Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17256, first published .
Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement

Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement

Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement

Authors of this article:

Camille Nadal1 Author Orcid Image ;   Corina Sas2 Author Orcid Image ;   Gavin Doherty1 Author Orcid Image

Journals

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  108. Nasrun M, Kusumaningrum P, Malik K, Kusumaningsih W, Harimurti K, Prawiroharjo P, Mardhiyah F, Matanta R, Lalenoh L, Kiasati S. Technological acceptance and features needed in mobile health apps development for people living with dementia and their caregivers in Indonesia. Informatics for Health and Social Care 2024:1 View
  109. Karnatz N, Schwerter M, Liu S, Parviz A, Wilkat M, Rana M. Mixed Reality as a Digital Visualisation Solution for the Head and Neck Tumour Board: Application Creation and Implementation Study. Cancers 2024;16(7):1392 View
  110. Amiot O, Sauvaget A, Alamome I, Bulteau S, Charpeaud T, Clair A, Courtet P, Drapier D, Haffen E, Fakra E, Gaudeau-Bosma C, Gaillard A, Mouchabac S, Pineau F, Narboni V, Duburcq A, Lecardeur L. Prospective Acceptability of Digital Therapy for Major Depressive Disorder in France: Multicentric Real-Life Study. JMIR Formative Research 2024;8:e53204 View
  111. Claudy M, Parkinson M, Aquino K. Why should innovators care about morality? Political ideology, moral foundations, and the acceptance of technological innovations. Technological Forecasting and Social Change 2024;203:123384 View
  112. 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
  113. Abouzeid N, Lal S, Titi M. The role of sociodemographic factors on the acceptability of digital mental health care: A scoping review protocol. PLOS ONE 2024;19(4):e0301886 View
  114. Oldham M, Dinu L, Loebenberg G, Perski O, Brown J, Angus C, Beard E, Burton R, Field M, Greaves F, Hickman M, Kaner E, Michie S, Munafò M, Pizzo E, Garnett C. Evaluating the acceptability of the Drink Less app and the NHS alcohol advice webpage: A qualitative interviews process evaluation (Preprint). Journal of Medical Internet Research 2023 View
  115. O’Keeffe V, Jang R, Manning K, Trott R, Howard S, Hordacre A, Spoehr J. Forming a view: a human factors case study of augmented reality collaboration in assembly. Ergonomics 2024:1 View
  116. Ahmed M, Marín M, Gangas P, Bentlage E, Louro C, Brach M. Improving the Acceptability and Implementation of Information and Communication Technology–Based Health Care Platforms for Older People With Dementia or Parkinson Disease: Qualitative Study Results of Key Stakeholders. JMIR Formative Research 2024;8:e58501 View
  117. Hisler G, Young K, Cumpanasoiu D, Palacios J, Duffy D, Enrique A, Keegan D, Richards D. Incorporating a deep‐learning client outcome prediction tool as feedback in supported internet‐delivered cognitive behavioural therapy for depression and anxiety: A randomised controlled trial within routine clinical practice. Counselling and Psychotherapy Research 2024 View
  118. Kim S. Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT. Technologies 2024;12(5):68 View
  119. Groom L, Schoenthaler A, Mann D, Brody A, Silva J. Construction of the Digital Health Equity-Focused Implementation Research Conceptual Model - Bridging the Divide Between Equity-focused Digital Health and Implementation Research. PLOS Digital Health 2024;3(5):e0000509 View
  120. Nelson E, Verhagen T, Vollenbroek-Hutten M, Noordzij M. When it is part of me, I can do it: Using embodied empowerment to predict adherence to wearable self-care technology. Computers in Human Behavior 2024;158:108314 View
  121. Kechagias E, Papadopoulos G, Rokai I. Evaluating the Impact of Digital Health Interventions on Workplace Health Outcomes: A Systematic Review. Administrative Sciences 2024;14(6):131 View
  122. Wasic C, Erzgräber R, Unger-Büttner M, Donath C, Böhme H, Graessel E. What helps, what hinders?—Focus group findings on barriers and facilitators for mobile service robot use in a psychosocial group therapy for people with dementia. Frontiers in Robotics and AI 2024;11 View
  123. Ludeña-Poma J, Rojas-Gallegos S, Solano-Ortiz L, Castro-Chavez Y, Chahua-Borda D, Ludeña-Poma J. Influence of resistance to use, perceived ease of use, perceived usefulness, and facilitating conditions in the intention to use telemedicine in Peru. Pharmacia 2024;71:1 View
  124. 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 2024:105537 View

Books/Policy Documents

  1. Tamim S, Danawi H. Instructional Design Exemplars in eHealth and mHealth Education Interventions. View
  2. Taylor A. Healthcare Technology in Context. View
  3. Garcia M, Garcia P. Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines. View
  4. Hayotte M, d'Arripe-Longueville F. Psychologie du Sport et de L'activité Physique. View
  5. Katke K. Comparative Analysis of Digital Consciousness and Human Consciousness. View
  6. Al-Afeef M, Alsmadi A, Al-Okaily M, Al-Sartawi A. Artificial Intelligence and Economic Sustainability in the Era of Industrial Revolution 5.0. View