Patients' acceptance towards a web-based personal health record system: An empirical study in Taiwan

International Journal of Environmental Research and Public Health

Volumn 10, Issue 10, 2013, Pages 5191-5208

  Liu, Chung Feng ^a   Tsai, Yung Chieh ^a,b,c   Jang, Fong Lin ^b  

^a CHIA NAN UNIVERSITY OF PHARMACY AND SCIENCE   (Taiwan)

^b CHI MEI MEDICAL CENTER   (Taiwan)

^c TAIPEI MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Patients; Personal health records; Physician patient relationship; Technology acceptance model

Indexed keywords

HEALTH CARE; HEALTH SERVICES; LEAST SQUARES METHOD; MEDICAL GEOGRAPHY; NUMERICAL MODEL; PUBLIC HEALTH;

ARTICLE; EMPIRICAL RESEARCH; HUMAN; HUMAN COMPUTER INTERACTION; INTERNET; MAJOR CLINICAL STUDY; MEDICAL INFORMATICS; MEDICAL INFORMATION SYSTEM; MEDICAL TECHNOLOGY; PATIENT ATTITUDE; PATIENT INFORMATION; PERSONAL HEALLTH RECORD SYSTEM; QUESTIONNAIRE; SELF CONCEPT; TAIWAN;

TAIWAN;

COMPUTER SECURITY; CONFIDENTIALITY; CONSUMER PARTICIPATION; DIFFUSION OF INNOVATION; HEALTH RECORDS, PERSONAL; HUMANS; INFORMATION STORAGE AND RETRIEVAL; INTENTION; INTERNET; INTERVIEWS AS TOPIC; MEDICAL INFORMATICS; MEDICAL RECORD LINKAGE; MODELS, THEORETICAL; PHYSICIAN-PATIENT RELATIONS; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; TAIWAN;

EID: 84885925708     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph10105191     Document Type: Article

References (73)

