institution>Department of Surgery</institution>
        <institution>University of British Columbia</institution>
        <addr-line>Vancouver, BC</addr-line>
        <country>Canada</country>
      </aff>
      <aff id="aff8">
        <label>8</label>
        <institution>Department of Psychosocial and Rehabilitation Oncology</institution>
        <institution>Tom Baker Cancer Centre</institution>
        <addr-line>Calgary, AB</addr-line>
        <country>Canada</country>
      </aff>
      <aff id="aff9">
        <label>9</label>
        <institution>Department of Oncology</institution>
        <institution>University of Calgary</institution>
        <addr-line>Calgary, AB</addr-line>
        <country>Canada</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Jacqueline L Bender <email>jackie.bender@uhnresearch.ca</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <month>11</month>
        <year>2019</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>19</day>
        <month>11</month>
        <year>2019</year>
      </pub-date>
      <volume>21</volume>
      <issue>11</issue>
      <elocation-id>e14241</elocation-id>
      <history>
        <date date-type="received">
          <day>2</day>
          <month>4</month>
          <year>2019</year>
        </date>
        <date date-type="rev-request">
          <day>29</day>
          <month>5</month>
          <year>2019</year>
        </date>
        <date date-type="rev-recd">
          <day>12</day>
          <month>8</month>
          <year>2019</year>
        </date>
        <date date-type="accepted">
          <day>18</day>
          <month>8</month>
          <year>2019</year>
        </date>
      </history>
      <copyright-statement>©Jacqueline L Bender, Deb Feldman-Stewart, Christine Tong, Karen Lee, Michael Brundage, Howard Pai, John Robinson, Tony Panzarella. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.11.2019.</copyright-statement>
      <copyright-year>2019</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), 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/2019/11/e14241/" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>After a prostate cancer diagnosis, men want information about their disease and treatment options. The internet offers a convenient means to deliver health information to patients with prostate cancer. However, there are concerns about the use of the internet among this largely senior population.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This study aimed to determine the patterns and factors associated with the use of the internet as a source of health information among Canadian men with prostate cancer and the features and information required in a website.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>Population surveys were conducted in four Canadian provinces (British Columbia, Alberta, Saskatchewan, and Ontario) in 2014-2015. Data analyses included descriptive, bivariable, and multivariable analyses. The Pearson Chi-square and univariable regression were used to examine associations between independent variables and health-related internet use. Correlates of health-related internet use were analyzed using multivariable logistic regression.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>A total of 1362 patients responded across the four provinces. The mean age of respondents was 69 years (SD 8.2). In addition, 82% (n=1071) were internet users and 71% (n=910) used the internet daily. Further, 65% (n=784) used the internet as a source of prostate cancer information, and 40% (n=521) were confident about using information obtained from the internet to make health decisions. Men who used the internet to obtain prostate cancer information were more likely to be active information seekers (odds ratio [OR]: 4.5, 95% CI 2.6-7.8), be confident using information from the internet to make health decisions (OR: 3.6, 95% CI 2.3-5.7), have broadband internet access (OR: 1.8, 95% CI 1.2-2.7), and have more unmet supportive care needs (OR: 1.05, 95% CI 1.0-1.1). Top features wanted in a website, reported by more than 50% of respondents, were a library of resources (n=893, 65.6%), tools to support treatment decision making (n=815, 59.8%), and tools to help navigate the prostate cancer journey (n=698, 51.2%). Top three topics of information wanted in such a website were treatment options (n=916, 67.3%), disease progression (n=904, 66.4%), and management of side effects (n=858, 63%).</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Over two-thirds of Canadian patients with prostate cancer surveyed use the internet as a source of health information about prostate cancer, but over half did not feel confident using information from the internet to make health decisions. Being an active information seeker, having confidence in using information from the internet to make health decisions, having broadband internet, and having more unmet supportive care needs were significantly associated with health-related internet use. Future work should examine electronic health literacy interventions as a means to boost men’s confidence in using information from the internet and design websites that include information and features that help men navigate the prostate cancer journey and support treatment decision making and management of side effects.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>prostate cancer</kwd>
        <kwd>internet</kwd>
        <kwd>health decision making</kwd>
        <kwd>digital divide</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>An estimated 1.3 million men worldwide were diagnosed with prostate cancer in 2018 [<xref ref-type="bibr" rid="ref1">1</xref>] and 70% were from developed countries [<xref ref-type="bibr" rid="ref2">2</xref>]. In Canada, one in seven men will be diagnosed with prostate cancer during their lifetime [<xref ref-type="bibr" rid="ref3">3</xref>]. The risk of prostate cancer increases with age, such that 40% of all prostate cancer cases occur in men aged 60-69 years [<xref ref-type="bibr" rid="ref3">3</xref>]. With the aging baby boom population, the number of Canadian men diagnosed with prostate cancer per year is expected to reach 42,000 by 2030 [<xref ref-type="bibr" rid="ref3">3</xref>].</p>
      <p>After a prostate cancer diagnosis, men want information about their disease and treatment options [<xref ref-type="bibr" rid="ref4">4</xref>]. Information can enhance understanding, correct misconceptions about treatment, assist in coping with illness, engender feelings of control, and reduce anxiety by enabling patients to prepare for and predict aversive events [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>]. Previous research has shown that the information needs of patients with prostate cancer are similar across time and different developed countries [<xref ref-type="bibr" rid="ref4">4</xref>]. However, the specific amount and details of information needed varies, as do the reasons for wanting information [<xref ref-type="bibr" rid="ref7">7</xref>].</p>
      <p>The internet offers a convenient and cost-efficient way to provide personally tailored health information and services [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>] and is expected to help reduce social inequalities by providing individuals access to information that might otherwise be inaccessible [<xref ref-type="bibr" rid="ref10">10</xref>]. However, there is concern that the internet may be perpetuating disparities in access to health services by keeping certain segments of the population, such as seniors, on the sidelines [<xref ref-type="bibr" rid="ref11">11</xref>]. According to the 2016 General Social Survey by Statistics Canada, a digital divide based on age still exists in Canada, with internet use being the lowest among those aged ≥75 years [<xref ref-type="bibr" rid="ref12">12</xref>]. At the same time, Canadians aged 65-74 are the fastest-growing segment of internet users, with 81% using the internet in 2016 compared to 65% in 2013 [<xref ref-type="bibr" rid="ref12">12</xref>].</p>
