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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80500, first published .
Comparing Pulmonary Telerehabilitation and Center-Based Pulmonary Rehabilitation for Effectiveness and Adherence in Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Comparing Pulmonary Telerehabilitation and Center-Based Pulmonary Rehabilitation for Effectiveness and Adherence in Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Comparing Pulmonary Telerehabilitation and Center-Based Pulmonary Rehabilitation for Effectiveness and Adherence in Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials

1Lung Disease Diagnosis and Treatment Center, National Medical Center, The First Affiliated Hospital of Henan University of Chinese Medicine, 19 Renmin Road, Zhengzhou, Henan, China

2Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan Province & Ministry of Education of P.R. China, Henan Key Laboratory of Chinese Medicine for Respiratory Diseases, Henan University of Chinese Medicine, Zhengzhou, Henan, China

*these authors contributed equally

Corresponding Author:

Hailong Zhang, PhD


Background: Pulmonary rehabilitation (PR) is a cornerstone of chronic obstructive pulmonary disease (COPD) management; however, access to traditional center-based PR (CBPR) remains limited. Digital and remote models, collectively termed pulmonary telerehabilitation (Tele-PR), have increasingly been used, but their heterogeneity in technology use, supervision, and interaction mode may influence effectiveness and sustainability.

Objective: This systematic review and meta-analysis aimed to compare the effectiveness and adherence of Tele-PR with those of CBPR in adults with COPD while systematically evaluating the impacts of supervision intensity and delivery models on key clinical outcomes.

Methods: This review followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 and PRISMA-S (Preferred Reporting Items for Systematic reviews and Meta-Analyses literature search extension) guidelines. PubMed, Embase, the Cochrane Library, and the Web of Science were searched from inception to December 10, 2025, to identify randomized controlled trials comparing Tele-PR or home-based PR (HBPR) with CBPR in adults with COPD. Random effects meta-analyses were conducted using the Hartung-Knapp-Sidik-Jonkman method. Between-study heterogeneity was assessed using τ², , and 95% prediction intervals. Risk of bias was evaluated with the Cochrane Risk of Bias 2 tool, and certainty of evidence was graded using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach.

Results: Seventeen randomized controlled trials involving 1658 participants were included. After intervention, Tele-PR and CBPR showed comparable average effects on exercise capacity by 6-minute walk distance (k=9; n=950, 57.3%; mean difference –5.37 m, 95% CI –15.68 to 4.95; P=.26; τ²=103.97; =28.2%; 95% prediction intervals=–32.73 to 22.27). Although pooled effects were not statistically significant, substantial heterogeneity was observed across remote delivery models. Subgroup analyses linked digitally supported, synchronously supervised Tele-PR to less between-study variance across several outcomes, indicating greater consistency in treatment effects across different settings while revealing that low-technology HBPR yielded more variable outcomes, particularly in symptom burden. At long-term follow-up (≥6 mo), between-group differences in functional and symptom outcomes diminished, and short-term gains in exercise capacity did not consistently translate into increased daily physical activity. Certainty of evidence ranged from moderate to very low, mainly downgraded for performance bias, inconsistency across intervention models, and imprecision.

Conclusions: Tele-PR may achieve short-term clinical outcomes comparable to CBPR. Distinct from prior reviews, we stratified remote programs by delivery models and supervision, identifying digitally supported Tele-PR and low-technology HBPR as 2 clinically distinct paradigms with differing consistency of effects. We further propose a structured “supervision gradient” to interpret model-dependent variability in effects across Tele-PR approaches, providing a context-sensitive framework for evidence-informed, model-specific implementation. Future remote rehabilitation should integrate real-time professional supervision and long-term behavioral maintenance to sustain benefits. Tele-PR may be particularly valuable for expanding PR access, while CBPR remains essential for patients requiring close in-person supervision or complex multidisciplinary care.

Trial Registration: PROSPERO CRD42025633252; https://www.crd.york.ac.uk/PROSPERO/view/CRD42025633252

J Med Internet Res 2026;28:e80500

doi:10.2196/80500

Keywords



Chronic obstructive pulmonary disease (COPD) is a progressive respiratory disorder characterized by persistent airflow limitations, commonly associated with chronic systemic inflammation, small-airway dysfunction, and emphysema [1]. Owing to its high prevalence, mortality, and disability burden, COPD imposes a substantial public health burden and is recognized as a major chronic condition threatening global health. It is projected that, by 2030, COPD will account for approximately 4.5 million deaths annually, making it the third leading cause of death worldwide. As the disease progresses, severe dyspnea and reduced exercise tolerance may emerge, significantly impairing activities of daily living [2]. Pulmonary rehabilitation (PR) is a comprehensive, individualized intervention based on a thorough patient assessment. PR has been widely incorporated into clinical management guidelines for COPD as the most effective nonpharmacological approach for alleviating dyspnea, improving health status, and enhancing exercise capacity [3,4].

