Published on 15.10.12 in Vol 14, No 5 (2012): Sep-Oct
Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/2133, first published Apr 12, 2012.
Use and Acceptance of Electronic Communication by Patients With Multiple Sclerosis: A Multicenter Questionnaire Study
Background: The number of multiple sclerosis (MS) information websites, online communities, and Web-based health education programs has been increasing. However, MS patients’ willingness to use new ways of communication, such as websites, mobile phone application, short message service, or email with their physician, remains unknown.
Objectives: We designed a questionnaire to evaluate the a priori use of electronic communication methods by MS patients and to assess their acceptance of such tools for communication with their health care providers.
Methods: We received complete data from 586 MS patients aged between 17 and 73 years. Respondents were surveyed in outpatient clinics across Germany using a novel paper-and-pencil questionnaire. In addition to demographics, the survey items queried frequency of use of, familiarity with, and comfort with using computers, websites, email, and mobile phones.
Results: About 90% of all MS patients used a personal computer (534/586) and the Internet (527/586) at least once a week, 87.0% (510/586) communicated by email, and 85.6% (488/570) communicated by mobile phone. When asked about their comfort with using electronic communication methods for communication with health care providers, 20.5% (120/586) accepted communication by mobile Internet application or short message service via mobile phone, 41.0% (240/586) by websites, 54.3% (318/586) by email service, and 67.8% (397/586) by at least one type of electronic communication. The level of a priori use was the best predictor for the acceptance of electronic communication with health care providers. Patients who reported already searching online for health information (odds ratio 2.4, P < .001) and who had already communicated with a physician through a website (odds ratio 3.3, P = .03) reported higher acceptance for Web-based communication. Patients who already scheduled appointments with their mobile phones (odds ratio 2.1, P = .002) were more likely to accept the use of mobile phone applications or short message service for communicating with their physician.
Conclusions: The majority of MS patients seen at specialist centers already use modern communication technology regularly. New forms of electronic communication appear to have high levels of acceptance for exchanging information about MS between patients and health care providers. Such methods should be integrated into eHealth services such as electronic health records and patient relationship management systems.
J Med Internet Res 2012;14(5):e135
- Multiple sclerosis;
- mobile phone;
- health information seeking;
- disease management;
- communications media;
- health information technology
The way people retrieve health information has changed due to an enormous proliferation of new media technologies and a tremendous growth in health information being available online [- ]. The Pew Internet & American Life Project subsequently found that 56% to 64% of Americans used online sources of health information [ ]. In 2003, 23% of Germans searched online for health-related topics sometimes or often [ ]. This trend may be increasing, as studies reported an increase from 44% to 57% in use of the Internet for health purposes in Germany between 2005 and 2007, with the highest use among young women and city dwellers [ , - ]. Due to the high incidence of multiple sclerosis (MS) in young women (about 70%) showing their first symptoms between the ages of 20 and 40 years, MS patients may be early adopters of emerging eHealth trends [ - ]. To date, research has primarily focused on what the Internet offers to MS patients and how existing health information resources are being accessed. However, studies examining the acceptability of new media such as websites or mobile phone applications for communication with health care providers by MS patients are lacking.
Two studies investigating online information sources about MS in English and German reported variable quality [, ]. In addition to accessing traditional static information websites, patients can also generate and share their health information with peers and participate in electronic health records for the self-management of disease, with mainly positive results [ , - ]. Such online communities can also support research, such as the development of a self-report questionnaire to quantify MS patients’ adherence to treatment [ ]. Other studies reported the benefits of testing cognitive functions of MS patients online, including better availability and accessibility than with traditional methods [ - ].
Research suggests that MS patients retrieve information about their disease and their physicians online before and after their medical visit, especially before the initial consultation due to potentially high information needs in the early course of the disease [, , ]. This may influence patients’ adherence to treatment and their coping styles, and may lead to greater patient empowerment [ , , - ], thereby altering the physician-patient relationship [ , , ]. The observed benefits of new media may have raised the acceptance of eHealth in medicine, but concerns remain such as the digital divide (inequality of access to new communication technologies) and concerns about the security and confidentiality of sharing health data online.
