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Feasibility of a wearable self-management application for patients with COPD at home: a pilot study

Authors :
Robert Wu
Eyal de Lara
Daniyal Liaqat
Salaar Liaqat
Jun Lin Chen
Tanya Son
Andrea S. Gershon
Source :
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-8 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background Among people with COPD, smartphone and wearable technology may provide an effective method to improve care at home by supporting, encouraging, and sustaining self-management. The current study was conducted to determine if patients with COPD will use a dedicated smartphone and smartwatch app to help manage their COPD and to determine the effects on their self-management. Methods We developed a COPD self-management application for smartphones and smartwatches. Participants were provided with the app on a smartphone and a smartwatch, as well as a cellular data plan and followed for 6 months. We measured usage of the different smartphone app functions. For the primary outcome, we examined the change in self-management from baseline to the end of follow up. Secondary outcomes include changes in self-efficacy, quality of life, and COPD disease control. Results Thirty-four patients were enrolled and followed. Mean age was 69.8 years, and half of the participants were women. The most used functions were recording steps through the smartwatch, entering a daily symptom questionnaire, checking oxygen saturation, and performing breathing exercises. There was no significant difference in the primary outcome of change in self-management after use of the app or in overall total scores of health-related quality of life, disease control or self-efficacy. Conclusion We found older patients with COPD would engage with a COPD smartphone and smartwatch application, but this did not result in improved self-management. More research is needed to determine if a smartphone and smartwatch application can improve self-management in people with COPD. Trial registration ClinicalTrials.Gov NCT03857061, First Posted February 27, 2019.

Details

Language :
English
ISSN :
14726947
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.783acc3e657479aa13ee93d86bb2fe5
Document Type :
article
Full Text :
https://doi.org/10.1186/s12911-024-02461-y