Skip to main content

The Adoption and Use of Tethered Electronic Personal Health Records for Health Management

  • Chapter
  • First Online:

Part of the book series: Innovation, Technology, and Knowledge Management ((ITKM))

Abstract

Information Technology becomes a crucial part of the health-care system and it is getting more attention worldwide. Health IT includes well-known systems that have transformed the health sector such as Electronic Health Records (EHR), Electronic Medical Records (EMR), and Electronic Personal Health Records (ePHR). ePHR aims at enabling patients to take more active role in their care by giving them the ability to access their health records in a secure and safe environment. ePHR allows greater patient-provider engagement. The provider’s adoption rate of the ePHR as a tool to connect with patients and to enable them to have access to their records is increasing at an accelerated rate. However, the patient’s ePHR adoption rate remains low. In the USA, the Office of the National Coordinator for Health Information Technology (ONC) reports an increase in the number of office-based physicians’ and hospitals’ adoption of the EHR. The number of office-based physicians adopting EHR increased from 17% in 2008 to 58% as of 2015. Similarly, it shows that the nonfederal acute care hospitals with certified EHR rate increased from 9% in 2008 to 84% as of 2015 [1]. Despite the efforts to encourage the health-care providers’ adoption of certified EHR and ePHR, the adoption rate by patients remains below expectations [2]. This rate is expected to increases due to the wide attention and efforts led by governments and health-care providers to engage patients in their care. The forecasts of future ePHR adoption are expecting 75% of adults to adopt and use ePHR by 2020 [3]. More attention is needed to improve the patient’s adoption of ePHR.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Office of National Coordinator for Health Information Technology. (2018). Justification of estimates for appropriations committee: Fiscal year 2018. Department of Health and Human Services, Office of the National Coordinator for Health Information Technology.

    Google Scholar 

  2. Laugesen, J., & Hassanein, K. (2017). Adoption of personal health records by chronic disease patients: A research model and an empirical study. Computers in Human Behavior, 66, 256–272.

    Article  Google Scholar 

  3. Ford, E. W., Hesse, B. W., & Huerta, T. R. (2016). Personal health record use in the United States: Forecasting future adoption levels. Journal of Medical Internet Research, 18(3), e73.

    Article  Google Scholar 

  4. Connecting for Health. (2003, July 1). The personal health working group final report. Markle Foundation [Online]. Retrieved November 12, 2017, from http://www.providersedge.com/ehdocs/ehr_articles/The_Personal_Health_Working_Group_Final_Report.pdf

  5. Irizarry, T., DeVito Dabbs, A., & Curran, C. R. (2015). Patient portals and patient engagement: A state of the science review. Journal of Medical Internet Research, 17(6), e148.

    Article  Google Scholar 

  6. PatientEngagementHIT. (2017, February 17). How do patient portals and personal health records differ? PatientEngagementHIT [Online]. Retrieved December 20, 2017, from https://patientengagementhit.com/features/how-do-patient-portals-and-personal-health-records-differ

  7. The U.S. Centers for Medicare & Medicaid Services. (2012, March 26). Electronic health records [Online]. Retrieved December 20, 2017, from https://www.cms.gov/Medicare/E-Health/EHealthRecords/index.html

  8. HealthIt.gov. The benefits of electronic health records (EHRs) [Online]. Retrieved July 27, 2017, from https://www.healthit.gov/providers-professionals/benefits-electronic-health-records-ehrs

  9. Roehrs, A., da Costa, C. A., Righi, R. R., & de Oliveira, K. S. F. (2017). Personal health records: A systematic literature review. Journal of Medical Internet Research, 19(1), e13.

    Article  Google Scholar 

  10. AHIMA Personal Health Record Practice Council. (2006). Helping consumers select PHRs: Questions and considerations for navigating an emerging market. Journal of AHIMA, 77(10), 50–59.

    Google Scholar 

  11. 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.

    Article  Google Scholar 

  12. Rockville, M. D., Maurer, M., Dardess, P., Carman, K. L., Frazier, K., & Smeeding, L. (2012). Guide to patient and family engagement: Environmental scan report. Rockville, MD: Agency for Healthcare Research and Quality.

    Google Scholar 

  13. Richardson, W., Berwick, D., & Bisgard, J. (2001). Crossing the quality chasm: A new health system for the 21st century. Washington, DC: Institute of Medicine.

    Google Scholar 

  14. Washington, L. (2014). Enabling consumer and patient engagement with health information. Journal of AHIMA, 85(2), 56–59.