To determine the needs of and future options for patient education and patient–physician communication via new media, we sought to examine the current use of new types of communication (eg, mobile phone applications) and willingness to use these for medical management among MS patients. We hypothesized that patients who were already familiar with electronic communication devices would be more likely to adopt them for communication with health care providers and that the majority of MS patients would already be using an array of electronic communication devices.
The present study was a multicenter survey conducted in the Multiple Sclerosis Center Dresden (Dresden, Germany), the Multiple Sclerosis Center Stuttgart (Stuttgart, Germany), and several neurological outpatient centers of NeuroTransData GmbH (Neuburg, Germany) between 2009 and 2010. Patients with clinically definite MS according to the McDonald criteria were asked to attend the survey in each participating center over a period of 2 weeks . We targeted recruitment for a minimum of 500 fully completed questionnaires. Overall, 591 of 650 (90.9%) ambulatory MS patients who were asked to participate enrolled in the study. They were surveyed by the final version of the paper-based, self-developed questionnaire during outpatient clinic visits. Prior to study entry, each patient provided a written informed consent and was free to withdraw from the survey at any time for any reason without consequences on the care provided. Because this study involved minimal risk and no personally identifiable information, ethics committee approval was not required.
The 18 items in the questionnaire were developed by a scientific advisory board consisting of physicians, psychologists, and computer scientists. The questionnaire surveyed the frequency and nature of personal computer, website, email, and mobile phone use by MS patients, as well as demographic characteristics. Specifically, the questionnaire included 4 demographic items about age, sex, time since MS onset (in years), and residential area (by postal code) (items 1–4), 5 items about computer use (items 5–9), 5 items about Internet use (items 10–14), and 3 items about mobile phone use (items 15–17). We added 1 item about the respondent’s general attitude toward using new media for communication with health care providers (item 18) (see).
Patients were assigned to the rural area group (population of place of residence <100,000) or to the city group (population of place of residence ≥100,000) based on postal code (questionnaire item 3) [, ]. We determined disease duration (in years) by calculating the difference between MS diagnosis (questionnaire item 4) and the year of study entry. Use of each medium at least once a week indicated a sufficient frequency for future communication with health care providers. New media acceptance was reported for patients accepting at least one of three types of new media (website, email, and mobile Internet application or short message service) for communication with health care providers. To analyze the influence of age on the a priori use of each medium, we grouped respondents by a median split (younger half: 17-40 years, n = 283; older half: 41-73 years, n = 298).
All statistical comparisons were 2-tailed, and a P value of <.05 indicated statistical significance. We used IBM SPSS version 19.0 (IBM Corporation, Somers, NY, USA) for all statistical computations. Acceptance was evaluated by a logistic regression model for each new media type (website, email, mobile Internet application or short message service) using demographic variables and items of specific media type and reporting goodness of fit (Hosmer-Lemeshow test; chi-square) and effect size (odds ratio). Differences in categorical variables were assessed with a chi-square test for between-participants effects and with McNemar test for matched pairs.
Characteristics of the Survey Population
In the statistical analysis, we included 586 of 591 MS patients who submitted answers to the last survey question (questionnaire item 18). The majority of study patients were female (408/586, 69.6%) with a mean age of 40.93 (SD 10.84) years (5 missing answers), comparing well with typical population statistics of patients with MD . A total of 6 in 10 patients (336/586, 57.3%) lived in a city area with a population of 100,000 people or more. The disease duration averaged 8.60 (SD 6.52) years since onset (7 missing answers). In all analyses, we observed no impact of residential area (rural area, town, or city) on any item response. Furthermore, patients did not differ between states of the former German Democratic Republic (Saxony) and the Federal Republic of Germany (Baden-Württemberg).
