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Online Patient Education for Chronic Disease Management: Consumer Perspectives

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Abstract

Patient education plays an important role in chronic disease management. The aim of this study is to identify patients’ preferences in regard to the design features of effective online patient education (OPE) and the benefits. A review of the existing literature was conducted in order to identify the benefits of OPE and its essential design features. These design features were empirically tested by conducting survey with patients and caregivers. Reliability analysis, construct validity and regression analysis were performed for data analysis. The results identified patient-tailored information, interactivity, content credibility, clear presentation of content, use of multimedia and interpretability as the essential design features of online patient education websites for chronic disease management.

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References

  1. Win, K. T., Hassan, N., Bonney, A., and Iverson, D., Benefits of online health education: perception from consumers and health professionals. J. Med. Syst. 39(3):1–8, 2015. doi:10.1007/s10916-015-0224-4.

    Article  Google Scholar 

  2. Win, K. T., Implementing patient accessible health information site for diabetes management. 1790–1797, 2010.

  3. Mollaoğlu, M., and Beyazit, E., Influence of diabetic education on patient metabolic control. Appl. Nurs. Res. 22(3):183–190, 2009.

    Article  PubMed  Google Scholar 

  4. Koivunen, M., Hätönen, H., and Välimäki, M., Barriers and facilitators influencing the implementation of an interactive Internet-portal application for patient education in psychiatric hospitals. Patient Educ. Couns. 70(3):412–419, 2008. doi:10.1016/j.pec.2007.11.002.

    Article  PubMed  Google Scholar 

  5. Clayman, M. L., Boberg, E. W., and Makoul, G., The use of patient and provider perspectives to develop a patient-oriented website for women diagnosed with breast cancer. Patient Educ. Couns. 72(3):429–435, 2008. doi:10.1016/j.pec.2008.05.032.

    Article  PubMed  Google Scholar 

  6. Casebeer, L., Allison, J., and Spettell, C. M., Designing tailored Web-based instruction to improve practicing physicians’ chlamydial screening rates. Acad. Med. 77(9):929, 2002.

    Article  PubMed  Google Scholar 

  7. Kelders, S. M., Kok, R.N., Ossebaard, H. C., Van Gemert-Pijnen, J. E. W. C., Persuasive system design does matter: a systematic review of adherence to web-based interventions. J. Med. Internet Res. 14(6), 2012.

  8. Ellis, S. E., Speroff, T., Dittus, R. S., Brown, A., Pichert, J. W., and Elasy, T. A., Diabetes patient education: a meta-analysis and meta-regression. Patient Educ. Couns. 52(1):97–105, 2004.

    Article  PubMed  Google Scholar 

  9. Singh, N., Armstrong, D. G., and Lipsky, B. A., Preventing foot ulcers in patients with diabetes. JAMA 293(2):217–228, 2005.

    Article  CAS  PubMed  Google Scholar 

  10. Allen, M., Iezzoni, L. I., Huang, A., Huang, L., Leveille, S. G., Internet-based coaching to improve patient-clinician communication in primary care. AMIA Annu. Symp. Proc. Annu. Symp. Proc/AMIA Symp. 861, 2007

  11. Dolor, R. J., Yancy, W. S., Jr., Owen, W. F., Matchar, D. B., Samsa, G. P., Pollak, K. I., Lin, P.-H., Ard, J. D., Prempeh, M., McGuire, H. L., Batch, B. C., Fan, W., and Svetkey, L. P., Hypertension Improvement Project (HIP): study protocol and implementation challenges. Trials 10:13, 2009.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ullrich, P. F. J. M. D., and Vaccaro, A. R. M. D., Patient education on the internet: opportunities and pitfalls. Spine 27(7):E185–E188, 2002.

    Article  PubMed  Google Scholar 

  13. Levin-Zamir, D., and Peterburg, Y., Health literacy in health systems: perspectives on patient self-management in Israel. Health Promot. Int. 16(1):87–94, 2001.

    Article  CAS  PubMed  Google Scholar 

  14. Azar, M., and Gabbay, R., Web-based management of diabetes through glucose uploads: Has the time come for telemedicine? Diabetes Res. Clin. Pract. 83(1):9–17, 2009.