PR is typically delivered by a multidisciplinary team. Current guidelines recommend that, over a 6‐ to 8-week program, patients should attend at least two individualized assessment and training sessions per week. To optimize outcomes, programs should include endurance training, resistance training, and targeted exercises for upper and lower limbs [5]. However, due to high medical costs, health system constraints, and geographic barriers, many patients fail to achieve the expected benefits of PR [6]. Globally, fewer than 2% of eligible patients are estimated to have access to PR services, highlighting the urgent need for effective interventions to improve PR uptake [7]. PR can be implemented in various settings. Pulmonary telerehabilitation (Tele-PR) delivers exercise training, education, and self-management support through synchronous videoconferencing or asynchronous platforms and has the potential to overcome geographic and transportation barriers, thereby enhancing access to rehabilitation services [8-10].

Randomized controlled trials (RCTs) have shown that, when frequency and intensity are comparable, community- and home-based rehabilitation programs achieve outcomes similar to those of hospital-based programs [11]. The current evidence base is no longer limited to COPD. Recent studies in the broader field of respiratory rehabilitation have provided strong support for the effectiveness of remote interventions. In an RCT, Sánchez-Romero et al [12] reported that an evidence-based eHealth educational tool combined with rehabilitation training yielded significant improvements in musculoskeletal symptoms and patient adherence. In addition, a network meta-analysis by Martínez-Pozas et al [13,14] confirmed that Tele-PR was noninferior to face-to-face rehabilitation in improving physical function and quality of life and produced comparable effects in reducing dyspnea and fatigue. These successful applications in complex respiratory conditions provide supportive evidence for the feasibility and potential effectiveness of implementing Tele-PR in COPD.

Nevertheless, several key uncertainties remain in the current evidence regarding Tele-PR in COPD. First, prior systematic reviews have frequently pooled remote interventions with varying levels of technology, supervision intensity, and interaction modalities, thereby implicitly assuming that Tele-PR is relatively homogeneous—a presumption that may obscure important differences across implementation models. Second, evidence on the long-term maintenance effects of Tele-PR remains limited, particularly regarding whether postintervention improvements in exercise capacity translate into sustained changes in daily physical activity, for which consistent conclusions are still lacking. Third, the potential influence of different supervision modalities on safety, consistency of treatment effects, and patient behavioral responses has not been systematically elucidated.

To address these gaps, this systematic review and meta-analysis was designed to comprehensively compare Tele-PR with center-based pulmonary rehabilitation (CBPR) in patients with COPD. The objectives were to (1) evaluate the comparative effectiveness of Tele-PR versus CBPR on exercise capacity, symptom burden, and health-related quality of life; (2) stratify remote rehabilitation by supervision intensity and technological features to compare synchronously supervised, digitally supported Tele-PR with traditional low-technology home-based PR (HBPR); and (3) examine outcome trajectories at the end of the intervention and during long-term follow-up to inform evidence-based implementation and resource allocation.


Registration

This systematic review and meta-analysis was conducted and reported in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 statement [15] and the PRISMA-S extension for literature searches. An expanded PRISMA 2020 checklist, the PRISMA 2020 checklist for abstracts, and the PRISMA-S checklist [16] are provided in Checklist 1. The structure of the Methods section follows the corresponding PRISMA 2020 headings to enhance transparency, reproducibility, and suitability for editorial review. Protocol changes are detailed in Multimedia Appendix 1.

Search Strategy

A comprehensive literature search was performed in PubMed (National Library of Medicine), Embase (Elsevier), the Cochrane Library (Wiley), and the Web of Science (Clarivate) from database inception to October 15, 2024, with an updated search conducted on December 10, 2025. The search strategy was independently developed de novo and refined by 2 reviewers to identify RCTs comparing digitally supported Tele-PR or low-technology HBPR with CBPR in adults with COPD. Controlled vocabulary terms (eg, MeSH and Emtree) and free-text keywords were combined using Boolean operators. Searches were limited to articles published in English, but no restrictions were applied based on publication date or publication status (Multimedia Appendix 2). Although specific gray literature databases and clinical trial registries were not searched, we manually screened the reference lists of included studies and relevant systematic reviews to identify additional eligible trials. Furthermore, corresponding authors were contacted to request missing or unpublished data where necessary; however, no additional data were obtained. The reasons for exclusion at the full-text screening stage are reported in Multimedia Appendix 3.

