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Citing this Article

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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. 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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  11. Ali R, Zhang Z, Bux Soomro M. Smoking-cessation acceptance via mobile health. Human Systems Management 2019;38(3):313
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  12. Abuhammad S, Khabour OF, Alzoubi KH.

    COVID-19 Contact-Tracing Technology: Acceptability and Ethical Issues of Use

    . Patient Preference and Adherence 2020;Volume 14:1639
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  13. 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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  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
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  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
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  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
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  21. Gabarron E, Serrano JA, 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)
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  22. 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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  23. Mooney K, McElnay JC, Donnelly RF. 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
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  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
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  25. Frontini R, Sousa P, Dixe MA, Ferreira R, Figueiredo MC. 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
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  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)
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  27. 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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  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
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  29. 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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  30. Gow CX, Wong SC, Lim CS. 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
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  31. Pai RR, Alathur S. Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy 2019;13(3/4):306
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  32. de Graaf M, Totté JE, van Os-Medendorp H, van Renselaar W, Breugem CC, Pasmans SG. 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
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  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
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  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
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  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
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  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
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  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
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  38. Zhang L, Jung EH, Chen Z. Modeling the Pathway Linking Health Information Seeking to Psychological Well-Being on WeChat. Health Communication 2020;35(9):1101
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  39. 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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  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
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  41. Trang S, Trenz M, Weiger WH, Tarafdar M, Cheung CM. One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps. European Journal of Information Systems 2020;:1
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  42. Edwards L, Thomas C, Gregory A, Yardley L, O'Cathain A, Montgomery AA, 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
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  43. Ghaddar S, Vatcheva KP, Alvarado SG, 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
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  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
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  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
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  46. Agudelo-Londoño SM. Reflexión sobre la evaluación de impacto en eSalud. «No todo lo que brilla es oro». Trilogía Ciencia Tecnología Sociedad 2020;12(22):103
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  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
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  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
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  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
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  52. Ammerlaan JJ, Scholtus LW, Drossaert CH, van Os-Medendorp H, Prakken B, Kruize AA, Bijlsma JJ. 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
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  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
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  54. Zimmerman MS, Shaw G. Health information seeking behaviour: a concept analysis. Health Information & Libraries Journal 2020;37(3):173
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  55. Chang SJ, Im E. A path analysis of Internet health information seeking behaviors among older adults. Geriatric Nursing 2014;35(2):137
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  56. Buitenweg D, van de Mheen D, Grund J, van Oers H, van Nieuwenhuizen C. What’s in it for me? Qualitative evaluation of the QoL-ME, a visual and personalized quality of life assessment App for people with severe mental health problems (Preprint). JMIR Mental Health 2020;
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  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
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  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
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  59. 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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  60. 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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  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
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  62. 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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  63. Wei J, Vinnikova A, Lu L, Xu J. Understanding and Predicting the Adoption of Fitness Mobile Apps: Evidence from China. Health Communication 2020;:1
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  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
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  65. Jeon E, Park H. Factors Affecting Acceptance of Smartphone Application for Management of Obesity. Healthcare Informatics Research 2015;21(2):74
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  66. 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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  67. C.C. S, Prathap SK. 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
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  68. Ali R, Zhang Z, Soomro MB. Smoking-Cessation Acceptance Via Mobile Health and Quick Response Code Technologies: Empirical Evidence of a Pilot Study from China and Pakistan. Current Psychology 2019;
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  69. Medlock S, Eslami S, Askari M, Arts DL, Sent D, de Rooij SE, Abu-Hanna A. Health Information–Seeking Behavior of Seniors Who Use the Internet: A Survey. Journal of Medical Internet Research 2015;17(1):e10
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  71. 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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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2143):

  1. Chen H, Levkoff SE. Human Aspects of IT for the Aged Population. Design for Everyday Life. 2015. Chapter 5:50
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  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. Boontarig W, Papasratorn B, Chutimaskul W. Technology Adoption and Social Issues. 2018. chapter 8:157
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