    Article  PubMed  Google Scholar 

  15. Jeste, D. V., Dunn, L. B., Folsom, D. P., and Zisook, D., Multimedia educational aids for improving consumer knowledge about illness management and treatment decisions: a review of randomized controlled trials. J. Psychiatr. Res. 42(1):1–21, 2008.

    Article  PubMed  Google Scholar 

  16. Wise, M., Han, J. Y., Shaw, B., McTavish, F., and Gustafson, D. H., Effects of using online narrative and didactic information on healthcare participation for breast cancer patients. Patient Educ. Couns. 70(3):348–356, 2008.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Gustafson, D. H., Hawkins, R. P., Boberg, E. W., McTavish, F., Owens, B., Wise, M., Berhe, H., and Pingree, S., CHESS: 10 years of research and development in consumer health informatics for broad populations, including the underserved. Int. J. Med. Inform. 65(3):169–177, 2002.

    Article  PubMed  Google Scholar 

  18. Weinert, C., Cudney, S., and Hill, W., Retention in a computer-based outreach intervention for chronically ill rural women. Appl. Nurs. Res. 21(1):23–29, 2008.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Bass, S. B., Ruzek, S. B., Gordon, T. F., Fleisher, L., McKeown-Conn, N., and Moore, D., Relationship of Internet health information use with patient behavior and self-efficacy: experiences of newly diagnosed cancer patients who contact the National Cancer Institute’s Cancer Information Service. J. Health Commun. 11(2):219–236, 2006.

    Article  PubMed  Google Scholar 

  20. Nahm, E.-S., Blum, K., Scharf, B., Friedmann, E., Thomas, S., Jones, D., and Gottlieb, S. S., Exploration of patients’ readiness for an eHealth management program for chronic heart failure: a preliminary study.[see comment]. J. Cardiovasc. Nurs. 23(6):463–471, 2008.

    Article  PubMed  Google Scholar 

  21. Heart Failure Society Of A, Executive summary: HFSA 2006 comprehensive heart failure practice guideline. J. Card. Fail. 12(1):10–38, 2006.

    Article  Google Scholar 

  22. Bussey-Smith, K. L., and Rossen, R. D., A systematic review of randomized control trials evaluating the effectiveness of interactive computerized asthma patient education programs. Ann. Allergy Asthma Immunol. 98(6):507–516, 2007.

    Article  PubMed  Google Scholar 

  23. Booth, A. O., Nowson, C. A., and Matters, H., Evaluation of an interactive, Internet-based weight loss program: a pilot study. Health Educ. Res. 23(3):371–381, 2008.

    Article  PubMed  Google Scholar 

  24. Elliott, J. O., Charyton, C., and Long, L., A health literacy assessment of the National Epilepsy Foundation Web site. Epilepsy Behav. 11(4):525–532, 2007.

    Article  PubMed  Google Scholar 

  25. Maarop, N., and Win, K. T., Understanding the need of health care providers for teleconsultation and technological attributes in relation to the acceptance of teleconsultation in Malaysia: a mixed methods study. J. Med. Syst. 36(5):2881–2892, 2012. doi:10.1007/s10916-011-9766-2.

    Article  PubMed  Google Scholar 

  26. Luanrattana, R., Win, K. T., Fulcher, J., and Iverson, D., Mobile technology use in medical education. J. Med. Syst. 36(1):113–122, 2012. doi:10.1007/s10916-010-9451-x.

    Article  PubMed  Google Scholar 

  27. Flores Zuniga, A. E., Win, K. T., and Susilo, W., Biometrics for electronic health records. J. Med. Syst. 34(5):975–983, 2010. doi:10.1007/s10916-009-9313-6.

    Article  PubMed  Google Scholar 

  28. Kaptein, M., Markopoulos, P., de Ruyter, B., and Aarts, E., Personalizing persuasive technologies: explicit and implicit personalization using persuasion profiles. Int. J. Hum. Comput. Stud. 77:38–51, 2015. doi:10.1016/j.ijhcs.2015.01.004.

    Article  Google Scholar 

  29. O’Connor, D. B., Warttig, S., Conner, M., and Lawton, R., Raising awareness of hypertension risk through a web-based framing intervention: does consideration of future consequences make a difference? Psychol. Health Med. 14(2):213–219, 2009.

