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

  1. Mugabirwe B, Flickinger T, Cox L, Ariho P, Dillingham R, Okello S. Acceptability and feasibility of a mobile health application for blood pressure monitoring in rural Uganda. JAMIA Open 2021;4(3) View
  2. Bowie-DaBreo D, Sünram-Lea S, Sas C, Iles-Smith H. Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis. JMIR Formative Research 2020;4(11):e14988 View
  3. 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
  4. Migliavada R, Ricci F, Torri L. A three-year longitudinal study on the use of pre-ordering in a university canteen. Appetite 2021;163:105203 View
  5. Wang X, Markert C, Sasangohar F. Investigating Popular Mental Health Mobile Application Downloads and Activity During the COVID-19 Pandemic. Human Factors: The Journal of the Human Factors and Ergonomics Society 2023;65(1):50 View
  6. Perski O, Short C. Acceptability of digital health interventions: embracing the complexity. Translational Behavioral Medicine 2021;11(7):1473 View
  7. Bartlett Y, Kenning C, Crosland J, Newhouse N, Miles L, Williams V, McSharry J, Locock L, Farmer A, French D. Understanding acceptability in the context of text messages to encourage medication adherence in people with type 2 diabetes. BMC Health Services Research 2021;21(1) View
  8. Dolezel M, Smutny Z. Usage of eHealth/mHealth Services among Young Czech Adults and the Impact of COVID-19: An Explorative Survey. International Journal of Environmental Research and Public Health 2021;18(13):7147 View
  9. Aminoff H, Meijer S. Context and complexity in telemedicine evaluation: Work Domain Analysis in a surgical setting (Preprint). JMIR Perioperative Medicine 2020 View
  10. Husebø A. Stakeholders’ Perspectives on eHealth Support in Colorectal Cancer Survivorship: Qualitative Interview Study. JMIR Cancer 2021;7(3):e28279 View
  11. 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
  12. Fessler A, Cash P, Thorhauge M, Haustein S. A public transport based crowdshipping concept: Results of a field test in Denmark. Transport Policy 2023;134:106 View
  13. Liverani M, Ir P, Wiseman V, Perel P. User experiences and perceptions of health wearables: an exploratory study in Cambodia. Global Health Research and Policy 2021;6(1) View
  14. Jardine J, Bowman R, Doherty G. Digital Interventions to Enhance Readiness for Psychological Therapy: Scoping Review. Journal of Medical Internet Research 2022;24(8):e37851 View
  15. Kebede A, Ozolins L, Holst H, Galvin K. Digital Engagement of Older Adults: Scoping Review. Journal of Medical Internet Research 2022;24(12):e40192 View
  16. Ehrler F, Tuor C, Rey R, Trompier R, Berger A, Ramusi M, Courvoisier D, Siebert J. Effectiveness of a Mobile App (PIMPmyHospital) in Reducing Therapeutic Turnaround Times in an Emergency Department: Protocol for a Pre- and Posttest Study. JMIR Research Protocols 2023;12:e43695 View
  17. Siebert J, Gosetto L, Sauvage M, Bloudeau L, Suppan L, Rodieux F, Haddad K, Hugon F, Gervaix A, Lovis C, Combescure C, Manzano S, Ehrler F. Usability Testing and Technology Acceptance of an mHealth App at the Point of Care During Simulated Pediatric In- and Out-of-Hospital Cardiopulmonary Resuscitations: Study Nested Within 2 Multicenter Randomized Controlled Trials. JMIR Human Factors 2022;9(1):e35399 View
  18. 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
  19. Lin-Hi N, Haensse L, Hollands L, Blumberg I. The role of ethics in technology acceptance: analysing resistance to new health technologies on the example of a COVID-19 contact-tracing app. Journal of Decision Systems 2024;33(1):164 View