The vast majority of MS patients (558/586, 95.2%) had access to a computer and 75.4% (442/586) of them personally owned one (); 70.8% (415/586) used it daily and 91.1% (534/586) used it at least weekly. Men reported higher rates of general use (P < .001), computer ownership (men: 151/178, 84.8%; women: 291/408, 71.3%; P < .001), and experience in the installation of new software (men: 144/178, 80.9%; women: 231/408, 56.6%; P < .001). Nevertheless, computer use was widespread among women. Most patients (509/586, 86.9%) reported acquainting themselves quickly with new software. Younger MS patients tended toward a greater (P < .001) and more diversified use of computers (emailing: P = .003; browsing the Internet: P = .007; chatting: P < .001; having already installed new computer programs: P < .001; and becoming quickly acquainted with new computer programs: P < .001). In all subgroups of MS patients, about 40% (62/178, 34.8%, to 170/408, 41.7%) reported using a computer to retrieve information about their disease. All results are summarized in .
|Frequency of computer use|
|Several times a day||46.6||273|
|Several times a week||15.0||88|
|Once a week||5.3||31|
|Rarely or never||8.9||52|
|Computer ownership or shared access||95.2||558|
|Own a computer||75.4||442|
|Type of regular computer use|
|Browsing the Internet||81.9||480|
|Getting information about MS||39.6||232|
|Quick familiarization with a new computer program|
|Definitely applies to me||29.0||170|
|Mostly applies to me||33.6||197|
|Slightly applies to me||24.2||142|
|Does not apply to me||13.1||77|
|Installation of computer programs||64.4||375|
About 94% of MS patients (551/586) reported they had Internet access (). Men browsed websites more frequently (P = .009), whereas the number of male and female nonusers was similar. The pattern was the same in the case of reading emails (P = .002) and sending emails (P = .03). Young MS patients more frequently than older patients performed tasks such as browsing (P < .001), chatting (P < .001), and emailing (reading: P = .02; sending: P = .004). MS-related information seeking was reported by between 35.2% (105/298) and 38.9% (110/283) among all subgroups of MS patients. A small number of patients had already communicated with their physician (22/586, 3.8%) or with other patients (29/586, 5.0%) via the Internet ( ).
|Frequency of browsing websites on the Internet|
|Several times a day||34.6||203|
|Once a day||25.9||152|
|Several times a week||23.2||136|
|Once a week||6.1||36|
|Rarely or never||10.1||59|
|Internet access at home|
|Access type unknown||4.3||25|
|Type of regular Internet use|
|Getting information about MS||37.2||218|
|Communicating with other MS patients||5.0||29|
|Communicating with physician||3.8||22|
|Frequency of sending emails|
|Several times a day||31.1||182|
|Once a day||15.4||90|
|Several times a week||23.0||135|
|Once a week||11.6||68|
|Rarely or never||18.9||111|
|Frequency of reading emails|
|Several times a day||37.2||218|
|Once a day||23.2||136|
|Several times a week||17.4||102|
|Once a week||9.2||54|
|Rarely or never||13.0||76|
Mobile Phone Use
Nearly all MS patients possessed a mobile phone (553/576, 96.0%) but older patients used it less frequently (P < .001) and less extensively (calling: P = .002; text messaging: P < .001; browsing websites: P < .001; reading or sending emails: P = .001; and scheduling: P < .001) (). Women showed a greater tendency for text messaging (P < .001) but men were more likely to operate smartphone abilities such as browsing websites via mobile Internet (P = .01) or scheduling appointments (P = .03).
Acceptance of Electronic Communication With Health Care Providers
When asked about the acceptability of using various modes of communication, including electronic communication devices, for receiving information and guidance from their physician for managing their MS, 20.5% (120/586) of MS patients accepted communication by mobile phone Internet application or short message service, 41.0% (240/586) by website, 54.3% (318/586) by email, and 67.8% (397/586) by at least one of these modes of communication (). The majority of patients (539/586, 92.0%) found existing traditional methods acceptable. Acceptance of email services for this purpose exceeded the acceptance of telephone conversations (263/586, 44.9%; P = .007). Women were more likely to accept communication by telephone (P = .01).
We included media-specific items and demographic variables in all cross-sectional logistic regression models resulting in admissible model fits (Hosmer-Lemeshow test for email: χ28 = 7.0, P = .54; for websites: χ28 = 6.7, P = . 58; and for mobile phone features: χ28 = 9.2, P = .32). Neither sex nor age had an impact on the acceptance of any type of electronic communications media. We eliminated duration of disease from the analyses to avoid multicollinearity, since it was highly correlated with age.
In general, patients with regular a priori use of new electronic media were more likely to accept this form of communication with health care providers (). More specifically, reading emails at least once a week, browsing Internet websites at least several times a week, and using a mobile phone daily raised the level of acceptance significantly.
