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

Participatory Medicine & E-Patients (773)

Published on in Vol 14, No 5 (2012): Sep-Oct

Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

Authors of this article:

Jeongeun Kim1, 2, 3 ;   Hyeoun-Ae Park1, 2, 3 Author Orcid Image
Article Authors Cited by (291) Tweetations (11) Metrics

Journals

  1. Shin D, Lee S, Hwang Y. How do credibility and utility play in the user experience of health informatics services?. Computers in Human Behavior 2017;67:292 View
  2. Ye T, Xue J, He M, Gu J, Lin H, Xu B, Cheng Y. Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(10):e14316 View
  3. Tavares J, Oliveira T. Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey. Journal of Medical Internet Research 2016;18(3):e49 View
  4. Tang J, James L, Howell M, Tong A, Wong G. eHealth Interventions for Solid Organ Transplant Recipients: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Transplantation 2020;104(8):e224 View
  5. 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 View
  6. Richardson B, Benoit B, Rutledge K, Dol J, Misener R, Latimer M, Smit M, McGrath P, Campbell-Yeo M. The impact of parent-targeted eHealth educational interventions on infant procedural pain management: a systematic review protocol. JBI Database of Systematic Reviews and Implementation Reports 2019;17(8):1589 View
  7. Fox G, Connolly R. Mobile health technology adoption across generations: Narrowing the digital divide. Information Systems Journal 2018;28(6):995 View
  8. Nikayin F, Heikkilä M, de Reuver M, Solaimani S. Workplace primary prevention programmes enabled by information and communication technology. Technological Forecasting and Social Change 2014;89:326 View
  9. Anderberg P, Eivazzadeh S, Berglund J. A Novel Instrument for Measuring Older People’s Attitudes Toward Technology (TechPH): Development and Validation. Journal of Medical Internet Research 2019;21(5):e13951 View
  10. Lee H, Kim J, Kim K. The Effects of Nursing Interventions Utilizing Serious Games That Promote Health Activities on the Health Behaviors of Seniors. Games for Health Journal 2015;4(3):175 View
  11. Ali R, Zhang Z, Bux Soomro M. Smoking-cessation acceptance via mobile health. Human Systems Management 2019;38(3):313 View
  12. Abuhammad S, Khabour O, Alzoubi K. <p>COVID-19 Contact-Tracing Technology: Acceptability and Ethical Issues of Use</p>. Patient Preference and Adherence 2020;Volume 14:1639 View
  13. Salisbury C, O’Cathain A, Thomas C, Edwards L, Montgomery A, Hollinghurst S, Large S, Nicholl J, Pope C, Rogers A, Lewis G, Fahey T, Yardley L, Brownsell S, Dixon P, Drabble S, Esmonde L, Foster A, Garner K, Gaunt D, Horspool K, Man M, Rowsell A, Segar J. An evidence-based approach to the use of telehealth in long-term health conditions: development of an intervention and evaluation through pragmatic randomised controlled trials in patients with depression or raised cardiovascular risk. Programme Grants for Applied Research 2017;5(1):1 View
  14. 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 View
  15. Apolinário-Hagen J, Hennemann S, Fritsche L, Drüge M, Breil B. Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study. JMIR Mental Health 2019;6(11):e15373 View
  16. Kao Y, Nawata K, Huang C. An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers. International Journal of Environmental Research and Public Health 2019;16(18):3227 View
  17. Hauk N, Hüffmeier J, Krumm S. Ready to be a Silver Surfer? A Meta-analysis on the Relationship Between Chronological Age and Technology Acceptance. Computers in Human Behavior 2018;84:304 View
  18. Rajković P, Janković D, Milenković A, Kocić I. ANALYSIS OF THE LEVEL OF USE AND ACCEPTA NCE OF THE MEDICAL INFORMATION SYSTEM IN PRIMARY HEALTH CAR E. Acta Medica Medianae 2018;57(4):122 View
  19. Connor K, Wambach K, Baird M. Descriptive, Qualitative Study of Women Who Use Mobile Health Applications to Obtain Perinatal Health Information. Journal of Obstetric, Gynecologic & Neonatal Nursing 2018;47(6):728 View
  20. 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 View
  21. Gabarron E, Serrano J, Fernandez-Luque L, Wynn R, Schopf T. Randomized trial of a novel game-based appointment system for a university hospital venereology unit: study protocol. BMC Medical Informatics and Decision Making 2015;15(1) View
  22. Middlemass J, Vos J, Siriwardena A. Perceptions on use of home telemonitoring in patients with long term conditions – concordance with the Health Information Technology Acceptance Model: a qualitative collective case study. BMC Medical Informatics and Decision Making 2017;17(1) View
  23. Mooney K, McElnay J, Donnelly R. Paediatricians’ opinions of microneedle-mediated monitoring: a key stage in the translation of microneedle technology from laboratory into clinical practice. Drug Delivery and Translational Research 2015;5(4):346 View
  24. Wu D, Huang W, Zhao P, Li C, Cao B, Wang Y, Stoneking S, Tang W, Luo Z, Wei C, Tucker J. A Crowdsourced Physician Finder Prototype Platform for Men Who Have Sex with Men in China: Qualitative Study of Acceptability and Feasibility. JMIR Public Health and Surveillance 2019;5(4):e13027 View
  25. Frontini R, Sousa P, Dixe M, Ferreira R, Figueiredo M. Designing a mobile app to promote healthy behaviors and prevent obesity: analysis of adolescents’ preferences. Informatics for Health and Social Care 2020;45(3):327 View
  26. Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, Longman J, Barker J, Pit S. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetology & Metabolic Syndrome 2019;11(1) View
  27. Cook N, Winkler S. Acceptance, Usability and Health Applications of Virtual Worlds by Older Adults: A Feasibility Study. JMIR Research Protocols 2016;5(2):e81 View
  28. Crane D, Garnett C, Brown J, West R, Michie S. Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies. Frontiers in Public Health 2017;5 View
  29. Wakefield B, Turvey C, Nazi K, Holman J, Hogan T, Shimada S, Kennedy D. Psychometric Properties of Patient-Facing eHealth Evaluation Measures: Systematic Review and Analysis. Journal of Medical Internet Research 2017;19(10):e346 View
  30. Gow C, Wong S, Lim C. Effect of Output Quality and Result Demonstrability on Generation Y’s Behavioural Intention in Adopting Mobile Health Applications. Asia-Pacific Journal of Management Research and Innovation 2019;15(3):111 View
  31. Pai R, Alathur S. Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy 2019;13(3/4):306 View
  32. de Graaf M, Totté J, van Os-Medendorp H, van Renselaar W, Breugem C, Pasmans S. Treatment of Infantile Hemangioma in Regional Hospitals With eHealth Support: Evaluation of Feasibility and Acceptance by Parents and Doctors. JMIR Research Protocols 2014;3(4):e52 View
  33. Ebert D, Berking M, Cuijpers P, Lehr D, Pörtner M, Baumeister H. Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial. Journal of Affective Disorders 2015;176:9 View
  34. Dou K, Yu P, Deng N, Liu F, Guan Y, Li Z, Ji Y, Du N, Lu X, Duan H. Patients’ Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test. JMIR mHealth and uHealth 2017;5(12):e177 View
  35. Hsiao S, Tseng H. The Impact of the Moderating Effect of Psychological Health Status on Nurse Healthcare Management Information System Usage Intention. Healthcare 2020;8(1):28 View
