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

Prescribable Digital Interventions (Digital Therapeutics) (27) Evaluation and Research Methodology for mHealth (210) mHealth for Health Administration (150) mHealth in a Clinical Setting (624)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17447, first published .
Barriers to and Facilitators of the Prescription of mHealth Apps in Australian General Practice: Qualitative Study

Barriers to and Facilitators of the Prescription of mHealth Apps in Australian General Practice: Qualitative Study

Barriers to and Facilitators of the Prescription of mHealth Apps in Australian General Practice: Qualitative Study

Authors of this article:

Oyungerel Byambasuren1 Author Orcid Image ;   Elaine Beller1 Author Orcid Image ;   Tammy Hoffmann1 Author Orcid Image ;   Paul Glasziou1 Author Orcid Image
Article Authors Cited by (45) Tweetations Metrics

Journals

  1. Xu H, Long H. The Effect of Smartphone App–Based Interventions for Patients With Hypertension: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2020;8(10):e21759 View
  2. Cunha B, Rodrigues K, Zaine I, da Silva E, Viel C, Pimentel M. Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying Mobile Health Interventions: Design and Case Reports. Journal of Medical Internet Research 2021;23(7):e24278 View
  3. Tobias G, Sgan-Cohen H, Spanier A, Mann J. Perceptions and Attitudes Toward the Use of a Mobile Health App for Remote Monitoring of Gingivitis and Willingness to Pay for Mobile Health Apps (Part 3): Mixed Methods Study. JMIR Formative Research 2021;5(10):e26125 View
  4. Wangler J, Jansky M. Digitale Gesundheitsanwendungen (DiGA) in der Primärversorgung – Erfahrungen und Beobachtungen von Hausärzt*innen hinsichtlich der Anwendung von DiGA. Prävention und Gesundheitsförderung 2023;18(4):483 View
  5. Hassanaly P, Dufour J. Analysis of the Regulatory, Legal, and Medical Conditions for the Prescription of Mobile Health Applications in the United States, The European Union, and France. Medical Devices: Evidence and Research 2021;Volume 14:389 View
  6. Weermeijer J, Kiekens G, Wampers M, Kuppens P, Myin-Germeys I. Practitioner perspectives on the use of the experience sampling software in counseling and clinical psychology. Behaviour & Information Technology 2024;43(3):540 View
  7. Tretiakov A, Hunter I. User Experiences of the NZ COVID Tracer App in New Zealand: Thematic Analysis of Interviews. JMIR mHealth and uHealth 2021;9(9):e26318 View
  8. Asare M, Lanning B, Isada S, Rose T, Mamudu H. Feasibility of Utilizing Social Media to Promote HPV Self-Collected Sampling among Medically Underserved Women in a Rural Southern City in the United States (U.S.). International Journal of Environmental Research and Public Health 2021;18(20):10820 View
  9. Gray A, Pracjek P, Straiges D. Attitudes To and Uptake of Repertory Software in Homeopathy Clinical Practice—Results of an International Survey. Homeopathy 2023;112(02):097 View
  10. Dahlhausen F, Zinner M, Bieske L, Ehlers J, Boehme P, Fehring L. There's an app for that, but nobody's using it: Insights on improving patient access and adherence to digital therapeutics in Germany. DIGITAL HEALTH 2022;8:205520762211046 View
  11. Arkkukangas M, Cederbom S. Movement toward an evidence-Based, digital fall prevention future—Perceptions from a physiotherapy perspective. Physiotherapy Theory and Practice 2023;39(1):128 View
  12. Ma Y, Luo M. Older people's intention to use medical apps during the COVID-19 pandemic in China: an application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model and the Technology of Acceptance Model (TAM). Ageing and Society 2024;44(7):1515 View