      <p>Previously, we reported that for men with prostate cancer in Canada, the most frequently preferred sources of information about prostate cancer and its treatment are a urologist (96%), followed by a family doctor (90%), printed information (85%), other cancer patients (69%), and the internet (68%) [<xref ref-type="bibr" rid="ref13">13</xref>]. These findings reflect a five-fold increase in the prevalence of health-related internet use among men with prostate in Canada compared to 10 years ago when only 12% of Canadian patients with prostate cancer used the internet as a health resource [<xref ref-type="bibr" rid="ref14">14</xref>]. Moreover, recent data from the US Health Information National Trends survey (HINTs) shows an increasing trend toward using the internet as the first source of health information compared to family/friends/coworkers, health care professionals, and traditional media [<xref ref-type="bibr" rid="ref10">10</xref>].</p>
      <p>Although other studies have examined online health information–seeking behavior in the general population [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>] and cancer survivors specifically [<xref ref-type="bibr" rid="ref15">15</xref>], there are no recent studies on the health-related internet use of patients with prostate cancer. Current population-based data describing patterns of health-related internet use among patients with prostate cancer, as well as their confidence in using that information for making health decisions, could inform patient education and health service efforts. At the same time, understanding the factors associated with health-related internet use would be useful in designing strategies for reducing the digital divide [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>]. In this paper, we report on the patterns and factors associated with the use of the internet as a source of health information among Canadian men with prostate cancer and the information and features wanted in a website.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Study Design</title>
        <p>We conducted a cross-sectional survey using a modified Dillman [<xref ref-type="bibr" rid="ref18">18</xref>] survey methodology, following the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) reporting standards for cross-sectional surveys [<xref ref-type="bibr" rid="ref19">19</xref>]. Survey packages included an addressed, stamped, return envelope, which was to be returned after the survey was completed. After 4 weeks, a second survey package was sent to nonrespondents.</p>
      </sec>
      <sec>
        <title>Setting and Participants</title>
        <p>We surveyed men diagnosed with prostate cancer in four Canadian provinces—British Columbia, Alberta, Saskatchewan, and Ontario—in 2014-2015 using their respective provincial cancer registries. We sought to obtain responses from 10% of the provincial patients and expected a 30% response rate. Thus, to achieve responses from 10% of the target population in each province, each registry invited a random selection of 55%-60% of men diagnosed with prostate cancer in the last 6 months of 2012 to participate in the study. We selected 2012, as it was the latest year for which the registries had complete data. The only inclusion criteria were that the patient had a prostate cancer diagnosis and lived in that province that year.</p>
        <p>Three registries (British Columbia, Alberta, and Saskatchewan) used an “opt-out” recruitment strategy, whereby the registry provided a cover letter introducing the study in the survey package, making clear that the recipient could choose whether to complete the survey. The fourth registry (Ontario) used an “opt-in” recruitment strategy, providing a letter introducing the study and required the recipient to phone the registry to express their interest in participating. The names of interested patients from the opt-out province were then forwarded to the Ontario Lead at the study central office from where the survey was mailed out.</p>
        <p>Each survey had a unique study identification code and did not include any identifying information. For the opt-out provinces, the provincial registries identified nonresponders and sent out the second survey 4 weeks later. For the opt-in province, the Ontario lead identified nonresponders and sent out the second survey 4 weeks later. All completed surveys were eventually mailed to the Ontario Lead at the study central office to be entered in an electronic database for analysis. Ethical approval was attained from each province’s respective university and cancer agency and from the Ontario lead’s university.</p>
      </sec>
      <sec>
        <title>Questionnaire</title>
        <p>The questionnaire contained five sections with 40 questions. It was developed by a team of researchers and health care professionals and piloted with five patients prior to implementation [<xref ref-type="bibr" rid="ref13">13</xref>]. This paper reports on questions pertaining to patterns of internet access and use (n=7), confidence using the internet as a source of health information (n=1), factors associated with health-related internet use including participant demographics (n=8), and what men with prostate cancer want in a website (n=2). All responses were self-reported.</p>
        <p>Questions pertaining to internet access and use included use of the internet (yes/no), type of internet access (dial-up, broadband, cellular network, wireless network, or not sure), devices used to access the internet (desktop/laptop computer, tablet, cellphone/smartphone, or other), internet access from home (yes/no), frequency of internet access (at least once a day, at least once a week, at least once a month, or less than once a month), and websites used for information on prostate cancer or its treatments (open response option).</p>
        <p>Health-related internet use was measured by asking respondents to indicate “how easy or difficult it was to obtain information about prostate cancer and/or its treatments from each of the sources below” of which, “internet (other than personal email or online support groups)” was an option. Response categories included very easy, easy, difficult, very difficult (which were all coded as “yes”), and did not try to use this source (which was coded as “no”).</p>
        <p>Confidence in using the internet as a health resource was measured with one item from the eHealth Literacy Scale (eHEALS). The eHEALS is a validated measure of electronic health (eHealth) literacy, which is intended to capture people’s perceived skills at using information technology for health [<xref ref-type="bibr" rid="ref20">20</xref>]. Specifically, we adapted the final question in the eHEALS scale for prostate cancer: “I feel confident in using information from the Internet to help make health decisions [related to my prostate cancer].<italic>”</italic> We used the same response options as the eHEALS scale: a 5-point Likert scale (1=strongly disagree, 5=strongly agree) with the addition of, “Not applicable, I do not use information from the Internet to help make decisions related to my prostate cancer.”</p>
        <p>Lastly, preferences for using the internet as a health resource were investigated by asking participants to select information and features wanted in a website, from a list.</p>
      </sec>
      <sec>
        <title>Variables</title>
        <p>We examined associations between several variables and health-related information use. <italic>Sociodemographic variables</italic> included age (43-65, 66-75, ≥76 years), education completed (primary or secondary school/college or university), income (≤CAD 40,000, CAD 40,001-80,000, ≥CAD 80,001), area of residence (urban or suburban/rural, town or country), and broadband internet use (yes/no). <italic>Internet experience</italic> variables included frequency of internet use (every day/not every day), number of devices used to access the internet (one device/more than one device), and confidence in using information from the internet to inform health decisions (as described above). <italic>Clinical variables</italic> included treatments (active/active surveillance or watchful waiting). <italic>Information seeking and decision making</italic> variables included an information-seeking role (I did all the looking, I did some of the looking along with someone else/someone else did most or all of the looking, or I did want any information), and role in the decision making process (I made the decision by myself or with my doctor, family/my doctor or a family member made the decision). <italic>Health status variables</italic> included overall health (very good or good/poor or very poor) and number of unmet supportive care needs, as measured by the validated 34-item Supportive Care Needs Survey and the 8-item prostate cancer–specific module [<xref ref-type="bibr" rid="ref21">21</xref>]. Responses were no need or not applicable, yes and the need is met (met need), and yes but the need is not met (unmet need). Unmet need items were summed to create a total unmet need score.</p>