Furthermore, online health information seekers (odds ratio 2.4) and patients having already communicated with their physician through a website (odds ratio 3.3) showed a greater interest in website-based communication (). Scheduling appointments on a mobile phone (odds ratio 2.1) was the only specific task that raised the likelihood of accepting mobile phone features for communication with health care providers.
|Mobile phone use||%||n|
|Mobile phone ownership||96.0||553|
|Missing answers (item 15)||10|
|Frequency of mobile phone use|
|Several times a day||38.0||219|
|Once a day||17.5||101|
|Several times a week||21.5||124|
|Once a week||7.6||44|
|Rarely or never||14.2||82|
|Missing answers (item 16)||16|
|Type of regular mobile phone use|
|Audio or video messaging||5.2||30|
|Reading or sending emails||4.9||28|
|Missing answers (item 17)||16|
a For all data percentages were based on valid answers.
|Type of communication||%||n|
|By physician (in-person)||92.0||539|
|By email or mobile phone or website||67.8||397|
|By telephone call||44.9||263|
|Via mobile Internet application or short message service||20.5||120|
|Characteristics||Odds ratio|| 95% confidence |
|Acceptance of emails (n = 581)|
|Reading emails several times a day||16.3||4.8–55.1||<.001|
|Reading emails daily||13.1||4.2–41.0||<.001|
|Reading emails several times a week||13.3||4.2–41.8||<.001|
|Reading emails once a week||7.0||2.4–20.3||<.001|
|Reading emails rarely or never||1 (reference)|
|Sending emails several times a day||1.0||0.4–2.6||.97|
|Sending emails daily||1.4||0.6–3.7||.45|
|Sending emails several times a week||1.4||0.6–3.3||.43|
|Sending emails once a week||0.8||0.4–1.8||.53|
|Sending emails rarely or never||1 (reference)|
|Acceptance of Internet websites (n = 581)|
|Browsing websites several times a day||5.3||1.8–15.8||.003|
|Browsing websites daily||5.2||1.8–15.4||.003|
|Browsing websites several times a week||5.7||1.9–16.8||.002|
|Browsing websites once a week||3.1||0.9–10.7||.07|
|Browsing websites rarely or never||1 (reference)|
|Using the Internet for browsing||1.3||0.7–2.3||.45|
|Using the Internet for chatting||1.4||0.8–2.7||.30|
|Using the Internet for video chatting||1.5||0.9–2.7||.13|
|Using the Internet for information about MS||2.4||1.7–3.5||<.001|
|Using the Internet for communication with physicians||3.3||1.1–10.1||.03|
|Using the Internet for communication with other MS patients||1.9||0.8–4.5||.15|
|Acceptance of mobile Internet applications or short message service (n = 565)|
|Using a mobile phone several times a day||9.3||2.0–41.7||.004|
|Using a mobile phone daily||5.9||1.3–27.3||.02|
|Using a mobile phone several times a week||2.9||0.6–13.7||.17|
|Using a mobile phone once a week||1.3||0.2–9.6||.81|
|Using a mobile phone rarely or never||1 (reference)|
|Using a mobile phone for calling||6.9||0.9–52.4||.06|
|Using a mobile phone for text messaging||1.3||0.8–2.3||.32|
|Using a mobile phone for audio or video messaging||1.4||0.6–3.2||.45|
|Using a mobile phone for browsing websites||1.3||0.4–4.2||.62|
|Using a mobile phone for sending and reading emails||0.5||0.2–1.5||.22|
|Using a mobile phone for scheduling||2.1||1.3–3.6||.002|
a P < .05 was considered significant.
In this survey, we analyzed the a priori use of computers, the Internet, emails, and mobile phones by patients with MS, as well as their willingness to adopt them for communication with health care providers. Our results indicate that the use of new communication technologies (computers, websites, emails, and mobile phones) by MS patients is already widespread. In addition, the majority of patients reported relevant information and communication technology skills such as installing software. Sharing information and receiving guidance in MS management via email and via website was well accepted among MS patients, with lower levels of acceptability for communication via mobile phone features (mobile Internet applications or short message service). A priori use was the most important predictor of accepting new media for communication with health care providers. Although differences in the a priori use of electronic communication devices between men and women and between younger and older patients were significant, neither sex nor age had an impact on the acceptance of these tools for communicating with health care providers.
