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

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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.

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APA

Wu, R., de Lara, E., Liaqat, D., Liaqat, S., Chen, J. L., Son, T., & Gershon, A. S. (2024). Feasibility of a wearable self-management application for patients with COPD at home: a pilot study. BMC Medical Informatics and Decision Making, 24(1). https://doi.org/10.1186/s12911-024-02461-y

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