      </sec>
      <sec>
        <title>Data Analysis</title>
        <sec>
          <title>Statistical Analysis</title>
          <p>First, we carried out a descriptive analysis. Sample means and SDs were calculated for discrete/continuous variables and proportions for nominal variables. Chi-square tests and univariable logistic regression analyses were performed to test for associations between health-related internet use and variables hypothesized to be associated with such use. We assessed the construct validity of the eHealth confidence variable by examining correlations with other measures (eg, known components of eHealth literacy) in theoretically predictable ways using the Pearson Chi-square test [<xref ref-type="bibr" rid="ref22">22</xref>]. Lastly, a multivariable logistic regression model was constructed to assess the relative importance of variables that were significantly associated (<italic>P</italic>&#60;.05) with health-related internet use. Variables included in the final model were minimized through an iterative process of adding and removing variables until the model was considered to have a good fit [<xref ref-type="bibr" rid="ref23">23</xref>]. Fit was determined based on significance values, and noting the presence or absence of interactions between variables [<xref ref-type="bibr" rid="ref23">23</xref>].</p>
        </sec>
        <sec>
          <title>Content Analysis of Open-Ended Responses</title>
          <p>Responses to the open-ended question, “Are there any specific Internet site(s) that you like to go to for information related to prostate cancer or its treatments? If Yes, please specify,” came in the form of bulleted phrases with examples. Hence, we used content analysis to code these data into explicit categories, which we then described using statistics [<xref ref-type="bibr" rid="ref24">24</xref>]. One coder (KL) independently reviewed and itemized all unique responses (some participants provided more than one response). A codebook was developed and a coding strategy was applied to code each unique response and organize the responses into explicit categories (eg, national cancer agencies, hospital affiliated websites, commercial websites, and online patient communities). The coding strategy was refined following discussion with the lead author (JLB). A frequency count was performed to quantify the number and proportion of responses in each category.</p>
        </sec>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Sample Characteristics</title>
        <p>A total of 1362 patients returned partially or fully completed surveys across provinces and 46 returned blank surveys. Blank surveys and missing responses from partially completed surveys were excluded from the analysis. The survey response rate for the opt-out provinces was 46%-55% and for the opt-in province, it was 13%. <xref ref-type="table" rid="table1">Table 1</xref> shows respondents’ sociodemographic, treatment, and general health characteristics. The age range of respondents was 43-95 years. Most were on follow-up after treatment (63%) and in good or very good health (93.6%).</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>
          Respondent characteristics.
        </p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="770"/>
            <col width="200"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Characteristic</td>
                <td>Count</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Age (n=1320), mean (SD)</td>
                <td>69.5 (8.2)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Relationship status (n=1313), n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>With partner</td>
                <td>1134 (86)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Without partner</td>
                <td>179 (14)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Sexual orientation (n=1362), n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Heterosexual</td>
                <td>1201 (88.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Gay</td>
                <td>17 (1.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Bisexual</td>
                <td>8 (0.6)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Education (highest level completed) (n=1312), n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Primary or secondary school</td>
                <td>439 (33)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>College, technical school, or university</td>
                <td>873 (67)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Residence (n=1320), n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Urban or suburban</td>
                <td>833 (63)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Rural, town, or country</td>
                <td>487 (37)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Household income (n=1215), n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>&#60;CAD 40,000</td>
                <td>347 (29)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>CAD 40,001-80,000</td>
                <td>454 (37)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>&#62;CAD 80,000</td>
                <td>414 (34)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Language preference for health information (n=1302), n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>English</td>
                <td>1257 (96.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>English and other language</td>
                <td>18 (1.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Other language</td>
                <td>27 (2.3)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Treatments received (n=1362), n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Surgery</td>
                <td>549 (40.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>External beam radiation therapy</td>
                <td>428 (31.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Hormone therapy or androgen deprivation therapy</td>
                <td>343 (25.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Brachytherapy</td>
                <td>240 (17.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Active surveillance</td>
                <td>210 (15.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Watchful waiting</td>
                <td>150 (11)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chemotherapy</td>
                <td>27 (2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Complementary and alternative therapy</td>
                <td>31 (2.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>High-frequency ultrasound therapy</td>
                <td>19 (1.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Cryotherapy</td>
                <td>12 (0.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Immune therapy</td>
                <td>2 (0.1)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Other</td>
                <td>89 (6.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>I don’t know</td>
                <td>19 (1.4)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Stage of cancer journey (n=1139), n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Follow-up monitoring after treatment</td>
                <td>719 (63)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>On active surveillance or watchful waiting</td>
                <td>292 (26)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Recently finished treatment, but have not had any follow-up visits</td>