Communication Technology Use by MS Patients
The vast majority of MS patients had access to a computer or owned one themselves. They were regularly visiting websites, and reading and writing emails, and possessed a mobile phone, consistent with results of smaller MS-focused studies [, ]. The number of Internet users was slightly higher than in more general reports from the Pew Internet & American Life Project [ ] but corresponded to the number from Lejbkowicz et al [ ]. In agreement with Green et al [ ], our study found less-intensive and less-diversified use of computers and Internet services among older people. Our results indicated that women used computers, the Internet, and email services less often, but the prevalence of female nonusers was similar to that of male nonusers. Similarly, Kummervold et al [ ] reported an increasing use of the Internet by females in Europe between 2005 and 2007. Mobile phones were the most commonly used devices. As anticipated, young male patients were more likely to use smartphone abilities such as mobile Internet or appointment scheduling.
In our study, 4 in 10 MS patients were already using the Internet regularly for health information seeking and other disease-related tasks. In comparison, 56% to 61% of Americans searched online for health information [, ]. However, differences between study findings in the use of eHealth services by chronically ill patients may be due to how the studies define media use as described by Wagner et al [ ], indicating that 11% accessed health information services at least monthly but 45.9% had ever used them in the previous year [ ]. Several European studies noted an increasing rate of Internet use for health purposes, with the highest increase being in Germany (from 44.4% in 2005 to 56.6% in 2007) [ , , ]. In contrast to Santana et al [ ], we did not find any differences in the use of new media with respect to place of residence.
In contrast to Hay et al , who reported that 82% of MS patients retrieved medical information online before the first visit, our rates were lower. Lejbkowicz et al [ ] observed that 63% of MS patients used the Internet for MS-related tasks, but they did not state how they obtained that information. Nonetheless, only a minority of MS patients used the opportunity to correspond with their physician or other patients via the Internet. Although other studies reported similar results, evidence for increasing interest in online health care services is growing [ , , , , ].
Acceptance of Electronic Communication with Health Care Providers
In addition to the a priori use of electronic communication devices, we investigated the a priori attitude toward adopting these services for aiding in MS disease management. Most participants accepted more than one type of new media for communication with health care providers. Communication via email and website was considered as acceptable as conventional telephone calls. A notable proportion of patients perceived the integration of mobile phones and mobile Internet to aid their therapy as useful. Two-thirds of MS patients were willing to use at least one new media service for communication with health care providers. The main factor in accepting a service was a priori use. Patients who read emails at least once a week, browsed websites several times a week, and used a mobile phone daily were more likely to approve a type of communication. Likewise, current users of electronic communication devices for health care management showed a greater interest in Web-based communication.
Several studies support the open-mindedness of patients toward using email communication in disease management. Hassol et al  reported that patients who used electronic health records generally preferred emails to telephone calls. In a study focusing on older patients, Singh et al [ ] found that 49.3% of them could imagine using emails for communication with their physician. In agreement with our findings, a priori use of email services was the best predictor for acceptance of email communication with health care providers [ ]. Santana et al [ ] reported that about 18% of Europeans usually contact their physician via Internet and 25% would like to make their appointments online. Moreover, 4 out of 10 people in Europe would select their physician with regard to eHealth services provided [ ]. Similarly, 49% of Israeli MS patients welcomed the opportunity to communicate with their medical team online [ ].
Some limitations of our survey warrant consideration. Participation in the survey was nonrestricted and hence may have introduced selection bias by motivation or interest. However, this was minimized by the large number of participants. Moreover, relevant demographic data, such as income or ethnicity, that other studies had used were lacking in our survey. Therefore, we were unable to test assumptions about potential obstacles posed by new media such as the digital divide. As income is a sensitive issue, participants may not have been willing to specify their personal particulars. We conducted our survey using paper-and-pencil questionnaires to avoid selection bias. Differences in the methods of similar studies in defining and assessing media use are important when attempting to compare studies on the use of health care information and communication technology. The questionnaire provided only a single item for the acceptability of new communication methods with health care providers, which may have been insufficient to obtain nuance and detail about the patients’ true attitudes. We surveyed attitudes toward electronic communication devices but lacked data on actual behavior or objective use.