  36. Tao D, Yuan J, Shao F, Li D, Zhou Q, Qu X. Factors Affecting Consumer Acceptance of an Online Health Information Portal Among Young Internet Users. CIN: Computers, Informatics, Nursing 2018;36(11):530 View
  37. Baumeister H, Nowoczin L, Lin J, Seifferth H, Seufert J, Laubner K, Ebert D. Impact of an acceptance facilitating intervention on diabetes patients’ acceptance of Internet-based interventions for depression: A randomized controlled trial. Diabetes Research and Clinical Practice 2014;105(1):30 View
  38. Zhang L, Jung E, Chen Z. Modeling the Pathway Linking Health Information Seeking to Psychological Well-Being on WeChat. Health Communication 2020;35(9):1101 View
  39. Dias S, Frontinia R, Sousa P. Implementation of a mobile app (TeenPower) to prevent overweight and obesity: Preliminary results regarding lifestyle and usability. Procedia Computer Science 2019;164:581 View
  40. Nadal C, Sas C, Doherty G. Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement. Journal of Medical Internet Research 2020;22(7):e17256 View
  41. Trang S, Trenz M, Weiger W, Tarafdar M, Cheung C. One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps. European Journal of Information Systems 2020;29(4):415 View
  42. Edwards L, Thomas C, Gregory A, Yardley L, O'Cathain A, Montgomery A, Salisbury C. Are People With Chronic Diseases Interested in Using Telehealth? A Cross-Sectional Postal Survey. Journal of Medical Internet Research 2014;16(5):e123 View
  43. Ghaddar S, Vatcheva K, Alvarado S, Mykyta L. Understanding the Intention to Use Telehealth Services in Underserved Hispanic Border Communities: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(9):e21012 View
  44. Tavares J, Goulão A, Oliveira T. Electronic Health Record Portals adoption: Empirical model based on UTAUT2. Informatics for Health and Social Care 2018;43(2):109 View
  45. LeRouge C, Van Slyke C, Seale D, Wright K. Baby Boomers’ Adoption of Consumer Health Technologies: Survey on Readiness and Barriers. Journal of Medical Internet Research 2014;16(9):e200 View
  46. Agudelo-Londoño S. Reflexión sobre la evaluación de impacto en eSalud. «No todo lo que brilla es oro». Trilogía Ciencia Tecnología Sociedad 2020;12(22):103 View
  47. Liu C, Cheng T. Exploring critical factors influencing physicians’ acceptance of mobile electronic medical records based on the dual-factor model: a validation in Taiwan. BMC Medical Informatics and Decision Making 2015;15(1) View
  48. Sterling R, LeRouge C. On-Demand Telemedicine as a Disruptive Health Technology: Qualitative Study Exploring Emerging Business Models and Strategies Among Early Adopter Organizations in the United States. Journal of Medical Internet Research 2019;21(11):e14304 View
  49. Shin D, Biocca F. Health experience model of personal informatics: The case of a quantified self. Computers in Human Behavior 2017;69:62 View
  50. Baumeister H, Seifferth H, Lin J, Nowoczin L, Lüking M, Ebert D. Impact of an Acceptance Facilitating Intervention on Patients’ Acceptance of Internet-based Pain Interventions. The Clinical Journal of Pain 2015;31(6):528 View
  51. Ramírez-Correa P, Ramírez-Rivas C, Alfaro-Pérez J, Melo-Mariano A. Telemedicine Acceptance during the COVID-19 Pandemic: An Empirical Example of Robust Consistent Partial Least Squares Path Modeling. Symmetry 2020;12(10):1593 View
  52. Ammerlaan J, Scholtus L, Drossaert C, van Os-Medendorp H, Prakken B, Kruize A, Bijlsma J. Feasibility of a Website and a Hospital-Based Online Portal for Young Adults With Juvenile Idiopathic Arthritis: Views and Experiences of Patients. JMIR Research Protocols 2015;4(3):e102 View
  53. Huang G, Ren Y. Linking technological functions of fitness mobile apps with continuance usage among Chinese users: Moderating role of exercise self-efficacy. Computers in Human Behavior 2020;103:151 View
  54. Zimmerman M, Shaw G. Health information seeking behaviour: a concept analysis. Health Information & Libraries Journal 2020;37(3):173 View
  55. Chang S, Im E. A path analysis of Internet health information seeking behaviors among older adults. Geriatric Nursing 2014;35(2):137 View
  56. Buitenweg D, van de Mheen D, Grund J, van Oers H, van Nieuwenhuizen C. Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation. JMIR Mental Health 2020;7(12):e19593 View
  57. Langford A, Loeb S. Perceived Patient-Provider Communication Quality and Sociodemographic Factors Associated With Watching Health-Related Videos on YouTube: A Cross-Sectional Analysis. Journal of Medical Internet Research 2019;21(5):e13512 View
  58. Anderson K, Burford O, Emmerton L. App Chronic Disease Checklist: Protocol to Evaluate Mobile Apps for Chronic Disease Self-Management. JMIR Research Protocols 2016;5(4):e204 View
  59. Hussein Z, Oon S, Fikry A. Consumer Attitude: Does It Influencing the Intention to Use mHealth?. Procedia Computer Science 2017;105:340 View
  60. Ahadzadeh A, Pahlevan Sharif S, Sim Ong F. Online health information seeking among women: the moderating role of health consciousness. Online Information Review 2018;42(1):58 View
  61. Duan H, Wang Z, Ji Y, Ma L, Liu F, Chi M, Deng N, An J. Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment. JMIR mHealth and uHealth 2020;8(2):e14466 View
  62. Ali M, Raza S, Qazi W, Puah C. Assessing e-learning system in higher education institutes. Interactive Technology and Smart Education 2018;15(1):59 View
  63. Wei J, Vinnikova A, Lu L, Xu J. Understanding and Predicting the Adoption of Fitness Mobile Apps: Evidence from China. Health Communication 2021;36(8):950 View
  64. Heidarizadeh K, Rassouli M, Manoochehri H, Zagheri Tafreshi M, Kashef Ghorbanpour R. Nurses’ Perception of Challenges in the Use of an Electronic Nursing Documentation System. CIN: Computers, Informatics, Nursing 2017;35(11):599 View
  65. Jeon E, Park H. Factors Affecting Acceptance of Smartphone Application for Management of Obesity. Healthcare Informatics Research 2015;21(2):74 View
  66. Cho J. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 2016;87:75 View
  67. C.C. S, Prathap S. Continuance adoption of mobile-based payments in Covid-19 context: an integrated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications 2020;16(4):351 View
  68. Ali R, Zhang Z, Soomro M. Smoking-Cessation Acceptance Via Mobile Health and Quick Response Code Technologies: Empirical Evidence of a Pilot Study from China and Pakistan. Current Psychology 2021;40(12):6085 View
  69. Medlock S, Eslami S, Askari M, Arts D, Sent D, de Rooij S, Abu-Hanna A. Health Information–Seeking Behavior of Seniors Who Use the Internet: A Survey. Journal of Medical Internet Research 2015;17(1):e10 View
  70. Marco-Ruiz L, Bønes E, de la Asunción E, Gabarron E, Aviles-Solis J, Lee E, Traver V, Sato K, Bellika J. Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers. Journal of Biomedical Informatics 2017;74:104 View
  71. Asingizwe D, Poortvliet P, Koenraadt C, Van Vliet A, Murindahabi M, Ingabire C, Mutesa L, Feindt P. Applying citizen science for malaria prevention in Rwanda: An integrated conceptual framework. NJAS: Wageningen Journal of Life Sciences 2018;86-87(1):111 View