    Google Scholar 

  15. Pagliari, C., Detmer, D., & Singleton, P. (2007). Electronic personal health records. In Emergence and implications for the UK. London: The Nuffield Trust.

    Google Scholar 

  16. The U.S. Centers for Medicare & Medicaid Services. (2017, December 07). National health expenditure data [Online]. Retrieved December 21, 2017, from https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/NationalHealthAccountsHistorical.html

  17. HIMSS. (2009, July 02). HIMSS summary of ARRA. HIMSS [Online]. Retrieved November 14, 2017, from http://www.himss.org/himss-summary-arra

  18. Procop, G. W., Yerian, L. M., Wyllie, R., Harrison, A. M., & Kottke-Marchant, K. (2014). Duplicate laboratory test reduction using a clinical decision support tool. American Journal of Clinical Pathology, 141(5), 718–723.

    Article  Google Scholar 

  19. Geyer, S. (2016, April 29). Patient portals helping increase revenue, decrease costs. Healthcare IT News [Online]. Retrieved December 21, 2017, from http://www.healthcareitnews.com/news/patient-portals-helping-increase-revenue-decrease-costs

  20. Emont, S. (2011). Measuring the impact of patient portals: What the literature tells us. Oakland, CA: California HealthCare Foundation.

    Google Scholar 

  21. Liederman, E. M., Lee, J. C., Baquero, V. H., & Seites, P. G. (2005). The impact of patient-physician web messaging on provider productivity. Journal of Healthcare Information Management, 19(2), 81–86.

    Google Scholar 

  22. Kaelber, D., & Pan, E. C. (2008). The value of personal health record (PHR) systems. AMIA Annual Symposium Proceedings, 2008, 343–347.

    Google Scholar 

  23. Griffin, A., Skinner, A., Thornhill, J., & Weinberger, M. (2016). Patient Portals. Applied Clinical Informatics, 7(2), 489–501.

    Article  Google Scholar 

  24. Wright, A., Feblowitz, J., Samal, L., McCoy, A. B., & Sittig, D. F. (2014). The Medicare electronic health record incentive program: Provider performance on core and menu measures. Health Services Research, 49(1 Pt 2), 325–346.

    Article  Google Scholar 

  25. Wade-Vuturo, A. E., Mayberry, L. S., & Osborn, C. Y. (2013). Secure messaging and diabetes management: Experiences and perspectives of patient portal users. Journal of the American Medical Informatics Association, 20(3), 519–525.

    Article  Google Scholar 

  26. Trends in individuals use of health IT: 2012–2014 [Online]. Retrieved November 03, 2017, from http://dashboard.healthit.gov/quickstats/pages/FIG-Individuals-Health-IT-Use.php

  27. Goldzweig, C. L., et al. (2013). Electronic patient portals: Evidence on health outcomes, satisfaction, efficiency, and attitudes: A systematic review. Annals of Internal Medicine, 159(10), 677–687.

    Article  Google Scholar 

  28. Chaudhry, B., et al. (2006). Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine, 144(10), 742–752.

    Article  Google Scholar 

  29. Ammenwerth, E., Schnell-Inderst, P., & Hoerbst, A. (2012). The impact of electronic patient portals on patient care: A systematic review of controlled trials. Journal of Medical Internet Research, 14(6), e162.

    Article  Google Scholar 

  30. Jamal, A., McKenzie, K., & Clark, M. (2009). The impact of health information technology on the quality of medical and health care: A systematic review. The HIM Journal, 38(3), 26–37.

    Article  Google Scholar 

  31. HIMSS. (2015, September 01). ONC health IT dashboard. HIMSS [Online]. Retrieved August 02, 2017, from http://www.himss.org/onc-health-it-dashboard

  32. Caligtan, C. A., & Dykes, P. C. (2011). Electronic health records and personal health records. Seminars in Oncology Nursing, 27(3), 218–228.

