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

Digital Health Reviews (1558) Theoretical Frameworks and Concepts (299) Adoption and Change Management of eHealth Systems (814)

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
Article Authors Cited by (199) Tweetations (18) Metrics

Journals

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  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, Dina 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 National Health Service Alcohol Advice Web Page: Qualitative Interview Process Evaluation. Journal of Medical Internet Research 2024;26:e42319 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;67(12):1828 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 2025;25(1) 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;190:105537 View
  125. Maas B, Speelberg D, de Vries G, Valenti G, Ejupi A, Bloem B, Darweesh S, de Vries N. Patient Experience and Feasibility of a Remote Monitoring System in Parkinson's Disease. Movement Disorders Clinical Practice 2024;11(10):1223 View
  126. Bahari G, Mutambik I, Almuqrin A, Alharbi Z. Trust: How It Affects the Use of Telemedicine in Improving Access to Assistive Technology to Enhance Healthcare Services. Risk Management and Healthcare Policy 2024;Volume 17:1859 View
  127. Jurišić I, Bogataj D. Enhancing Digital Government Engagement Among Older Adults: Literature Review and Research Agenda. IFAC-PapersOnLine 2024;58(3):256 View
  128. DuBose L, Fan Q, Fisher L, Hoang M, Salha D, Lee S, Ory M, Falohun T. Development and Evaluation of a Web-Based Platform for Personalized Educational and Professional Assistance for Dementia Caregivers: Proposal for a Mixed Methods Study. JMIR Research Protocols 2024;13:e64127 View
  129. Mueller E, Cochrane A, Campbell M, Nikkhah S, Holden R, Miller A. An mHealth App to Support Caregivers in the Medical Management of Their Child With Cancer: Beta Stage Usability Study. JMIR Cancer 2024;10:e52128 View
  130. Blake H, Njah M, Babey M, Asongwe E, Junkins A, Dionne J, Montgomery A, Washington T, Ivankova N, Smith T, Jolly P, Ayatollahi H. Understanding female sex workers’ acceptance of secret Facebook group for HIV prevention in Cameroon. PLOS Digital Health 2024;3(8):e0000562 View
  131. 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
  132. Hvalič-Touzery S, Šetinc M, Dolničar V, Chen Q. Exploring Acceptance Factors for Welfare Technology among Nurses in Non‐Clinical Care for Older Adults: A Scoping Review. Health & Social Care in the Community 2024;2024(1) View
  133. Borsoi L, Listorti E, Ciani O. Artificial-Intelligence Cloud-Based Platform to Support Shared Decision-Making in the Locoregional Treatment of Breast Cancer: Protocol for a Multidimensional Evaluation Embedded in the CINDERELLA Clinical Trial. PharmacoEconomics - Open 2024;8(6):945 View
  134. Alenazi M, Sas C. Creating and Managing Transactions and Budgets: Analysis of Marketplace Descriptions and Functionality Review of Budgeting Apps. Interacting with Computers 2024 View
  135. Zhang B, Ding P, Hui V, Wong K, Liu Y, Liu Z, Xiao Q, Qin J. Technology acceptance of the video game-based swallowing function training system among healthcare providers and dysphagia patients: A qualitative study. DIGITAL HEALTH 2024;10 View
  136. Qi W, Hu G, Zou T, Wu Q, Liu F, Zhang J. Effects of self-management education integrated nursing on cancer patients with PICC placement: a systematic review and meta-analysis. Journal of Research in Nursing 2024;29(7):515 View
  137. Ishengoma F. Revisiting the TAM: adapting the model to advanced technologies and evolving user behaviours. The Electronic Library 2024;42(6):1055 View
  138. Stocker A, Navarro N, Schmitt L, Delagnes M, Doualle A, Mallard V, Entajan F, Guivarc’h K, Masse P, Chaigneau L, Bonneau B, Lapeyre-Mestre M, Arbus C, Yrondi A, Salles J. Acceptability of “DIDE”, a mobile application designed at facilitating care adherence of patients with substance use disorder. Addiction Science & Clinical Practice 2024;19(1) View