  72. Ahlan A, Ahmad B. User Acceptance of Health Information Technology (HIT) in Developing Countries: A Conceptual Model. Procedia Technology 2014;16:1287 View
  73. Povey J, Mills P, Dingwall K, Lowell A, Singer J, Rotumah D, Bennett-Levy J, Nagel T. Acceptability of Mental Health Apps for Aboriginal and Torres Strait Islander Australians: A Qualitative Study. Journal of Medical Internet Research 2016;18(3):e65 View
  74. Abdelhamid M. Greater patient health information control to improve the sustainability of health information exchanges. Journal of Biomedical Informatics 2018;83:150 View
  75. Bidmon S, Terlutter R, Röttl J. What Explains Usage of Mobile Physician-Rating Apps? Results From a Web-Based Questionnaire. Journal of Medical Internet Research 2014;16(6):e148 View
  76. Sima V, Gheorghe I, Subić J, Nancu D. Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review. Sustainability 2020;12(10):4035 View
  77. Silver R, 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 View
  78. Billmann M, Böhm M, Krcmar H. Use of workplace health promotion apps: Analysis of employee log data. Health Policy and Technology 2020;9(3):285 View
  79. Thilo F, Hürlimann B, Hahn S, Bilger S, Schols J, Halfens R. Involvement of older people in the development of fall detection systems: a scoping review. BMC Geriatrics 2016;16(1) View
  80. Anderson K, Burford O, Emmerton L, van Ooijen P. Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences. PLOS ONE 2016;11(5):e0156164 View
  81. Harst L, Lantzsch H, Scheibe M. Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review. Journal of Medical Internet Research 2019;21(5):e13117 View
  82. Tavares J, Oliveira T. Electronic Health Record Portal Adoption: a cross country analysis. BMC Medical Informatics and Decision Making 2017;17(1) View
  83. Anil Kumar K, Natarajan S. An extension of the Expectation Confirmation Model (ECM) to study continuance behavior in using e-Health services. Innovative Marketing 2020;16(2):15 View
  84. 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 View
  85. Kim J. A Qualitative Analysis of User Experiences With a Self-Tracker for Activity, Sleep, and Diet. interactive Journal of Medical Research 2014;3(1):e8 View
  86. Abolhassani N, Santos-Eggimann B, Chiolero A, Santschi V, Henchoz Y. Readiness to accept health information and communication technologies: A population-based survey of community-dwelling older adults. International Journal of Medical Informatics 2019;130:103950 View
  87. Singh G, MacGillivray M, Mills P, Adams J, Sawatzky B, Mortenson W. Patients’ Perspectives on the Usability of a Mobile App for Self-Management following Spinal Cord Injury. Journal of Medical Systems 2020;44(1) View
  88. Mooney K, McElnay J, Donnelly R. Parents’ perceptions of microneedle-mediated monitoring as an alternative to blood sampling in the monitoring of their infants. International Journal of Pharmacy Practice 2015;23(6):429 View
  89. 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 View
  90. Chung Y, Han H. A Study of Factors Influencing the Intention of University Students to Accept Healthcare Information Technology Services. Journal of the Korea Academia-Industrial cooperation Society 2013;14(11):5698 View
  91. Vugts M, Joosen M, van Bergen A, Vrijhoef H. Feasibility of Applied Gaming During Interdisciplinary Rehabilitation for Patients With Complex Chronic Pain and Fatigue Complaints: A Mixed-Methods Study. JMIR Serious Games 2016;4(1):e2 View
  92. Cimperman M, Makovec Brenčič M, Trkman P. Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model. International Journal of Medical Informatics 2016;90:22 View
  93. Kim J. Analysis of Health Consumers' Behavior Using Self-Tracker for Activity, Sleep, and Diet. Telemedicine and e-Health 2014;20(6):552 View
  94. 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 View
  95. Ahadzadeh A, Pahlevan Sharif S, Ong F, Khong K. Integrating Health Belief Model and Technology Acceptance Model: An Investigation of Health-Related Internet Use. Journal of Medical Internet Research 2015;17(2):e45 View
  96. Puspitasari I, Firdauzy A. Characterizing Consumer Behavior in Leveraging Social Media for E-Patient and Health-Related Activities. International Journal of Environmental Research and Public Health 2019;16(18):3348 View
  97. Wang L, Wu T, Guo X, Zhang X, Li Y, Wang W. Exploring mHealth monitoring service acceptance from a service characteristics perspective. Electronic Commerce Research and Applications 2018;30:159 View
  98. Chauhan S, Jaiswal M. A meta-analysis of e-health applications acceptance. Journal of Enterprise Information Management 2017;30(2):295 View
  99. Zhang Y, Wen N, Chao N. Effects of mobile information-seeking on the intention to obtain reproductive cancer screening among chinese women: testing an integrative model. Chinese Journal of Communication 2019;12(1):102 View
  100. Ghezzi P, Bannister P, Casino G, Catalani A, Goldman M, Morley J, Neunez M, Prados-Bo A, Smeesters P, Taddeo M, Vanzolini T, Floridi L. Online Information of Vaccines: Information Quality, Not Only Privacy, Is an Ethical Responsibility of Search Engines. Frontiers in Medicine 2020;7 View
  101. Pal D, Funilkul S, Charoenkitkarn N, Kanthamanon P. Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective. IEEE Access 2018;6:10483 View
  102. Melo C, Filho A, de Oliveira E, de Araújo A, Cavalcanti H, Melo C, Bushatsky M, Sanches L, Barros M. Development and Assessment of an Application for Primary Care for Users with Diabetes Mellitus. Aquichan 2020;20(2):1 View
  103. Messer L. Why Expectations Will Determine the Future of Artificial Pancreas. Diabetes Technology & Therapeutics 2018;20(S2):S2-65 View
  104. Tofighi B, Nicholson J, McNeely J, Muench F, Lee J. Mobile phone messaging for illicit drug and alcohol dependence: A systematic review of the literature. Drug and Alcohol Review 2017;36(4):477 View
  105. Rajković P, Aleksić D, Janković D, Milenković A, Petković I. Checking the potential shift to perceived usefulness—The analysis of users’ response to the updated electronic health record core features. International Journal of Medical Informatics 2018;115:80 View
  106. Sousa P, Duarte E, Ferreira R, Esperança A, Frontini R, Santos‐Rocha R, Luís L, Dias S, Marques N. An mHealth intervention programme to promote healthy behaviours and prevent adolescent obesity (TeenPower): A study protocol. Journal of Advanced Nursing 2019;75(3):683 View
  107. Januraga P, Izwardi D, Crosita Y, Indrayathi P, Kurniasari E, Sutrisna A, Tumilowicz A. Qualitative evaluation of a social media campaign to improve healthy food habits among urban adolescent females in Indonesia. Public Health Nutrition 2021;24(S2):s98 View
  108. Martínez-Pernía D, Núñez-Huasaf J, del Blanco Á, Ruiz-Tagle A, Velásquez J, Gomez M, Robert Blesius C, Ibañez A, Fernández-Manjón B, Slachevsky A. Using game authoring platforms to develop screen-based simulated functional assessments in persons with executive dysfunction following traumatic brain injury. Journal of Biomedical Informatics 2017;74:71 View
  109. Khan S, Peña J. Playing to beat the blues: Linguistic agency and message causality effects on use of mental health games application. Computers in Human Behavior 2017;71:436 View