    Article  PubMed  Google Scholar 

  30. Alley, S., Jennings, C., Plotnikoff, R. C., Vandelanotte, C., My activity coach - using video-coaching to assist a web-based computer-tailored physical activity intervention: a randomised controlled trial protocol. BMC Public Health.14. doi:10.1186/1471-2458-14-738, 2014.

  31. Spittaels, H., De Bourdeaudhuij, I., Brug, J., and Vandelanotte, C., Effectiveness of an online computer-tailored physical activity intervention in a real-life setting. Health Educ. Res. 22(3):385–396, 2007.

    Article  PubMed  Google Scholar 

  32. Ezendam, N., Noordegraaf, V., Kroeze, W., Brug, J., and Oenema, A., Process evaluation of FATaintPHAT, a computer-tailored intervention to prevent excessive weight gain among Dutch adolescents. Health Promot. Int. 28(1):26–35, 2013.

    Article  CAS  PubMed  Google Scholar 

  33. Kim, H.-Y., Park, H.-A., Min, Y. H., and Jeon, E., Development of an obesity management ontology based on the nursing process for the mobile-device domain. J. Med. Internet Res. 15(6):56–66, 2013.

    Google Scholar 

  34. Klausen, S. H., Mikkelsen, U. R., Hirth, A., Wetterslev, J., Kjaergaard, H., Sondergaard, L., and Andersen, L. L., Design and rationale for the PREVAIL study: effect of e-Health individually tailored encouragements to physical exercise on aerobic fitness among adolescents with congenital heart disease-a randomized clinical trial. Am. Heart J. 163(4):549–556, 2012. doi:10.1016/j.ahj.2012.01.021.

    Article  PubMed  Google Scholar 

  35. Leveille, S. G., Huang, A., Tsai, S. B., Allen, M., Weingart, S. N., and Iezzoni, L. I., Health coaching via an internet portal for primary care patients with chronic conditions: a randomized controlled trial. Med. Care 47(1):41–47, 2009.

    Article  PubMed  Google Scholar 

  36. Glasgow, R. E., Boles, S. M., McKay, H. G., Feil, E. G., and Barrera, M., The D-Net diabetes self-management program: long-term implementation, outcomes, and generalization results. Prev. Med. 36(4):410–419, 2003.

    Article  PubMed  Google Scholar 

  37. Ferney, S. L., and Marshall, A. L., Website physical activity interventions: preferences of potential users. Health Educ. Res. 21(4):560–566, 2006. doi:10.1093/her/cyl013.

    Article  PubMed  Google Scholar 

  38. Mitchell, J. A., Fun, J., and McCray, A. T., Design of genetics home reference: a new NLM consumer health resource. J. Am. Med. Inform. Assoc. 11(6):439–447, 2004.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Schulz, P. J., Rubinelli, S., Mariotti, G., and Keller, N., Meeting the ranging of informational needs of chronic low back pain sufferers: conceptual design and rationale of the interactive website ONESELF. Disabil. Rehabil. 31(25):2118–2124, 2009. doi:10.3109/09638280902943231.

    Article  PubMed  Google Scholar 

  40. H.O.N. code of conduct (HONcode) for medical and health web sites. (1997) Health on the Net foundation. http://www.hon.ch/HONcode/Conduct.html. 2014.

  41. Thakurdesai, P. A., Kole, P. L., and Pareek, R. P., Evaluation of the quality and contents of diabetes mellitus patient education on Internet. Patient Educ. Couns. 53(3):309–313, 2004.

    Article  PubMed  Google Scholar 

  42. Marton, C., Understanding the health information needs of British internet users seeking health information online and their perceptions of the quality of the internet as a source of health information. J. Hosp. Librariansh. 15(2):175–188, 2015. doi:10.1080/15323269.2015.1015092.

    Article  Google Scholar 

  43. Oinas-Kukkonen, H., and Harjumaa, M., Persuasive systems design: key issues, process model, and system features. Commun. Assoc. Inf. Syst. 24(1):28, 2009.

    Google Scholar 

  44. Ream, E., Blows, E., Scanlon, K., and Richardson, A., An investigation of the quality of breast cancer information provided on the internet by voluntary organisations in Great Britain. Patient Educ. Couns. 76(1):10–15, 2009.