  20. 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
  21. Thomas R, O'Hare G, Coyle D. Understanding technology acceptance in smart agriculture: A systematic review of empirical research in crop production. Technological Forecasting and Social Change 2023;189:122374 View
  22. Healy D, Flynn A, Conlan O, McSharry J, Walsh J. Older Adults’ Experiences and Perceptions of Immersive Virtual Reality: Systematic Review and Thematic Synthesis. JMIR Serious Games 2022;10(4):e35802 View
  23. Newn J, Kelly R, D'Alfonso S, Lederman R. Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(3):1 View
  24. Vázquez-Paz A, Michel-Nava R, Delgado-Pérez E, Lares-Michel M, Espinosa-Curiel I. Parents’ mHealth App for Promoting Healthy Eating Behaviors in Children: Feasibility, Acceptability, and Pilot Study. Journal of Medical Systems 2022;46(11) View
  25. Firima E, Gonzalez L, Huber J, Belus J, Raeber F, Gupta R, Mokhohlane J, Mphunyane M, Amstutz A, Labhardt N. Community-based models of care for management of type 2 diabetes mellitus among non-pregnant adults in sub-Saharan Africa: a scoping review protocol. F1000Research 2022;10:535 View
  26. Deng J, Huang S, Wang L, Deng W, Yang T. Conceptual Framework for Smart Health: A Multi-Dimensional Model Using IPO Logic to Link Drivers and Outcomes. International Journal of Environmental Research and Public Health 2022;19(24):16742 View
  27. Tibbs M, O'Reilly A, Dwan O'Reilly M, Fitzgerald A. Online synchronous chat counselling for young people aged 12–25: a mixed methods systematic review protocol. BMJ Open 2022;12(4):e061084 View
  28. Paganin G, Apolinário-Hagen J, Simbula S. Introducing mobile apps to promote the well-being of German and Italian university students. A cross-national application of the Technology Acceptance Model. Current Psychology 2023;42(31):27562 View
  29. Wong K, Thiagalingam A, Kumar S, Marschner S, Kunwar R, Bailey J, Kok C, Usherwood T, Chow C. User Perceptions and Experiences of a Handheld 12-Lead Electrocardiographic Device in a Clinical Setting: Usability Evaluation. JMIR Cardio 2021;5(2):e21186 View
  30. 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
  31. Liu Y, Liang Z, Li C, Guo J, Zhao G. An Investigation into the Adoption Behavior of mHealth Users: From the Perspective of the Push-Pull-Mooring Framework. Sustainability 2022;14(21):14372 View
  32. Almoallim S, Sas C. Toward Research-Informed Design Implications for Interventions Limiting Smartphone Use: Functionalities Review of Digital Well-being Apps. JMIR Formative Research 2022;6(4):e31730 View
  33. Vial S, Boudhraâ S, Dumont M. Human-Centered Design Approaches in Digital Mental Health Interventions: Exploratory Mapping Review. JMIR Mental Health 2022;9(6):e35591 View
  34. Dostie R, Gaboury I, Cinar E, Camden C. Acceptability of Pediatric Telerehabilitation Interventions Provided by Physical Therapists and Occupational Therapists—A Scoping Review. Physical & Occupational Therapy In Pediatrics 2022;42(6):615 View
  35. Li C, Wang P, Zhang M, Qu M, Cai Q, Meng J, Fan H, Sun L. Analysis of intention and influencing factors on mobile information follow-up service in HIV/AIDS in a city in China. Frontiers in Public Health 2022;10 View
  36. Szeto S, Wan H, Alavinia M, Dukelow S, MacNeill H. Effect of mobile application types on stroke rehabilitation: a systematic review. Journal of NeuroEngineering and Rehabilitation 2023;20(1) View
