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Citing this Article

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Published on 02.03.16 in Vol 18, No 3 (2016): March

This paper is in the following e-collection/theme issue:

Works citing "Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5069):

(note that this is only a small subset of citations)

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  25. Li J, Liu X, Ma L, Zhang W. Users’ intention to continue using social fitness-tracking apps: expectation confirmation theory and social comparison theory perspective. Informatics for Health and Social Care 2019;44(3):298
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  27. Abd-Alrazaq A, Alalwan AA, McMillan B, Bewick BM, Househ M, AL-Zyadat AT. Patients’ Adoption of Electronic Personal Health Records in England: Secondary Data Analysis. Journal of Medical Internet Research 2020;22(10):e17499
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  30. McAlearney AS, Gaughan A, MacEwan SR, Fareed N, Huerta TR. Improving Acceptance of Inpatient Portals: Patients' and Care Team Members' Perspectives. Telemedicine and e-Health 2020;26(3):310
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  31. Cantin-Garside KD, Nussbaum MA, White SW, Kim S, Kim CD, Fortes DMG, Valdez RS. Understanding the experiences of self-injurious behavior in autism spectrum disorder: Implications for monitoring technology design. Journal of the American Medical Informatics Association 2021;28(2):303
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  32. Garvin LA, Simon SR. Prioritizing Measures of Digital Patient Engagement: A Delphi Expert Panel Study. Journal of Medical Internet Research 2017;19(5):e182
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  36. Baudier P, Ammi C, Deboeuf-Rouchon M. Smart home: Highly-educated students' acceptance. Technological Forecasting and Social Change 2020;153:119355
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  37. Tavares J, Oliveira T. Electronic Health Record Portal Adoption: a cross country analysis. BMC Medical Informatics and Decision Making 2017;17(1)
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  38. Wu T, Deng Z, Chen Z, Zhang D, Wang R, Wu X. Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(6):e13693
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  39. Begnaud AL, Joseph AM, Lindgren BR. Randomized Electronic Promotion of Lung Cancer Screening: A Pilot. JCO Clinical Cancer Informatics 2017;(1):1
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  41. Zhao Y, Li K, Zhang L. A meta-analysis of online health adoption and the moderating effect of economic development level. International Journal of Medical Informatics 2019;127:68
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  42. Silver RA, Subramaniam C, Stylianou A. The Impact of Portal Satisfaction on Portal Use and Health-Seeking Behavior: Structural Equation Analysis. Journal of Medical Internet Research 2020;22(3):e16260
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  47. Metting E, Schrage AJ, Kocks JW, Sanderman R, van der Molen T. Assessing the Needs and Perspectives of Patients With Asthma and Chronic Obstructive Pulmonary Disease on Patient Web Portals: Focus Group Study. JMIR Formative Research 2018;2(2):e22
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  48. Pham Q, Cafazzo JA, Feifer A. Adoption, Acceptability, and Effectiveness of a Mobile Health App for Personalized Prostate Cancer Survivorship Care: Protocol for a Realist Case Study of the Ned App. JMIR Research Protocols 2017;6(10):e197
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  49. LeRouge CM, Hah H, Deckard GJ, Jiang H. Designing for the Co-Use of Consumer Health Technology in Self-Management of Adolescent Overweight and Obesity: Mixed Methods Qualitative Study. JMIR mHealth and uHealth 2020;8(6):e18391
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  50. Yousef CC, Thomas A, Alenazi AO, Elgadi S, Abu Esba LC, AlAzmi A, Alhameed AF, Hattan A, Almekhloof S, AlShammary MA, Alanezi NA, Alhamdan HS, Eldegeir M, Abulezz R, Khoshhal S, Masala CG, Ahmed O. Adoption of a Personal Health Record in the Digital Age: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(10):e22913
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  51. Mathai N, McGill T, Toohey D. Factors Influencing Consumer Adoption of Electronic Health Records. Journal of Computer Information Systems 2022;62(2):267
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  52. Lentferink A, Noordzij ML, Burgler A, Klaassen R, Derks Y, Oldenhuis H, Velthuijsen H, van Gemert-Pijnen L. On the receptivity of employees to just-in-time self-tracking and eCoaching for stress management: a mixed-methods approach. Behaviour & Information Technology 2022;41(7):1398
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  53. . Analysis of the use of the UTAUT model for modeling the information technology acceptance process. Journal of Computer Sciences Institute 2020;17:417
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  54. Lee Y, Tsai H, Ruangkanjanases A. The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality. International Journal of Environmental Research and Public Health 2020;17(21):8287
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  55. Lee M, Kang D, Yoon J, Shim S, Kim I, Oh D, Shin S, Hesse BW, Cho J, Weston KL. The difference in knowledge and attitudes of using mobile health applications between actual user and non-user among adults aged 50 and older. PLOS ONE 2020;15(10):e0241350
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  56. Xiong J, Zuo M. Adoption of the mobile platform of medical and senior care in China: An empirical examination of perceived value (Preprint). JMIR Aging 2020;
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  57. Samadbeik M, Garavand A, Kordi M, Abtin A, Asadi H. Factors affecting the acceptance of mobile health by medical sciences students: A cross-sectional study. Iranian Journal of Nursing and Midwifery Research 2020;25(6):476
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  58. Alsahafi YA, Gay V, Khwaji AA. Factors affecting the acceptance of integrated electronic personal health records in Saudi Arabia: The impact of e-health literacy. Health Information Management Journal 2022;51(2):98
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  59. Abd-Alrazaq A, Safi Z, Bewick BM, Househ M, Gardner PH. Patients’ Perspectives About Factors Affecting Their Use of Electronic Personal Health Records in England: Qualitative Analysis. Journal of Medical Internet Research 2021;23(1):e17500
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  60. Li D, Hu Y, Pfaff H, Wang L, Deng L, Lu C, Xia S, Cheng S, Zhu X, Wu X. Determinants of Patients’ Intention to Use the Online Inquiry Services Provided by Internet Hospitals: Empirical Evidence From China. Journal of Medical Internet Research 2020;22(10):e22716
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  61. Enaizan O, Eneizan B, Almaaitah M, Al-Radaideh AT, Saleh AM. Effects of privacy and security on the acceptance and usage of EMR: The mediating role of trust on the basis of multiple perspectives. Informatics in Medicine Unlocked 2020;21:100450
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  62. Dimitrovski T, Bath P, Ketikidis P, Lazuras L. Factors affecting General Practitioners’ Readiness to Accept and Use an Electronic Health Record System: A National Unified Theory of Acceptance and Use of Technology’ Survey in the Republic of North Macedonia (Preprint). JMIR Medical Informatics 2020;
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  63. Tsai W, Wu Y, Cheng C, Kuo M, Chang Y, Hu F, Sun C, Chang C, Chan T, Chen C, Lee C, Chu C. A Technology Acceptance Model for Deploying Masks to Combat the COVID-19 Pandemic in Taiwan (My Health Bank): Web-Based Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(4):e27069
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  64. Kisekka V, Goel S, Williams K. Disambiguating Between Privacy and Security in the Context of Health Care: New Insights on the Determinants of Health Technologies Use. Cyberpsychology, Behavior, and Social Networking 2021;24(9):617
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