In our survey, we obtained data on the a priori use of new media by chronically ill patients with MS, as well as their attitudes toward future use of new media for communication with health care providers and differentiating between common communication types.
To summarize, our results indicate that the majority of MS patients are willing to use new media for further eHealth implementations. Although the potential benefits (and risks) of using electronic communication devices in MS health care services remain to be established, our data suggest these tools can be integrated with electronic health records and patient relationship management systems in order to increase the range of potential users and capabilities.
We agree with Nijland et al  that delivering high-quality health care to patients in as many suitable ways as possible should make a significant impact on the design of eHealth applications. eHealth services such as patient relationship management systems and electronic health records that focus on only a single communication type will miss the chance to maximize their effectiveness for use in the health care process. According to our findings, there are two gaps. First, although 40% to 50% of patients would like to use eHealth services to aid their therapy, only 5% of patients currently use them. Second, 90% of patients are technically skilled enough to use information and communication technology but only 50% are willing to use health information and communication technology. To overcome these obstacles, the design and implementation of eHealth applications in the health care process have to be tailored to patients’ individual needs. Further research should focus on educational content as well as on technical options to deliver the content to those who would benefit from it.
Anonymous data collection from MS patients was supported by Merck Serono, Germany, which provided financial compensation for Dr Gottwald, Stuttgart, and NeuroTransData GmbH, Neuburg.
Conflicts of Interest
Multimedia Appendix 1
English version of the new media questionnaire.PDF File (Adobe PDF File), 51KB
Multimedia Appendix 2
Results of the survey on the use and acceptance of electronic communication by patients with multiple sclerosis.PDF File (Adobe PDF File), 75KB
Multimedia Appendix 3
English version of the new media questionnaire.PDF File (Adobe PDF File), 9KB
- Eysenbach G, Kohler C. What is the prevalence of health-related searches on the World Wide Web? Qualitative and quantitative analysis of search engine queries on the internet. AMIA Annu Symp Proc 2003:225-229. [Medline]
- Baker L, Wagner TH, Singer S, Bundorf MK. Use of the Internet and e-mail for health care information: results from a national survey. JAMA 2003 May 14;289(18):2400-2406. [CrossRef] [Medline]
- Ybarra ML, Suman M. Help seeking behavior and the Internet: a national survey. Int J Med Inform 2006 Jan;75(1):29-41. [CrossRef] [Medline]
- Fox S, Jones S. The social life of health information. Washington, DC: Pew Internet & American Life Project; 2009 Jun. URL: http://www.pewinternet.org/~/media//Files/Reports/2009/PIP_Health_2009.pdf [accessed 2012-04-11] [WebCite Cache]
- Gesundheitsberichterstattung des Bundes. Berlin: Robert Koch-Institut; 2003. Nutzung von Informationsquellen über Gesundheit URL: https://www.gbe-bund.de/gbe10/ergebnisse.prc_fid_anzeige?p_fid=9778&p_fund_typ=TAB&p_sprachkz=D&p_uid=gast&p_aid=26085307&p_prot=1 [accessed 2012-04-11] [WebCite Cache]
- Kummervold PE, Chronaki CE, Lausen B, Prokosch HU, Rasmussen J, Santana S, et al. eHealth trends in Europe 2005-2007: a population-based survey. J Med Internet Res 2008;10(4):e42 [FREE Full text] [CrossRef] [Medline]
- Andreassen HK, Bujnowska-Fedak MM, Chronaki CE, Dumitru RC, Pudule I, Santana S, et al. European citizens' use of E-health services: a study of seven countries. BMC Public Health 2007;7:53 [FREE Full text] [CrossRef] [Medline]