  13. Zhao C, Liang S, Wang X, Gao L, Lai Y, Huang Y, Li J, Chen L, Cai W. User experience of a self-management WeChat applet for patients with neurogenic bladder: A qualitative approach. International Journal of Nursing Sciences 2023;10(1):89 View
  14. Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis. JMIR mHealth and uHealth 2022;10(5):e36284 View
  15. Buss V, Varnfield M, Harris M, Barr M. Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial. JMIR Human Factors 2022;9(3):e38469 View
  16. Wangler J, Jansky M. Welche Potenziale und Mehrwerte bieten DiGA für die hausärztliche Versorgung? – Ergebnisse einer Befragung von Hausärzt*innen in Deutschland. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2022;65(12):1334 View
  17. Della Vecchia C, Leroy T, Bauquier C, Pannard M, Sarradon-Eck A, Darmon D, Dufour J, Preau M. Willingness of French General Practitioners to Prescribe mHealth Apps and Devices: Quantitative Study. JMIR mHealth and uHealth 2022;10(2):e28372 View
  18. Wangler J, Jansky M. Two years of approved digital health applications in Germany – Perspectives and experiences of general practitioners with an affinity for their use. European Journal of General Practice 2023;29(1) View
  19. 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 View
  20. Schroeder T, Seaman K, Nguyen A, Gewald H, Georgiou A. Enablers and inhibitors to the adoption of mHealth apps by patients – A qualitative analysis of German doctors’ perspectives. Patient Education and Counseling 2023;114:107865 View
  21. Nagino K, Okumura Y, Akasaki Y, Fujio K, Huang T, Sung J, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Hurramhon S, Yee A, Miura M, Ohno M, Hirosawa K, Morooka Y, Murakami A, Kobayashi H, Inomata T. Smartphone App–Based and Paper-Based Patient-Reported Outcomes Using a Disease-Specific Questionnaire for Dry Eye Disease: Randomized Crossover Equivalence Study. Journal of Medical Internet Research 2023;25:e42638 View
  22. Holuszko O, Abdulcadir J, Abbott D, Clancy J. Health Care Providers’ Readiness to Adopt an Interactive 3D Web App in Consultations About Female Genital Mutilation/Cutting: Qualitative Evaluation of a Prototype. JMIR Formative Research 2023;7:e44696 View
  23. Jiang S, Xiong M, Rao X, Liang J, Zhu X, Fu H, Chen J, Wang C. Medical Personnel Behavior Preferences for Providing mHealth Service in China: A Discrete Choice Experiment. Risk Management and Healthcare Policy 2023;Volume 16:2405 View
  24. Madi D, Abi Abdallah Doumit M, Hallal M, Moubarak M. Outlooks on using a mobile health intervention for supportive pain management for children and adolescents with cancer: a qualitative study. BMC Nursing 2023;22(1) View
  25. Firdisa D, Abera A, Dereje J, Asefa F. Willingness to Receive mHealth Services Among Patients with Diabetes on Chronic Follow-up in Public Hospitals in Eastern Ethiopia: Multicenter Mixed-Method Study. Diabetes, Metabolic Syndrome and Obesity 2023;Volume 16:4081 View
  26. Albarqouni L, Greenwood H, Dowsett C, Hoffmann T, Thomas R, Glasziou P. Attitudes, beliefs, behaviours and perspectives on barriers and enablers of Australian general practitioners towards non-drug interventions: a national survey. Family Medicine and Community Health 2024;12(1):e002457 View
  27. Schroeder T, Haug M, Georgiou A, Seaman K, Gewald H. Evidence of How Physicians and Their Patients Adopt mHealth Apps in Germany: Exploratory Qualitative Study. JMIR mHealth and uHealth 2024;12:e48345 View
  28. Toft B, Rodkjær L, Sørensen L, Saugbjerg M, Bekker H, Modrau I. Feasibility of early digital health rehabilitation after cardiac surgery in the elderly: a qualitative study. BMC Health Services Research 2024;24(1) View
  29. Weik L, Fehring L, Mortsiefer A, Meister S. Understanding inherent influencing factors to digital health adoption in general practices through a mixed-methods analysis. npj Digital Medicine 2024;7(1) View
