595
Views
19
CrossRef citations to date
0
Altmetric
Articles

Exploring Patients’ Use Intention of Personal Health Record Systems: Implications for Design

, &

References

  • Adams, D., Nelson, R., & Todd, P. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227–247. Retrieved from http://www.jstor.org/stable/249577
  • Adler-Milstein, J., Davis Bu, D., Pan, E., Walker, J., Kendrick, D., Hook, J. M., … Middleton, B. (2007). The cost of information technology-enabled diabetes management. Disease Management, 10, 115–128.
  • Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000). Research report: The evolving relationship between general and specific computer self-efficacy – An empirical assessment. Information Systems Research, 11, 418–430.
  • Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior (pp. 278). Englewood Cliffs, NJ: Prentice Hall.
  • Allen, M., Iezzoni, L. I., Huang, A., Huang, L., & Leveille, S. G. (2008). Improving patient-clinician communication about chronic conditions: Description of an internet-based nurse E-coach intervention. Nursing Research, 57(2), 107–112.
  • André, B., Inger Ringdal, G., Loge, J. H., Rannestad, T., Laerum, H., & Kaasa, S. (2008). Experiences with the implementation of computerized tools in health care units: A review article. International Journal of Human–Computer Interaction, 24(8), 753–775.
  • Archer, N., Fevrier-Thomas, U., Lokker, C., McKibbon, K. A., & Straus, S. E. (2011). Personal health records: A scoping review. Journal of the American Medical Informatics Association, 18(4), 515–522.
  • Atkinson, R. D., & Castro, D. D. (2008). Digital quality of life: Understanding the personal and social benefits of the information technology revolution. Information Technology and Innovation Foundation. Retrieved from http://ssrn.com/abstract=1284425.
  • Avis, N. E., McKinlay, J. B., & Smith, K. W. (1990). Is cardiovascular risk factor knowledge sufficient to influence behavior? American Journal of Preventive Medicine, 6, 137–144.
  • Bakken, S., Holzemer, W. L., Brown, M.-A., Powell-Cope, G. M., Turner, J. G., Inouye, J., … Corless, I. B. (2000). Relationships between perception of engagement with healthcare provider and demographic characteristics, health status, and adherence to therapeutic regimen in persons with HIV/AIDS. AIDS Patient Care STDS, 14(4), 189–197.
  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory (pp. 390–453). Upper Saddle River, NJ: Prentice-Hall.
  • Bates, D. W., & Bitton, A. (2010). The future of health information technology in the patient-centered medical home. Health Affairs, 29(4), 614–621.
  • Bettman, J. R., & Park, C. W. (1980). Effects of prior knowledge and experience and phase of the choice process on consumer decision processes: A protocol analysis. Journal of Consumer Research, 7, 234–248.
  • Blumenthal, D. (2009). Stimulating the adoption of health information technology. New England Journal of Medicine, 360(15), 1477–1479.
  • Boslaugh, S., & Watters, P. (2008). Statistics in a nutshell: A desktop quick reference (in a nutshell (O’Reilly)). Farnham, Surrey, UK: O’Reilly Media, Inc.
  • Brennan, P. F. (2009, July 1–4). Personal health information management systems. In K. Saranto, P. F. Brennan, & A. Casey (Eds.), Proceedings of the Post-Congress Workshop of the 10th International Nursing Informatics Congress –- NI 2009 (pp. 31–40). Vanajanlinna, Finland: Kuopio University Library.
  • Brucks, M. (1985). The effects of product class knowledge on information search behavior. Journal of Consumer Research in Consumer Behavior, 12, 1–16.
  • Bruner, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of Business Research, 58, 553–558. doi:10.1016/j.jbusres.2003.08.002
  • Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumenthal, D. (2011). The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs, 30(3), 464–471.
  • Chau, P. Y. K., & Hu, P. J. (2002b). Examining a model of information technology acceptance by individual professionals: An exploratory study. Journal of Management Information Systems, 18(4), 191–229.
  • Chau, P. Y. K., & Hu, P. J.-H. (2002a). Investigating healthcare professionals’ decisions to accept telemedicine technology: An empirical test of competing theories. Information & Management, 39(4), 297–311.
