Published on 02.03.16 in Vol 18, No 3 (2016): March
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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Hennemann S, Beutel ME, Zwerenz R. Drivers and Barriers to Acceptance of Web-Based Aftercare of Patients in Inpatient Routine Care: A Cross-Sectional Survey. Journal of Medical Internet Research 2016;18(12):e337
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Emani S, Peters E, Desai S, Karson AS, Lipsitz SR, LaRocca R, Stone J, Suric V, Wald JS, Wheeler A, Williams DH, Bates DW. Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory. BMJ Health & Care Informatics 2018;25(3):149
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Tao D, Wang T, Wang T, Zhang T, Zhang X, Qu X. A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. Computers in Human Behavior 2020;104:106147
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Enaizan O, Zaidan AA, Alwi NHM, Zaidan BB, Alsalem MA, Albahri OS, Albahri AS. Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis. Health and Technology 2020;10(3):795
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Huang J, Chen Y, Landis JR, Mahoney KB. Difference Between Users and Nonusers of a Patient Portal in Health Behaviors and Outcomes: Retrospective Cohort Study. Journal of Medical Internet Research 2019;21(10):e13146
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. eHealth in Egypt: The demand-side perspective of implementing electronic health records. Telecommunications Policy 2019;43(6):576
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Uc BM, Castillo-Sánchez G, Marques G, Arambarri J, de la Torre-Díez I. An Experience of Electronic Health Records Implementation in a Mexican Region. Journal of Medical Systems 2020;44(6)
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Meier P, Beinke JH, Fitte C, Schulte to Brinke J, Teuteberg F. Generating design knowledge for blockchain-based access control to personal health records. Information Systems and e-Business Management 2021;19(1):13
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Mandhana DM, Glowacki EM, Sun M. Promoting Patient Portals: An Application of Social Cognitive Theory to Post-Adoption Patient Portal Use. Health Communication 2021;36(14):1990
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Salgado T, Tavares J, Oliveira T. Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model Development. JMIR mHealth and uHealth 2020;8(7):e17588
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Razmak J, Bélanger C. Using the technology acceptance model to predict patient attitude toward personal health records in regional communities. Information Technology & People 2018;31(2):306
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Chauhan S, Jaiswal M. A meta-analysis of e-health applications acceptance. Journal of Enterprise Information Management 2017;30(2):295
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Magalhães D, Martins J, Branco F, Au‐Yong‐Oliveira M, Gonçalves R, Moreira F. A proposal for a 360° information system model for private health care organizations. Expert Systems 2020;37(5)
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Dhiman N, Arora N, Dogra N, Gupta A. Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective. Journal of Indian Business Research 2019;12(3):363
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Hsieh MH, Shih F, Sheu S, Wang S, Shih F. Using an informatics education strategy to resolve the dilemma of teaching transplantation in medical institutions. Medicine 2018;97(43):e12809
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Sadoughi F, Khodaveisi T, Ahmadi H. The used theories for the adoption of electronic health record: a systematic literature review. Health and Technology 2019;9(4):383
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Abd-alrazaq AA, Bewick BM, Farragher T, Gardner P. Factors that affect the use of electronic personal health records among patients: A systematic review. International Journal of Medical Informatics 2019;126:164
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Tarver WL, Menser T, Hesse BW, Johnson TJ, Beckjord E, Ford EW, Huerta TR. Growth Dynamics of Patient-Provider Internet Communication: Trend Analysis Using the Health Information National Trends Survey (2003 to 2013). Journal of Medical Internet Research 2018;20(3):e109
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Koivumäki T, Pekkarinen S, Lappi M, Väisänen J, Juntunen J, Pikkarainen M. Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study. Journal of Medical Internet Research 2017;19(12):e429
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Chuang L, Chen P, Chen Y. The Determinant Factors of Travelers’ Choices for Pro-Environment Behavioral Intention-Integration Theory of Planned Behavior, Unified Theory of Acceptance, and Use of Technology 2 and Sustainability Values. Sustainability 2018;10(6):1869
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Apolinário-Hagen J, Kemper J, Stürmer C. Public Acceptability of E-Mental Health Treatment Services for Psychological Problems: A Scoping Review. JMIR Mental Health 2017;4(2):e10
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Tavares J, Oliveira T. New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey. Journal of Medical Internet Research 2018;20(11):e11032
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Schladen MM, Ljungberg IH, Underwood JA, Groah SL. Exploration of the Personal Health Record as a Tool for Spinal Cord Injury Health Self-Management and Coordination of Care. Topics in Spinal Cord Injury Rehabilitation 2017;23(3):218
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Baudier P, Kondrateva G, Ammi C. The future of Telemedicine Cabin? The case of the French students’ acceptability. Futures 2020;122:102595