  110. Sousa P, Martinho R, Reis C, Dias S, Gaspar P, Dixe M, Luis L, Ferreira R. Controlled trial of an mHealth intervention to promote healthy behaviours in adolescence (TeenPower): Effectiveness analysis. Journal of Advanced Nursing 2020;76(4):1057 View
  111. de Graaf M, Totte J, Breugem C, van Os-Medendorp H, Pasmans S. Evaluation of the Compliance, Acceptance, and Usability of a Web-Based eHealth Intervention for Parents of Children With Infantile Hemangiomas: Usability Study. JMIR Research Protocols 2013;2(2):e54 View
  112. Roettl J, Bidmon S, Terlutter R. What Predicts Patients’ Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship. Journal of Medical Internet Research 2016;18(2):e32 View
  113. Sin D, Guo X, Yong D, Qiu T, Moey P, Falk M, Tan N. Assessment of willingness to Tele-monitoring interventions in patients with type 2 diabetes and/or hypertension in the public primary healthcare setting. BMC Medical Informatics and Decision Making 2020;20(1) View
  114. Phillips K. No, Bananas Don’t Cure HIV, Nor Will Garlic Cure COVID-19: Searching for, Assessing, and Consuming Health Information Online. Journal of Consumer Health on the Internet 2020;24(2):175 View
  115. Lee J, Kim J, Jin M, Ahn K, Kim B, Kim S, Kim J. Beneficial Effects of Two Types of Personal Health Record Services Connected With Electronic Medical Records Within the Hospital Setting. CIN: Computers, Informatics, Nursing 2017;35(11):574 View
  116. Yu N, Huang Y. Important Factors Affecting User Experience Design and Satisfaction of a Mobile Health App—A Case Study of Daily Yoga App. International Journal of Environmental Research and Public Health 2020;17(19):6967 View
  117. Kouton J, Bétila R, Lawin M. The Impact of ICT Development on Health Outcomes in Africa: Does Economic Freedom Matter?. Journal of the Knowledge Economy 2020 View
  118. Saprikis V, Avlogiaris G, Katarachia A. Determinants of the Intention to Adopt Mobile Augmented Reality Apps in Shopping Malls among University Students. Journal of Theoretical and Applied Electronic Commerce Research 2020;16(3):491 View
  119. Wang H, Liang L, Du C, Wu Y. Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2021;9(2):e25960 View
  120. Jackman K, Kane J, Kharrazi H, Johnson R, Latkin C. Using the Patient Portal Sexual Health Instrument in Surveys and Patient Questionnaires Among Sexual Minority Men in the United States: Cross-sectional Psychometric Validation Study. Journal of Medical Internet Research 2021;23(2):e18750 View
  121. You (Ryu) K, Cho J. Investigation of the Influential Factors in Leading People to Seek Mobile Information for the Promotion of Health-Related Behaviors. Sustainability 2020;12(24):10512 View
  122. Jacobs J, Walsh E, Rapoport C, Antoni M, Park E, Post K, Comander A, Peppercorn J, Safren S, Temel J, Greer J. Development and Refinement of a Telehealth Intervention for Symptom Management, Distress, and Adherence to Adjuvant Endocrine Therapy after Breast Cancer. Journal of Clinical Psychology in Medical Settings 2021;28(3):603 View
  123. Andrade A, LeBlanc V, Kalisch-Ellett L, Pratt N, Moffat A, Blacker N, Westaway K, Barratt J, Roughead E. Determinants of usefulness in professional behaviour change interventions: observational study of a 15-year national program. BMJ Open 2020;10(10):e038016 View
  124. Lee M, Kang D, Yoon J, Shim S, Kim I, Oh D, Shin S, Hesse B, Cho J, Weston K. 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 View
  125. Alhusseini N, Banta J, Oh J, Montgomery S. Understanding the Use of Electronic Means to Seek Personal Health Information Among Adults in the United States. Cureus 2020 View
  126. Han Y, Jiang B, Guo R. Factors Affecting Public Adoption of Prevention and Treatment Information Under the Infodemic: An Integrated Conceptual Adoption Framework (Preprint). Journal of Medical Internet Research 2020 View
  127. O’Neill M, Houghton C, Crilly G, Dowling M. A qualitative evidence synthesis of users’ experience of mobile health applications in the self-management of type 2 diabetes. Chronic Illness 2022;18(1):22 View
  128. Nadal C, Earley C, Enrique A, Vigano N, Sas C, Richards D, Doherty G. Integration of a smartwatch within an internet-delivered intervention for depression: Protocol for a feasibility randomized controlled trial on acceptance. Contemporary Clinical Trials 2021;103:106323 View
  129. Kim T, Ho C. Validating the moderating role of age in multi-perspective acceptance model of wearable healthcare technology. Telematics and Informatics 2021;61:101603 View
  130. Akintunde T, Chen S, Ibrahim E, Tassang A. Maternal Self-rated Capability Status and Its Association with Under-Five Children Morbidity. Journal of Primary Care & Community Health 2021;12 View
  131. Gimpel H, Manner-Romberg T, Schmied F, Winkler T. Understanding the evaluation of mHealth app features based on a cross-country Kano analysis. Electronic Markets 2021;31(4):765 View
  132. Kim B, Hong S, Kim S. Introducing an Integrated Model of Adults’ Wearable Activity Tracker Use and Obesity Information–Seeking Behaviors From a National Quota Sample Survey. JMIR Formative Research 2021;5(9):e23237 View
  133. Cho Y, Zhang H, Harris M, Gong Y, Smith E, Jiang Y. Acceptance and Use of Home-Based Electronic Symptom Self-Reporting Systems in Patients With Cancer: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24638 View
  134. Pan M, Gao W. Determinants of the behavioral intention to use a mobile nursing application by nurses in China. BMC Health Services Research 2021;21(1) View
  135. 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 View
  136. Jeong G, Choi H. Health Information-seeking Behaviors: A Review of National Survey Instruments (Preprint). Journal of Medical Internet Research 2021 View
  137. Liu L, Shi L. Does the ownership of health website matter? A cross-sectional study on Chinese consumer behavior. International Journal of Medical Informatics 2021;152:104485 View
  138. Khorram-Manesh A, Dulebenets M, Goniewicz K. Implementing Public Health Strategies—The Need for Educational Initiatives: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(11):5888 View
  139. Palos-Sanchez P, Saura J, Rios Martin M, Aguayo-Camacho M. Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study. JMIR mHealth and uHealth 2021;9(9):e27021 View
  140. Moqbel M, Hewitt B, Nah F, McLean R. 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 View
  141. Park H, Kim K, Chung H, Jeong S, Soh J, Hyun Y, Kim H. A worker-centered personal health record app for workplace health promotion using national healthcare datasets: A design and development study (Preprint). JMIR Medical Informatics 2021 View
  142. Alsaad A, Al-Okaily M. Acceptance of protection technology in a time of fear: the case of Covid-19 exposure detection apps. Information Technology & People 2022;35(3):1116 View
  143. Ahadzadeh A, Wu S, Ong F, Deng R. The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study. Journal of Medical Internet Research 2021;23(12):e28086 View
  144. Walling B, Totzkay D, Silk K, Boumis J, Thomas B, Smith S. Evaluating the Feasibility of Continuing Medical Education for Disseminating Emerging Science on the Breast Cancer and Environment Connection. Journal of Health Communication 2021:1 View
