Effectiveness of self-management digital interventions in improving health-related outcomes in patients with chronic obstructive pulmonary disease: an umbrella review protocol.
Ricardo Salgado, Hugo Fernandes, Véronique de Goumoëns, Blanche Kiszio, Patrício Costa, Philippe Delmas, Miguel Padilha
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Abstract
Objective: This review will aim to assess the effectiveness of self-management digital interventions in improving health-related outcomes in patients with chronic obstructive pulmonary disease (COPD).
Introduction: Respiratory rehabilitation programs that promote self-management are crucial for COPD patients. However, current face-to-face strategies involve challenges, such as low participation, high dropout rates, and short-lived post-intervention benefits. Digital self-management interventions may address these issues by improving access to support and enhancing health-related outcomes. Several systematic reviews have examined the effectiveness of these interventions in improving health-related outcomes, prompting the current umbrella review to summarize the existing evidence.
Inclusion criteria: This review will consider systematic reviews that examine the effectiveness of self-management digital interventions in improving health-related outcomes in COPD patients. It will not be restricted by COPD stage, phase, comorbidity, sex or gender, setting, or context.
Methods: The JBI methodology for umbrella reviews will be followed. A comprehensive search will be conducted in PubMed, Embase, Cochrane Database of Systematic Reviews, CINAHL, PEDro, the International Network of Agencies for Health Technology Assessment, Epistemonikos, Web of Science, ProQuest, and COPD-related websites to identify reviews published in any language from inception to date. Titles and abstracts, and then full texts, will be screened independently by 2 reviewers against the inclusion criteria. Methodological quality will be assessed using the JBI critical appraisal checklist for systematic reviews and research syntheses. Data will be extracted using an adapted and piloted JBI data extraction tool. The findings will be presented in tabular format, along with narrative descriptions and visual support. A citation matrix will be produced to assess study overlap.
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