1. Waegemann, C.P. The five levels of electronic health records. MD Comput. 1996, 13, 199-203.
2. Institute of Medicine (IOM). The Computer-Based Patient Record: An Essential Technology for Health Care; National Academy Press: Washington, DC, USA, 1997.
3. American Telemedicine Association (AHA). What is Telemedicine? Available online: http://www.americantelemed.org/learn/what-is-telemedicine (accessed on 2 September 2013).
4. Tang, P.C.; Lansky, D. The missing link: Bridging the patient-provider health information gap. Health Aff. 2005, 24, 1290-1295.
5. Connecting for Health: A Public-Private Collaborative; Markle Foundation: New York, NY, USA, 2003.
6. Bozkurt, S.; Zayim, N.; Gulkesen, K.H.; Samur, M. K; Karaaǧaoglu, N.; Saka, O. Usability of a web-based personal nutrition management tool. Inform. Health Soc. Care 2011, 36, 190-205.
7. Pirtle, B.; Chandra, A. An overview of consumer perceptions and acceptance as well as barriers and potential of electronic personal health records. Am. J. Health Sci. 2011, 2, 45-52.
8. Wen, K.Y.; Gary, K.; Fang, Z.; Suzanne, M. Consumers' perceptions about and use of the internet for personal health records and health information exchange: Analysis of the 2007 health information national trends survey. J. Med. Internet Res. 2010, 12, doi:10.2196/jmir.1668.
9. Consumers and Health Information Technology: A National Survey; California HealthCare Foundation: Oakland, CA, USA, 2010.
10. Jian, W.S.; Shabbir, S.A.; Sood, S.P.; Lee, P.; Hsu, M.H.; Ho, C.H.; Li, Y.C.; Wen, H.C. Factors influencing consumer adoption of USB-based Personal Health Records in Taiwan. BMC Health Serv. Res. 2012, 12, doi:10.1186/1472-6963-12-277.
11. Kaelber, D.C.; Jha, A.K.; Johnston, D.; Middleton, B.; Bates, D.W. A Research agenda for personal health records (PHRs). J. Am. Med. Inform. Assoc. 2008, 15, 729-736.
12. Steinwachs, D.M.; Roter, D.; Skinner, E.A.; Lehman, A.F.; Fahey, M.; Cullen, B.; Everett, A.S.; Gallucci, G. A web-based program to empower patients who have schizophrenia to discuss quality of care with mental health providers. Psychiatr. Serv. 2011, 62, 1296-1302.
13. Weissman, A.; Gotlieb, L.; Ward, S.; Greenblatt, E.; Casper, R.F. Use of the internet by infertile couples. Fertil. Steril. 2000, 73, 1179-1182.
14. Haagen, E.C.; Tuil, W.; Hendriks, J.; de Bruijn, R.P.; Braat, D.D.; Kremer, J.A. Current internet use and preferences of IVF and ICSI patients. Hum. Reprod. 2003, 18, 2073-2078.
15. Davis, F.D.; Bagozzi, R.P.; Warshaw, P.R. User acceptance of computer technology: A comparison of two theoretical models. Manag. Sci. 1989, 35, 982-1003.
16. American Health Information Management Association (AHIMA). Defining the personal health record. J. AHIMA. 2005, 76, 24-25.
17. Healthcare Information and Management Systems Society (HIMSS). HIMSS Personal Health Records-Definition and Position Statement; HIMSS: Chicago, IL, USA, 2007.
18. Kim, M.I.; Johnson, K.B. Personal health records: Evaluation of functionality and utility. J. Am. Med. Inform. Assoc. 2002, 9, 171-180.
19. Chen, T.H.; Chang, S.P.; Tsai, C.F.; Juang, K.D. Prevalence of depressive and anxiety disorders in an assisted reproductive technique clinic. Hum. Reprod. 2004, 19, 2313-2318.
20. Domar, A.D.; Broome, A.; Zuttermeister, P.C.; Seibel, M.; Friedman, R. The prevalence and predictability of depression in infertile women. Fertil. Steril. 1992, 58, 1158-1163.
21. Eugster, A.; Vingerhoets, A.J. Psychological aspects of in vitro fertilization: A review. Soc. Sci. Med. 1999, 48, 575-589.
22. Wischmann, T. Psychosocial aspects of fertility disorders. Urologe 2005, 44, 185-194.
23. Lee, M.; Delaney, C.; Moorhead, S. Building a personal health record from a nursing perspective. Int. J. Med. Inform. 2007, 76, S308-S316.
24. Wright, A.; Sittig, D.F. Encryption characteristics of two usb-based personal health record devices. J. Am. Med. Inform. Assoc. 2007, 14, 397-399.
25. Sox, C.M.; Gribbons, W.M.; Loring, B.A.; Mandl, K.D.; Batista, R.; Porter, S.C. Patient-centered design of an information management module for a personally controlled health record. J. Med. Internet Res. 2010, 12, doi:10.2196/jmir.1269.