Eligibility Criteria

Study eligibility was defined according to the PICOS (population, intervention, comparator, outcomes, and study design) framework. Eligible studies were RCTs enrolling adult participants (aged ≥18 y) with COPD diagnosed according to the Global Initiative for Obstructive Lung Disease criteria (postbronchodilator forced expiratory volume in 1 s [FEV₁]/forced vital capacity of <0.70), regardless of Global Initiative for Obstructive Lung Disease stage (I to IV) or exacerbation history. Tele-PR interventions were eligible if they could be classified a priori into one of 2 conceptually distinct models based on technological infrastructure and supervision intensity. Digitally supported Tele-PR was defined as any comprehensive PR program delivered primarily in the home setting and supported by information and communication technology, enabling real-time or asynchronous interaction with health professionals (eg, synchronous videoconferencing, mobile apps, web-based platforms, or wearable-supported monitoring with structured feedback), while HBPR encompassed lower-technology home programs relying primarily on structured telephone coaching and/or printed training materials, provided that systematic professional guidance or supervision was delivered (ie, not fully unsupervised self-training). To harmonize heterogeneous Tele-PR implementations, we used a prespecified hierarchical taxonomy: delivery models (digitally supported Tele-PR vs low-technology HBPR), supervision modality (synchronous real-time supervised sessions vs asynchronous delayed feedback or periodic contacts), and supervision intensity (high: ≥2 structured contacts per week; medium: ~1 per week; and low or minimal: <1 per week or instruction only). These categories were defined based on trial descriptions and were used for subgroup and exploratory analyses. Meanwhile, the comparator was CBPR, which was defined as any standardized PR program delivered in hospital or community settings with direct, in-person professional supervision. Studies were required to report at least one prespecified outcome (eg, 6-min walk distance [6MWD], COPD Assessment Test [CAT], St. George’s Respiratory Questionnaire [SGRQ], Chronic Respiratory Questionnaire, modified Medical Research Council Dyspnea scale, Hospital Anxiety and Depression Scale, daily step count, self-efficacy, dropout, adverse events, or exacerbations). Outcomes reported by only a small number of studies were synthesized descriptively or exploratorily.

Studies were excluded if they (1) used nonrandomized designs (eg, observational studies); (2) were reviews, case series, editorials, protocols, or conference abstracts without accessible full texts; (3) enrolled participants with contraindications to exercise due to severe cardiovascular, musculoskeletal, or other limiting comorbidities; or (4) evaluated interventions not primarily designed for COPD rehabilitation or involved mixed programs in which the specific effects of Tele-PR or HBPR could not be isolated.

Study Selection and Data Extraction

Study selection and data extraction were performed independently by 2 teams using a standardized workflow. Duplicates were removed in EndNote 21 (Clarivate), after which titles or abstracts and full texts were screened in duplicate. Interrater agreement was assessed using Cohen κ [17], indicating substantial agreement for title or abstract screening (κ=0.75) and almost perfect agreement for full-text eligibility assessment (κ=0.92). Disagreements were resolved through discussion with a third reviewer. Backward citation tracking of included studies was conducted as a supplementary search step after full-text screening. Key study characteristics (eg, first author, year, sample size, design, participant characteristics, intervention details, and outcomes) were extracted in duplicate; missing data were requested from corresponding authors when necessary, and discrepancies were resolved through discussion with a third researcher.