    Article  Google Scholar 

  33. Health IT quick stats [Online]. Retrieved November 03, 2017, from https://dashboard.healthit.gov/quickstats/quickstats.php

  34. Office-based physician electronic health record adoption [Online]. Retrieved November 03, 2017, from https://dashboard.healthit.gov/quickstats/pages/physician-ehr-adoption-trends.php

  35. Office-based physician electronic patient engagement capabilities [Online]. Retrieved November 06, 2017, from https://dashboard.healthit.gov/quickstats/pages/physicians-view-download-transmit-secure-messaging-patient-engagement.php

  36. Physician electronic exchange of patient health information, 2014 [Online]. Retrieved November 06, 2017, from https://dashboard.healthit.gov/evaluations/data-briefs/physician-electronic-exchange-patient-health-information.php

  37. Percent of hospitals, by type, that possess certified health IT [Online]. Retrieved November 03, 2017, from https://dashboard.healthit.gov/quickstats/pages/certified-electronic-health-record-technology-in-hospitals.php

  38. Hospital EHR adoption [Online]. Retrieved November 03, 2017, from https://dashboard.healthit.gov/quickstats/pages/FIG-Hospitals-Receiving-Payments-for-MU-and-Adoption.php

  39. U.S. hospital adoption of patient engagement functionalities [Online]. Retrieved November 06, 2017, from https://dashboard.healthit.gov/quickstats/pages/FIG-Hospital-Adoption-of-Patient-Engagement-Functionalities.php

  40. Kruse, C. S., Argueta, D. A., Lopez, L., & Nair, A. (2015). Patient and provider attitudes toward the use of patient portals for the management of chronic disease: A systematic review. Journal of Medical Internet Research, 17(2), e40.

    Article  Google Scholar 

  41. Vance, B., Tomblin, B., Studney, J., & Coustasse, A. (2015). Benefits and barriers for adoption of personal health records. Paper presented at the 2015 Business and Health Administration Association Annual Conference, at the 51st Annual Midwest Business Administration Association International Conference, Chicago, IL.

    Google Scholar 

  42. Witry, M. J., Doucette, W. R., Daly, J. M., Levy, B. T., & Chrischilles, E. A. (2010). Family physician perceptions of personal health records. Perspectives in Health Information Management, 7, 1d.

    Google Scholar 

  43. CarriónSeñor, I., Fernández-Alemán, J. L., & Toval, A. (2012). Are personal health records safe? A review of free web-accessible personal health record privacy policies. Journal of Medical Internet Research, 14(4), e114.

    Article  Google Scholar 

  44. Kahn, J. S., Aulakh, V., & Bosworth, A. (2009). What it takes: Characteristics of the ideal personal health record. Health Affairs, 28(2), 369–376.

    Article  Google Scholar 

  45. Council on Clinical Information Technology. (2009). Using personal health records to improve the quality of health Care for Children. Pediatrics, 124(1), 403–409.

    Article  Google Scholar 

  46. Kahn, J. S., et al. (2010). Personal health records in a public hospital: Experience at the HIV/AIDS clinic at San Francisco general hospital. Journal of the American Medical Informatics Association, 17(2), 224–228.

    Article  Google Scholar 

  47. Dontje, K., Corser, W. D., & Holzman, G. (2014). Understanding patient perceptions of the electronic personal health record. The Journal for Nurse Practitioners, 10(10), 824–828.

    Article  Google Scholar 

  48. Kim, K., & Nahm, E. (2012). Benefits of and barriers to the use of personal health records (PHR) for health management among adults. Online Journal of Nursing Informatics, 16(3), 1–9.

    Google Scholar 

  49. Lober, W., et al. (2006). Barriers to the use of a personal health record by an elderly population. American Medical Informatics Association Annual Symposium Proceedings, 2006, 514–518.

    Google Scholar 

  50. Yau, G. L., Williams, A. S., & Brown, J. B. (2011). Family physicians’ perspectives on personal health records: Qualitative study. Canadian Family Physician, 57(5), e178–e184.

    Google Scholar 

  51. Nazi, K. M. (2013). The personal health record paradox: Health care professionals’ perspectives and the information ecology of personal health record systems in organizational and clinical settings. Journal of Medical Internet Research, 15(4), e70.

    Article  Google Scholar 

  52. Miller, D. P., Jr., Latulipe, C., Melius, K. A., Quandt, S. A., & Arcury, T. A. (2016). Primary care providers’ views of patient portals: Interview study of perceived benefits and consequences. Journal of Medical Internet Research, 18(1), e8.

    Article  Google Scholar 

  53. Vydra, T. P., Cuaresma, E., Kretovics, M., & Bose-Brill, S. (2015). Diffusion and use of tethered personal health Records in Primary Care. Perspectives in Health Information Management, 12(Spring), 1c.

    Google Scholar 

  54. Menon, A. S., Greenwald, S., Ma, T. J., Kooshesh, S., & Duriseti, R. (2012). Patient and physician willingness to use personal health records in the emergency department. Western Journal of Emergency Medicine, 13(2), 172–175.