                <td>47 (4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Currently getting treatment for recurrent cancer</td>
                <td>36 (3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Finished treatment for recurrent cancer (less than 3 months)</td>
                <td>24 (2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Receiving treatment for metastatic disease</td>
                <td>23 (2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Other</td>
                <td>242 (17.2)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>General health (n=1316), n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Very good</td>
                <td>506 (38.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Good</td>
                <td>727 (55.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Poor</td>
                <td>77 (5.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Very poor</td>
                <td>6 (0.5)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Patterns of Internet Use</title>
        <p><xref ref-type="table" rid="table2">Table 2</xref> shows the patterns of internet access and use. A total of 82% of respondents were internet users. The majority of respondents (70.7%) used the internet at least once a day, had home internet access (84.3%), and accessed the internet from a desktop or laptop computer (75.7%) through broadband or wireless (47%) internet connection.</p>
      </sec>
      <sec>
        <title>Health-Related Internet Use and Confidence</title>
        <p>As shown in <xref ref-type="table" rid="table2">Table 2</xref>, 65% (n=784) reported that they used the internet as a source of information about prostate cancer. With respect to confidence in using information from the internet to help make decisions related to prostate cancer, 40.2% (n=521) of the respondents agreed or strongly agreed with the statement, “I feel confident in using information from the Internet to help make health decisions related to my prostate cancer,” 33.5% (n=386) were undecided or disagreed, and about one-quarter (26.3%; n=341) reported that they did not use information from the internet to make decisions related to their prostate cancer. Findings from hypothesis testing provide support of the construct validity of the single item eHealth confidence variable. eHealth confidence was positively correlated with the frequency of internet use (r=0.1, <italic>P</italic>=.003) and negatively correlated with “not being comfortable using a computer or mobile device” (r=–0.15, <italic>P</italic>&#60;.001). In addition, eHealth confidence was negatively correlated with known components of eHealth literacy when framed as barriers. These include “not knowing how to judge the quality of the information or what information to trust” (r=–0.2, <italic>P</italic>&#60;.001), “not knowing how what information applied to me” (r=–0.2, <italic>P</italic>&#60;.001), “not knowing how or where to search for information” (r=–0.2, <italic>P</italic>&#60;.001), and “having difficulty finding information that I could understand” (r=–0.2, <italic>P</italic>&#60;.001).</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>
          Patterns of internet use (n=1362).
        </p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="770"/>
            <col width="200"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Characteristic</td>
                <td>Count, n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Internet use (n=1310)</td>
                <td>1071 (81.8)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Frequency of internet use</bold>
                  <bold>(n=1320)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>At least once a day</td>
                <td>910 (68.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>At least once a week (but not every day)</td>
                <td>143 (10.8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>At least once a month (but not every week)</td>
                <td>25 (1.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Less than once a month</td>
                <td>15 (1.1)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Type of internet access</bold>
                  <bold>(n=1362)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>A regular dial-up telephone line</td>
                <td>61 (4.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Broadband such as DSL<sup>a</sup> or cable</td>
                <td>640 (47.0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>A cellular network (eg, cell or smartphone)</td>
                <td>260 (19.1)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>A wireless network (Wi-Fi)</td>
                <td>639 (46.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Not sure</td>
                <td>20 (1.5)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Devices used to access internet</bold>
                  <bold>(n=1362)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Computer (desktop/laptop)</td>
                <td>1031 (75.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Tablet</td>
                <td>465 (34.1)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Cell phone or smart phone</td>
                <td>411 (30.2)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Home internet access (n=1286)</td>
                <td>1084 (84.3)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Used the internet as a source of prostate cancer information (n=1203)</td>
                <td>784 (65.1)</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Confident using information from the internet to help make decisions about prostate cancer (n=1296)</td>
                <td>521 (40.2)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>DSL: digital subscriber line (the way a computer connects to the internet at high speeds using telephone lines).</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Factors Correlated With Health-Related Internet Use</title>
        <p>As shown in <xref ref-type="table" rid="table3">Table 3</xref>, factors that correlated significantly (<italic>P</italic>&#60;.05) with health-related internet use were younger age, higher education, higher income, urban residence, broadband internet access, frequency of internet use, accessing the internet from multiple devices, confidence in using information from the internet to help make health decisions related to prostate cancer, active information seeking, active decision making role, and greater number of unmet supportive care needs.</p>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Factors associated with health-related internet use (total number of health-related internet users=784/1203 valid responses).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="570"/>
            <col width="150"/>
            <col width="150"/>
            <col width="100"/>
            <thead>
              <tr valign="top">
                <td rowspan="2" colspan="2">Variables (with number of valid responses for both variables) and value</td>
                <td colspan="2">Health-related internet use</td>
                <td rowspan="2"><italic>P</italic> value</td>
              </tr>
              <tr valign="top">
                <td>Yes</td>
                <td>No</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="4">
                  <bold>Age (years; n=1173), n (%)</bold>
                </td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>43-65</td>
                <td>316 (26.9)</td>
                <td>79 (6.7)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>66-75</td>
                <td>340 (29.0)</td>
                <td>196 (16.7)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≥76</td>
                <td>108 (9.2)</td>
                <td>134 (11.4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Education (n=1169), n (%)</bold>
                </td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Primary/secondary </td>
                <td>176 (15.1)</td>
                <td>180 (15.4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>College or university</td>
                <td>587 (50.2)</td>
                <td>226 (19.3)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Income (n=1091), n (%)</bold>