  • Chen, Y.-H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management & Data Systems, 107(1), 21–36.
  • Chismar, W. G., & Wiley-Patton, S. (2003). Does the extended technology acceptance model apply to physicians. Proceedings of the 36th Annual Hawaii International Conference on System Sciences, 2003. doi:10.1109/HICSS.2003.1174354
  • Civan, A., Skeels, M. M., Stolyar, A., & Pratt, W. (2006). Personal health information management: Consumers’ perspectives. Presented at AMIA Annual Symposium Proceedings (pp. 156–160), Washington, DC.
  • Creswell, J. W., & Clark, V. L. P. (2007). Designing and conducting mixed methods research. Los Angeles, CA: Wiley Online Library
  • Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
  • Dabbs, A. D. V., Myers, B. A., Mc Curry, K. R., Dunbar-Jacob, J., Hawkins, R. P., Begey, A., & Dew, M. A. (2009). User-centered design and interactive health technologies for patients. CIN: Computers, Informatics, Nursing, 27(3), 175–183.
  • Dahl, Y., Alsos, O. A., & Svanæs, D. (2010). Fidelity considerations for simulation-based usability assessments of mobile ICT for hospitals. International Journal of Human–Computer Interaction, 26(5), 445–476.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
  • Demiris, G., Afrin, L. B., Speedie, S., Courtney, K. L., Sondhi, M., Vimarlund, V., … Lynch, C. (2008). Patient-centered applications: Use of information technology to promote disease management and wellness. A white paper by the AMIA knowledge in motion working group. Journal of the American Medical Informatics Association, 15(1), 8–13.
  • Detmer, D., Bloomrosen, M., Raymond, B., & Tang, P. (2008). Integrated personal health records: Transformative tools for consumer-centric care. BMC Medical Informatics and Decision Making, 8(1), 1.
  • Doukas, C., Pliakas, T., & Maglogiannis, I. (2010, August). Mobile healthcare information management utilizing cloud computing and Android OS. Presented at 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology (pp. 1037–1040), Buenos Aires, Argentina.
  • Eldar, R. (2005). Teamwork and the quality of care. Croatian Medical Journal, 46(1), 157–160.
  • Eng, T. R. (2001). The eHealth landscape: A terrain map of emerging information and communication technologies in health and healthcare. Princeton, NJ: Robert Wood Johnson Foundation.
  • Eysenbach, G. (2000). Recent advances: Consumer health informatics. BMJ, 320, 1713–1716.
  • Gefen, D., & Keil, M. (1998). The impact of developer responsiveness on perceptions of usefulness and ease of use: An extension of the technology acceptance model. ACM Sigmis Database, 29(2), 35–49.
  • Graham, A. L., Cobb, N. K., Raymond, L., Sill, S., & Young, J. (2007). Effectiveness of an Internet-based worksite smoking cessation intervention at 12 months. Journal of Occupational and Environmental Medicine, 49(8), 821–828.
  • Gritzalisa, D., & Lambrinoudakisb, C. (2004). A security architecture for interconnecting health information systems. International Journal of Medical Informatics, 73(3), 305–309.
  • Haggstrom, D. A., Saleem, J. J., Russ, A. L., Jones, J., Russell, S. A., & Chumbler, N. R. (2011). Lessons learned from usability testing of the VA’s personal health record. Journal of the American Medical Informatics Association, 18(Supplement 1), i13–i17.
  • Halamka, J. D., Mandl, K. D., & Tang, P. C. (2008). Early experiences with personal health records. Journal of the American Medical Informatics Association, 15(1), 1–7.
  • Hawn, C. (2009). Take two aspirin and tweet me in the morning: How Twitter, Facebook, and other social media are reshaping healthcare. Health Affairs, 28(2), 361–368.
  • Hertzum, M., Clemmensen, T., Hornbæk, K., Kumar, J., Shi, Q., & Yammiyavar, P. (2007, July). Usability constructs: A cross-cultural study of how users and developers experience their use of information systems. In N. Aykin (Ed.), International Conference on Usability and Internationalization (pp. 317–326). Berlin, Heidelberg, Germany: Springer.