- Santana S, Lausen B, Bujnowska-Fedak M, Chronaki CE, Prokosch HU, Wynn R. Informed citizen and empowered citizen in health: results from an European survey. BMC Fam Pract 2011;12:20 [FREE Full text] [CrossRef] [Medline]
- Santana S, Lausen B, Bujnowska-Fedak M, Chronaki C, Kummervold PE, Rasmussen J, et al. Online communication between doctors and patients in Europe: status and perspectives. J Med Internet Res 2010;12(2):e20 [FREE Full text] [CrossRef] [Medline]
- Kobelt G, Berg J, Lindgren P, Elias WG, Flachenecker P, Freidel M, et al. Costs and quality of life of multiple sclerosis in Germany. Eur J Health Econ 2006 Sep;7 Suppl 2:S34-S44. [CrossRef] [Medline]
- Hay MC, Strathmann C, Lieber E, Wick K, Giesser B. Why patients go online: multiple sclerosis, the internet, and physician-patient communication. Neurologist 2008 Nov;14(6):374-381. [CrossRef] [Medline]
- Nielsen AS, Halamka JD, Kinkel RP. Internet portal use in an academic multiple sclerosis center. J Am Med Inform Assoc 2012;19(1):128-133. [CrossRef] [Medline]
- Ziemssen T. Symptom management in patients with multiple sclerosis. J Neurol Sci 2011;311(suppl 1):S48-S52. [CrossRef]
- Harland J, Bath P. Assessing the quality of websites providing information on multiple sclerosis: evaluating tools and comparing sites. Health Informatics J 2007 Sep;13(3):207-221. [CrossRef] [Medline]
- Hoffmann T, Twork S, Pöhlau D, Kugler J. Patientenorientierung im Internet: qualitative Bewertung von Internetseiten für Multiple-Sklerose-Betroffene. Akt Neurol 2009;36(04):151-157. [CrossRef]
- Hassol A, Walker JM, Kidder D, Rokita K, Young D, Pierdon S, et al. Patient experiences and attitudes about access to a patient electronic health care record and linked web messaging. J Am Med Inform Assoc 2004;11(6):505-513 [FREE Full text] [CrossRef] [Medline]
- Lowe-Strong A, McCullagh PJ. Monitoring of symptoms and interventions associated with multiple sclerosis. Stud Health Technol Inform 2005;117:223-228. [Medline]
- Michel-Verkerke MB, Schuring RW, Spil TAM. Workflow management for multiple sclerosis patients: IT and organization. In: Proceedings of the 37th Annual Hawaii International Conference on Systems Sciences.: IEEE; 2004 Presented at: 37th Annual Hawaii International Conference on Systems Sciences; Jan 5-8, 2004; Big Island, Hawaii. [CrossRef]
- Schultheiss T, Kempcke R, Kratzsch F, Eulitz M, Pette M, Reichmann H, et al. [Multiple sclerosis management system 3D. Moving from documentation towards management of patients]. Nervenarzt 2012 Apr;83(4):450-457. [CrossRef] [Medline]
- Hatzakis MJ, Allen C, Haselkorn M, Anderson SM, Nichol P, Lai C, et al. Use of medical informatics for management of multiple sclerosis using a chronic-care model. J Rehabil Res Dev 2006;43(1):1-16. [Medline]
- Fernandez-Luque L, Elahi N, Grajales FJ. An analysis of personal medical information disclosed in YouTube videos created by patients with multiple sclerosis. Stud Health Technol Inform 2009;150:292-296. [Medline]
- Wicks P, Massagli M, Kulkarni A, Dastani H. Use of an online community to develop patient-reported outcome instruments: the Multiple Sclerosis Treatment Adherence Questionnaire (MS-TAQ). J Med Internet Res 2011;13(1):e12 [FREE Full text] [CrossRef] [Medline]
- Goverover Y, O'Brien AR, Moore NB, DeLuca J. Actual reality: a new approach to functional assessment in persons with multiple sclerosis. Arch Phys Med Rehabil 2010 Feb;91(2):252-260. [CrossRef] [Medline]
- Negreiros MA, Mattos P, Landeira-Fernandez J, Paes RA, Alvarenga RP. A brief neuropsychological screening test battery for cognitive dysfunction in Brazilian multiple sclerosis patients. Brain Inj 2008 May;22(5):419-426. [CrossRef] [Medline]
- Younes M, Hill J, Quinless J, Kilduff M, Peng B, Cook SD, et al. Internet-based cognitive testing in multiple sclerosis. Mult Scler 2007 Sep;13(8):1011-1019. [CrossRef] [Medline]