                </td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>&#60;CAD 40,000</td>
                <td>136 (12.5)</td>
                <td>137 (12.6)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>CAD 40,001-CAD 80,000</td>
                <td>274 (25.1)</td>
                <td>145 (13.3)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≥CAD 80,001</td>
                <td>307 (28.1)</td>
                <td>92 (8.4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Area of residence (n=1174), n (%)</bold>
                </td>
                <td>.005</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Rural, town, or country</td>
                <td>252 (21.5)</td>
                <td>167 (14.2)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Urban or suburban</td>
                <td>516 (44.0)</td>
                <td>239 (20.4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Broadband use (n=1203), n (%)</bold>
                </td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yes</td>
                <td>478 (39.7)</td>
                <td>132 (11.0)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>No</td>
                <td>306 (25.4)</td>
                <td>287 (23.9)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Internet use frequency (n=1015), n (%)</bold>
                </td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Every day</td>
                <td>662 (65.2)</td>
                <td>197 (19.4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Not every day</td>
                <td>91 (9.0)</td>
                <td>65 (6.4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Number of devices (n=962), n (%)</bold>
                </td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Computer only</td>
                <td>284 (29.5)</td>
                <td>137 (14.2)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Computer+mobile device</td>
                <td>435 (45.2)</td>
                <td>106 (11.0)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Electronic health confidence (n=903), n (%)</bold>
                </td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Confident</td>
                <td>441 (48.8)</td>
                <td>58 (6.4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Not confident</td>
                <td>284 (31.5)</td>
                <td>120 (13.3)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Information seeking role (n=1150), n (%)</bold>
                </td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Active role</td>
                <td>697 (60.6)</td>
                <td>240 (20.9)</td>
                <td rowspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Passive role</td>
                <td>72 (6.3)</td>
                <td>141 (12.3)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Decision making role (n=1147), n (%)</bold>
                </td>
                <td>.003</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Active role</td>
                <td>700 (61.0)</td>
                <td>342 (29.8)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Passive role</td>
                <td>55 (4.8)</td>
                <td>50 (4.4)</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Total unmet needs (n=1203), mean (SD)</bold>
                </td>
                <td>4.62 (6.97)</td>
                <td>3.58 (6.12)</td>
                <td>.011</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Multivariable Logistic Regression</title>
        <p>All factors found to be significantly associated with health-related internet use in the univariable analyses were entered into the model. <xref ref-type="table" rid="table4">Table 4</xref> shows the results of the multivariable logistic regression analysis. Our results indicate that the odds of using the internet as a health resource were higher among respondents who were active information seekers (OR: 4.57, 95% CI 2.5-8.3), were confident using information from the internet to make health decisions (OR: 3.56, 95% CI 2.27-5.59), had broadband internet access (OR: 1.76, 95% CI 1.14-2.7), and had more unmet supportive care needs (OR: 1.05, 95%CI 1.02-1.09).</p>
        <table-wrap position="float" id="table4">
          <label>Table 4</label>
          <caption>
            <p>Main effects model resulting from multivariable logistic regression.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="470"/>
            <col width="90"/>
            <col width="120"/>
            <col width="70"/>
            <col width="90"/>
            <col width="80"/>
            <col width="80"/>
            <thead>
              <tr valign="top">
                <td rowspan="2">Variables</td>
                <td rowspan="2">Parameter estimate</td>
                <td rowspan="2">Standard error</td>
                <td rowspan="2"><italic>P</italic> value</td>
                <td rowspan="2">Odds ratio</td>
                <td colspan="2">95% CI for odds ratio</td>
              </tr>
              <tr valign="top">
                <td>Lower</td>
                <td>Upper</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Active information seekers</td>
                <td>1.51</td>
                <td>0.28</td>
                <td>0.000</td>
                <td>4.51</td>
                <td>2.60</td>
                <td>7.83</td>
              </tr>
              <tr valign="top">
                <td>Confidence in using internet information to help make health decisions</td>
                <td>1.29</td>
                <td>0.23</td>
                <td>0.000</td>
                <td>3.63</td>
                <td>2.32</td>
                <td>5.67</td>
              </tr>
              <tr valign="top">
                <td>Broadband internet access</td>
                <td>0.58</td>
                <td>0.22</td>
                <td>0.008</td>
                <td>1.78</td>
                <td>1.16</td>
                <td>2.74</td>
              </tr>
              <tr valign="top">
                <td>Total number of unmet supportive care needs</td>
                <td>0.05</td>
                <td>0.02</td>
                <td>0.004</td>
                <td>1.05</td>
                <td>1.02</td>
                <td>1.09</td>
              </tr>
              <tr valign="top">
                <td>Constant</td>
                <td>–0.86</td>
                <td>0.314</td>
                <td>0.006</td>
                <td>0.425</td>
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Most Commonly Used Websites</title>
        <p>A total of 22% of respondents (n=308) provided 359 valid responses to the open-ended question “Are there any specific Internet site(s) that you like to go to for information related to prostate cancer or its treatments? If Yes, please specify.” Responses that were not valid consisted of unspecified sites (eg, “health website”, search engines etc). As shown in <xref ref-type="table" rid="table5">Table 5</xref>, of the 10 categories of websites that were identified, the most commonly reported websites were national cancer agencies, government, or hospitals. The top three most commonly mentioned national cancer agencies or government websites were the Canadian Cancer Society (n=40), Prostate Cancer Canada (n=23), and the American Cancer Society (n=10). The top three most commonly reported hospital affiliated websites were Mayo Clinic (n=51) BC Cancer Agency (n=14) and Johns Hopkins (n=8). American hospital-affiliated websites accounted for over 50% of all responses in this latter category.</p>
        <table-wrap position="float" id="table5">
          <label>Table 5</label>
          <caption>
            <p>Types of websites most commonly used as a source of prostate cancer information.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="100"/>
            <col width="700"/>
            <col width="200"/>
            <thead>
              <tr valign="top">
                <td>Order</td>
                <td>Website type</td>
                <td>Count, n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>1</td>
                <td>National cancer agencies and government websites</td>