    Article  PubMed  Google Scholar 

  45. George, D., Stanley, M. F., and Stuart, M. S., Considerations for the design of a Web-based clinical monitoring and educational system for elderly patients. J. Am. Med. Inform. Assoc. 8(5):468, 2001.

    Article  Google Scholar 

  46. Young Gun, J., Visual contents adaptation for colour vision deficiency using customised ICC profile. Disabil. Rehabil. Assist. Technol. 5(4):258–265, 2010. doi:10.3109/17483101003718120.

    Article  Google Scholar 

  47. Kim, H. A., Bae, Y. D., and Seo, Y. I., Arthritis information on the Web and its influence on patients and physicians: a Korean study. Clin. Exp. Rheumatol. 22(1):49–54, 2004.

    CAS  PubMed  Google Scholar 

  48. Rezailashkajani, M., Roshandel, D., Ansari, S., and Zali, M. R., A web-based patient education system and self-help group in Persian language for inflammatory bowel disease patients. Int. J. Med. Inform. 77(2):122–128, 2008.

    Article  PubMed  Google Scholar 

  49. Doupi, P., and van der Lei, J., Design and implementation considerations for a personalized patient education system in burn care. Int. J. Med. Inform. 74(2–4):151–157, 2005.

    Article  PubMed  Google Scholar 

  50. van Weert, J., van Noort, G., Bol, N., van Dijk, L., Tates, K., and Jansen, J., Tailored information for cancer patients on the Internet: effects of visual cues and language complexity on information recall and satisfaction. Patient Educ. Couns. 84(3):368–378, 2011.

    Article  PubMed  Google Scholar 

  51. Tirlapur, S. A., Leiu, C., and Khan, K. S., Quality of information on the internet related to bladder pain syndrome: a systematic review of the evidence. Int. Urogynecol. J. Pelvic Floor Dysfunct. 24(8):1257–1262, 2013. doi:10.1007/s00192-013-2091-1.

    Article  CAS  Google Scholar 

  52. D’Alessandro, D. M., Kreiter, C. D., Kinzer, S. L., and Peterson, M. W., A randomized controlled trial of an information prescription for pediatric patient education on the Internet. Arch. Pediatr. Adolesc. Med. 158(9):857–862, 2004. doi:10.1001/archpedi.158.9.857.

    Article  PubMed  Google Scholar 

  53. Ajzen, I., Fishbein, M., Understanding attitudes and predicting social behaviour. 1980.

  54. Zhang, P., Dran, G. M. V., Small, R. V., Barcellos, S., A Two-Factor Theory for Website Design. Paper presented at the Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6, 2000.

  55. Oinas-Kukkonen, H., A foundation for the study of behavior change support systems. Pers. Ubiquit. Comput. 1–13, 2012.

  56. Van den Borne, H. W., The patient from receiver of information to informed decision-maker. Patient Educ. Couns. 34(2):89–102, 1998.

    Article  PubMed  Google Scholar 

  57. Becker, H. S., Doing things together: selected papers. Northwestern University Press. 1986.

  58. Feng, C. C., The Catholic University of A, Influence of Health Beliefs, Gender, Income, and Family/social Support on Compliance with Hypertensive Therapeutic Regimens Among Chinese Immigrants in the United States. The Catholic University of America. 2009.

  59. Hochbaum, G. M., Public participation in medical screening programs: a socio-psychological study. US Department of Health, Education, and Welfare, Public Health Service, Bureau of State Services, Division of Special Health Services, Tuberculosis Program. 1958.

  60. Costello, A., Osborne, J., Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract. Assess. Res. Evaluation. 10(7). doi:citeulike-article-id:9766246, 2005.

  61. Bickmore, T., and Giorgino, T., Health dialog systems for patients and consumers. J. Biomed. Inform. 39(5):556–571, 2006.

    Article  PubMed  Google Scholar 

  62. Bagozzi, R., and Yi, Y., On the evaluation of structural equation models. J. Acad. Mark. Sci. 16(1):74–94, 1988. doi:10.1007/bf02723327.

    Article  Google Scholar 

  63. Bock, B. C., Hudmon, K. S., Christian, J., Graham, A. L., and Bock, F. R., A tailored intervention to support pharmacy-based counseling for smoking cessation. Nicotine Tob. Res. 12(3):217–225, 2010.

