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

Design and Usability of Clinical Software and EHRs (271) Consumer & Patient Education and Shared-Decision Making (695) Clinical Information and Decision Making (1434) Human Factors and Usability Case Studies (809) User-centred Design Case Studies (602)

Published on in Vol 5, No 1 (2018): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8948, first published .
How Health Care Professionals Evaluate a Digital Intervention to Improve Medication Adherence: Qualitative Exploratory Study

How Health Care Professionals Evaluate a Digital Intervention to Improve Medication Adherence: Qualitative Exploratory Study

How Health Care Professionals Evaluate a Digital Intervention to Improve Medication Adherence: Qualitative Exploratory Study

Authors of this article:

Karen Thomson1 Author Orcid Image ;   Corline Brouwers2 Author Orcid Image ;   Olga C Damman2 Author Orcid Image ;   Martine C de Bruijne2 Author Orcid Image ;   Danielle RM Timmermans2 Author Orcid Image ;   Marijke Melles1 Author Orcid Image
Article Authors Cited by (18) Tweetations (12) Metrics

Journals

  1. Byambasuren O, Beller E, Hoffmann T, Glasziou P. Barriers to and Facilitators of the Prescription of mHealth Apps in Australian General Practice: Qualitative Study. JMIR mHealth and uHealth 2020;8(7):e17447 View
  2. Ayre J, Bonner C, Bramwell S, McClelland S, Jayaballa R, Maberly G, McCaffery K. Implications for GP endorsement of a diabetes app with patients from culturally diverse backgrounds: a qualitative study. Australian Journal of Primary Health 2020;26(1):52 View
  3. Baiardini I, Novakova S, Mihaicuta S, Oguzulgen I, Canonica G. Adherence to treatment in allergic respiratory diseases. Expert Review of Respiratory Medicine 2019;13(1):53 View
  4. Mardani A, Saraji M, Mishra A, Rani P. A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak. Applied Soft Computing 2020;96:106613 View
  5. ERGÜN Y, ALTINTAŞ AYKAN D. Akılcı İlaç Kullanımı: İlaç Tedavisine Adherans. Kahramanmaraş Sütçü İmam Üniversitesi Tıp Fakültesi Dergisi 2018;13(3):97 View
  6. Ayre J, Bonner C, Bramwell S, McClelland S, Jayaballa R, Maberly G, McCaffery K. Factors for Supporting Primary Care Physician Engagement With Patient Apps for Type 2 Diabetes Self-Management That Link to Primary Care: Interview Study. JMIR mHealth and uHealth 2019;7(1):e11885 View
  7. Kleinsmann M, Sarri T, Melles M. Learning histories as an ethnographic method for designing teamwork in healthcare. CoDesign 2020;16(2):152 View
  8. O’Neill M, Houghton C, Crilly G, Dowling M. A qualitative evidence synthesis of users’ experience of mobile health applications in the self-management of type 2 diabetes. Chronic Illness 2022;18(1):22 View
  9. Melles M, Albayrak A, Goossens R. Innovating health care: key characteristics of human-centered design. International Journal for Quality in Health Care 2021;33(Supplement_1):37 View
  10. 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
  11. Choudhary P, Bellido V, Graner M, Altpeter B, Cicchetti A, Durand-Zaleski I, Kristensen F. The Challenge of Sustainable Access to Telemonitoring Tools for People with Diabetes in Europe: Lessons from COVID-19 and Beyond. Diabetes Therapy 2021;12(9):2311 View
  12. Labarta J, Dimitri P, Keiser M, Koledova E, Rivera-Romero O. Evaluating the Usefulness and Ease of Use of a Next-Generation–Connected Drug Delivery Device for Growth Hormone Therapy: Qualitative Study of Health Care Professionals’ Perceptions. JMIR Human Factors 2023;10:e46893 View
  13. Wong W, Ming D, Pateras S, Fee C, Coleman C, Docktor M, Shah N, Antonelli R. Outcomes of End-User Testing of a Care Coordination Mobile App With Families of Children With Special Health Care Needs: Simulation Study. JMIR Formative Research 2023;7:e43993 View
  14. Minian N, Mehra K, Earle M, Hafuth S, Ting-A-Kee R, Rose J, Veldhuizen S, Zawertailo L, Ratto M, Melamed O, Selby P. AI Conversational Agent to Improve Varenicline Adherence: Protocol for a Mixed Methods Feasibility Study. JMIR Research Protocols 2023;12:e53556 View
  15. Workman A, Campbell S, Williamson G, Lucani C, Bowman D, Cooling N, Johnston F, Jones P, Ayatollahi H. Understanding the perspectives and needs of multiple stakeholders: Identifying key elements of a digital health intervention to protect against environmental hazards. PLOS Digital Health 2024;3(1):e0000444 View
  16. Escandell-Rico F, Pérez-Fernández L. Evaluación de la asistencia sanitaria del paciente con diabetes en atención primaria: una revisión sistemática. Medicina de Familia. SEMERGEN 2024;50(7):102214 View
  17. Zijp A, Versluis A, Joosse L, Kind T, Rouveroy van Nieuwaal T, Wassink-Bergman C, van Veen I, Weersink E, Chavannes N, Aardoom J. Exploring the feasibility, acceptability, usability and safety of a digitally supported self-management intervention for uncontrolled asthma: A pre-post pilot study in secondary care. DIGITAL HEALTH 2024;10 View

Books/Policy Documents

  1. Kherabi Y, Ming D, Rawson T, Peiffer-Smadja N. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems. View