26. Krist, A.H.; Peele, E.; Woolf, S.H.; Rothemich, S.F.; Loomis, J.F.; Longo, D.R.; Kuzel, A.J. Designing a patient-centered personal health record to promote preventive care. BMC Med. Inform. Decis. Mak. 2011, 11, doi:10.1186/1472-6947-11-73.
27. Kim, E.H.; Stolyar, A.; Lober, W.B.; Herbaugh, A.L.; Shinstrom, S.E.; Zierler, B.K.; Soh, C.B.; Kim, Y. Usage Patterns of a Personal Health Record by Elderly and Disabled Users. In Proceeding of the AMIA 2007 Symposium Proceedings, Chicago, IL, USA 10-14 November 2007.
28. Chau, J.P.; Chung, L.C.; Wong, R.Y.; Loo, K.M.; Lo, S.H.; So, T.T.; Lau, M.S.; Yeung, T.H.; Leung, B.S.; Tong, M.L.; et al. An evaluation of a web-based diabetes education program designed to enhance self-management among patients living with diabetes. Comput. Inform. Nurs. 2012, 30, 672-679.
29. Logue, M.D.; Effken, J.A. Modeling factors that influence personal health records adoption. Comput. Inform. Nurs. 2012, 30, 354-362.
30. Davis, F.D.; Venkatesh, V. A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. Int. J. Hum.-Comput. Stud. 1996, 45, 19-45.
31. Lee, Y.; Kozar, K.A.; Larsen, K.R.T. The technology acceptance model: Past, present, and future. Commun. Assoc. Inf. Syst. 2003, 12, 752-780.
32. Pare, G.; Sicotte, C.; Jacques, H. The Effects of creating psychological ownership on physicians' acceptance of clinical information systems. J. Am. Med. Inform. Assoc. 2006, 13, 197-205.
33. Aggelidis, V.P.; Chatzoglou, P.D. Using a modified technology acceptance model in hospitals. Int. J. Med. Inform. 2009, 78, 115-126.
34. Kowitlawakul, Y. The technology acceptance model: Predicting nurses' intention to use telemedicine technology (eICU). Comput. Inform. Nurs. 2011, 29, 411-418.
35. Rahimpour, M.; Lovell, N.H.; Celler, B.G.; McCormick, J. Patients' perceptions of a home telecare system. Int. J. Med. Inform. 2008, 77, 486-498.
36. Or, C.; Karsh, B.T.; Severtson, D.J.; Burke, L.J.; Brown, R.L.; Brennan, P.F. Factors affecting home care patients' acceptance of a web-based interactive self-management technology. J. Am. Med. Inform. Assoc. 2011, 18, 51-59.
37. Lim, S.H.; Kim, D. The role of trust in the use of health infomediaries among university students. Inform. Health Soc. Care 2012, 37, 92-105.
38. Teutsch, C. Patient-doctor communication. Med. Clin. North. Am. 2003, 87, 1115-1145.
39. Roter, D.L.; Hall, J.A. Doctors Talking With Patients/Patients Talking with Doctors: Improving Communication in Medical Visits; Auburn House: Westport, CT, USA, 1992.
40. The Medical Interview: Clinical Care, Education, and Research; Lipkin, M., Putnam, S.M., Lazare, A., Eds.; Springer-Verlag: New York, NY, USA, 1995.
41. Scott, A. Economics of General Practice. In Handbook of Health Economics; Culyer, A.J., Newhouse, J.P., Eds.; Elsevier Science: New York, NY, USA, 2000; Volume 1B.
42. Winkelman, W.J.; Leonard, K.J.; Rossos, P.G. Patient-perceived usefulness of online electronic medical records: Employing grounded theory in the development of information and communication technologies for use by patients living with chronic illness. J. Am. Med. Inform. Assoc. 2005, 12, 306-314.
43. Ventres, W.; Kooienga, S.; Vuckovic, N.; Marlin, R.; Nygren, P.; Stewart, V. Physicians, patients, and the electronic health record: An ethnographic analysis. Ann. Fam. Med. 2006, 4, 124-131.
44. Werner, P.; Karnieli, E. A model of the willingness to use telemedicine for routine and specialized care. J. Telemed. Telecare 2003, 9, 264-272.
45. Werner, P. Willingness to use telemedicine for psychiatric care. Telemed. e-Health 2004, 10, 286-293.
46. Öst, L.G. Applied relaxation: description of a coping technique and review of controlled studies. Behav. Res. Ther. 1987, 25, 397-409.
47. Hung, C.I.; Weng, L.J.; Su, Y.J.; Liu, C.Y. Depression and somatic symptoms scale: A new scale with both depression and somatic symptoms emphasized. Psychiatry Clin. Neurosci. 2006, 60, 700-708.
48. European Society of Human Reproduction and Embryology; American Society of Reproductive Medicine (ASRM); Merck-Serono International. The Fertility Quality of Life Questionnaire, 2009. Available online: http://www.fertiqol.org (accessed on 20 September 2012).