    Article  PubMed  PubMed Central  Google Scholar 

  64. Prochaska, J. O., Butterworth, S., Redding, C. A., Burden, V., Perrin, N., Leo, M., Flaherty-Robb, M., and Prochaska, J. M., Initial efficacy of MI, TTM tailoring and HRI’s with multiple behaviors for employee health promotion. Prev. Med. 46(3):226–231, 2008.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Yoon, J., Malin, J. L., Tao, M. L., Tisnado, D. M., Adams, J. L., Timmer, M. J., Ganz, P. A., and Kahn, K. L., Symptoms after breast cancer treatment: are they influenced by patient characteristics? Breast Cancer Res. Treat. 108(2):153–165, 2008.

    Article  PubMed  Google Scholar 

  66. Vila, N., and Kuster, I., Consumer feelings and behaviours towards well designed websites. Inf. Manag 48(4–5):166–177, 2011.

    Article  Google Scholar 

  67. Ammann, R., Vandelanotte, C., de Vries, H., and Mummery, W., Can a website-delivered computer-tailored physical activity intervention be acceptable, usable, and effective for older people? Health Educ. Behav. 40(2):160–170, 2013.

    Article  PubMed  Google Scholar 

  68. Fico, G., Gaeta, E., Arredondo, M. T., and Pecchia, L., Analytic hierarchy process to define the most important factors and related technologies for empowering elderly people in taking an active role in their health. J. Med. Syst. 39(9):1–7, 2015. doi:10.1007/s10916-015-0300-9.

    Article  Google Scholar 

  69. Camerini, L., Camerini, A.-L., and Schulz, P. J., Do participation and personalization matter? A model-driven evaluation of an Internet-based patient education intervention for fibromyalgia patients. Patient Educ. Couns. 92(2):229–234, 2013. doi:10.1016/j.pec.2013.04.007.

    Article  PubMed  Google Scholar 

  70. Gremeaux, V., and Coudeyre, E., The Internet and the therapeutic education of patients: a systematic review of the literature. Ann. Phys. Rehabil. Med. 53(10):669–692, 2010.

    Article  CAS  PubMed  Google Scholar 

  71. Oenema, A., Brug, J., and Lechner, L., Web-based tailored nutrition education: results of a randomized controlled trial. Health Educ. Res. 16(6):647–660, 2001. doi:10.1093/her/16.6.647.

    Article  CAS  PubMed  Google Scholar 

  72. Lee, C.-j., Gray, S. W., and Lewis, N., Internet use leads cancer patients to be active health care consumers. Patient Educ. Couns. 81:S63–S69, 2010.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Nahm, E. S., Blum, K., Scharf, B., Friedmann, E., Thomas, S., Jones, D., and Gottlieb, S. S., Exploration of patients’ readiness for an ehealth management program for chronic heart failure: a preliminary study. J . Cardiovasc. Nurs. 23(6):463–471, 2008.

    Article  PubMed  Google Scholar 

  74. Potts, H. W. W., and Wyatt, J. C., Survey of doctors’ experience of patients using the Internet. J. Med. Internet Res. 4(1):e5, 2002.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Coulson, N. S., and Shaw, R. L., Nurturing health-related online support groups: Exploring the experiences of patient moderators. Comput. Hum. Behav. 29(4):1695–1701, 2013.

    Article  Google Scholar 

  76. Heart Failure Society of A, Section 8: disease management in heart failure. J. Card. Fail. 12(1):e58–e69, 2006.

    Article  Google Scholar 

  77. Oinas-Kukkonen, H., Räisänen, T., and Hummastenniemi, N., Patient relationship management: an overview and study of a follow-up system. J Healthc. Inf. Manag. JHIM 22(3):24–29, 2008.

    PubMed  Google Scholar 

  78. Cabana, M. D., and Le, T. T., Challenges in asthma patient education. J. Allergy Clin. Immunol. 115(6):1225–1227, 2005.

    Article  PubMed  Google Scholar 

  79. Hong, Y., Peña-Purcel, N. C., and Ory, M. G., Outcomes of online support and resources for cancer survivors: a systematic literature review. Patient Educ. Couns. 86(3):288–296, 2012.