  139. Xia R, Yang S. Factors influencing the social acceptance of brain-computer interface technology among Chinese general public: an exploratory study. Frontiers in Human Neuroscience 2024;18 View
  140. Park Y, Tak Y, Kim I, Lee H, Lee J, Lee J, Lee Y. User Experience and Extended Technology Acceptance Model in Commercial Health Care App Usage Among Patients With Cancer: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e55176 View
  141. Aasvik O, Ulleberg P, Hagenzieker M. Simplifying acceptance: A general acceptance factor predicting intentions to use shared autonomous vehicles. Transportation Research Part F: Traffic Psychology and Behaviour 2024;107:1125 View
  142. Howe S, Smak Gregoor A, Uyl-de Groot C, Wakkee M, Nijsten T, Wehrens R. Embedding artificial intelligence in healthcare: An ethnographic exploration of an AI-based mHealth app through the lens of legitimacy. DIGITAL HEALTH 2024;10 View
  143. Cho Y, Kwon G. Understanding service robot adoption and resistance from a service provider perspective. Technological Forecasting and Social Change 2025;210:123885 View
  144. Yuan Q, Yang F, Fu M, Liu X, Chen K, Zeng Q, Liu M, Hu C. Exploring Healthcare Students’ Intention to Use Virtual Reality Simulations in China. CIN: Computers, Informatics, Nursing 2025;43(3) View
  145. Alam P, Bolio A, Lin L, Larson H, Ayatollahi H. Stakeholders’ perceptions of personal health data sharing: A scoping review. PLOS Digital Health 2024;3(11):e0000652 View
  146. Stamate A, Marzan M, Velciu M, Paul C, Spiru L. Advancing user-centric design and technology adoption for aging populations: a multifaceted approach. Frontiers in Public Health 2024;12 View
  147. Stammler B, Karnath H. Augmented und Virtual Reality in der Diagnostik und Therapie von Neglect nach Hirnschädigung. Zeitschrift für Neuropsychologie 2024;35(4):223 View
  148. Olsen S, Lim X, Alder G, Stavric V, Signal N. Factors influencing adoption and sustained use of rehabilitation technologies: a scoping review and qualitative analysis. Disability and Rehabilitation: Assistive Technology 2025;20(4):804 View
  149. Lempe P, Guinemer C, Fürstenau D, Dressler C, Balzer F, Schaaf T. Health Care Social Robots in the Age of Generative AI: Protocol for a Scoping Review. JMIR Research Protocols 2025;14:e63017 View
  150. Jonnalagedda-Cattin M, Moukam Datchoua A, Yakam V, Kenfack B, Petignat P, Thiran J, Schönenberger K, Schmidt N. Barriers and Facilitators to the Preadoption of a Computer-Aided Diagnosis Tool for Cervical Cancer: Qualitative Study on Health Care Providers’ Perspectives in Western Cameroon. JMIR Cancer 2025;11:e50124 View
  151. Sudirman I, Astuty E, Aryanto R. Enhancing Digital Technology Adoption in SMEs Through Sustainable Resilience Strategy: Examining the Role of Entrepreneurial Orientation and Competencies. Journal of Small Business Strategy 2025;35(1) View
  152. Dimanopoulos M, Trenoweth M, De Young A, Kimble R, Griffin B. The acceptability, feasibility and adoption of a co-designed electronic post-injury psychosocial screening tool for carers of children admitted to hospital following injury. Journal of Pediatric Nursing 2025;81:155 View
  153. Nahas C, Gandit M, Monfort E. Engagement in computerized cognitive training instructions by older people. A within-subject design to evaluate comprehension and acceptability of serious games instructions. Frontiers in Aging 2025;6 View
  154. Wu Q, Pask E. Self-management of everyday female health: The role of self-care agency, patient-centered communication, and technology features in the intention to adopt period-tracking apps. Social Science & Medicine 2025;370:117851 View
  155. Malik I, Mushquash A. Acceptance of a mental health app (JoyPopTM) for postsecondary students: a prospective evaluation using the UTAUT2. Frontiers in Digital Health 2025;7 View