  30. Wangler J, Jansky M. How can primary care benefit from digital health applications? – a quantitative, explorative survey on attitudes and experiences of general practitioners in Germany. BMC Digital Health 2024;2(1) View
  31. Tong H, Alnasser A, Alshahrani N, Bawaked R, AlAhmed R, Alsukait R, Rakic S, Cetinkaya V, Al-Hazzaa H, Alqahtani S. The Use of Mobile Technologies to Promote Physical Activity and Reduce Sedentary Behaviors in the Middle East and North Africa Region: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e53651 View
  32. Aboye G, Simegn G, Aerts J. Assessment of the Barriers and Enablers of the Use of mHealth Systems in Sub-Saharan Africa According to the Perceptions of Patients, Physicians, and Health Care Executives in Ethiopia: Qualitative Study. Journal of Medical Internet Research 2024;26:e50337 View
  33. Giebel G, Abels C, Plescher F, Speckemeier C, Schrader N, Börchers K, Wasem J, Neusser S, Blase N. Problems and Barriers Related to the Use of mHealth Apps From the Perspective of Patients: Focus Group and Interview Study. Journal of Medical Internet Research 2024;26:e49982 View
  34. Ameyaw E, Amoah P, Ezezika O. Effectiveness of mHealth Apps for Maternal Health Care Delivery: Systematic Review of Systematic Reviews. Journal of Medical Internet Research 2024;26:e49510 View
  35. Schroeder T, Kamalakkannan A, Seaman K, Nguyen A, Siette J, Gewald H, Georgiou A. Perception of middle-aged and older adults towards mHealth apps: A comparative factor analysis between Australia and Germany. International Journal of Medical Informatics 2024;189:105502 View
  36. Rivera Romero O, Chae H, Faienza M, Vergani E, Cheon C, Di Mase R, Frasca F, Lee H, Giavoli C, Kim J, Klain A, Moon J, Iezzi M, Yeh J, Aversa A, Rhie Y, Koledova E. Healthcare professionals’ perspectives towards the digitalisation of paediatric growth hormone therapies: expert panels in Italy and Korea. Frontiers in Endocrinology 2024;15 View
  37. Sahan F, Guthardt L, Panitz K, Siegel-Kianer A, Eichhof I, Schmitt B, Apolinario-Hagen J. Enhancing Digital Health Awareness and mHealth Competencies in Medical Education: Proof-of-Concept Study and Summative Process Evaluation of a Quality Improvement Project. JMIR Medical Education 2024;10:e59454 View
  38. Grieve N, Braaten K, MacPherson M, Liu S, Jung M. Usability testing of a smartphone application designed for individuals with prediabetes: Involving end-users in development (Preprint). JMIR Formative Research 2024 View
  39. Stuijt D, van Doeveren E, Kos M, Eversdijk M, Bosch J, Bins A, Bak M, van Oijen M. Remote Patient Monitoring Using Mobile Health Technology in Cancer Care and Research: Patients' Views and Preferences. JCO Clinical Cancer Informatics 2024;(8) View
  40. Chong C, Makmor-Bakry M, Hatah E, Mohd Tahir N, Mustafa N, Capule F, Hermansyah A. A qualitative study of type 2 diabetes mellitus outpatients' perspectives on readiness, acceptance and barriers of mobile apps for medication adherence. Patient Education and Counseling 2025;131:108547 View
  41. Höfer K, Plescher F, Schlierenkamp S, Solar S, Neusser S, Schneider U, Best D, Wasem J, Abels C, Bußmann A. mHealth Apps in German Outpatient Mental Health Care: Protocol for a Mixed Methods Approach. JMIR Research Protocols 2024;13:e56205 View
  42. Almohanna A, Vlahu-Gjorgievska E, Meedya S, Win K. Evaluating user perceptions of the persuasive system design in a breastfeeding mHealth app: a cross-sectional study. Behaviour & Information Technology 2024:1 View

Books/Policy Documents

  1. Blandford A. Handbook of Human Computer Interaction. View
  2. Keller V, Ercsey I. Effective Digital Marketing for Improving Society Behavior Toward DEI and SDGs. View
  3. Jat A, Grønli T. Mobile Web and Intelligent Information Systems. View