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Engagement and Intersectionality in Digital Self-Management Interventions for Asthma and Chronic Obstructive
Martin Ruddock1,2, Lucy Yardley1,3,4, Katherine Bradbury1
1School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Building 44, Shackleton, University Road, Southampton, England, SO17 1BJ, United Kingdom, 44 02381208923.
Digital health interventions for asthma and COPD show engagement gaps due to underreported patient data. Improving reporting and analysis is crucial for equitable digital health tool development and effectiveness.
Area of Science:
- Digital Health
- Health Informatics
- Respiratory Medicine
Background:
- Digital health interventions (DHIs) support self-management for chronic respiratory conditions like asthma and COPD.
- Understanding patient engagement with DHIs is vital for optimizing design, outcomes, and addressing health inequalities.
- This review uses the AMUsED framework and layered vulnerabilities for a nuanced analysis of digital engagement.
Purpose of the Study:
- To evaluate how diverse patient groups engage with digital self-management interventions for asthma and COPD.
- To examine the reporting and analysis of demographic, outcome, and usage data in digital health research.
- To assess the extent to which current practices support equitable evaluation of digital interventions.
Main Methods:
- Systematic identification of empirical studies reporting demographic, clinical outcome, and usage data.
- Review of usage measures for numerical comparability across interventions.
- Descriptive thematic analysis combined with patient and public involvement.
Main Results:
- Twenty-seven studies met inclusion criteria; only four comparable usage measures were consistently identified.
- While age, sex, and disease severity were reported, data on ethnicity and socioeconomic status were underrepresented.
- Most studies (62.9%) did not combine demographic, outcome, and usage data in their analyses, revealing limited engagement characterization and inconsistent conceptualization of healthcare support.
Conclusions:
- This review highlights structural gaps in reporting and analysis within digital self-management research for respiratory conditions.
- Recommendations are provided for more equitable and analytically rigorous digital health research.
- Strengthening reporting practices with richer usage data and intersectional analyses is essential for tailoring DHIs to diverse patient populations.
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