    Article  Google Scholar 

  55. Keplinger, L. E., et al. (2013). Patient portal implementation: Resident and attending physician attitudes. Family Medicine, 45(5), 335–340.

    Google Scholar 

  56. Antoun, J. (2016). Electronic mail communication between physicians and patients: A review of challenges and opportunities. Family Practice, 33(2), 121–126.

    Article  Google Scholar 

  57. Bishop, T. F., Press, M. J., Mendelsohn, J. L., & Casalino, L. P. (2013). Electronic communication improves access, but barriers to its widespread adoption remain. Health Affairs (Millwood), 32(8), 1361–1367.

    Article  Google Scholar 

  58. Chung, M.-H., Ho, C.-H., & Wen, H.-C. (2016). Predicting intentions of nurses to adopt patient personal health records: A structural equation modeling approach. Computer Methods and Programs in Biomedicine, 136, 45–53.

    Article  Google Scholar 

  59. Gartrell, K., Trinkoff, A. M., Storr, C. L., Wilson, M. L., & Gurses, A. P. (2015). Testing the electronic personal health record acceptance model by nurses for managing their own health. Applied Clinical Informatics, 6(2), 224–247.

    Article  Google Scholar 

  60. Ratzan, S. C., & Parker, R. M. (2000). National library of medicine current bibliographies in medicine: Health literacy. Bethesda, MD: National Institutes of Health, US Department of Health and Human Services.

    Google Scholar 

  61. Vernon, J. A., Trujillo, A., Rosenbaum, S. J., & DeBuono, B. (2007). Low health literacy: Implications for national health policy. Washington, DC: George Washington University School of Public Health and Health Services.

    Google Scholar 

  62. Norman, C. D., & Skinner, H. A. (2006). eHEALS: The eHealth literacy scale. Journal of Medical Internet Research, 8(4), e27.

    Article  Google Scholar 

  63. Noblin, A. M., Wan, T. T. H., & Fottler, M. (2012). The impact of health literacy on a Patient’s decision to adopt a personal health record. Perspectives in Health Information Management, 9, 1–13.

    Google Scholar 

  64. Jensen, J. D., King, A. J., Davis, L. S. A., & Guntzviller, L. M. (2010). Utilization of internet technology by low-income adults: The role of health literacy, health numeracy, and computer assistance. Journal of Aging and Health, 22(6), 804–826.

    Article  Google Scholar 

  65. Monkman, H., & Kushniruk, A. (2013). Applying usability methods to identify health literacy issues: An example using a personal health record. Studies in Health Technology and Informatics, 183, 179–185.

    Google Scholar 

  66. Cortelyou-Ward, K., Williamsa, C., & Noblin, A. (2012). Using the personal health record to improve health literacy: A social capital perspective. International Journal of Business, Humanities, and Technology, 2(3), 7–15.

    Google Scholar 

  67. Segall, N., et al. (2011). Usability evaluation of a personal health record. American Medical Informatics Association Annual Symposium Proceedings, 2011, 1233–1242.

    Google Scholar 

  68. Sakaguchi-Tang, D. K., Bosold, A. L., Choi, Y. K., & Turner, A. M. (2017). Patient portal use and experience among older adults: Systematic review. JMIR Medical Informatics, 5(4), e38.

    Article  Google Scholar 

  69. Liu, L. S., & Hayes, G. R. (2010). Heuristic evaluation of personal health records systems. In International Workshop on Interactive Systems in Healthcare (p. 101).

    Google Scholar 

  70. Sheehan, B., & Lucero, R. J. (2015). Initial usability and feasibility evaluation of a personal health record-based self-management system for older adults. EGEMS (Wash DC), 3(2), 1152.

    Google Scholar 

  71. Price, M., Bellwood, P., & Davies, I. (2015). Using usability evaluation to inform Alberta’s personal health record design. Studies in Health Technology and Informatics, 208, 314–318.

    Google Scholar 

  72. HIMSS. (2014, September 01). The business case for interoperability and health information exchange. HIMSS [Online]. Retrieved December 08, 2017, from http://www.himss.org/business-case-interoperability-and-health-information-exchange

  73. HIMSS. (2016, May 12). Introductory glossary and brochure: Health information exchange. HIMSS [Online]. Retrieved December 08, 2017, from http://www.himss.org/introductory-glossary-and-brochure-health-information-exchange

  74. What is HIE (health information exchange)? Providers & professionals. HealthIT.gov [Online]. Retrieved December 08, 2017, from https://www.healthit.gov/providers-professionals/health-information-exchange/what-hie

  75. Fontaine, P., Ross, S. E., Zink, T., & Schilling, L. M. (2010). Systematic review of health information exchange in primary care practices. Journal of American Board of Family Medicine, 23(5), 655–670.

