ArticleInternational journal of chronic obstructive pulmonary disease2026
Identifying the Challenges in Self-Management and Preferences for Digital Health Technologies Use Among COPD Patients Based on the CeHRes Roadmap: A Formative Qualitative Study.
Article in International journal of chronic obstructive pulmonary disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital health technologies offer a promising approach to strengthening self-management capacity among patients with chronic obstructive pulmonary disease (COPD), yet clinical application is hampered by poor adherence, low sustained engagement, and limited self-management ability. Although previous studies have identified general self-management challenges in COPD, few have systematically investigated patients' preferences for digital tools or translated these insights into actionable design principles. This hinders the user-centred development and effective deployment of digital interventions for this population. Objective: This study aimed to explore the self‑management challenges and preferences for mobile health (mHealth) among COPD patients, with the ultimate goal of translating these findings into design principles for a persuasive self‑management application. Methods: We conducted in-depth personal interviews with 15 patients with COPD and five healthcare professionals to explore the challenges of self-management and preferences for mHealth. Data were analyzed using thematic analysis. Subsequently, a structured expert consultation was held to translate the findings into key principles for a persuasive self-management application. Results: Five themes regarding barriers to effective self-management were identified: (1) negative emotional experience, (2) poor health literacy, (3) insufficient family support, (4) inadequate professional health care, and (5) economic burden. Patients expressed four key preferences for digital health technologies: (1) simplicity, (2) personalized decision support, (3) self-report, (4) early warning of deterioration. Furthermore, the panel discussion distilled these findings into eight essential key principles: motivation, simplicity, credibility, guidance, personalization, self-report, warning, and continuity. Conclusion: This study provides new insights into user-centered mHealth tools for COPD self-management. We derived core design principles from patients' demands to inform targeted digital interventions. These principles require validation in female, higher-literacy and multi-center samples before wide application. Future work will complete the remaining CeHRes Roadmap stages of design, operationalization and evaluation to refine this framework.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.