  145. Kirkscey R. Development and Patient User Experience Evaluation of an mHealth Informational App for Osteoporosis. International Journal of Human–Computer Interaction 2022;38(8):707 View
  146. Cheung Y, Lam P, Lam T, Lam H, Li C. Technology Acceptance Among Patients With Hemophilia in Hong Kong and Their Expectations of a Mobile Health App to Promote Self-management: Survey Study. JMIR Formative Research 2021;5(9):e27985 View
  147. Kallmerten P, Chia L, Jakub K, Turk M. Patient Portal Use by Adults With Heart Failure. CIN: Computers, Informatics, Nursing 2021;39(8):418 View
  148. Wan Mamat W, Jarrett N, Lund S. An Exploration of Family Members’ Roles in the Context of Breast Cancer: A Narrative Study in Malaysia. Malaysian Journal of Medicine and Health Sciences 2022;18(6):14 View
  149. Peng R. How online searches fuel health anxiety: Investigating the link between health-related searches, health anxiety, and future intention. Computers in Human Behavior 2022;136:107384 View
  150. Liu T, Lin T, Hsu S. Continuance Usage Intention toward E-Payment during the COVID-19 Pandemic from the Financial Sustainable Development Perspective Using Perceived Usefulness and Electronic Word of Mouth as Mediators. Sustainability 2022;14(13):7775 View
  151. Van Rhoon L, McSharry J, Byrne M. Development and testing of a digital health acceptability model to explain the intention to use a digital diabetes prevention programme. British Journal of Health Psychology 2022;27(3):716 View
  152. Puspitasari I, Syahputra E, Raharjana I, Jie F. The Continuance Intention of User’s Engagement in Multiplayer Video Games based on Uses and Gratifications Theory. Journal of Information Systems Engineering and Business Intelligence 2018;4(2):131 View
  153. Rehman I, Ahmad A, Akhter F, Aljarallah A. A Dual-Stage SEM-ANN Analysis to Explore Consumer Adoption of Smart Wearable Healthcare Devices. Journal of Global Information Management 2022;29(6):1 View
  154. Post E, Faurot K, Kadro Z, Hill J, Nguyen C, Asher G, Gaylord S, Corbett A. Patient Perspectives on the Development of a Novel Mobile Health (mHealth) Application for Dietary Supplement Tracking and Reconciliation—A Qualitative Focus Group Study. Global Advances in Health and Medicine 2022;11 View
  155. Abumalloh R, Asadi S, Nilashi M, Minaei-Bidgoli B, Nayer F, Samad S, Mohd S, Ibrahim O. The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education. Technology in Society 2021;67:101728 View
  156. Ning C, Guo D, Wu J, Gao H. Media Exposure and Media Credibility Influencing Public Intentions for Influenza Vaccination. Vaccines 2022;10(4):526 View
  157. Röbbelen A, Schmieding M, Kopka M, Balzer F, Feufel M. Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial. JMIR Public Health and Surveillance 2022;8(4):e33733 View
  158. Tetri B, Juujärvi S. Self-Efficacy, Internet Self-Efficacy, and Proxy Efficacy as Predictors of the Use of Digital Social and Health Care Services Among Mental Health Service Users in Finland: A Cross-Sectional Study. Psychology Research and Behavior Management 2022;Volume 15:291 View
  159. Ramasawmy M, Poole L, Thorlu-Bangura Z, Chauhan A, Murali M, Jagpal P, Bijral M, Prashar J, G-Medhin A, Murray E, Stevenson F, Blandford A, Potts H, Khunti K, Hanif W, Gill P, Sajid M, Patel K, Sood H, Bhala N, Modha S, Mistry M, Patel V, Ali S, Ala A, Banerjee A. Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease–Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review. JMIR Cardio 2022;6(2):e37360 View
  160. Soleymani M, Esmaeilzadeh M, Taghipour F, Ashrafi‐rizi H. COVID‐19 information seeking needs and behaviour among citizens in Isfahan, Iran: A qualitative study. Health Information & Libraries Journal 2023;40(4):359 View
  161. Huang H, Chen Z, Cao S, Xiao M, Xie L, Zhao Q. Adoption Intention and Factors Influencing the Use of Gerontechnology in Chinese Community-Dwelling Older Adults: A Mixed-Methods Study. Frontiers in Public Health 2021;9 View
  162. Xu Q, Hou X, Xiao T, Zhao W. Factors Affecting Medical Students’ Continuance Intention to Use Mobile Health Applications. Journal of Multidisciplinary Healthcare 2022;Volume 15:471 View
  163. Pit S, Ramsden R, Tan A, Payne K, Barr J, Eames B, Edwards M, Colbran R. Persuasive Design Techniques and App Design Recommendations to Improve Health Workforce Capability in Rural Health Professionals: What Do Users Want and How Does an App Help?. JMIR Human Factors 2022;9(2):e35094 View
  164. Huang S, Huang J, Deng X, Ouyang L, He G, Sun J. Attitude and Needs Toward MTM Applications of Chronic Disease in China: A Questionnaire Survey. Frontiers in Public Health 2022;10 View
  165. Berninger N, Crutzen R, Ruiter R, Kok G, Plasqui G, ten Hoor G. Moderators of the Effectiveness of UPcomplish on Office Workers’ Sedentary Behaviour, Quality of Life, and Psychosocial Determinants: A Stepped Wedge Design. International Journal of Behavioral Medicine 2023;30(6):849 View
  166. Attie E, Meyer-Waarden L. How Do You Sleep? The Impact of Sleep Apps on Generation Z's Well-Being. Journal of Interactive Marketing 2023;58(2-3):222 View
  167. Huang Z, Guo H, Lim H, Chow A. Determinants of the acceptance and adoption of a digital contact tracing tool during the COVID-19 pandemic in Singapore. Epidemiology and Infection 2022;150 View
  168. Drabarek D, Habgood E, Janda M, Hersch J, Ackermann D, Low D, Low C, Morton R, Dieng M, Cust A, Morgan A, Smith E, Bell K. Experiences of Patient-Led Surveillance, Including Patient-Performed Teledermoscopy, in the MEL-SELF Pilot Randomized Controlled Trial: Qualitative Interview Study. JMIR Dermatology 2022;5(3):e35916 View
  169. Ajina A, Javed H, Ali S, Zamil A. Are men from mars, women from venus? Examining gender differences of consumers towards mobile-wallet adoption during pandemic. Cogent Business & Management 2023;10(1) View
  170. Richardson J, Curtis S, Smith C, Pacyna J, Zhu X, Barry B, Sharp R. A framework for examining patient attitudes regarding applications of artificial intelligence in healthcare. DIGITAL HEALTH 2022;8:205520762210890 View
  171. AlQudah A, Al-Emran M, Shaalan K. Technology Acceptance in Healthcare: A Systematic Review. Applied Sciences 2021;11(22):10537 View
  172. Bianchi C, Tuzovic S, Kuppelwieser V. Investigating the drivers of wearable technology adoption for healthcare in South America. Information Technology & People 2023;36(2):916 View
  173. Yi-No Kang E, Chen D, Chen Y. Associations between literacy and attitudes toward artificial intelligence–assisted medical consultations: The mediating role of perceived distrust and efficiency of artificial intelligence. Computers in Human Behavior 2023;139:107529 View
  174. Ramsden R, Pit S, Colbran R, Payne K, Tan A, Edwards M. Development of a framework to promote rural health workforce capability through digital solutions: A qualitative study of user perspectives. DIGITAL HEALTH 2022;8:205520762210890 View
  175. Susanty S, Sarasmita M, Sudarma I, Azissah D, Suyanto J, Kamil S, Budiman B, Suharjiman S. Animated video development COVID-19 prevention and management for anxiety among older adults in Indonesia. Geriatric Nursing 2023;49:13 View