  156. Cronin U, Cummins N, O'Sullivan A, O'Sullivan L. Perceived barriers and opportunities to the use of 3D printing in a healthcare system with low adoption: A semi-structured interview study. HRB Open Research 2025;8:35 View
  157. Howe S, Uyl-de Groot C, Wehrens R. Legitimacy as Social Infrastructure: A Critical Interpretive Synthesis of the Literature on Legitimacy in Health and Technology. JMIR Human Factors 2025;12:e48955 View
  158. Shamsujjoha M, Grundy J, Lu Q, Khalajzadeh H, Li L. Better Supporting Human Aspects in Mobile eHealth Apps: Development and Validation of Enhanced Guidelines. ACM Transactions on Software Engineering and Methodology 2025 View
  159. Buawangpong N, Siviroj P, Pinyopornpanish K, Sirikul W. Transcultural Adaptation, Validation, Psychometric Analysis, and Interpretation of the 22-Item Thai Senior Technology Acceptance Model for Mobile Health Apps: Cross-Sectional Study. JMIR Aging 2025;8:e60156 View
  160. Bobrowicz‐Campos E, Camilo C, Pinheiro G. PROTOCOL: Attitudinal Factors Related to the Use of Digital Technologies in Health by Older Adults: An Overview of Reviews. Campbell Systematic Reviews 2025;21(1) View
  161. Yin H, Pan C, Gu J, Yang Y. Perspectives and Requirements of Patients with Prostate Cancer on Mobile Health Interventions During Androgen Deprivation Therapy: A Descriptive Qualitative Study. Journal of Clinical Nursing 2025 View
  162. Hewage S, Kularatna S, Parsonage W, Walters T, McPhail S, Brain D, Allen M. Integrating a Mobile App to Enhance Atrial Fibrillation Care: Key Insights From an Implementation Study Guided by the Consolidated Framework for Implementation Research. Journal of Medical Internet Research 2025;27:e66815 View
  163. Bobrova P. Designing blockchain-based wearables for health monitoring. The Design Journal 2025;28(3):657 View
  164. Rubyan M, Gouseinov Y, Morgan M, Rubyan D, Jahagirdar D, Choberka D, Boyd C, Shuman C. Evaluating the Usability, Acceptability, User Experience, and Design of an Interactive Responsive Platform to Improve Perinatal Nurses’ Stigmatizing Attitudes Toward Substance Use in Pregnancy: Mixed Methods Study. JMIR Human Factors 2025;12:e67685 View
  165. Sip P, Kozłowska M, Ochowiak M, Czysz D, Daroszewski P, Lisiński P. VR Head Tracking as a Useful Tool for the Qualitative Assessment of Cervical Spine Movement. Sensors 2025;25(7):2172 View
  166. Alpandi R, Muhamat A, Ya'acob F, Abdul Aziz D, Kurniasih L. Factors Affecting Household Intention to Use Solar Photovoltaic Technology in Selangor Malaysia. Environment-Behaviour Proceedings Journal 2025;10(31):293 View
  167. Drabarek D, Trinh-Hoang D, Yapa M, Dang T, Vu H, Nguyen T, Do T, Nguyen B, Vu D, Fox G, Bernays S, Mishra S. Examining the challenges in sustaining user engagement with a mobile app to enhance multidrug-resistant tuberculosis (MDR-TB) care in Vietnam and its implications for implementing person-centred mHealth interventions. PLOS Global Public Health 2025;5(4):e0004454 View
  168. Ryan S, Cai W, Bowman R, Doherty G. Fairness Challenges in the Design of Machine Learning Applications for Healthcare. ACM Transactions on Computing for Healthcare 2025 View
  169. Hooper M, Al-Hakeem H, Casola S, Elkader A, Desrocher M, Scratch S. Adapting and providing a virtual psychosocial intervention , iSibWorks , for siblings of youth with disabilities, a qualitative acceptability study. Disability and Rehabilitation 2025:1 View
  170. Alahmari K, Reddy R. The Influence of Medical Culture and Key Factors on Mobile App Usage Frequency and Perceived Effectiveness in Physical Therapy: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e68406 View
  171. Lim W, Jasim K, Malathi A. Service robots in healthcare: Toward a healthcare service robot acceptance model (sRAM). Technology in Society 2025:102932 View
  172. Zhang Q, Li Z, Jiang L, Gao Y, Gong T, Li J, Zhou Z. Effects of an exercise intervention based on mobile health technology on the physical health of overweight and obese male university students：A randomized controlled trial (Preprint). Journal of Medical Internet Research 2024 View