    Article  Google Scholar 

  76. Health information exchange governance. Providers & professionals. HealthIT.gov [Online]. Retrieved December 08, 2017, from https://www.healthit.gov/providers-professionals/hie-governance

  77. Fricton, J. R., & Davies, D. (2008). Personal health records to improve health information exchange and patient safety. In K. Henriksen, J. B. Battles, M. A. Keyes, & M. L. Grady (Eds.), Advances in patient safety: New directions and alternative approaches. Vol. 4: Technology and medication safety. Rockville, MD: Agency for Healthcare Research and Quality (US).

    Google Scholar 

  78. Wen, K.-Y., Kreps, G., Zhu, F., & Miller, S. (2010). 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. Journal of Medical Internet Research, 12(4), e73.

    Article  Google Scholar 

  79. 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.

    Article  Google Scholar 

  80. HIMSS. (2017, August 17). Interoperability and health information exchange. HIMSS [Online]. Retrieved December 08, 2017, from http://www.himss.org/library/interoperability-health-information-exchange

  81. 2016 report to congress on health information technology progress [Online]. Retrieved December 05, 2017, from https://dashboard.healthit.gov/report-to-congress/2016-report-congress-examining-hitech-era-future-health-information-technology.php

  82. Archer, N., Fevrier-Thomas, U., Lokker, C., McKibbon, A., Willison, D., & Straus, S. (2010). Electronic Personal Health Records: An Environmental Scan. Working Paper No. 34. McMaster Business Research Centre (MeRC), McMaster University: Hamilton, Canada

    Google Scholar 

  83. Norman, C. D., & Skinner, H. A. (2006). eHealth literacy: Essential skills for consumer health in a networked world. Journal of Medical Internet Research, 8(2), e9.

    Article  Google Scholar 

  84. Saranto, K., & Leino-Kilpi, H. (1997). Computer literacy in nursing; developing the information technology syllabus in nursing education. Journal of Advanced Nursing, 25(2), 377–385.

    Article  Google Scholar 

  85. Day, K., & Gu, Y. (2012). Influencing factors for adopting personal health record (PHR). Studies in Health Technology and Informatics, 178, 39–44.

    Google Scholar 

  86. Koivunen, M., Hätönen, H., & Välimäki, M. (2008). Barriers and facilitators influencing the implementation of an interactive internet-portal application for patient education in psychiatric hospitals. Patient Education and Counseling, 70(3), 412–419.

    Article  Google Scholar 

  87. Cocosila, M., & Archer, N. (2012). Consumer perceptions of the adoption of electronic personal health records: An empirical investigation. In 18th Americas Conference on Information Systems.

    Google Scholar 

  88. Kim, E., Mayani, A., Modi, S., Kim, Y., & Soh, C. (2005). Evaluation of patient-centered electronic health record to overcome digital divide. Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1, 593–596.

    Google Scholar 

  89. Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236.

    Article  Google Scholar 

  90. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

    Article  Google Scholar 

  91. Wells, S., Rozenblum, R., Park, A., Dunn, M., & Bates, D. W. (2015). Organizational strategies for promoting patient and provider uptake of personal health records. Journal of the American Medical Informatics Association, 22(1), 213–222.

    Article  Google Scholar 

  92. Jha, A. K., et al. (2009). Use of electronic health records in U.S. hospitals. New England Journal of Medicine, 360(16), 1628–1638.

    Article  Google Scholar 

  93. Urowitz, S., et al. (2012). Improving diabetes management with a patient portal: Qualitative study of a diabetes self-management portal. Journal of Medical Internet Research, 14(6), e158.

    Article  Google Scholar 

  94. Fiks, A. G., et al. (2016). Adoption of a portal for the primary care management of pediatric asthma: A mixed-methods implementation study. Journal of Medical Internet Research, 18(6), e172.

    Article  Google Scholar 

  95. Pai, H. H., Lau, F., Barnett, J., & Jones, S. (2013). Meeting the health information needs of prostate cancer patients using personal health records. Current Oncology, 20(6), e561–e569.

    Article  Google Scholar 

  96. Clark, S. J., Costello, L. E., Gebremariam, A., & Dombkowski, K. J. (2015). A national survey of parent perspectives on use of patient portals for their Children’s health care. Applied Clinical Informatics, 6(1), 110–119.