  176. Yang Q, Al Mamun A, Hayat N, Md. Salleh M, Salameh A, Makhbul Z. Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis. Frontiers in Public Health 2022;10 View
  177. Bizzotto N, Marciano L, de Bruijn G, Schulz P. The Empowering Role of Web-Based Help Seeking on Depressive Symptoms: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2023;25:e36964 View
  178. Meddar J, Ponnapalli A, Azhar R, Turchioe M, Duran A, Creber R. A Structured Review of Commercially Available Cardiac Rehabilitation mHealth Applications Using the Mobile Application Rating Scale. Journal of Cardiopulmonary Rehabilitation and Prevention 2022;42(3):141 View
  179. Berninger N, Plasqui G, Crutzen R, Ruiter R, Kok G, Ten Hoor G. The Effects of UPcomplish on Office Workers’ Sedentary Behaviour, Quality of Life and Psychosocial Determinants: A Stepped-Wedge Design. International Journal of Behavioral Medicine 2022;29(6):728 View
  180. Lim T, Lim B, Leong C, Phang I, Foong W. Consumer adoption of on‐demand digital platforms: An integrated model. Global Business and Organizational Excellence 2023;42(6):75 View
  181. Phagdol T, Nayak B, Lewis L, Margaret B, George A. Designing a mobile health intervention for preterm home care: Application of conceptual framework. Public Health Nursing 2022;39(1):296 View
  182. Sobon M. E-health information as a support of health information technology systems – patients attitudes. Procedia Computer Science 2022;207:1723 View
  183. KARAÇADIR V, SEZGİN A. KAMU İNTERNET VE MOBİL SAĞLIK UYGULAMALARI KULLANIM NİYETİ DEĞİŞKENLERİNİN DEĞERLENDİRİLMESİ. Türkiye Mesleki ve Sosyal Bilimler Dergisi 2022;(9):60 View
  184. Harakeh Z, Van Keulen H, Hogenelst K, Otten W, De Hoogh I, Van Empelen P. Predictors of the Acceptance of an Electronic Coach Targeting Self-management of Patients With Type 2 Diabetes: Web-Based Survey. JMIR Formative Research 2022;6(8):e34737 View
  185. Ogundipe A, Sim T, Emmerton L. Health information communication technology evaluation frameworks for pharmacist prescribing: A systematic scoping review. Research in Social and Administrative Pharmacy 2023;19(2):218 View
  186. Junker M, Böhm M, Franz M, Fritsch T, Krcmar H. Value of normative belief in intention to use workplace health promotion apps. BMC Medical Informatics and Decision Making 2022;22(1) View
  187. Schröder T, Gewald H, Weeger A. A research model to explain acceptance of speech therapy devices by senior aphasia patients. Procedia Computer Science 2022;198:287 View
  188. Mackey R, Gleason A, Ciulla R. A Novel Method for Evaluating Mobile Apps (App Rating Inventory): Development Study. JMIR mHealth and uHealth 2022;10(4):e32643 View
  189. Ly H, Khuong N, Son T. DETERMINANTS AFFECT MOBILE WALLET CONTINUOUS USAGE IN COVID 19 PANDEMIC: EVIDENCE FROM VIETNAM. Cogent Business & Management 2022;9(1) View
  190. Viana Pereira F, Tavares J, Oliveira T. Adoption of video consultations during the COVID-19 pandemic. Internet Interventions 2023;31:100602 View
  191. Pit S, Tan A, Ramsden R, Payne K, Freihaut W, Hayes O, Eames B, Edwards M, Colbran R. Persuasive Design Solutions for a Sustainable Workforce: Review of Persuasive Apps for Real-Time Capability Support for Rural Health Care Professionals. JMIR mHealth and uHealth 2022;10(2):e33413 View
  192. Pepper C, Reyes-Cruz G, Pena A, Dowthwaite L, Babbage C, Wagner H, Nichele E, Fischer J. Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study. Journal of Medical Internet Research 2022;24(10):e40558 View
  193. Krisdina S, Dwi Nurhayati O, Mutiara Kusumo Nugraheni D, Warsito B, Sutiningsih D, Muhammad F. Hybrid Model Based on Technology Acceptance Model (TAM) & Information System Success Model (ISSM) in Analyzing the Use of E-Health. E3S Web of Conferences 2022;359:05003 View
  194. Czerwińska M, Bojar E. Model akceptacji internetowych informacji zdrowotnych przez przedstawicieli pokolenia Z - wyniki badań pilotażowych. Przegląd Organizacji 2021:31 View
  195. Wang Z, Jiang Q, Li Z. How to Promote Online Education through Educational Software—An Analytical Study of Factor Analysis and Structural Equation Modeling with Chinese Users as an Example. Systems 2022;10(4):100 View
  196. Baer N, Vietzke J, Schenk L, Jutai J. Middle-aged and older adults’ acceptance of mobile nutrition and fitness apps: A systematic mixed studies review. PLOS ONE 2022;17(12):e0278879 View
  197. Silva G, Dias Á, Rodrigues M. Continuity of Use of Food Delivery Apps: An Integrated Approach to the Health Belief Model and the Technology Readiness and Acceptance Model. Journal of Open Innovation: Technology, Market, and Complexity 2022;8(3):114 View
  198. Choi W, Chang S, Yang Y, Jung S, Lee S, Chun J, Kim D, Lee W, Choi I. Study of the factors influencing the use of MyData platform based on personal health record data sharing system. BMC Medical Informatics and Decision Making 2022;22(1) View
  199. Yang T, Huang C, An C, Weng L. Construction and evaluation of a 360 degrees panoramic video on the physical examination of nursing students. Nurse Education in Practice 2022;63:103372 View
  200. Liu Y, Lu X, Zhao G, Li C, Shi J. Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns. Frontiers in Psychology 2022;13 View
  201. Mendez K, Budhathoki C, Labrique A, Sadak T, Tanner E, Han H. Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study. JMIR mHealth and uHealth 2021;9(8):e27926 View
  202. Arslan Y, Turan A. Consumers' Acceptance of Online Grocery Shopping in a Pandemic Situation: An Extended Technology Acceptance Model Perspective. European Journal of Business Science and Technology 2022;8(2):143 View
  203. Neal W, Richardson E, Motl R. Informing the development of a mobile application for the physical activity guidelines in multiple sclerosis: a qualitative, pluralistic approach. Disability and Rehabilitation: Assistive Technology 2024;19(4):1161 View
  204. Randall W, Sinha V, Prybutok V. An exploration of the antecedent to increase society’s use of predictive models: Trust in science or predictive models. Decision Analytics Journal 2022;4:100095 View
  205. McGee-Vincent P, Mackintosh M, Jamison A, Juhasz K, Becket-Davenport C, Bosch J, Avery T, Glamb L, Hampole S. Training Staff Across the Veterans Affairs Health Care System to Use Mobile Mental Health Apps: A National Quality Improvement Project. JMIR Mental Health 2023;10:e41773 View
  206. Hughes (née Richardson) B, Benoit B, Rutledge K, Dol J, Martin-Misener R, Latimer M, Smit M, McGrath P, Campbell-Yeo M. Impact of parent-targeted eHealth educational interventions on infant procedural pain management: a systematic review. JBI Evidence Synthesis 2023 View
  207. Sassenberg K, Roesel I, Sudeck G, Bernecker K, Durst J, Krauss I. The Relation of Attitude Toward Technology and Mastery Experience After an App-Guided Physical Exercise Intervention: Randomized Crossover Trial. JMIR Formative Research 2022;6(2):e28913 View
  208. Aguilar-Latorre A, Pérez Algorta G, Navarro-Guzmán C, Serrano-Ripoll M, Oliván-Blázquez B. Effectiveness of a lifestyle modification programme in the treatment of depression symptoms in primary care. Frontiers in Medicine 2022;9 View
  209. Aldousari E. Bibliometric analysis confirms expected trends in consumer health information publications. Health Information & Libraries Journal 2024;41(3):309 View
