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

Digital Health Reviews (1724) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Pulmonology, COPD (195) Web-based and Mobile Health Interventions (4018) Digital Health Reporting Standards, Quality and Transparency in e-Research (132)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57649, first published .
The State of the Art of eHealth Self-Management Interventions for People With Chronic Obstructive Pulmonary Disease: Scoping Review

The State of the Art of eHealth Self-Management Interventions for People With Chronic Obstructive Pulmonary Disease: Scoping Review

The State of the Art of eHealth Self-Management Interventions for People With Chronic Obstructive Pulmonary Disease: Scoping Review

Authors of this article:

Eline te Braake1, 2 Author Orcid Image ;   Roswita Vaseur2 Author Orcid Image ;   Christiane Grünloh1, 2 Author Orcid Image ;   Monique Tabak2 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. te Braake E, Schriemer R, Grünloh C, Ahoud S, Asselberghs T, Bodelier V, Hansen D, Ophuis C, Wolkorte R. The broad range of self-management strategies that people with rheumatic and musculoskeletal conditions apply: an online survey using a citizen science approach. Rheumatology International 2025;45(5) View
  2. Welzel F, Pabst A, Stein J, Bleck F, Riedel-Heller S, Löbner M. Testing the Efficacy of a Web-Based Intervention for Loss and Bereavement in Later Life (AgE-health Study): Results From a Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e68662 View
  3. Zhan M, Chen J, Zhang H. Research Trends in Chronic Obstructive Pulmonary Disease (2005-2024): From Drug Therapy to Comprehensive Rehabilitation Strategies. International Journal of Chronic Obstructive Pulmonary Disease 2025;Volume 20:3659 View
  4. te Braake E, Grünloh C, Tabak M. Identifying the self-management strategies of people with chronic obstructive pulmonary disease in their daily lives: A qualitative survey. Heart & Lung 2026;76:124 View

Conference Proceedings

  1. Assish Y, P K. 2025 International Conference on Data Science and Business Systems (ICDSBS). Deep Learning Model for COPD Classification Using XiResNet-50 with Explainable AI View