    Article  Google Scholar 

  97. Zettel-Watson, L., & Tsukerman, D. (2016). Adoption of online health management tools among healthy older adults: An exploratory study. Health Informatics Journal, 22(2), 171–183.

    Article  Google Scholar 

  98. Yamin, C. K., et al. (2011). The digital divide in adoption and use of a personal health record. Archives of Internal Medicine, 171(6), 568–574.

    Article  Google Scholar 

  99. Goel, M. S., Brown, T. L., Williams, A., Cooper, A. J., Hasnain-Wynia, R., & Baker, D. W. (2011). Patient reported barriers to enrolling in a patient portal. Journal of the American Medical Informatics Association, 18(Suppl 1), i8–i12.

    Article  Google Scholar 

  100. Turner, A. M., et al. (2015). Use of patient portals for personal health information management: The older adult perspective. American Medical Informatics Association Annual Symposium Proceedings, 2015, 1234–1241.

    Google Scholar 

  101. Czaja, S. J., Zarcadoolas, C., Vaughon, W. L., Lee, C. C., Rockoff, M. L., & Levy, J. (2015). The usability of electronic personal health record systems for an underserved adult population. Human Factors, 57(3), 491–506.

    Article  Google Scholar 

  102. Ong, C.-S., Lai, J.-Y., & Wang, Y.-S. (2004). Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies. Information & Management, 41(6), 795–804.

    Article  Google Scholar 

  103. Ma, C.-C., Kuo, K.-M., & Alexander, J. W. (2016). A survey-based study of factors that motivate nurses to protect the privacy of electronic medical records. BMC Medical Informatics and Decision Making, 16, 13.

    Article  Google Scholar 

  104. Nazi, K. M. (2010). Veterans’ voices: Use of the American customer satisfaction index (ACSI) survey to identify my HealtheVet personal health record users’ characteristics, needs, and preferences. Journal of the American Medical Informatics Association, 17(2), 203–211.

    Article  Google Scholar 

  105. Hogan, T. P., Wakefield, B., Nazi, K. M., Houston, T. K., & Weaver, F. M. (2011). Promoting access through complementary eHealth technologies: Recommendations for VA’s home Telehealth and personal health record programs. Journal of General Internal Medicine, 26(2), 628.

    Article  Google Scholar 

  106. Home - My HealtheVet [Online]. Retrieved December 24, 2017, from https://www.myhealth.va.gov/mhv-portal-web/home

  107. Woods, S. S., et al. (2013). Patient experiences with full electronic access to health records and clinical notes through the my HealtheVet personal health record pilot: Qualitative study. Journal of Medical Internet Research, 15(3), e65.

    Article  Google Scholar 

  108. Nazi, K. M., Hogan, T. P., McInnes, D. K., Woods, S. S., & Graham, G. (2013). Evaluating patient access to electronic health records: Results from a survey of veterans. Medical Care, 51(3 Suppl 1), S52–S56.

    Article  Google Scholar 

  109. Shimada, S. L., et al. (2014). Personal health record reach in the veterans health administration: A cross-sectional analysis. Journal of Medical Internet Research, 16(12), e272.

    Article  Google Scholar 

  110. Altuwaijri, M. M. (2008). Electronic-health in Saudi Arabia. Just around the corner? Saudi Medical Journal, 29(2), 171–178.

    Google Scholar 

  111. Alsulame, K., Khalifa, M., & Househ, M. (2016). E-health status in Saudi Arabia: A review of current literature. Health Policy and Technology, 5(2), 204–210.

    Article  Google Scholar 

  112. El Mahalli, A. (2015). Adoption and barriers to adoption of electronic health records by nurses in three governmental hospitals in Eastern Province, Saudi Arabia. Perspectives in Health Information Management, 12, 1f.

    Google Scholar 

  113. Khudair, A. A. (2008). Electronic health records: Saudi physicians’ perspective. In 5th IET International Seminar on Appropriate Healthcare Technologies for Developing Countries (AHT 2008).

    Google Scholar 

  114. Al-Sahan, A., & Saddik, B. (2016). Perceived challenges for adopting the personal health record (PHR) at Ministry of National Guard Health Affairs (MNGHA)- Riyadh. Online Journal of Public Health Informatics, 8(3), e205.

    Google Scholar 

  115. Alsanea, N. (2012). The future of health care delivery and the experience of a tertiary Care Center in Saudi Arabia. Annals of Saudi Medicine, 32(2), 117–120.