  37. O’Connor S, Treanor C, Ward E, Wickens R, O’Connell A, Culliford L, Rogers C, Gidman E, Peto T, Knox P, Burton B, Lotery A, Sivaprasad S, Reeves B, Hogg R, Donnelly M. Patient Acceptability of Home Monitoring for Neovascular Age-Related Macular Degeneration Reactivation: A Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(20):13714 View
  38. Nurgalieva L, Ryan S, Doherty G. Attitudes Towards COVID-19 Contact Tracing Apps: A Cross-National Survey. IEEE Access 2023;11:16509 View
  39. Musyoka C, Mbwayo A, Donovan D, Mathai M, König L. Student peer mentoring: Feasibility and acceptability of mHealth-based tool for alcohol and substance abuse prevention by peer mentors at a university in Kenya. PLOS Digital Health 2023;2(1):e0000177 View
  40. Sporrel K, Wang S, Ettema D, Nibbeling N, Krose B, Deutekom M, de Boer R, Simons M. Just-in-Time Prompts for Running, Walking, and Performing Strength Exercises in the Built Environment: 4-Week Randomized Feasibility Study. JMIR Formative Research 2022;6(8):e35268 View
  41. Liu K, Tao D. The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services. Computers in Human Behavior 2022;127:107026 View
  42. Hvalič‐Touzery S, Dolničar V, Prevodnik K. Factors influencing informal carers' acceptance of assistive telecare systems in the pre‐ and post‐implementation phase: A scoping study. Health & Social Care in the Community 2022;30(5) View
  43. Ramachandran H, Jiang Y, Teo J, Yeo T, Wang W. Technology Acceptance of Home-Based Cardiac Telerehabilitation Programs in Patients With Coronary Heart Disease: Systematic Scoping Review. Journal of Medical Internet Research 2022;24(1):e34657 View
  44. Frishammar J, Essén A, Bergström F, Ekman T. Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them. Technological Forecasting and Social Change 2023;189:122319 View
  45. Alharbi N, AlGhanmi A, Fahlevi M. Adoption of Health Mobile Apps during the COVID-19 Lockdown: A Health Belief Model Approach. International Journal of Environmental Research and Public Health 2022;19(7):4179 View
  46. Ssemata A, Bwalya C, Muhumuza R, Ndekezi D, Mbewe M, Simwinga M, Bond V, Seeley J. Assessing knowledge, acceptability and social implications of a peer-to-peer HIV self-testing kit distribution model among adolescents aged 15–24 in Zambia and Uganda—HISTAZU: a mixed-method study protocol. BMJ Open 2022;12(5):e059340 View
  47. Hakimi T, Jaafar J, Aziz N. What factors influence the usage of mobile banking among digital natives?. Journal of Financial Services Marketing 2023;28(4):763 View
  48. Carter B, Saron H, Blake L, Eyton-Chong C, Dee S, Evans L, Harris J, Hughes H, Jones D, Lambert C, Lane S, Mehta F, Peak M, Preston J, Siner S, Sefton G, Carrol E, Vall-llosera Camps M. Clinical utility and acceptability of a whole-hospital, pro-active electronic paediatric early warning system (the DETECT study): A prospective e-survey of parents and health professionals. PLOS ONE 2022;17(9):e0273666 View
  49. Amdie F, Luctkar-Flude M, Snelgrove-Clarke E, Sawhney M, Balcha S, Woo K. Feasibility of Virtual Simulation-Based Diabetes Foot Care Education in Patients with Diabetes in Ethiopia: Protocol for a Randomized Controlled Trial. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:995 View
  50. 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
  51. Carter B, Saron H, Siner S, Preston J, Peak M, Mehta F, Lane S, Lambert C, Jones D, Hughes H, Harris J, Evans L, Dee S, Eyton-Chong C, Sefton G, Carrol E. Health professionals’ initial experiences and perceptions of the acceptability of a whole-hospital, pro-active electronic paediatric early warning system (the DETECT study): a qualitative interview study. BMC Pediatrics 2022;22(1) View