  173. Su J, Chan M, Ghisi G, Kwan R, Wong A, Lin R, Yeung J, He Q, Pepera G, Batalik L. Real-World Mobile Health Implementation and Patient Safety: Multicenter Qualitative Study. Journal of Medical Internet Research 2025;27:e71086 View
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  179. Chau L, Murphy J, Nguyen V, Tran H, Minas H, Lam R, Hayashi K, Nguyen X, Krebs E, O'Neil J. Challenges and mitigation strategies in the development and feasibility assessment of a digital mental health intervention for depression (VMood) in Vietnam: Lessons learned (Preprint). JMIR Formative Research 2024 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
  7. Singh K, Camenga D, Aneni K, Hieftje K. A Clinical Lens on Pediatric Engineering. View

Conference Proceedings

  1. Nurgalieva L, Ryan S, Balaskas A, Lindqvist J, Doherty G. CHI Conference on Human Factors in Computing Systems. Public Views on Digital COVID-19 Certificates: a Mixed Methods User Study View
  2. Nadal C, McCully S, Doherty K, Sas C, Doherty G. CHI Conference on Human Factors in Computing Systems. The TAC Toolkit: Supporting Design for User Acceptance of Health Technologies from a Macro-Temporal Perspective View
  3. Bowie-DaBreo D, Sas C, Iles-Smith H, Sünram-Lea S. CHI Conference on Human Factors in Computing Systems. User Perspectives and Ethical Experiences of Apps for Depression: A Qualitative Analysis of User Reviews View
  4. Ouedraogo I. 2021 Eighth International Conference on eDemocracy & eGovernment (ICEDEG). Improving Health Literacy in Rural Communities in Africa using Mobile Technologies for an Inclusive Health Service View
  5. Takaki K, Nozaki E, Kanai T, Hautasaari A, Kashio A, Sato D, Kamogashira T, Uranaka T, Urata S, Koyama H, Yamasoba T, Kawahara Y. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. asEars: Designing and Evaluating the User Experience of Wearable Assistive Devices for Single-Sided Deafness View
  6. Bowman R, Nadal C, Morrissey K, Thieme A, Doherty G. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Using Thematic Analysis in Healthcare HCI at CHI: A Scoping Review View
  7. Fahlevi M, Ouanes K. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON RESEARCH ADVANCES IN ENGINEERING AND TECHNOLOGY - ITechCET 2022. The future of mobile health applications among millennials in Indonesia: Lessons learned for COVID-19 View
  8. Maulana F, Lestari D, Rahayu A, Prasetyo Adi P, Puspitasari C, Persada S. 2024 International Seminar on Intelligent Technology and Its Applications (ISITIA). Factors Affecting the Willingness to Share Data in Mobile Health (mHealth) Apps in Indonesia View
  9. Padmavilochanan A, Anitha P, Suresh A, Refoulouma S, S S, Sheshadri S, Rao B. 2024 IEEE International Symposium on Technology and Society (ISTAS). Tech for All: Innovating Inclusive Adoption Measurement View
  10. Depari D, Fauzi R, Fa’rifah R. 2024 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS). Sentiment Classification of Features in e-Health Adoption: A Technical and Security Approach Using Convolutional Neural Network (CNN) View
  11. Deshmukh R, Kanojiya R, Jivtode P, Deshmukh P, Khan A. 2025 International Conference on Automation and Computation (AUTOCOM). Mental Health Well-Being Assessment and Surveillance Mobile App View
  12. Zhu J, Lolla S, Agnihotri M, Asgari Tappeh S, Guluzade L, Agapie E, Sas C. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. A Systematic Review and Meta-Analysis of Research on Goals for Behavior Change View
  13. Cameron H, Reyes-Cruz G, Piskopani A, Barnard P, Boudouraki A, Caleb-Solly P, Castle-Green S, Fischer J, Hyde R, Kucukyilmaz A, Maior H. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Acceptability, Acceptance and Adoption of Telepresence Robots in Museums: The Museum Professionals' Perspectives View