  210. Sabbir M, Taufique K, Nomi M. Telemedicine acceptance during the COVID-19 pandemic: User satisfaction and strategic healthcare marketing considerations. Health Marketing Quarterly 2021;38(2-3):168 View
  211. Ali M, Raza S, Puah C, Mubarik M. Customer acceptance toward Islamic personal financing in Pakistan. Journal of Financial Services Marketing 2023;28(2):270 View
  212. Viecelli A, Duncanson E, Bennett P, D’Antoine M, Dansie K, Handke W, Tong A, Palmer S, Jesudason S, McDonald S, Morton R, Jose M, Brown C, Laranjo L, Caskey F, Couchoud C, Johnson D, Harris D, Walker R, Coiera E, Hawley C, Simes R. Perspectives of Patients, Nurses, and Nephrologists About Electronic Symptom Monitoring With Feedback in Hemodialysis Care. American Journal of Kidney Diseases 2022;80(2):215 View
  213. Chen J, Hsu P, Chang Y, Shiau W, Lan Y. For free or paid? A comparison of doctors' intention to offer consulting services in eHealth. Industrial Management & Data Systems 2022;122(8):1816 View
  214. Gunasekara N, Fernando W, Karunarathne E. Online health information-seeking behaviour: an empirical study of managerial-level employees in Sri Lanka. International Journal of Pharmaceutical and Healthcare Marketing 2022;16(4):490 View
  215. Zamil A, Ali S, Poulova P, Akbar M. An ounce of prevention or a pound of cure? Multi-level modelling on the antecedents of mobile-wallet adoption and the moderating role of e-WoM during COVID-19. Frontiers in Psychology 2022;13 View
  216. Saima F, Rahman M, Ghosh R. MFS usage intention during COVID-19 and beyond: an integration of health belief and expectation confirmation model. Journal of Economic and Administrative Sciences 2024;40(2):182 View
  217. Ha J, Park J, Lee S, Lee J, Choi J, Kim J, Cho S, Jeon G. Predicting Habitual Use of Wearable Health Devices Among Middle-aged Individuals With Metabolic Syndrome Risk Factors in South Korea: Cross-sectional Study. JMIR Formative Research 2023;7:e42087 View
  218. Akintunde T. Maternal perceived self-efficacy, perceived vulnerability and child health outcome in Ibadan, South-West Nigeria. Global Health Journal 2023;7(2):94 View
  219. Debeuf R, Fobelets M, Vaneyghen J, Naets B, Minnaert B, De Wachter E, Lambrechts R, Beckwée D, Jansen B, Middag C, Swinnen E. Healthcare professionals’ perspectives on development of assistive technology using the comprehensive assistive technology model. Assistive Technology 2024;36(1):51 View
  220. Khuong N, Ly H, Anh L. Accrual-based, real activities earnings management and corporate social responsibility: A virtuous circle? emerging market evidence. Cogent Economics & Finance 2023;11(1) View
  221. Priyansyah R, Fuady I, Pratamawaty B. Factors influencing acceptance of Indonesian contact tracing APP: Development of the technology acceptance model. Human Technology 2023;19(2):262 View
  222. Labarta J, Dimitri P, Keiser M, Koledova E, Rivera-Romero O. Evaluating the Usefulness and Ease of Use of a Next-Generation–Connected Drug Delivery Device for Growth Hormone Therapy: Qualitative Study of Health Care Professionals’ Perceptions. JMIR Human Factors 2023;10:e46893 View
  223. Sze W, Kow S. Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study. JMIR Diabetes 2023;8:e40968 View
  224. Sutcliffe A, Bencomo N, Darby A, Paucar L, Sawyer P. To download or not to download the Covid-19 Track and Trace App? What is more influential in users’ minds?. International Journal of Human-Computer Studies 2023;180:103140 View
  225. Memenga P, Baumann E, Luetke Lanfer H, Reifegerste D, Geulen J, Weber W, Hahne A, Müller A, Weg-Remers S. Intentions of Patients With Cancer and Their Relatives to Use a Live Chat on Familial Cancer Risk: Results From a Cross-Sectional Web-Based Survey. Journal of Medical Internet Research 2023;25:e45198 View
  226. Medich M, Cannedy S, Hoffmann L, Chinchilla M, Pila J, Chassman S, Calderon R, Young A. Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach. JMIR Human Factors 2023;10:e46909 View
  227. Pienkowska A, Ang C, Mammadova M, Mahadzir M, Car J. A Diabetes Education App for People Living With Type 2 Diabetes: Co-Design Study. JMIR Formative Research 2023;7:e45490 View
  228. Tobi S, Abdullah M, Pyeman J, Anuar A, Saadun S, Kadang H. Perceived Technology Acceptance and Software Engineering Factors Towards Intention to Use Web-based Health Information Service (WBHIS). Journal of Health Management 2023 View
  229. Mahoney C, Hoyle L, Van Splunter C, Kyle R. Wearable activity trackers for nurses' health: A qualitative acceptability study. Nursing Open 2023;10(9):6357 View
  230. Nadal C, Earley C, Enrique A, Sas C, Richards D, Doherty G. Patient Acceptance of Self-Monitoring on a Smartwatch in a Routine Digital Therapy: A Mixed-Methods Study. ACM Transactions on Computer-Human Interaction 2024;31(1):1 View
  231. Sreelakshmi C, Prathap S. Effect of COVID-19 health threat on consumer’s perceived value towards mobile payments in India: a means-end model. Journal of Financial Services Marketing 2024;29(3):763 View
  232. Ilkic J, Milosevic Georgiev A, Lakic D, Marinkovic V. Exploring experiences of pharmacists and pharmacy students using mHealth apps: A qualitative study of user experience. International Journal of Qualitative Studies on Health and Well-being 2023;18(1) View
  233. Paganin G, Margheritti S, Farhane-Medina N, Simbula S, Mazzetti G. Health, Stress and Technologies: Integrating Technology Acceptance and Health Belief Models for Smartphone-Based Stress Intervention. Healthcare 2023;11(23):3030 View
  234. Aranha M, Shemie J, James K, Deasy C, Heavin C. Behavioural intention of mobile health adoption: A study of older adults presenting to the emergency department. Smart Health 2024;31:100435 View
  235. Schröder S, Buntrock C, Neumann L, Müller J, Fromberger P. Acceptance of a Web-Based Intervention in Individuals Who Committed Sexual Offenses Against Children: Cross-Sectional Study. JMIR Formative Research 2024;8:e48880 View
  236. De G, Sondhi N, Bhattacharjee A, Joshi H. Preventive healthcare behavior: A hybrid systematic literature review (1998–2023). International Journal of Consumer Studies 2024;48(1) View
  237. Tan M, Kang G, Fong R, Cheong N, Shi H, Tan N. Patients’ perspectives on video consultation for non-communicable diseases: a qualitative study in Singapore. BJGP Open 2023;7(4):BJGPO.2023.0103 View
  238. Jardine J, Nadal C, Robinson S, Enrique A, Hanratty M, Doherty G. Between Rhetoric and Reality: Real-world Barriers to Uptake and Early Engagement in Digital Mental Health Interventions. ACM Transactions on Computer-Human Interaction 2024;31(2):1 View
  239. Reina A, Beer J, Renzi-Hammond L, Zhang D, Padilla H. Mind Your Heart: A Mindful Eating and Diet Education eHealth Program. Journal of Nutrition Education and Behavior 2024;56(1):54 View
  240. Daniels B, McGinnis C, Topaz L, Greenwald P, Turchioe M, Creber R, Sharma R. Bridging the digital health divide—patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity. Journal of the American Medical Informatics Association 2024;31(4):875 View
  241. Wang X, Wuji S, Liu Y, Luo R, Qiu C. Study on the impact of recommendation algorithms on user perceived stress and health management behaviour in short video platforms. Information Processing & Management 2024;61(3):103674 View