                <td>133 (37.0)</td>
              </tr>
              <tr valign="top">
                <td>2</td>
                <td>Hospital affiliated websites</td>
                <td>117 (32.5)</td>
              </tr>
              <tr valign="top">
                <td>3</td>
                <td>For-profit health information websites and news sites</td>
                <td>39 (10.9)</td>
              </tr>
              <tr valign="top">
                <td>4</td>
                <td>Websites with user-generated content (eg, Youtube, Wikipedia)</td>
                <td>15 (4.2)</td>
              </tr>
              <tr valign="top">
                <td>5</td>
                <td>Online support groups</td>
                <td>13 (3.6)</td>
              </tr>
              <tr valign="top">
                <td>6</td>
                <td>Professional medical association websites</td>
                <td>12 (3.3)</td>
              </tr>
              <tr valign="top">
                <td>7</td>
                <td>Alternative and complementary therapies</td>
                <td>12 (3.3)</td>
              </tr>
              <tr valign="top">
                <td>8</td>
                <td>Academic journals, bibliographic databases</td>
                <td>10 (2.8)</td>
              </tr>
              <tr valign="top">
                <td>9</td>
                <td>Personal websites</td>
                <td>5 (1.4)</td>
              </tr>
              <tr valign="top">
                <td>10</td>
                <td>Electronic health record websites</td>
                <td>3 (0.8)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Features and Information Wanted in a Website</title>
        <p>Respondents were also asked to indicate what features and information they would want in a website for men with prostate cancer and their families. As shown in <xref ref-type="table" rid="table6">Table 6</xref>, the top three features that over 50% of respondents wanted in such a website were a library of topics (n=893, 65.6%), tools to help select treatment options (n=815, 59.8%), and tools to help navigate the prostate cancer journey (n=698, 51.2%). As shown in <xref ref-type="table" rid="table7">Table 7</xref>, the information that ≥50% of respondents wanted in such a website included information on prostate cancer treatments (n=916, 65%), what is prostate cancer and its natural progression (n=904, 64%), how to manage side effects (n=858, 61%), personally relevant information (n=769, 55%), and latest research (n=746, 53%).</p>
        <table-wrap position="float" id="table6">
          <label>Table 6</label>
          <caption>
            <p>Features wanted in a website for men with prostate cancer and their families.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="100"/>
            <col width="700"/>
            <col width="200"/>
            <thead>
              <tr valign="top">
                <td>Order</td>
                <td>Feature</td>
                <td>Count, n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>1</td>
                <td>A library of topics</td>
                <td>893 (65.6)</td>
              </tr>
              <tr valign="top">
                <td>2</td>
                <td>Tools to help me select treatment options</td>
                <td>815 (59.8)</td>
              </tr>
              <tr valign="top">
                <td>3</td>
                <td>Tools to help me navigate the prostate cancer journey</td>
                <td>698 (51.2)</td>
              </tr>
              <tr valign="top">
                <td>4</td>
                <td>Links to trusted websites</td>
                <td>649 (47.7)</td>
              </tr>
              <tr valign="top">
                <td>5</td>
                <td>Tools to help me assess my health status (eg, symptom assessment)</td>
                <td>612 (44.9)</td>
              </tr>
              <tr valign="top">
                <td>6</td>
                <td>Tools to monitor/track changes in my health</td>
                <td>546 (40.1)</td>
              </tr>
              <tr valign="top">
                <td>7</td>
                <td>Tools to record my health information (eg, PSA<sup>a</sup>)</td>
                <td>490 (36.0)</td>
              </tr>
              <tr valign="top">
                <td>8</td>
                <td>Appointment reminders (eg, by email or text)</td>
                <td>408 (30.0)</td>
              </tr>
              <tr valign="top">
                <td>9</td>
                <td>Online forum to exchange info and support with other patients</td>
                <td>389 (28.6)</td>
              </tr>
              <tr valign="top">
                <td>10</td>
                <td>Show your future care plan (eg, survivorship care plan)</td>
                <td>362 (26.6)</td>
              </tr>
              <tr valign="top">
                <td>11</td>
                <td>Access to peer support groups</td>
                <td>321 (23.6)</td>
              </tr>
              <tr valign="top">
                <td>12</td>
                <td>Tools to manage appointments (eg, calendar)</td>
                <td>306 (22.5)</td>
              </tr>
              <tr valign="top">
                <td>13</td>
                <td>Tools to manage contacts</td>
                <td>256 (18.8)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table6fn1">
              <p><sup>a</sup>PSA: prostate-specific antigen.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap position="float" id="table7">
          <label>Table 7</label>
          <caption>
            <p>Information wanted in a website for men with prostate cancer and their families.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="100"/>
            <col width="700"/>
            <col width="200"/>
            <thead>
              <tr valign="top">
                <td>Order</td>
                <td>Feature</td>
                <td>Count, n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>1</td>
                <td>What prostate cancer treatments are available</td>
                <td>916 (67.3)</td>
              </tr>
              <tr valign="top">
                <td>2</td>
                <td>What is prostate cancer and its natural progression</td>
                <td>904 (66.4)</td>
              </tr>
              <tr valign="top">
                <td>3</td>
                <td>How to manage side effects</td>
                <td>858 (63.0)</td>
              </tr>
              <tr valign="top">
                <td>4</td>
                <td>Information recommended based on my personal situation</td>
                <td>769 (56.5)</td>
              </tr>
              <tr valign="top">
                <td>5</td>
                <td>Latest research</td>
                <td>746 (54.8)</td>
              </tr>
              <tr valign="top">
                <td>6</td>
                <td>My chances of survival and/or cure</td>
                <td>697 (51.2)</td>
              </tr>
              <tr valign="top">
                <td>7</td>
                <td>Explanations of what my doctors told me</td>
                <td>627 (46.0)</td>
              </tr>
              <tr valign="top">
                <td>8</td>
                <td>How to obtain a second opinion</td>
                <td>623 (45.7)</td>
              </tr>
              <tr valign="top">
                <td>9</td>
                <td>Alternative and complementary therapies</td>
                <td>580 (42.6)</td>
              </tr>
              <tr valign="top">
                <td>10</td>
                <td>Wellness programs (eg, exercise, nutrition)</td>
                <td>578 (42.4)</td>
              </tr>
              <tr valign="top">
                <td>11</td>
                <td>Information and access to clinical trials</td>
                <td>523 (38.4)</td>
              </tr>
              <tr valign="top">
                <td>12</td>
                <td>Information to help my family deal with the prostate cancer</td>
                <td>468 (34.4)</td>
              </tr>
              <tr valign="top">
                <td>13</td>
