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Pulmonary rehabilitation is a cornerstone intervention for COPD management, delivering clinically meaningful improvements in exercise capacity, health-related quality of life and dyspnoea. Despite strong guideline recommendations and established efficacy, only 2%\u20134% of eligible patients with COPD access traditional centre-based pulmonary rehabilitation due to geographical barriers, transportation difficulties, scheduling conflicts and limited healthcare resources. Digital health technologies offer promising alternatives to overcome these access barriers while potentially maintaining therapeutic benefits. Various digital delivery models have emerged, including video-based telerehabilitation, virtual reality platforms, mobile health applications and web-based programmes. However, their comparative effectiveness remains unclear, limiting evidence-based clinical decision making. This systematic review and network meta-analysis will aim to compare and rank the effectiveness and safety of different digital health delivery models for pulmonary rehabilitation in patients with COPD, providing evidence to inform optimal intervention selection in clinical practice.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and analysis<\/jats:title>\n                    <jats:p>We will conduct a systematic review and Bayesian network meta-analysis following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Network Meta-Analyses guidelines. Comprehensive searches will be performed across five electronic databases (PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, CINAHL) from inception to January 2026, without language restrictions. Eligible studies will include randomised controlled trials comparing digital health delivery models for pulmonary rehabilitation in adults with COPD. Digital health interventions will be categorised into four distinct delivery models: video-based telerehabilitation, virtual reality rehabilitation, mobile health rehabilitation and web-based platform rehabilitation. Interventions combining multiple modalities will be categorised according to the predominant component based on intervention frequency, duration and primary therapeutic mechanism. Two independent reviewers will perform study selection, data extraction and risk of bias assessment using the Cochrane Risk of Bias 2 tool. The primary outcome will be change in 6\u2009min walk distance. Key secondary outcomes will include disease-specific quality of life measures, dyspnoea severity, hospitalisation rates, exacerbation frequency, intervention adherence and adverse events. A Bayesian random-effects network meta-analysis will be conducted, calculating mean differences or ORs with 95% credible intervals. Treatment rankings will be estimated using surface under the cumulative ranking curve probabilities. Evidence certainty will be assessed using the Confidence in Network Meta-Analysis framework. Planned subgroup analyses will explore potential effect modifiers including disease severity, intervention duration, supervision mode and technological features.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Ethics and dissemination<\/jats:title>\n                    <jats:p>As this systematic review will use data from previously published studies, formal ethical approval is not required. Findings will be disseminated through peer-reviewed publication, presentations at relevant scientific conferences and communication to healthcare providers, policymakers and patient advocacy organisations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>PROSPERO registration number<\/jats:title>\n                    <jats:p>CRD420251268701.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2025-115607","type":"journal-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T14:20:15Z","timestamp":1772547615000},"page":"e115607","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Comparative effectiveness and safety of digital health delivery models for pulmonary rehabilitation in patients with chronic obstructive pulmonary disease: a protocol for systematic review and network meta-analysis of randomised controlled trials"],"prefix":"10.1136","volume":"16","author":[{"given":"Ling","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University\/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinrong","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University\/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cui","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University\/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mei","family":"Feng","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University\/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9254-5785","authenticated-orcid":false,"given":"Ying","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University\/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2026,3,3]]},"reference":[{"key":"2026062609352904000_16.3.e115607.1","doi-asserted-by":"crossref","unstructured":"Chen X , Zhou C-W , Fu Y-Y , et al . 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