  • Holden, R. J., & Karsh, B.-T. (2010). The technology acceptance model: Its past and its future in healthcare. Journal of Biomedical Informatics, 43(1), 159–172.
  • Hosmer, Jr., D. W., & Lemeshow, S. (2004). Applied logistic regression (2nd ed.). New York, NY: John Wiley & Sons.
  • Hourcade, J. P., Chrischilles, E. A., Gryzlak, B. M., Hanson, B. M., Dunbar, D. E., Eichmann, D. A., & Lorentzen, R. R. (2011). Design lessons for older adult personal health records software from older adults. In K. Reinecke & A. Bernstein (Eds.), Universal access in human–computer interaction. Users diversity (pp. 176–185). Berlin Heidelberg, Germany: Springer.
  • Hsu, C.-L., & Lin, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65–74.
  • Huba, N., & Zhang, Y. (2012). Designing patient-centered personal health records (PHRs): Healthcare professionals’ perspective on patient-generated data. Journal of Medical Systems, 36(6), 3893–3905.
  • Kahn, J. S., Aulakh, V., & Bosworth, A. (2009). What it takes: Characteristics of the ideal personal health record. Health Affairs, 28(2), 369–376.
  • Kellermann, A. L., & Jones, S. S. (2013). What it will take to achieve the as-yet-unfulfilled promises of health information technology. Health Affairs, 32(1), 63–68.
  • Kharrazi, H., Chisholm, R., VanNasdale, D., & Thompson, B. (2012). Mobile personal health records: An evaluation of features and functionality. International Journal of Medical Informatics, 81(9), 579–593.
  • Kharrazi, H., & Mehrabi, S. (2010). Meaningful use of personal health records. Presented at AMA-IEEE Medical Technology: Conference on Individualized Healthcare, Washington, DC.
  • Kim, M. I., & Johnson, K. B. (2002). Personal health records: Evaluation of functionality and utility. Journal of the American Medical Informatics Association, 9(2), 171–180.
  • Lafky, D. B., & Horan, T. A. (2011). Personal health records: Consumer attitudes toward privacy and security of their personal health information. Health Informatics Journal, 17(1), 63–71.
  • Lansky, D. (2003). Patient engagement and patient decision-making. Washington, DC: U.S. Health Care: FACT – Foundation for Accountability.
  • Lieberman, D. A., & Brown, S. J. (1995). Designing interactive video games for children’s health education. In K. Morgan, R. M. Satava, H. B. Sieburg, R. Mattheus, & J. P. Christensen (Eds.), Interactive technology and the new paradigm for healthcare (pp. 201–210). Amsterdam, The Netherlands: IOS Press and Ohmsha.
  • Liu, L., & Ma, Q. (2006). Perceived system performance: A test of an extended technology acceptance model. SIGMIS Database, 37, 51–59. doi:10.1145/1161345.1161354
  • Louise, K. S., & Graham, P. P. (2007). ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists. International Journal of Medical Informatics, 76, S212–S221.
  • Moen, A. (2007). Personal health information management. In W. Jones & J. Teevan (Eds.), Personal information management (pp. 221–233). Seattle, WA: University of Washington Press.
  • Moen, A., & Brennan, P. F. (2005). Health@ Home: The work of health information management in the household (HIMH): Implications for consumer health informatics (CHI) innovations. Journal of the American Medical Informatics Association, 12(6), 648–656.
  • Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2, 192–222.
  • Moorman, C., & Matulich, E. (1993). A model of consumers’ preventive health behaviors: The role of health motivation and health ability. Journal of Consumer Research, 20(2), 208–228.
  • Mun, Y. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human–Computer Studies, 59(4), 431–449.
  • Mun, Y. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view. Information & Management, 43(3), 350–363.
  • Nielsen, J. (1994). Usability engineering. Atlanta, GA: Elsevier.
  • Nunnally, J. C., Bernstein, I. H., & Berge, J. M. T. (1967). Psychometric theory (Vol. 226). New York, NY: McGraw-Hill.
  • Or, C. K., & Karsh, B.-T. (2009). A systematic review of patient acceptance of consumer health information technology. Journal of the American Medical Informatics Association, 16(4), 550–560.