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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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Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023
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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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Hoogenbosch B, Postma J, de Man-van Ginkel JM, Tiemessen NA, van Delden JJ, van Os-Medendorp H. Use and the Users of a Patient Portal: Cross-Sectional Study. Journal of Medical Internet Research 2018;20(9):e262
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Bell K, Warnick E, Nicholson K, Ulcoq S, Kim SJ, Schroeder GD, Vaccaro A. Patient Adoption and Utilization of a Web-Based and Mobile-Based Portal for Collecting Outcomes After Elective Orthopedic Surgery. American Journal of Medical Quality 2018;33(6):649
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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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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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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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Wildenbos GA, Jaspers M, Peute L. The equity paradox: older patients' participation in patient portal development. International Journal for Quality in Health Care 2018;
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Crameri K, Maher L, Van Dam P, Prior S. Personal electronic healthcare records: What influences consumers to engage with their clinical data online? A literature review. Health Information Management Journal 2022;51(1):3
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Wong JIS, Steitz BD, Rosenbloom ST. Characterizing the impact of health literacy, computer ability, patient demographics, and portal usage on patient satisfaction with a patient portal. JAMIA Open 2019;2(4):456
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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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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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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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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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Vreugdenhil MM, Kool RB, van Boven K, Assendelft WJ, Kremer JA. Use and Effects of Patient Access to Medical Records in General Practice Through a Personal Health Record in the Netherlands: Protocol for a Mixed-Methods Study. JMIR Research Protocols 2018;7(9):e10193
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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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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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Kim JW, Torous J, Chan S, Gipson SYT. Developing a Digitally Informed Curriculum in Psychiatry Education and Clinical Practice. Academic Psychiatry 2018;42(6):782
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Mukhopadhyay S, Basak R, Carpenter D, Reithel BJ. Patient use of online medical records: an application of technology acceptance framework. Information & Computer Security 2019;28(1):97
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Abd-Alrazaq A, Bewick BM, Farragher T, Gardner P. Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(7):e12373
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Distler V, Lallemand C, Koenig V. How Acceptable Is This? How User Experience Factors Can Broaden our Understanding of The Acceptance of Privacy Trade-offs. Computers in Human Behavior 2020;106:106227
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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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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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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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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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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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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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. 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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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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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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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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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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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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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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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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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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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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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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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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Moqbel M, Hewitt B, Nah FF, McLean RM. Sustaining Patient Portal Continuous Use Intention and Enhancing Deep Structure Usage: Cognitive Dissonance Effects of Health Professional Encouragement and Security Concerns. Information Systems Frontiers 2022;24(5):1483