    Article  Google Scholar 

  116. Health IT rules and regulations. Policy researchers & implementers. HealthIT.gov [Online]. Retrieved November 15, 2017, from https://www.healthit.gov/policy-researchers-implementers/health-it-legislation-and-regulations

  117. Baird, A., Raghu, T. S., & Tulledge-Scheitel, S. M. (2012). The role of policy in the prevention of personal health record (PHR) market failure. Journal of Information Technology & Politics, 9(2), 117–132.

    Article  Google Scholar 

  118. Summary of H.R. 1 (111th): American recovery and reinvestment act of 2009. GovTrack.us [Online]. Retrieved November 15, 2017, from https://www.govtrack.us/congress/bills/111/hr1/summary#libraryofcongress

  119. O. for C. Rights (OCR). (2009, November 20). Summary of the HIPAA security rule. HHS.gov [Online]. Retrieved November 15, 2017, from https://www.hhs.gov/hipaa/for-professionals/security/laws-regulations/index.html

  120. C. for Medicare. (2017, September 14). Overview [Online]. Retrieved November 16, 2017, from https://www.cms.gov/About-CMS/Agency-Information/History/index.html

  121. Centers for Medicare and Medicaid Services. USAGov [Online]. Retrieved November 16, 2017, from https://www.usa.gov/federal-agencies/centers-for-medicare-and-medicaid-services

  122. Centers for Medicare & Medicaid Services (CMS). EHR incentive program measures [Online]. Retrieved November 16, 2017, from https://dashboard.healthit.gov/datadashboard/documentation/cms-ehr-incentive-program-measures-documentation.php

  123. Information about EHR incentives and EHR certification. Providers & professionals. HealthIT.gov [Online]. November 16, 2017, from https://www.healthit.gov/providers-professionals/ehr-incentives-certification

  124. Centers for Medicare & Medicaid Services. (2010). Medicare & Medicaid EHR Incentive Program Meaningful Use Stage 1 Requirements Overview. PowerPoint slides]. Retrieved from CMS Website https://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/downloads/MU_Stage1_ReqOverview.pdf

  125. C. for Medicare. (2017, November 14). Overview [Online]. Retrieved November 16, 2017, from https://www.cms.gov/Regulations-and-Guidance/Legislation/EHRIncentivePrograms/index.html?redirect=/EHRIncentivePrograms/15_Eligibility.asp

  126. Ahern, D. K., Woods, S. S., Lightowler, M. C., Finley, S. W., & Houston, T. K. (2011). Promise of and potential for patient-facing technologies to enable meaningful use. American Journal of Preventive Medicine, 40(5 Suppl 2), S162–S172.

    Article  Google Scholar 

  127. HIMSS. (2014, December 01). Using patient portals to achieve meaningful use (EP edition). HIMSS [Online]. Retrieved August 02, 2017, from http://www.himss.org/using-patient-portals-achieve-meaningful-use-ep-edition

  128. Federal health IT strategic plan: 2015–2020 [Online]. Retrieved December 05, 2017, from https://dashboard.healthit.gov/strategic-plan/federal-health-it-strategic-plan-2015-2020.php

  129. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.

    Article  Google Scholar 

  130. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

    Google Scholar 

  131. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.

    Article  Google Scholar 

  132. Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(1), 50.

    Google Scholar 

  133. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

    Article  Google Scholar 

  134. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  135. Dillon, A., & Morris, M. G. (1996). User acceptance of information technology: Theories and models. In M. Williams (Ed.), Annual Review of Information Science and Technology. Medford, NJ: Information Today.

    Google Scholar 

  136. Holden, R. J., & Karsh, B.-T. (2010). The technology acceptance model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159.

    Article  Google Scholar 

  137. Yarbrough, A. K., & Smith, T. B. (2007). Technology acceptance among physicians: A new take on TAM. Medical Care Research and Review, 64(6), 650–672.

    Article  Google Scholar 

  138. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

    Article  Google Scholar 

  139. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control (pp. 11–39). Berlin: Springer.

    Chapter  Google Scholar 

  140. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191.

    Article  Google Scholar 

  141. Hsieh, P.-J. (2015). Physicians’ acceptance of electronic medical records exchange: An extension of the decomposed TPB model with institutional trust and perceived risk. International Journal of Medical Informatics, 84(1), 1–14.