  • Ozok, A. A., Gurses, A. P., Wu, H., Nelson, M., Moen, D., & Wei, J. (2009). Usability and user acceptance for personal health records: A perspective from healthcare citizens. In A. A. Ozok & P. Zaphiris (Eds.), Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) (Vol. 5621, pp. 690–699). Berlin Heidelberg, Germany: LNCS.
  • Ozok, A. A., Wu, H., Garrido, M., Pronovost, P. J., & Gurses, A. P. (2014). Usability and perceived usefulness of personal health records for preventive health care: A case study focusing on patients’ and primary care providers’ perspectives. Applied Ergonomics, 45(3), 613–628.
  • Paget, L., Han, P., Nedza, S., Kurtz, P., Racine, E., Russell, S., & Von Kohorn, I. (2011). Patient-clinician communication: Basic principles and expectations. Washington, DC: IOM Working Group Report, Institute of Medicine.
  • Pare, G., Sicotte, C., & Jacques, H. (2006). The effects of creating psychological ownership on physicians’ acceptance of clinical information systems. Journal of the American Medical Informatics Association, 13(2), 197–205.
  • Park, C. W., & Mittal, B. (1985). A theory of involvement in consumer behavior: Problems and issues. Research in Consumer Behavior, 1(3), 201–232.
  • Patel, V. N., Abramson, E., Edwards, A. M., Cheung, M. A., Dhopeshwarkar, R. V., & Kaushal, R. (2011). Consumer attitudes toward personal health records in a beacon community. The American Journal of Managed Care, 17(4), e104–120.
  • Patel, V. N., Dhopeshwarkar, R. V., Edwards, A., Barrón, Y., Sparenborg, J., & Kaushal, R. (2012). Consumer support for health information exchange and personal health records: A regional health information organization survey. Journal of Medical Systems, 36(3), 1043–1052.
  • Patton, M. Q. (1990). Qualitative evaluation and research methods. Thousand Oaks, CA: SAGE Publications, Inc.
  • Pennathur, P. R., Thompson, D., Abernathy, III, J. H., Martinez, E. A., Pronovost, P. J., Kim, G. R., … Gurses, A. P. (2013). Technologies in the wild (TiW): Human factors implications for patient safety in the cardiovascular operating room. Ergonomics, 56(2), 205–219.
  • Pierce, R., & Ball, L. (2009). Perceptions that may affect teachers’ intention to use technology in secondary mathematics classes. Educational Studies in Mathematics, 71(3), 299–317.
  • Piras, E. M., & Zanutto, A. (2010). Prescriptions, x-rays and grocery lists. Designing a Personal Health Record to support (the invisible work of) health information management in the household. Computer Supported Cooperative Work (CSCW), 19(6), 585–613.
  • Pratt, W., Unruh, K., Civan, A., & Skeels, M. M. (2006). Personal health information management. Communications of the ACM, 49(1), 51–55.
  • Priebe, S., McCABE, R. O. S. E. M. A. R. I. E., Bullenkamp, J., Hansson, L., Lauber, C., Martinez-Leal, R., … Van den Brink, R. (2007). Structured patient clinician communication and 1-year outcome in community mental healthcare: Cluster randomised controlled trial. The British Journal of Psychiatry, 191(5), 420–426.
  • Reti, S. R., Feldman, H. J., & Safran, C. (2009). Governance for personal health records. Journal of the American Medical Informatics Association, 16, 14–17.
  • Rittenhouse, D. R., & Shortell, S. M. (2009). The patient-centered medical home: Will it stand the test of health reform? JAMA, 301(19), 2038–2040.
  • Saegert, J., & Young, E. A. (1983). Nutrition knowledge and health food consumption. Nutrition and Behavior, 1(April), 103–113.
  • Schnipper, J. L., Gandhi, T. K., Wald, J. S., Grant, R. W., Poon, E. G., Volk, L. A., … Middleton, B. (2012). Effects of an online personal health record on medication accuracy and safety: A cluster-randomized trial. Journal of the American Medical Informatics Association, 19(5), 728–734.
  • Seaman, C. B. (1999). Qualitative methods in empirical studies of software engineering. IEEE Transactions on Software Engineering, 25(4), 557–572.