    Article  PubMed  Google Scholar 

  80. Goessens, B. M. B., Visseren, F. L. J., de Nooijer, J., van den Borne, H. W., Algra, A., Wierdsma, J., and van der Graaf, Y., A pilot-study to identify the feasibility of an Internet-based coaching programme for changing the vascular risk profile of high-risk patients. Patient Educ. Couns. 73(1):67–72, 2008.

    Article  PubMed  Google Scholar 

  81. Heinrich, E., de Nooijer, J., Schaper, N. C., Schoonus-Spit, M. H. G., Janssen, M. A. J., and de Vries, N. K., Evaluation of the web-based Diabetes Interactive Education Programme (DIEP) for patients with type 2 diabetes. Patient Educ. Couns. 86(2):172–178, 2012.

    Article  PubMed  Google Scholar 

  82. Smith, L., and Weinert, C., Telecommunication support for rural women with diabetes. Diabetes Educ. 26(4):645–655, 2000. doi:10.1177/014572170002600412.

    Article  CAS  PubMed  Google Scholar 

  83. McKay, H. G., Glasgow, R. E., Feil, E. G., Boles, S. M., and Barrera, M., Internet-based diabetes self-management and support: initial outcomes from the diabetes network project. Rehabil. Psychol. 47(1):31–48, 2002.

    Article  Google Scholar 

  84. Kim, S., Mouradian, W. E., Leggott, P. J., Schaad, D. C., and Shaul, C., Implications for designing online oral health resources: a review of fifty-six websites. J. Dent. Educ. 68(6):633–643, 2004.

    PubMed  Google Scholar 

  85. Fisher, J., and Clayton, M., Who gives a tweet: assessing patients’ interest in the use of social media for health care. Worldviews Evid. Based Nurs. 9(2):100–108, 2012. doi:10.1111/j.1741-6787.2012.00243.x.

    Article  PubMed  Google Scholar 

  86. Yamout, S. Z., Glick, Z. A., Lind, D. S., Monson, R. A., and Glick, P. L., Using social media to enhance surgeon and patient education and communication. Bull. Am. Coll. Surg. 96(7):7–15, 2011.

    PubMed  Google Scholar 

  87. Doupi, P., and Van Der Lei, J., R(x) medication information for the public and the WWW: quality issues. Med. Inform. Internet Med. 24(3):171–179, 1999.

    Article  CAS  PubMed  Google Scholar 

  88. Morrison, L. G., Yardley, L., Powell, J., and Michie, S., What design features are used in effective e-health interventions? A review using techniques from Critical Interpretive Synthesis. Telemed. J. e-Health 18(2):137–144, 2012. doi:10.1089/tmj.2011.0062.

    Article  PubMed  Google Scholar 

  89. Eysenbach, G., and Diepgen, T. L., The role of e-health and consumer health informatics for evidence-based patient choice in the 21st century. Clin. Dermatol. 19(1):11–17, 2001. doi:10.1016/S0738-081X(00)00202-9.

    Article  CAS  PubMed  Google Scholar 

  90. Smith, C. E., Cha, J., Puno, F., Magee, J. D., Bingham, J., and Van Gorp, M., Quality assurance processes for designing patient education web sites. Comput. Inform. Nurs. 20(5):191–200, 2002.

    Article  PubMed  Google Scholar 

  91. Kim, P., Eng, T. R., Deering, M. J., and Maxfield, A., Published criteria for evaluating health related web sites: review. Br. Med. J. 318(7184):647–649, 1999.

    Article  CAS  Google Scholar 

  92. Doupi, P., and van der Lei, J., Design considerations for a personalised patient education system. Stud. Health Technol. Inform. 95:762–767, 2003.

    PubMed  Google Scholar 

  93. DeGuzman, M. A., and Ross, M. W., Assessing the application of HIV and AIDS related education and counselling on the Internet. Patient Educ. Couns. 36(3):209–228, 1999.

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Khin Than Win.

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This article is part of the Topical Collection on Education & Training

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Appendix

Benefits of online patient education

For each statement below, please indicate your opinion by ticking (√) only one box from STRONGLY DISAGREE (column 1) to STRONGLY AGREE (column 5) in each row.

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Win, K.T., Hassan, N.M., Oinas-Kukkonen, H. et al. Online Patient Education for Chronic Disease Management: Consumer Perspectives. J Med Syst 40, 88 (2016). https://doi.org/10.1007/s10916-016-0438-0

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