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Published on 01.10.12 in Vol 14, No 5 (2012): Sep-Oct

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2143):

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

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  6. 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
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  28. 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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  31. 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
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  32. Sousa P, Duarte E, Ferreira R, Esperança A, Frontini R, Santos-Rocha R, Luís L, Dias SS, 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
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  33. Ali R, Zhang Z, Bux Soomro M. Smoking-cessation acceptance via mobile health. Human Systems Management 2019;38(3):313
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  34. Anderberg P, Eivazzadeh S, Berglund JS. A Novel Instrument for Measuring Older People’s Attitudes Toward Technology (TechPH): Development and Validation. Journal of Medical Internet Research 2019;21(5):e13951
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  35. 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
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  36. Richardson B, Benoit B, Rutledge K, Dol J, Misener RM, Latimer M, Smit M, McGrath P, Campbell-Yeo M. The impact of parent-targeted eHealth educational interventions on infant procedural pain management. JBI Database of Systematic Reviews and Implementation Reports 2019;17(8):1589
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  37. Dias SS, 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
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  38. 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
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  39. 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
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  41. Ahadzadeh AS, 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
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  42. 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
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  43. Messer LH. Why Expectations Will Determine the Future of Artificial Pancreas. Diabetes Technology & Therapeutics 2018;20(S2):S2-65
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  44. 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
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  45. Connor K, Wambach K, Baird MB. 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
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  46. 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
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  47. 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
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  48. 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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  49. Abdelhamid M. Greater patient health information control to improve the sustainability of health information exchanges. Journal of Biomedical Informatics 2018;83:150
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  50. Asingizwe D, Poortvliet PM, Koenraadt CJ, Van Vliet AJ, Murindahabi MM, Ingabire C, Mutesa L, Feindt PH. Applying citizen science for malaria prevention in Rwanda: An integrated conceptual framework. NJAS - Wageningen Journal of Life Sciences 2018;86-87:111
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  51. Fox G, Connolly R. Mobile health technology adoption across generations: Narrowing the digital divide. Information Systems Journal 2018;28(6):995
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  52. Ali M, Raza SA, Qazi W, Puah C. Assessing e-learning system in higher education institutes. Interactive Technology and Smart Education 2018;15(1):59
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  54. 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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  56. Tofighi B, Nicholson JM, McNeely J, Muench F, Lee JD. Mobile phone messaging for illicit drug and alcohol dependence: A systematic review of the literature. Drug and Alcohol Review 2017;36(4):477
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  57. Martínez-Pernía D, Núñez-Huasaf J, del Blanco , 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
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  58. 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
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  59. Marco-Ruiz L, Bønes E, de la Asunción E, Gabarron E, Aviles-Solis JC, Lee E, Traver V, Sato K, Bellika JG. Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers. Journal of Biomedical Informatics 2017;74:104
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  60. Hussein Z, Oon SW, Fikry A. Consumer Attitude: Does It Influencing the Intention to Use mHealth?. Procedia Computer Science 2017;105:340
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  61. Lee J, Kim JGB, 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
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  62. 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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  63. 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
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  64. Salisbury C, O’Cathain A, Thomas C, Edwards L, Montgomery AA, 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
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  65. Middlemass JB, Vos J, Siriwardena AN. 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)
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  66. 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
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  67. Wakefield BJ, Turvey CL, Nazi KM, Holman JE, Hogan TP, Shimada SL, Kennedy DR. Psychometric Properties of Patient-Facing eHealth Evaluation Measures: Systematic Review and Analysis. Journal of Medical Internet Research 2017;19(10):e346
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  68. 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
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  69. Shin D, Biocca F. Health experience model of personal informatics: The case of a quantified self. Computers in Human Behavior 2017;69:62
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  70. Cho J. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 2016;87:75
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  71. 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
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  72. 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
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  73. Cook N, Winkler SL. Acceptance, Usability and Health Applications of Virtual Worlds by Older Adults: A Feasibility Study. JMIR Research Protocols 2016;5(2):e81
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  74. 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
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  75. Vugts MAP, Joosen MCW, van Bergen AHMM, Vrijhoef HJM. 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
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  76. Anderson K, Burford O, Emmerton L, van Ooijen PM. Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences. PLOS ONE 2016;11(5):e0156164
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  77. Povey J, Mills PPJR, Dingwall KM, 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
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  78. 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
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  79. Thilo FJ, Hürlimann B, Hahn S, Bilger S, Schols JM, Halfens RJ. Involvement of older people in the development of fall detection systems: a scoping review. BMC Geriatrics 2016;16(1)
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  80. 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
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2143)

:
  1. Boontarig W, Papasratorn B, Chutimaskul W. Technology Adoption and Social Issues. 2018. chapter 8:157
    CrossRef
  2. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara CA, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. 2018. Chapter 2:21
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  3. Chen H, Levkoff SE. Human Aspects of IT for the Aged Population. Design for Everyday Life. 2015. Chapter 5:50
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