  52. Tuominen M, Koski P, Axelin A, Stenholm S, Leskinen T. Acceptable, useful, and ineffective? Recent retirees’ experiences of a 12-month activity tracker-based physical activity intervention. DIGITAL HEALTH 2023;9:205520762211474 View
  53. Byrd T, Speigel P, Cameron K, O’Leary K. Barriers to Adoption of a Secure Text Messaging System: a Qualitative Study of Practicing Clinicians. Journal of General Internal Medicine 2023;38(5):1224 View
  54. Hajesmaeel-Gohari S, Khordastan F, Fatehi F, Samzadeh H, Bahaadinbeigy K. The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health. BMC Medical Informatics and Decision Making 2022;22(1) View
  55. 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
  56. Bults M, van Leersum C, Olthuis T, Bekhuis R, den Ouden M. Mobile Health Apps for the Control and Self-management of Type 2 Diabetes Mellitus: Qualitative Study on Users’ Acceptability and Acceptance. JMIR Diabetes 2023;8:e41076 View
  57. Liu Y, Lu X, Li C, Zhao G. The Influence of Content Presentation on Users’ Intention to Adopt mHealth Applications: Based on the S-O-R Theoretical Model. Sustainability 2022;14(16):9900 View
  58. Hansen M, Chen R, Hirth J, Langabeer J, Zoorob R. Impact of COVID-19 lockdown on patient-provider electronic communications. Journal of Telemedicine and Telecare 2023:1357633X2211468 View
  59. Lian T, Reid H, Rader A, Dewitt-Feldman S, Hezarkhani E, Gu E, Scott M, Kutzer K, Sandhu S, Crowder C, Ito K, Eisenson H, Bettger J, Shaw R, Lewinski A, Ming D, Bosworth H, Zullig L, Batch B, Drake C. A Tailored SMS Text Message–Based Intervention to Facilitate Patient Access to Referred Community-Based Social Needs Resources: Protocol for a Pilot Feasibility and Acceptability Study. JMIR Research Protocols 2022;11(10):e37316 View
  60. Bardram J, Cramer-Petersen C, Maxhuni A, Christensen M, Bækgaard P, Persson D, Lind N, Christensen M, Nørgaard K, Khakurel J, Skinner T, Kownatka D, Jones A. DiaFocus: A Personal Health Technology for Adaptive Assessment in Long-Term Management of Type 2 Diabetes. ACM Transactions on Computing for Healthcare 2023;4(2):1 View
  61. 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
  62. Vietzke J, Schenk L, Baer N. Middle-aged and older adults’ acceptance of mobile nutrition and fitness tools: A qualitative typology. DIGITAL HEALTH 2023;9:205520762311637 View
  63. Conway A, Ryan A, Harkin D, Mc Cauley C, Goode D. A review of the factors influencing adoption of digital health applications for people living with dementia. DIGITAL HEALTH 2023;9:205520762311629 View
  64. Carey N, Abathun E, Maguire R, Wodaje Y, Royce C, Ayers N. Co-design and prototype development of the ‘Ayzot App’: A mobile phone based remote monitoring system for palliative care. Palliative Medicine 2023;37(5):771 View
  65. Martinez Agulleiro L, Patil B, Firth J, Sawyer C, Amann B, Fonseca F, Torrens M, Perez V, Castellanos F, Kane J, Guinart D. A systematic review of digital interventions for smoking cessation in patients with serious mental illness. Psychological Medicine 2023;53(11):4856 View
  66. Achury Saldaña D, Rodríguez Parrado I, González R. Cardio SEM. CIN: Computers, Informatics, Nursing 2023;41(9):673 View
  67. Van Goethem V, Dierickx S, Matthys O, Northouse L, Lund L, Jordan C, Turola E, van der Wel M, Scott D, Harding R, Deliens L, Lapeire L, Hudson P, De Vleminck A, Cohen J. A self-management psychoeducational eHealth program to support and empower people with advanced cancer and their family caregivers: Development using the scrum methodology. Internet Interventions 2023;33:100659 View