49. Department of Health, UK. The GP Patient Survey Questionnaire (July-September 2011). Available online: http://www.gp-patient.co.uk/download/Questionnaires/Y6Q1%20GP% 20Patient%20Survey%20questionnaire.pdf (accessed on 20 September 2012).
50. Chin, W.W. How to Write up and Report PLS Analyses. In Handbook of Partial Least Squares Concepts, Methods and Applications, 1st ed.; Vinzi, V.E., Chin, W.W., Henseler, J., Wang, H., Eds.; Springer: Heidelberg, Berlin, Germany, 2010.
51. Fornell, C.; Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 1981, 18, 39-50.
52. O'Leary-Kelly, S.W.; Vokurka, R.J. The empirical assessment of construct validity. J. Oper. Manag. 1998, 16, 387-405.
53. Henseler, J.; Ringle, C.M.; Sinkovics, R.R. The use of partial least squares path modeling in international marketing. Adv. Int. Mark. 2009, 20, 277-319.
54. Wetzels, M.; Schroder, G.O.; Oppen, V.C. Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quart. 2009, 33, 177-195.
55. Van Bon, A.C.; Kohinor, M.J.; Hoekstra, J.B.; von Basum, G.; de Vries, J.H. Patients' perception and future acceptance of an artificial pancreas. J. Diabetes Sci. Technol. 2010, 4, 596-602.
56. Ziefle, M.; Wilkowska, W. Technology Acceptability for Medical Assistance. In Proceedings of the 4th International Conference on Pervasive Computing Technologies for Healthcare, Munchen, Germany, 22-25 March 2010.
57. Hargreaves, J.S. Will electronic personal health records benefit providers and patients in rural America? Telemed. e-Health 2010, 16, 167-176.
58. Klein, R. Internet-based patient-physician electronic communication applications: Patient acceptance and trust. e-Service J. 2007, 5, 27-51.
59. Lim, S.; Xue, L.; Yen, C.C.; Chang, L.; Chan, H.C.; Tai, B.C.; Duh, B.L.; Choolani, M. A study on Singaporean women's acceptance of using mobile phones to seek health information. Int. J. Med. Inform. 2011, 80, e189-e202.
60. Ta, W.H.; Ooi, K.B.; Sim, J.J.; Phusavat, K. Determinants of mobile learning adoption: An empirical analysis. J. Comput. Inf. Syst. 2012, 52, 82-91.
61. Gefen, D.; Karahanna, E.; Straub, D.W. Trust and TAM in online shopping: An integrated model. MIS Quart. 2003, 27, 51-90.
62. Ong, C.S.; Lai, J.Y.; Wang, Y.S. Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies. Inf. Manag. 2004, 41, 795-804.
63. Teo, T.; van Schaik, P. Understanding technology acceptance in pre-service teachers: A structural-equation modeling approach. Asia-Pac. Educ. Res. 2009, 18, 47-66.
64. Pikkarainen, T.; Pikkarainen, K.; Karjaluoto, H.; Pahnila, S. Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Res. 2004, 14, 224-235.
65. Wu, J.H.; Wang, S.C. What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Inf. Manag. 2006, 42, 719-729.
66. Barker, D.J.; van Schaik, P.; Simpson, D.S.; Corbett, W.A. Evaluating a spoken dialogue system for recording clinical observations during an endoscopic examination. Inform. Health Soc. Care 2003, 28, 85-97.
67. Liang, H.; Xue, Y.; Chase, S.K. Online health information seeking by people with physical disabilities due to neurological conditions. Int. J. Med. Inform. 2011, 78, 115-126.
68. Shaw, B.R.; Han, J.Y.; Hawkins, R.P.; James, S.; McTavish, F.; Gustafson, D.H. Doctor-patient relationship as motivation and outcome: Examining uses of an interactive cancer communication system. Int. J. Med. Inform. 2007, 76, 274-282.
69. Tieman, J. Survey: Hospital dabble in internet. Mod. Healthc. 2000, 30, 52,54.
70. Ball, M.J.; Lillis, J. E-health: Transforming the physician/patient relationship. Int. J. Med. Inform. 2001, 61, 1-10.
71. Anderson, J.G.; Rainey, M.R.; Eysenbach, G. The impact of CyberHealthcare on the Physician-patient relationship. J. Med. Syst. 2003, 27, 67-84.
72. Omary, Z.; Lupiana, D.; Mtenzi, F.; Wu, B. Analysis of the challenges affecting e-healthcare adoption in developing countries: A case of Tanzania. Int. J. Inf. Stud. 2010, 2, 38-50.
73. Fang, D.; Fang, C.L.; Tsai, B.K.; Lan, L.C.; Hsu, W.S. Relationships among trust in messages, risk perception, and risk reduction preferences based upon avian influenza in Taiwan. Int. J. Environ. Res. Public Health 2012, 9, 2742-2757.