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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17409, first published .
Perceptions of Patients Regarding Mobile Health Interventions for the Management of Chronic Obstructive Pulmonary Disease: Mixed Methods Study

Perceptions of Patients Regarding Mobile Health Interventions for the Management of Chronic Obstructive Pulmonary Disease: Mixed Methods Study

Perceptions of Patients Regarding Mobile Health Interventions for the Management of Chronic Obstructive Pulmonary Disease: Mixed Methods Study

Journals

  1. Kooij L, Vos P, Dijkstra A, van Harten W. Effectiveness of a Mobile Health and Self-Management App for High-Risk Patients With Chronic Obstructive Pulmonary Disease in Daily Clinical Practice: Mixed Methods Evaluation Study. JMIR mHealth and uHealth 2021;9(2):e21977 View
  2. Alghamdi S, Rajah A, Aldabayan Y, Aldhahir A, Alqahtani J, Alzahrani A. Chronic Obstructive Pulmonary Disease Patients’ Acceptance in E-Health Clinical Trials. International Journal of Environmental Research and Public Health 2021;18(10):5230 View
  3. Schmaderer M, Miller J, Mollard E. Experiences of Using a Self-management Mobile App Among Individuals With Heart Failure: Qualitative Study. JMIR Nursing 2021;4(3):e28139 View
  4. 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
  5. 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
  6. Quach S, Benoit A, Oliveira A, Packham T, Goldstein R, Brooks D. Features and characteristics of publicly available mHealth apps for self-management in chronic obstructive pulmonary disease. DIGITAL HEALTH 2023;9:205520762311670 View
  7. Bischoff E, Ariens N, Boer L, Vercoulen J, Akkermans R, van den Bemt L, Schermer T. Effects of Adherence to an mHealth Tool for Self-Management of COPD Exacerbations. International Journal of Chronic Obstructive Pulmonary Disease 2023;Volume 18:2381 View
  8. van de Hei S, Stoker N, Flokstra-de Blok B, Poot C, Meijer E, Postma M, Chavannes N, Kocks J, van Boven J. Anticipated barriers and facilitators for implementing smart inhalers in asthma medication adherence management. npj Primary Care Respiratory Medicine 2023;33(1) View
  9. Grüning D, Riedel F, Lorenz-Spreen P. Directing smartphone use through the self-nudge app one sec. Proceedings of the National Academy of Sciences 2023;120(8) View
  10. Antonio M, Veinot T. From illness management to quality of life: rethinking consumer health informatics opportunities for progressive, potentially fatal illnesses. Journal of the American Medical Informatics Association 2024;31(3):674 View
  11. Shih H, Xue H, Min H, Wojtusiak J, Chang J. Informing Patient-Provider Engagement for Shared Decision Making Through Mobile Health Applications. Patient Preference and Adherence 2023;Volume 17:3489 View
  12. Alhammad N, Alajlani M, Abd-alrazaq A, Epiphaniou G, Arvanitis T. Patients’ Perspectives on the Data Confidentiality, Privacy, and Security of mHealth Apps: Systematic Review. Journal of Medical Internet Research 2024;26:e50715 View
  13. Sepulveda R, Chong J, Shegog R, Martin K, Begley C, Addy R, Rosales O, Nuño T, Soto S, Rosales C, Labiner D. Experiences of using the MINDSET Self-Management mobile health app among Hispanic Patients:Results of a qualitative study. Epilepsy & Behavior 2024;153:109702 View
  14. 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