  68. Dostie R, Gaboury I, Trottier N, Hurtubise K, Camden C. Acceptability of a Multimodal Telerehabilitation Intervention for Children Ages 3–8 Years with Motor Difficulties: Results of a Qualitative Study. Developmental Neurorehabilitation 2023;26(5):287 View
  69. Reinders P, Augustin M, Kirsten N, Fleyder A, Otten M. Digital health interventions in dermatology—Mapping technology and study parameters of systematically identified publications. Journal of the European Academy of Dermatology and Venereology 2023;37(12):2440 View
  70. Putra R, Astuti E, Nurrachman A, Putri D, Ghazali A, Pradini T, Prabaningtyas D. Convolutional neural networks for automated tooth numbering on panoramic radiographs: A scoping review. Imaging Science in Dentistry 2023;53(4):271 View
  71. Sallam M, Salim N, Barakat M, Al-Mahzoum K, Al-Tammemi A, Malaeb D, Hallit R, Hallit S. Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study. JMIR Medical Education 2023;9:e48254 View
  72. Louart S, Hedible G, Ridde V. Assessing the acceptability of technological health innovations in sub-Saharan Africa: a scoping review and a best fit framework synthesis. BMC Health Services Research 2023;23(1) View
  73. Shamsujjoha M, Grundy J, Khalajzadeh H, Lu Q, Li L. Developer and End-User Perspectives on Addressing Human Aspects in Mobile eHealth Apps. Information and Software Technology 2024;166:107353 View
  74. Deegan O, Fullen B, Hearty C, Doody C. Acceptability of the combined online interactive mindfulness and exercise programme (MOVE-Online) for adults with chronic pain – A qualitative study. Disability and Rehabilitation 2023:1 View
  75. Manzoor F, Islam Pia N, Rahman R, Bin Rahman N, Debnath D, Shahriar Rahman H, Mohammed Abdul Aziz M, Ferdaus F, Sultana N, Shafiqul Halim K, Gilam Iqbal M, Jahan Ummon I, Vu Binh B, Thi Tra My L, Thi Cuc L, Thanh Tung L, Huy Hoang N, Thi Minh Chinh N, Thi Thanh Huong N, Thi Thuy Chinh P, Thi Thanh Thu M, Ylistalo E, Kunnas K, Huuskonen A, Smolander N, de Sousa Salgueiro Oliveira A, Manuel Garcia do Nascimento Graveto J, Gonçalo Ribeiro Pardal J, Jorge dos Santos Costa P, Miguel dos Santos Dinis Parreira P. HOW DO MEDICAL AND NURSING STUDENTS VIEW HEALTHCARE TECHNOLOGY? A PSYCHOMETRIC VALIDATION STUDY OF THE USABILITY EVALUATION QUESTIONNAIRE IN BANGLADESH. JIM 2023;4(2):23 View
  76. Malik I, Perez A, Toombs E, Schmidt F, Olthuis J, Charlton J, Grassia E, Squier C, Stasiuk K, Bobinski T, Mushquash A. Female youth and mental health service providers' perspectives on the JoyPop™ app: a qualitative study. Frontiers in Digital Health 2023;5 View
  77. Andrews N, Ireland D, Vijayakumar P, Burvill L, Hay E, Westerman D, Rose T, Schlumpf M, Strong J, Claus A. Acceptability of a Pain History Assessment and Education Chatbot (Dolores) Across Age Groups in Populations With Chronic Pain: Development and Pilot Testing. JMIR Formative Research 2023;7:e47267 View
  78. Sidek N, Tengku Ismail T, Kamalakannan S, Chen X, Romli M, Mat Said M, Papachristou Nadal I, Ibrahim K, Musa K. A mixed-methods study on the implementation of a mobile health application (mHealth app) for stroke caregivers in Malaysia: healthcare providers’ perspective. Frontiers in Neurology 2023;14 View
  79. Deng J, Pan Y. Evaluating Influencing Factors of Audiences’ Attitudes toward Virtual Concerts: Evidence from China. Behavioral Sciences 2023;13(6):478 View
  80. Zhang M, Zhang H, Zhu R, Yang H, Chen M, Wang X, Li Z, Xiong Z. Factors affecting the willingness of patients with type 2 diabetes to use digital disease management applications: a cross-sectional study. Frontiers in Public Health 2023;11 View