  • Shneiderman, B. (1993). Designing the user interface. Designing the user interface, by Ben Shneiderman (2nd ed., p. 1). Reading, MA: Addison-Wesley. ISBN: 0201572869.
  • Sittig, D. F., Middleton, B., & Hazlehurst, B. L. (1999). Personalized health care record information on the web. In Quality healthcare information on the ’Net ‘99. New York, NY. http://www.informatics-review.com/thoughts/personal.htm
  • Small, M. L. (2011). How to conduct a mixed methods study: Recent trends in a rapidly growing literature. Annual Review of Sociology, 37(1), 57–86.
  • Spil, T., & Klein, R. (2015). The personal health future. Health Policy and Technology, 4(2), 131–136.
  • Steele, R., & Lo, A. (2009). Future personal health records as a foundation for computational health. Lecture Notes in Computer Science, 5593, 719–733.
  • Storni, C. (2010). Multiple forms of appropriation in self-monitoring technology: Reflections on the role of evaluation in future self-care. International Journal of Human–Computer Interaction, 26(5), 537–561.
  • Taha, J., Czaja, S. J., Sharit, J., & Morrow, D. G. (2013). Factors affecting usage of a personal health record (PHR) to manage health. Psychology and Aging, 28(4), 1124–1139.
  • Takayama, L. (2009, March). Making sense of agentic objects and teleoperation: In-the-moment and reflective perspectives. Presented at Human–Robot Interaction (HRI), 2009 4th ACM/IEEE International Conference on (pp. 239–240), La Jolla, CA.
  • Tang, P. C., Ash, J. S., Bates, D. W., Overhage, J. M., & Sands, D. Z. (2006). Personal health records: Definitions, benefits, and strategies for overcoming barriers to adoption. Journal of the American Medical Informatics Association, 13(2), 121–126.
  • Tenforde, M., Nowacki, A., Jain, A., & Hickner, J. (2012). The association between personal health record use and diabetes quality measures. Journal of General Internal Medicine, 27(4), 420–424.
  • Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432–2440.
  • Usher, W. (2009). General practitioners’ understanding pertaining to reliability, interactive and usability components associated with health websites. Behaviour & Information Technology, 28(1), 39–44.
  • Van Schaik, P., Bettany-Saltikov, J. A., & Warren, J. G. (2002). Clinical acceptance of a low-cost portable system for postural assessment. Behaviour & Information Technology, 21, 47–57. doi:10.1080/01449290110107236
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
  • Venkatesh, V., Morris, M. G., & Davis, G. B. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
  • Wang, M., Lau, C., Frederic, A., Matsen, I., & Kim, Y. (2004). Personal health information management system and its application in referral management. IEEE Transactions on Information Technology in Biomedicine, 8(3), 287–297.
  • Weingart, S. N., Rind, D., Tofias, Z., & Sands, D. Z. (2006). Who uses the patient Internet portal? The PatientSite experience. Journal of the American Medical Informatics Association, 13, 91–95. doi:10.1197/jamia.M1833
  • Win, K. T. (2005). A review of security of electronic health records. Health Information Management Journal, 34(1), 13–18.
  • Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102.
  • Wu, J.-H., Shen, W.-S., Lin, L.-M., Greenes, R. A., & Bates, D. W. (2008). Testing the technology acceptance model for evaluating healthcare professionals’ intention to use an adverse event reporting system. International Journal for Quality in Health Care, 20(2), 123–129.
  • Wu, J.-H., Wang, S.-C., & Lin, L.-M. (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics, 76, 66–77. doi:10.1016/j.ijmedinf.2006.06.006
  • Yang, Y., & Asan, O. (2016). Designing patient-facing health information technologies for the outpatient settings: A literature review. Journal of Innovation in Health Informatics, 23(1), 441–449.
  • Yen, P.-Y., & Bakken, S. (2012). Review of health information technology usability study methodologies. Journal of the American Medical Informatics Association, 19(3), 413–422.
  • Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view. Information & Management, 43 (3), 350–363.
  • Zeng, Q., Kogan, S., Ash, N., & Greenes, R. A. (2002). Characteristics of consumer terminology for health information retrieval. Methods of Information in Medicine, 41(4), 289–298.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.