                <td>Emotional support for dealing with prostate cancer</td>
                <td>407 (29.9)</td>
              </tr>
              <tr valign="top">
                <td>14</td>
                <td>Community support services in my area</td>
                <td>361 (26.5)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>This study examined the patterns of, and factors associated with, the use of the internet as a source of health information among Canadian men with prostate cancer, and the features and information wanted in a website. A total of 82% of respondents in this sample were internet users. The prevalence of internet use in this sample is consistent with the 2016 internet use rates among Canadians within this age group, which showed that 81% of people aged 65-74 were internet users [<xref ref-type="bibr" rid="ref12">12</xref>]. Although the majority of the respondents in our sample used the internet, less than half (47%) accessed the internet through broadband and less than 30% accessed the internet with a mobile device, with the most using desktop computers to access the internet. These access patterns are also consistent with current broadband and mobile phone usage rates among Canadian seniors, which are still considerably lower than those in younger age groups [<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref25">25</xref>].</p>
        <p>Our findings suggest that sociodemographic factors, namely age, education, and income, may not play a significant role in determining health-related internet use among prostate cancer survivors in Canada when other factors are considered. Similarly, a previous analysis [<xref ref-type="bibr" rid="ref15">15</xref>] of the US National Health Information Trends Survey from 2003 to 2008 showed no statistically significant differences in age, education, or racial/ethnic aspects in health-related internet use patterns among cancer survivors, with the exception of emailing providers [<xref ref-type="bibr" rid="ref15">15</xref>]. Survivors who were younger and had higher education were more likely to email their providers. Likewise, another analysis [<xref ref-type="bibr" rid="ref11">11</xref>] of the 2000 Canadian National household internet survey found no association between health-related internet use and age, education, or income. Other studies suggest that there is still a gap in health-related internet use based on age and socioeconomic factors in North America [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref17">17</xref>]. However, these studies focused their analyses on internet users [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref17">17</xref>]. Chou et al [<xref ref-type="bibr" rid="ref15">15</xref>] reported an independent association with educational attainment in their sample of cancer survivors. Similarly, our univariable analysis showed that age, education, and income were associated with health-related internet use among our sample of prostate cancer survivors.</p>
        <p>However, our findings suggest that there is a gap in health-related internet use among prostate cancer survivors in Canada based on broadband access, which may reflect rurality [<xref ref-type="bibr" rid="ref26">26</xref>]. Previous research has shown that urban Canadians are 1.5 times more likely to use the internet than rural Canadians [<xref ref-type="bibr" rid="ref26">26</xref>]. In our model, respondents who had broadband access were 2.74 times more likely to use the internet as a health resource than those who did not. Broadband, as opposed to traditional dial-up, provides improved internet services, including faster browsing and downloading as well as telephone, radio, and videoconferencing. Not having access to broadband considerably limits one’s quality of internet and access to essential services. In 2000, Johnson et al [<xref ref-type="bibr" rid="ref11">11</xref>] did not find an association between high-speed internet and health-related internet use in the Canadian national household internet survey. However, longer duration of internet use was associated with decreased likelihood of using the internet as a health resource [<xref ref-type="bibr" rid="ref11">11</xref>]. Residential broadband was launched in Canada in 1998; hence, most Canadians would have been using dial up then, which would have been costly and unstable over longer periods of use [<xref ref-type="bibr" rid="ref27">27</xref>]. In a 2015 qualitative study, patients with prostate cancer living in remote areas of British Columbia explained that they did not like to use the internet as a health resource because it was not reliable [<xref ref-type="bibr" rid="ref28">28</xref>]. In 2016, Canada’s telecom agency declared broadband a basic service [<xref ref-type="bibr" rid="ref29">29</xref>], along with a commitment to increase targets for download and upload speeds and extend access to regions without access. Our findings provide further evidence in favor of universal broadband internet access. Future research should investigate the impact of this policy.</p>
        <p>In our model, the factor associated with the highest odds of using the internet as a health resource was being an active information seeker. Respondents who were information seekers were 4.6 times more likely to use the internet as a health resource than passive information seekers. A 2018 systematic review [<xref ref-type="bibr" rid="ref30">30</xref>] of men’s health-seeking behavior that largely focused on prostate cancer found that the internet was the primary source of information for active information seekers. We assessed active information seeking by asking respondents to indicate who looked for information about prostate cancer and its treatment for them. The options included (1) “I did not want any information,” (2) “someone else did most or all of the looking,” (3) “I did some of the looking and someone else did some of it for me,” and (4) “I did most or all of the looking myself.” We dichotomized the responses to create a binary variable by combining (1) and (2) to reflect passive information seekers and (3) and (4) to reflect active information seekers. This variable reflects the difference between two coping styles categorized by Miller as “Monitors” and “Blunters” [<xref ref-type="bibr" rid="ref31">31</xref>]. Monitors focus on acquiring information to help them problem solve and reduce uncertainty and are less satisfied with the information they receive from health care providers [<xref ref-type="bibr" rid="ref31">31</xref>]. Blunters use distraction to avoid threatening information and are typically satisfied with the amount of information they receive from their health care providers [<xref ref-type="bibr" rid="ref31">31</xref>]. Research suggests that psychoeducational interventions for cancer patients are most effective when the level and type of information are consistent with the individual's monitoring style and the demands of the health threat [<xref ref-type="bibr" rid="ref32">32</xref>].</p>
        <p>The factor next most strongly correlated with health-related internet use was eHealth confidence. Respondents who were confident using information from the internet to help make health decisions related to their prostate cancer were used 3.6 times more likely to use the internet as a health resource. eHealth confidence was measured using the final item of the eHEALS eHealth literacy measure [<xref ref-type="bibr" rid="ref20">20</xref>]. eHealth literacy is defined as the ability to seek, find, understand, and appraise health information from electronic sources and apply that knowledge to solve a health problem or make a health-related decision [<xref ref-type="bibr" rid="ref20">20</xref>]. The final item of the eHEALs scale is intended to capture one’s confidence in using information from the internet to help make health decisions. The level of agreement with this item in this sample (40.2%) is similar to that reported in a sample of older adult internet users in the United States (43.1%) [<xref ref-type="bibr" rid="ref16">16</xref>]. Other studies have found an association between eHealth literacy, confidence, and health-related internet use. In 2003, Mead et al [<xref ref-type="bibr" rid="ref33">33</xref>] found that positive outcome expectancy (eg, patients’ belief that it would enable them to better deal with their health), previous use of health websites, and positive self-efficacy (patients’ confidence in their ability to use the technology) were the strongest predictors of patient-reported interest in getting health information from the internet in the United Kingdom [<xref ref-type="bibr" rid="ref33">33</xref>]. Ten years later, Tennant et al [<xref ref-type="bibr" rid="ref16">16</xref>] reported that greater eHealth literacy was associated with greater use of Web 2.0 and social media for health information among a sample of Americans.</p>