- Atreja A, Mehta N, Miller D, Moore S, Nichols K, Miller H, et al. One size does not fit all: using qualitative methods to inform the development of an Internet portal for multiple sclerosis patients. AMIA Annu Symp Proc 2005:16-20. [Medline]
- Matti AI, McCarl H, Klaer P, Keane MC, Chen CS. Multiple sclerosis: patients' information sources and needs on disease symptoms and management. Patient Prefer Adherence 2010;4:157-161 [FREE Full text] [Medline]
- Ball MJ, Lillis J. E-health: transforming the physician/patient relationship. Int J Med Inform 2001 Apr;61(1):1-10. [Medline]
- Wald HS, Dube CE, Anthony DC. Untangling the Web--the impact of Internet use on health care and the physician-patient relationship. Patient Educ Couns 2007 Nov;68(3):218-224. [CrossRef] [Medline]
- Lode K, Larsen JP, Bru E, Klevan G, Myhr KM, Nyland H. Patient information and coping styles in multiple sclerosis. Mult Scler 2007 Jul;13(6):792-799. [CrossRef] [Medline]
- Lejbkowicz I, Paperna T, Stein N, Dishon S, Miller A. Internet usage by patients with multiple sclerosis: implications to participatory medicine and personalized healthcare. Mult Scler Int 2010;2010:640749 [FREE Full text] [CrossRef] [Medline]
- Pucci E. Is the internet transforming the physician-consumer relationship? Preliminary data in a neurological setting. Eur J Neurol 2003 Mar;10(2):192. [Medline]
- Gerber BS, Eiser AR. The patient physician relationship in the Internet age: future prospects and the research agenda. J Med Internet Res 2001;3(2):E15 [FREE Full text] [CrossRef] [Medline]
- Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, Kappos L, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria". Ann Neurol 2005 Dec;58(6):840-846. [CrossRef] [Medline]
- Statistisches Landesamt Baden-Wuerttemberg, Germany. Statistische Berichte Baden-Wuerttemberg. 2011 Jul 20. Bevoelkerungsentwicklung in den Gemeinden Baden-Wuerttembergs 2010 URL: http://www.statistik-bw.de/Veroeffentl/Statistische_Berichte/3126_10001.pdf [accessed 2012-07-05] [WebCite Cache]
- Statistisches Landesamt des Freistaates Sachsen, Germany. www.statistik.sachsen.de. 2012 Jan. Bevoelkerung des Freistaates Sachsen jeweils am Monatsende ausgewaehlter Berichtsmonate nach Gemeinden URL: http://www.statistik.sachsen.de/download/010_GB-Bev/Bev_Gemeinde.pdf [accessed 2012-07-05] [WebCite Cache]
- Minden SL, Frankel D, Hadden L, Hoaglin DC. Access to health care for people with multiple sclerosis. Mult Scler 2007 May;13(4):547-558. [CrossRef] [Medline]
- Green BB, Anderson ML, Ralston JD, Catz S, Fishman PA, Cook AJ. Patient ability and willingness to participate in a web-based intervention to improve hypertension control. J Med Internet Res 2011;13(1):e1 [FREE Full text] [CrossRef] [Medline]
- Wagner TH, Baker LC, Bundorf MK, Singer S. Use of the Internet for health information by the chronically ill. Prev Chronic Dis 2004 Oct;1(4):A13 [FREE Full text] [Medline]
- Singh H, Fox SA, Petersen NJ, Shethia A, Street RL. Older patients' enthusiasm to use electronic mail to communicate with their physicians: cross-sectional survey. J Med Internet Res 2009;11(2):e18 [FREE Full text] [CrossRef] [Medline]
- Nijland N, van Gemert-Pijnen J, Boer H, Steehouder MF, Seydel ER. Evaluation of internet-based technology for supporting self-care: problems encountered by patients and caregivers when using self-care applications. J Med Internet Res 2008;10(2):e13 [FREE Full text] [CrossRef] [Medline]
|MS: multiple sclerosis|
Edited by P Wicks; submitted 12.04.12; peer-reviewed by R Bove, T Holm; comments to author 07.05.12; revised version received 18.06.12; accepted 08.08.12; published 15.10.12
©Rocco Haase, Thorsten Schultheiss, Raimar Kempcke, Katja Thomas, Tjalf Ziemssen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.10.2012.
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