    Article  Google Scholar 

  142. Emani, S., et al. (2016). Awareness and use of the after-visit summary through a patient portal: Evaluation of patient characteristics and an application of the theory of planned behavior. Journal of Medical Internet Research, 18(4), e77.

    Article  Google Scholar 

  143. McGill, T. J., & Klobas, J. E. (2009). A task–technology fit view of learning management system impact. Computers & Education, 52(2), 496–508.

    Article  Google Scholar 

  144. Dishaw, M. T., & Strong, D. M. (1998). Supporting software maintenance with software engineering tools: A computed task–technology fit analysis. Journal of Systems and Software, 44(2), 107–120.

    Article  Google Scholar 

  145. Gebauer, J., Shaw, M. J., & Gribbins, M. L. (2010). Task-technology fit for mobile information systems. Journal of Information Technology, 25(3), 259–272.

    Article  Google Scholar 

  146. Laugesen, J. D. (2013). Adoption of Electronic Personal Health Records by Chronic Disease Patients: Integrating Protection Motivation Theory and Task-Technology Fit, Doctoral dissertation, McMaster University, London.

    Google Scholar 

  147. Chen, P.-S., Yu, C.-J., & Chen, G. Y.-H. (2015). Applying task-technology fit model to the healthcare sector: A case study of hospitals’ computed tomography patient-referral mechanism. Journal of Medical Systems, 39(8), 80.

    Article  Google Scholar 

  148. Lin, T.-C. (2014). Mobile nursing information system utilization: The task-technology fit perspective. Computers, Informatics, Nursing, 32(3), 129–137.

    Article  Google Scholar 

  149. Cady, R. G., & Finkelstein, S. M. (2014). Task-technology fit of video telehealth for nurses in an outpatient clinic setting. Telemedicine Journal and E-Health, 20(7), 633–639.

    Article  Google Scholar 

  150. Willis, M. J., El-Gayar, O. F., & Deokar, A. V. (2009). Evaluating task-technology fit and user performance for an electronic health record system. In AMCIS 2009 Proceedings (p. 327).

    Google Scholar 

  151. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.

    Article  Google Scholar 

  152. Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767.

    Article  Google Scholar 

  153. AlAwadhi, S., & Morris, A. (2008). The use of the UTAUT model in the adoption of E-Government services in Kuwait. In Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008) (p. 219).

    Chapter  Google Scholar 

  154. Marchewka, J. T., Liu, C., & Kostiwa, K. (2007). An application of the UTAUT model for understanding student perceptions using course management software. Communications of the IIMA, 7(2), 93.

    Google Scholar 

  155. Min, Q., Ji, S., & Qu, G. (2008). Mobile commerce user acceptance study in China: A revised UTAUT model. Tsinghua Science and Technology, 13(3), 257–264.

    Article  Google Scholar 

  156. Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model. International Journal of Medical Informatics, 78(6), 404–416.

    Article  Google Scholar 

  157. Tavares, J., & Oliveira, T. (2016). Electronic health record patient portal adoption by health care consumers: An acceptance model and survey. Journal of Medical Internet Research, 18(3), e49.

    Article  Google Scholar 

  158. Venkatesh, V., Sykes, T. A., & Zhang, X. (2011). ‘Just what the doctor ordered’: A revised UTAUT for EMR system adoption and use by doctors. In 2011 44th Hawaii International Conference on System Sciences (pp. 1–10).

    Google Scholar 

  159. Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). New York/London: Free Press/Collier Macmillan.

    Google Scholar 

  160. Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, EM-29(1), 28–45.

    Article  Google Scholar 

  161. Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.

    Article  Google Scholar 

  162. Agarwal, R., & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences, 28(3), 557–582.

    Article  Google Scholar 

  163. Emani, S., et al. (2012). Patient perceptions of a personal health record: A test of the diffusion of innovation model. Journal of Medical Internet Research, 14(6), e150.

    Article  Google Scholar 

  164. Zhang, X., Yu, P., Yan, J., & Ton A M Spil, I. (2015). Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: A case study in a primary care clinic. BMC Health Services Research, 15, 71.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tuğrul Daim .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Alzahrani, S., Daim, T. (2019). The Adoption and Use of Tethered Electronic Personal Health Records for Health Management. In: Daim, T., Dabić, M., Başoğlu, N., Lavoie, J.R., Galli, B.J. (eds) R&D Management in the Knowledge Era. Innovation, Technology, and Knowledge Management. Springer, Cham. https://doi.org/10.1007/978-3-030-15409-7_4

Download citation

Publish with us

Policies and ethics