  242. Chen B, Chang Y, Wang B, Zou J, Tu S. Technology acceptance model perspective on the intention to participate in medical talents training in China. Heliyon 2024;10(4):e26206 View
  243. Jorbonyan A, Abolfathi Momtaz Y, Foroughan M, Mehrkian S. Determinants of Continuance Intention to Use Hearing Aids among Older Adults in Tehran (Iran). Healthcare 2024;12(4):487 View
  244. Woon L, Maguire P, Reay R, Looi J. Telepsychiatry in Australia: A Scoping Review. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  245. Aldekhyyel R, Alshuaibi F, Alsaaid O, Bin Moammar F, Alanazy T, Namshah A, Altassan K, Aldekhyyel R, Jamal A. Exploring behavioral intention to use telemedicine services post COVID-19: a cross sectional study in Saudi Arabia. Frontiers in Public Health 2024;12 View
  246. Nabelsi V, Lévesque-Chouinard A. Successful Electronic Consultation Service Initiative in Quebec, Canada With Primary Care Physicians’ and Specialists’ Experiences on Acceptance and Use of Technological Innovation: Cross-Sectional Exploratory Study. JMIR Formative Research 2024;8:e52921 View
  247. Kolotylo-Kulkarni M, Marakas G, Xia W. Understanding protective behavior and vaccination adoption among US individuals during the COVID-19 pandemic: A four-wave longitudinal study. Journal of Business Research 2024;179:114649 View
  248. Kim S. Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT. Technologies 2024;12(5):68 View
  249. Acharya K. Designing Equitable and Inclusive mHealth Technology: Insights from Global South Healthcare Practitioners. IEEE Transactions on Professional Communication 2024;67(2):229 View
  250. Min H, Li J, Di M, Huang S, Sun X, Li T, Wu Y. Factors influencing the continuance intention of the women’s health WeChat public account: an integrated model of UTAUT2 and HBM. Frontiers in Public Health 2024;12 View
  251. Dolničar V, Petrovčič A, Škafar M, Laznik J, Prevodnik K, Hvalič-Touzery S. Determinants of the intention to use mHealth in the future: Evidence from an intervention study of patients with chronic diseases in Slovenia. International Journal of Medical Informatics 2024;190:105537 View
  252. Hall K, Helmus B, Eymann T. How to Balance Privacy and (Health) Benefits: Privacy Calculus and the Intention to Use Health Tracking at the Workplace. International Journal of Human–Computer Interaction 2024:1 View
  253. Ye X, Liu R, Che S, Zhang Y, Wu J, Jiang Y, Luo X, Xie C. Role perceptions and experiences of adult children in remote glucose management for older parents with type 2 diabetes mellitus: a qualitative study. BMC Geriatrics 2024;24(1) View
  254. Tan T, Lim S, Vun C. Role of Technology Self-Efficacy and Digital Alliance in Digital Mental Health Tool Acceptance Among University Students in Singapore. International Journal of Crowd Science 2024;8(3):101 View
  255. Nirapai A, Leelasantitham A. A new adoption model for quality of experience assessed by radiologists using AI medical imaging technology. Journal of Open Innovation: Technology, Market, and Complexity 2024;10(3):100369 View
  256. Leung W, Law S, Cheung M, Chang M, Lai C, Liu N. From resistance to acceptance: developing health task measures to boost mHealth adoption among older adults: mixed-methods approach and innovation resistance. Internet Research 2024 View
  257. Choi H, Jin M. Determinants of health-promoting behavior among eHealth consumers in South Korea: a longitudinal path analysis. Journal of Korean Biological Nursing Science 2024;26(3):206 View
  258. Yang Q, Al Mamun A, Wu M, Naznen F. Strengthening health monitoring: Intention and adoption of Internet of Things-enabled wearable healthcare devices. DIGITAL HEALTH 2024;10 View
  259. Abasi A, Ayatollahi H. Computer-Based Simulation for Pediatric Cardiovascular Disease Management: A Policy Brief. Global Pediatric Health 2024;11 View
  260. Lee J, Bae H, Lee E. Adoption of mobile dementia prevention services for middle-aged and older adults: applying the theory of coping strategies for dementia risks. Informatics for Health and Social Care 2024:1 View
  261. De G, Joshi H, Sondhi N, Bhattacharjee A. Preventive health-care behavior: a serial multiple mediation analysis. International Journal of Pharmaceutical and Healthcare Marketing 2024 View
  262. Kaklamanou D, Nguyen L, Al-Abbadey M, Sangala N, Lewis R, Ayatollahi H. Attitudes towards digital health technology for the care of people with chronic kidney disease: A technology acceptance model exploration. PLOS Digital Health 2024;3(10):e0000614 View
  263. Xie W, Hu G, Wang Y, Luo X, Liao L, Fu A, Lin J. The feasibility of M-health for people with chronic low back pain in Shanghai, China: A qualitative study. Hong Kong Physiotherapy Journal 2024:1 View
  264. Trang S, Trenz M, Weiger W. Don’t count your chickens before they hatch: Conceptualizing and exploring deviations from polls during public health app releases. Journal of Information Technology 2024 View
  265. Alrashidi O, Alshammari S. The effects of self-efficacy, teacher support, and positive academic emotions on student engagement in online courses among EFL university students. Education and Information Technologies 2024 View
  266. Joo O, Ha Y. Factors Affecting the Intention to Use Smartmonitor-Based Mobile Health in Middle-Aged in Patients Applying the Technology Acceptance Model II. Journal of Korean Academy of Nursing 2024;54 View
  267. Ekenberg M, Landin F, Wettermark B. A Cross-Sectional Study Identifying Medication Adherence Technologies (MATech) in Sweden Using Behavior Change Techniques. Patient Preference and Adherence 2024;Volume 18:2281 View

Books/Policy Documents

  1. Chen H, Levkoff S. Human Aspects of IT for the Aged Population. Design for Everyday Life. View
  2. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
  3. Boontarig W, Papasratorn B, Chutimaskul W. Technology Adoption and Social Issues. View
  4. Kuika Watat J, Moukoko Mbonjo M. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. View
  5. Zhu Y, Sun S. Digital Health and Medical Analytics. View
  6. AlQudah A, Salloum S, Shaalan K. Emerging Technologies During the Era of COVID-19 Pandemic. View
  7. Al-Tahitah A, Al-Sharafi M, Abdulrab M. Emerging Technologies During the Era of COVID-19 Pandemic. View
  8. Junker M, Böhm M, Edwards F, Krcmar H. Research Anthology on Changing Dynamics of Diversity and Safety in the Workforce. View
  9. Sharma P, Kumar T, Tyagi S. International Conference on Innovative Computing and Communications. View
  10. Dewasiri N, Karunarathna K, Rathnasiri M, Sood K, Saini A. Digital Transformation, Strategic Resilience, Cyber Security and Risk Management. View
  11. Jayathilake C, Keikhosrokiani P, Isomursu M. Digital Health and Wireless Solutions. View
  12. Power S, Smith K, Abedine R, Burton L, Adams A, Beer J. Human Aspects of IT for the Aged Population. View
  13. Al-Tahitah A, Al-Momani A, Al-Sharafi M, Abdulrab M, Hajar M. Current and Future Trends on Intelligent Technology Adoption. View
  14. Held P, Lindwedel U. Chronic Care - Wissenschaft und Praxis. View
  15. Ozolcer M, Yang Y, Kate S, Samant P, Bae S. The Proceedings of the 2024 Conference on Systems Engineering Research. View