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Kinney AP, Sankaranarayanan B. Effects of Patient Portal Use on Patient Satisfaction: Survey and Partial Least Squares Analysis. Journal of Medical Internet Research 2021;23(8):e19820
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Yousef CC, Salgado TM, Farooq A, Burnett K, McClelland LE, Thomas A, Alenazi AO, Abu Esba LC, AlAzmi A, Alhameed AF, Hattan A, Elgadi S, Almekhloof S, AlShammary MA, Alanezi NA, Alhamdan HS, Khoshhal S, DeShazo JP. Predicting Patients’ Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis. JMIR Medical Informatics 2021;9(8):e30214
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. Predicting future use intention of fitness apps among fitness app users in the United Kingdom: the role of health consciousness. International Journal of Sports Marketing and Sponsorship 2022;23(2):369
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. Assessing patient readiness for a patient portal implementation in the UAE. Journal of Science and Technology Policy Management 2022;
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Ngusie HS, Kassie SY, Chereka AA, Enyew EB. Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase. BMC Health Services Research 2022;22(1)
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Peixoto MR, Ferreira JB, Oliveira L. Drivers for Teleconsultation Acceptance in Brazil: Patients’ Perspective during the COVID-19 Pandemic. Revista de Administração Contemporânea 2022;26(2)
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Wiles LK, Hibbert PD, Stephens JH, Molloy C, Maher CG, Buchbinder R, Moseley GL, O'Sullivan PB, Lin I, Briggs AM, Slater H, Harris IA, Jan S, Dwyer A, Fallon K, Hogg M, Fried K, Needs C, Casey P, Dabestani R, Kay D, Braithwaite J, Runciman WB. What Constitutes “Appropriate Care” for Low Back Pain?. Spine 2022;47(12):879
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Crouch J, Winters K, Zhang L, Stewart MW. Telehealth during the pandemic: Patient perceptions and policy implications. Journal of Nursing Scholarship 2023;55(1):141
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Aydin G, Kumru S. Paving the way for increased e-health record use: elaborating intentions of Gen-Z. Health Systems 2023;12(3):281
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Guetz B, Bidmon S. The Impact of Social Influence on the Intention to Use Physician Rating Websites: Moderated Mediation Analysis Using a Mixed Methods Approach. Journal of Medical Internet Research 2022;24(11):e37505
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Bile Hassan I, Murad MAA, El-Shekeil I, Liu J. Extending the UTAUT2 Model with a Privacy Calculus Model to Enhance the Adoption of a Health Information Application in Malaysia. Informatics 2022;9(2):31
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Faida EW, Supriyanto S, Haksama S, Markam H, Ali A. The Acceptance and Use of Electronic Medical Records in Developing Countries within the Unified Theory of Acceptance and Use of Technology Framework. Open Access Macedonian Journal of Medical Sciences 2022;10(E):326
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Yousef CC, Salgado TM, Farooq A, Burnett K, McClelland LE, Abu Esba LC, Alhamdan HS, Khoshhal S, Aldossary IF, Alyas OA, DeShazo JP. Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study. Journal of Medical Internet Research 2021;23(10):e31582
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Chang HH, Wong KH, Hung CR. Health Beliefs and Social Support Related to Anxiety about Electronic Health Record Systems: A Patient Visit Survey (Preprint). JMIR Formative Research 2021;
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Griesser A, Bidmon S. A Process Related View on the Usage of Electronic Health Records from the Patients’ Perspective: A Systematic Review. Journal of Medical Systems 2022;47(1)
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Dederichs M, Nitsch FJ, Apolinário-Hagen J. Piloting an Innovative Concept of e–Mental Health and mHealth Workshops With Medical Students Using a Participatory Co-design Approach and App Prototyping: Case Study. JMIR Medical Education 2022;8(1):e32017
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5069):
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Magalhães D, Martins J, Gonçalves R, Branco F, Oliveira M, Moreira F. Recent Advances in Information Systems and Technologies. 2017. Chapter 27:264
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Alzahrani S, Daim T. R&D Management in the Knowledge Era. 2019. Chapter 4:95
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Triberti S, Brivio E. P5 eHealth: An Agenda for the Health Technologies of the Future. 2020. Chapter 9:155
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Alshoumr B, Yu P. Encyclopedia of Gerontology and Population Aging. 2021. Chapter 454-2:1
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Alzahrani S, Daim T. R&D Management in the Knowledge Era. 2019. Chapter 15:373
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. Encyclopedia of Gerontology and Population Aging. 2019. Chapter 454-1:1
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Alshoumr B, Yu P. Encyclopedia of Gerontology and Population Aging. 2021. Chapter 454:3731
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Sharma P, Kumar T, Tyagi SS. International Conference on Innovative Computing and Communications. 2023. Chapter 32:419
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