  81. Mdoe P, Mduma E, Rivenes Lafontan S, Ersdal H, Massay C, Daudi V, Kayera D, Mwashemela S, Moshiro R, Kamala B. Healthcare Workers’ Perceptions on the “SaferBirths Bundle of Care”: A Qualitative Study. Healthcare 2023;11(11):1589 View
  82. Gauthier-Beaupré A, Grosjean S. Understanding acceptability of digital health technologies among francophone-speaking communities across the world: a meta-ethnographic study. Frontiers in Communication 2023;8 View
  83. Thanh Tung L, Huy Hoang N, Thi Minh Chinh N, Thi Thanh Huong N, Thi Thanh Thu M, Quang Trung T, Thi Thu Huyen D, Thi Thu Huong N, Shafiqul Halim K, Gilam Iqbal M, Jahan Ummon I, Mohammed Abdul Aziz M, Ferdaus F, Sultana N, Manzoor F, Islam Pia N, Rahman R, Bin Rahman N, Ylistalo E, Kunnas K, Huuskonen A, Smolander N, Manuel Garcia do Nascimento Graveto J, de Sousa Salgueiro Oliveira A, Gonçalo Ribeiro Pardal J, Jorge dos Santos Costa P, Miguel dos Santos Dinis Parreira P. HOW DO NURSING STUDENTS PERCEIVE HEALTHCARE TECHNOLOGY? A PSYCHOMETRIC VALIDATION STUDY OF THE USABILITY EVALUATION QUESTIONNAIRE IN VIETNAM. JIM 2023;4(2):65 View
  84. 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
  85. Huwa J, Tweya H, Mureithi M, Kiruthu-Kamamia C, Oni F, Chintedza J, Chiwaya G, Waweru E, Kudzala A, Wasunna B, Ndhlovu D, Bisani P, Feldacker C, Dulli L. “It reminds me and motivates me”: Human-centered design and implementation of an interactive, SMS-based digital intervention to improve early retention on antiretroviral therapy: Usability and acceptability among new initiates in a high-volume, public clinic in Malawi. PLOS ONE 2023;18(7):e0278806 View
  86. 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
  87. Luo C, Yuan R, Mao B, Liu Q, Wang W, He Y. Technology Acceptance of Socially Assistive Robots Among Older Adults and the Factors Influencing It: A Meta-Analysis. Journal of Applied Gerontology 2024;43(2):115 View
  88. Wong R, Hejrati N, Fehlings M. Clinical trials for neuroregenerative therapies for spinal cord injury: what have we learnt so far?. Expert Review of Neurotherapeutics 2023;23(6):487 View
  89. Ming D, Wong W, Jones K, Antonelli R, Gujral N, Gonzales S, Rogers U, Ratliff W, Shah N, King H. Feasibility of Implementation of a Mobile Digital Personal Health Record to Coordinate Care for Children and Youth With Special Health Care Needs in Primary Care: Protocol for a Mixed Methods Study. JMIR Research Protocols 2023;12:e46847 View
  90. Conway A, Ryan A, Harkin D, Mc Cauley C. “It’s Another Feather in My Hat”-Exploring Factors Influencing the Adoption of Apps With People Living With Dementia. Dementia 2023;22(7):1487 View
  91. Raquel Costa-Brito A, Bovolini A, Rúa-Alonso M, Vaz C, Francisco Ortega-Morán J, Blas Pagador J, Vila-Chã C. Home-based exercise interventions delivered by technology in older adults: A scoping review of technological tools usage. International Journal of Medical Informatics 2024;181:105287 View
  92. Firima E, Gonzalez L, Ursprung F, Robinson E, Huber J, Belus J, Raeber F, Gupta R, Deen G, Amstutz A, Leigh B, Weisser M, Labhardt N, Salam R. Community-based models of care for management of type 2 diabetes mellitus among non-pregnant adults in sub-Saharan Africa: A scoping review. PLOS ONE 2023;18(11):e0278353 View
  93. Nahas C, Gandit M, Quillion-Dupré L, Monfort E. How to engage patients in computerized cognitive training: a cognitive rehabilitation expert’s perspective. Disability and Rehabilitation: Assistive Technology 2023:1 View