        <p>As shown in other studies of cancer patients’ use of online resources [<xref ref-type="bibr" rid="ref34">34</xref>], unmet supportive care needs were also associated with health-related internet use. For each unit increase in unmet supportive care needs, the odds ratio of using the internet as a health resource increased by a factor of 1.05. This may suggest that use of the internet by patients with prostate cancer is problem focused, driven by a need to find information to address a specific issue or problem. This finding has important implications for the design and evaluation of health information websites, as it suggests that websites should be designed to address the specific supportive care needs of patients. Respondents in our sample indicated that they want prostate cancer websites to include information on treatment options and side effects and how to manage them, as well as features that help them make treatment decisions and navigate the prostate cancer journey. This type of task-oriented internet use that is motivated by specific needs also suggests that once prostate cancer patients’ needs are met by a Web resource, they may be unlikely to keep using it, unless a new need arises. Therefore, discontinued use of a Web resource may not necessarily be a failing of the site’s design but rather a potential logical reaction to changing needs and circumstances [<xref ref-type="bibr" rid="ref35">35</xref>]. Hence, website evaluation metrics should focus on assessing whether users’ specific needs have been met.</p>
        <p>Problematically, our findings revealed that the majority of prostate cancer patients’ in our sample lacked confidence in using information from the internet to make health decisions related to their prostate cancer. Research suggests that seniors have lower eHealth literacy than their younger counterparts [<xref ref-type="bibr" rid="ref36">36</xref>]. One study found that seniors felt confident in their ability to use the internet to search for health information, but less confident in their ability to assess the quality of that information [<xref ref-type="bibr" rid="ref16">16</xref>]. eHealth literacy interventions may help. An intervention study by Xie [<xref ref-type="bibr" rid="ref37">37</xref>] showed that a 2-week eHealth literacy training program increased seniors knowledge, skills, and eHealth literacy efficacy [<xref ref-type="bibr" rid="ref37">37</xref>]. At the same time, there is a need to improve the quality of prostate cancer websites. When systematically reviewed by Black and Penson in 2006 [<xref ref-type="bibr" rid="ref38">38</xref>] and again by Kobes et al in 2018 [<xref ref-type="bibr" rid="ref39">39</xref>], websites containing information on prostate cancer were found to be lacking in currency, attribution, balance of evidence, and comprehensiveness. In another study, only 3 of 62 websites containing information on prostate cancer treatment options were written below the recommended high school reading level [<xref ref-type="bibr" rid="ref40">40</xref>]. In yet another study, Genova and Bender [<xref ref-type="bibr" rid="ref41">41</xref>] found that websites containing information on prostate cancer treatment did not present information in a useful or credible way for patients. Of the 35 websites examined, the average communication quality score was 24 of 50, and less than 50% included content on risk communication, usefulness, and scientific value.</p>
        <p>This study has certain limitations. First, as this study was cross-sectional, only association and not causation can be inferred. We aimed to obtain a representative sample of prostate cancer survivors in Canada by recruiting a random sample of patients with prostate cancer from four provincial cancer registries. It is possible that the individuals who chose not to participate in the survey had different characteristics, experiences, and attitudes regarding using the internet as a health resource. It is also possible that patterns of internet use among prostate cancer survivors have increased since then. Nonetheless, our findings are comparable to other studies involving patients with prostate cancer and current Canadian population norms. Our study was also limited by the use of the opt-in methodology used by one provincial cancer registry, which reduced the overall response rate. We encourage researchers to argue in favor of opt-out recruitment methods for future research. We also assessed only one parameter of the validity of the eHealth confidence measure. Further work is needed to establish the validity of this single item as a measure of eHealth confidence. Lastly, we did not ask for respondents’ views on patient portals or personal health records, which are growing in demand. Future research should also explore the internet use trends among French-speaking Canadian patients with prostate cancer and those from diverse ethnic backgrounds.</p>
      </sec>
      <sec>
        <title>Conclusion and Implications</title>
        <p>The internet has the potential to serve as a health information resource for the majority of Canadian men with prostate cancer. In our sample, over two-thirds of patients with prostate cancer used the internet as a health resource. However, one-third of patients with prostate cancer in our sample did not want to use the internet as a health resource, and more than half were not confident in using the internet to make health decisions. Clinicians and educators should not assume that because of their age, education, or income, men with prostate cancer are not interested in using the internet as a health resource. Rather, they should be aware of the importance of being an active information seeker, having confidence in using information from the internet to make health decisions, and having broadband access and unmet supportive care needs as determinants of health-related internet use. These findings also show that men are looking for information on the internet about treatment options, disease progression, and management of side effects, and want websites to include features that help them make treatment decisions and navigate the prostate cancer journey. Future work should examine eHealth literacy interventions as a means to boost men’s confidence in using information from the internet for prostate cancer decision making and design websites that include the information and features that patients with prostate cancer want most.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group/>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">eHEALS</term>
          <def>
            <p>eHealth Literacy Scale</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">HINTs</term>
          <def>
            <p>US Health Information National Trends survey</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">OR</term>
          <def>
            <p>odds ratio</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">STROBE</term>
          <def>
            <p>Strengthening the Reporting of Observational Studies in Epidemiology</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>This work was awarded by Prostate Cancer Canada and is proudly funded by the Movember Foundation.</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="web">
          <source>International Agency for Research on Cancer</source>
          <year>2018</year>
          <access-date>2019-08-12</access-date>
          <publisher-loc>Lyon, France</publisher-loc>
          <publisher-name>International Agency for Research on Cancer</publisher-name>
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