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

User Needs and Competencies (271) Participatory Medicine & E-Patients (758) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (538) Design and Usability of Consumer Health Tech and Home Monitoring Devices (187) Adoption and Change Management of eHealth Systems (670) Electronic Health Records (961) Usability of Apps and User Perceptions of mHealth (892)

Published on in Vol 6, No 4 (2019): Oct-Dec

Empirical Research on Acceptance of Digital Technologies in Medicine Among Patients and Healthy Users: Questionnaire Study

Empirical Research on Acceptance of Digital Technologies in Medicine Among Patients and Healthy Users: Questionnaire Study

Empirical Research on Acceptance of Digital Technologies in Medicine Among Patients and Healthy Users: Questionnaire Study

Authors of this article:

Sabur Safi1 Author Orcid Image ;   Gerhard Danzer1 Author Orcid Image ;   Kurt JG Schmailzl1 Author Orcid Image
Article Authors Cited by (22) Tweetations (1) Metrics

Journals

  1. Ko C, Chou C. Apply the SERVQUAL Instrument to Measure Service Quality for the Adaptation of ICT Technologies: A Case Study of Nursing Homes in Taiwan. Healthcare 2020;8(2):108 View
  2. Kowalska M, Gładyś A, Kalańska-Łukasik B, Gruz-Kwapisz M, Wojakowski W, Jadczyk T. Readiness for Voice Technology in Patients With Cardiovascular Diseases: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(12):e20456 View
  3. Morgiève M, Mesdjian P, Las Vergnas O, Bury P, Demassiet V, Roelandt J, Sebbane D. Social Representations of e-Mental Health Among the Actors of the Health Care System: Free-Association Study. JMIR Mental Health 2021;8(5):e25708 View
  4. Aminoff H, Meijer S, Arnelo U, Frennert S. Telemedicine for Remote Surgical Guidance in Endoscopic Retrograde Cholangiopancreatography: Mixed Methods Study of Practitioner Attitudes. JMIR Formative Research 2021;5(1):e20692 View
  5. Bhatia A, Kara J, Janmohamed T, Prabhu A, Lebovic G, Katz J, Clarke H. User Engagement and Clinical Impact of the Manage My Pain App in Patients With Chronic Pain: A Real-World, Multi-site Trial. JMIR mHealth and uHealth 2021;9(3):e26528 View
  6. Lennox-Chhugani N, Chen Y, Pearson V, Trzcinski B, James J. Women’s attitudes to the use of AI image readers: a case study from a national breast screening programme. BMJ Health & Care Informatics 2021;28(1):e100293 View
  7. Fritsch S, Blankenheim A, Wahl A, Hetfeld P, Maassen O, Deffge S, Kunze J, Rossaint R, Riedel M, Marx G, Bickenbach J. Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. DIGITAL HEALTH 2022;8:205520762211167 View
  8. Buhr L, Kaufmann P, Jörß K. Attitudes of Patients With Chronic Heart Failure Toward Digital Device Data for Self-documentation and Research in Germany: Cross-sectional Survey Study. JMIR Cardio 2022;6(2):e34959 View
  9. Lo Presti L, Testa M, Maggiore G, Marino V. Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis. BMC Health Services Research 2022;22(1) View
  10. Matthias K, Honekamp I, De Santis K. The Influence of Sex, Gender, or Age on Outcomes of Digital Technologies for Treatment and Monitoring of Chronic Obstructive Pulmonary Disease: Protocol for an Overview of Systematic Reviews. JMIR Research Protocols 2022;11(10):e40538 View
  11. Carrera A, Zoccarato F, Mazzeo M, Lettieri E, Toletti G, Bertoli S, Castelnuovo G, Fresa E. What drives patients’ acceptance of Digital Therapeutics? Establishing a new framework to measure the interplay between rational and institutional factors. BMC Health Services Research 2023;23(1) View
  12. Blanchard M, Backhaus L, Ming Azevedo P, Hügle T. An mHealth App for Fibromyalgia-like Post–COVID-19 Syndrome: Protocol for the Analysis of User Experience and Clinical Data. JMIR Research Protocols 2022;11(2):e32193 View
  13. Lyu M, Zhao Q, Yang Y, Hao X, Qin Y, Li K. Benefits of and barriers to telehealth for the informal caregivers of elderly individuals in rural areas: A scoping review. Australian Journal of Rural Health 2022;30(4):442 View
  14. Calegari L, Tortorella G, Fettermann D. Getting Connected to M-Health Technologies through a Meta-Analysis. International Journal of Environmental Research and Public Health 2023;20(5):4369 View
  15. Atukunda I, Semulimi A, Bwambale F, Mumbere J, Twinamasiko N, Nakabuye M, Mukisa J, Mukunya D, Batte C, Ebrahimi M. Acceptability of the Wulira app in assessing occupational hearing loss among workers in a steel and iron manufacturing industry. PLOS ONE 2022;17(10):e0266858 View
  16. Geng Y, Demuyakor J. Applications of Digital Mobile Technologies in Response to the COVID-19 Pandemic: Some Evidence from Frontline Healthcare Workers in Three Tertiary Hospitals in Ghana. Online Journal of Communication and Media Technologies 2022;12(4):e202226 View
  17. Calegari L, R.D. B, Fettermann D. A meta-analysis of a comprehensive m-health technology acceptance. International Journal of Lean Six Sigma 2024;15(1):1 View
  18. Carrera A, Zoccarato F, Mazzeo M, Lettieri E, Toletti G, Fresa E. What Drives Patients’ Acceptance of Digital Therapeutics? The Interplay between Rational and Institutional Factors. SSRN Electronic Journal 2022 View
  19. Vilalta-Abella F, Porras-Garcia B, Ghiţă A, Vacas-Moreira M, Prat-Galbany M, Gutiérrez-Maldonado J. VirtualPain. Preliminary findings from a group-based digital therapeutics intervention for fibromyalgia. British Journal of Pain 2024;18(2):155 View
  20. Kreyenschulte T, Bohnet-Joschko S. Transparenz und Effizienz durch digitale Gesundheitsversorgung? Ergebnisse eines Surveys der Generation Y. Das Gesundheitswesen 2024;86(01):49 View
  21. Longhini J, Rossettini G, Palese A. Digital health competencies and affecting factors among healthcare professionals: additional findings from a systematic review. Journal of Research in Nursing 2024;29(2):156 View
  22. Zoccarato F, Manzoni M, Minotti D, Lettieri E, Boaretto A. Unveiling the interplay between rational, psychological and functional factors in continuous glucose monitoring early adoption: Novel evidence from the Dexcom ONE case in Italy. BMC Health Services Research 2024;24(1) View