  94. Duevel J, Baumgartner A, Grosser J, Kreimeier S, Elkenkamp S, Greiner W. A Case Management Approach in Stroke Care. Professional Case Management 2024;29(4):158 View
  95. 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 2023 View
  96. Békés V, Ménard C, Schmitz N, Aafjes-van Doorn K. Therapist-Reported Differences between Teletherapy via Phone and via Videoconferencing. Brain Sciences 2023;13(12):1714 View
  97. Oliveira P, Junior E, Andrade R, Santos I, Neto P. Mobile Health from Developers’ Perspective. SN Computer Science 2023;5(1) View
  98. Jiang Z, Huang X, Wang Z, Liu Y, Huang L, Luo X. Embodied Conversational Agents for Chronic Diseases: Scoping Review. Journal of Medical Internet Research 2024;26:e47134 View
  99. Spoladore D, Mondellini M, Mahroo A, Chicchi-Giglioli I, De Gaspari S, Di Lernia D, Riva G, Bellini E, Setola N, Sacco M. Smart Waiting Room: A Systematic Literature Review and a Proposal. Electronics 2024;13(2):388 View
  100. Ryan S, Nurgalieva L, Doherty G. Perceived Fairness Concerns Within Pandemic Response Technology. Interacting with Computers 2023;35(5):735 View
  101. Posselt J, Baumann E, Dierks M. A qualitative interview study of patients' attitudes towards and intention to use digital interventions for depressive disorders on prescription. Frontiers in Digital Health 2024;6 View
  102. Alsulami S, Konstantinidis S, Wharrad H. Use of wearables among Multiple Sclerosis patients and healthcare Professionals: A scoping review. International Journal of Medical Informatics 2024;184:105376 View
  103. Tadesse A, Mganga A, Dube T, Alacapa J, van Kalmthout K, Letta T, Mleoh L, Garfin A, Maraba N, Charalambous S, Foster N, Jerene D, Fielding K. Feasibility and acceptability of the smart pillbox and medication label with differentiated care to support person-centered tuberculosis care among ASCENT trial participants – A multicountry study. Frontiers in Public Health 2024;12 View
  104. Chang J, Mai Y, Zhang D, Yang X, Li A, Yan W, Wu Y, Chen J. Media use behavior mediates the association between family health and intention to use mobile health devices among older adults: a cross-sectional study (Preprint). Journal of Medical Internet Research 2023 View
  105. Triana A, Saramäki J, Glerean E, Hayward N. Neuroscience meets behavior: A systematic literature review on magnetic resonance imaging of the brain combined with real‐world digital phenotyping. Human Brain Mapping 2024;45(4) View
  106. An J, Fan W, Mittal A, Zhang Y, Chen A. Mobile App Use among Persons with Fibromyalgia: A Cross-sectional Survey. The Journal of Pain 2024:104515 View
  107. Veerman L, Fjermestad K, Vatne T, Sterkenburg P, Derks S, Brouwer-van Dijken A, Willemen A. Cultural applicability and desirability of ‘Broodles’: The first serious game intervention for siblings of children with disabilities. PEC Innovation 2024;4:100277 View
  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. Primary Care Physicians’ and Specialists’ Experiences on acceptance and use of technological innovation: Successful electronic consultation service initiative in Quebec, Canada (Preprint). JMIR Formative Research 2023 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 Acceptability and Implementation of ICT-based Healthcare Platforms for Older Adults with Dementia or Parkinson Disease: Qualitative Study Results of Key Stakeholders (Preprint). JMIR Formative Research 2024 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

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