Data Analysis

We pooled dichotomous outcomes using risk ratios and continuous outcomes using mean differences (MDs), as outcomes were measured on consistent scales. Meta-analyses were conducted in R (version 4.3.1; R Foundation for Statistical Computing) using the meta package (version 7.0‐0). Given the anticipated clinical and methodological heterogeneity across interventions, populations, and delivery models, all meta-analyses were conducted using random effects models, irrespective of the magnitude of statistical heterogeneity. This choice was conceptual rather than data-driven and reflects the assumption that true effects may vary across settings. Pooled effect estimates were calculated using the Hartung-Knapp-Sidik-Jonkman (HKSJ) method, which provides more robust CIs and reduces the risk of false-positive findings, particularly when the number of included studies is small [18]. Between-study variance (τ²) was estimated using the Sidik-Jonkman estimator. When outcomes were reported at multiple time points, separate meta-analyses were conducted for the end-of-intervention and long-term follow-up data (≥6 mo), as these time points address distinct clinical questions regarding short-term efficacy and durability of effects. For the primary meta-analyses, 95% PIs were calculated using the confidence distribution approach proposed by Nagashima et al [19] via the pimeta package. This approach accounts for uncertainty in the estimation of between-study variance and improves coverage probability compared with conventional normal-based methods [20]. While values are reported descriptively, interpretation of heterogeneity primarily emphasized PIs, given their greater relevance for real-world applicability. Meta-analyses were not conducted when fewer than 3 studies were available, as estimation of between-study heterogeneity and prediction intervals (PIs) would be statistically unreliable; such outcomes were synthesized narratively. To improve numerical stability for PI estimation, step counts were rescaled (per 100 steps per day) without changing standardized interpretation. Where appropriate (k≥10 studies), we assessed small-study effects using contour-enhanced funnel plots, Egger test (for continuous outcomes), and Peters linear regression test (for binary outcomes), interpreting these as indicators of small-study effects rather than sole proof of publication bias [21,22]. To explore potential sources of heterogeneity, meta-regressions for continuous moderators were visualized using bubble plots, whereas subgroup analyses for categorical moderators were summarized in tabular format to provide detailed group-specific estimates. These analyses are inherently observational and explore potential moderators rather than establish causality [23]. Leave-one-out sensitivity analyses were conducted for all primary outcomes to assess the robustness of pooled estimates and to identify influential studies contributing to between-study heterogeneity. Multiple reports from the same trial were treated as a single study unit, and no study contributed more than one effect size to the same meta-analysis. For multiarm trials, only one eligible comparison per study was included, preventing the duplicate use of shared control groups [24].

Quality Assessment

Methodological quality was assessed using the Cochrane Risk of Bias 2 tool [25]. Two reviewers independently evaluated 5 domains: randomization, deviations from intended interventions, missing outcome data, outcomes measurement, and selective reporting. Each domain was rated as low risk, some concerns, or high risk. Disagreements were resolved through discussion or consultation with a third reviewer. The certainty of evidence for primary outcomes was graded using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) approach [26], considering risk of bias, inconsistency, indirectness, imprecision, and publication bias.

Ethical Considerations

As this study is a systematic review and meta-analysis of previously published data, it did not involve the recruitment of human participants or access to identifiable private patient information. Consequently, institutional review board or research ethics board approval was not required. Ethical approval and informed consent were obtained by the authors of the primary studies included in this review.


Study Characteristics

A total of 8847 records were retrieved in the initial search. After stepwise screening, 17 studies were included. The selection process is presented in a PRISMA flow diagram (Figure 1).

Figure 1. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram illustrating the study selection process, identifying 17 randomized controlled trials (RCTs) comparing pulmonary telerehabilitation with center-based pulmonary rehabilitation (PR) in patients with chronic obstructive pulmonary disease (COPD).

A total of 17 trials [27-43] were identified and included in the quantitative synthesis. To ensure statistical independence, multiple reports originating from the same trial were linked via trial registration numbers, and data were extracted from a single source per outcome to avoid participant double-counting (Multimedia Appendix 4 for a detailed audit of study independence). The included trials were published between 2008 [36] and 2025 [43]. The trials were conducted across multiple regions, including Europe (the United Kingdom [27,34,35,39], Spain [29,37,43], Denmark [30,31], and Greece [40]), Australia [28,33,38,41], Asia (China [32]), North America (Canada [36]), and South America (Brazil [42]). Sample sizes ranged from 54 participants [29] to more than 150 participants [39]. All participants were adults with a confirmed diagnosis of COPD. One trial [33] enrolled patients with chronic respiratory diseases; however, in this meta-analysis, only data from its COPD subgroup were extracted. The most studies included a higher proportion of male participants. Regarding disease severity, participants predominantly had moderate-to-severe airflow limitations. Tele-PR interventions were classified into 3 distinct models: synchronous video supervision, in which direct remote supervision was provided by physiotherapists via real-time videoconferencing [30,31,33]; asynchronous digital platform support, in which structured rehabilitation content was delivered through web-based platforms [27,34,40], mobile apps, or wearable sensors [29,32], with supervision primarily provided as data-driven asynchronous feedback; and low-technology and telephone support [28,35,36,38,39,42,43], which relied primarily on printed materials for self-management guidance and was supplemented by telephone follow-up to enhance adherence and motivation. A minimal supervised model was also reported [37]. All trials compared Tele-PR with CBPR. The intervention duration was typically 8 to 10 weeks [29,31,33,36,38,41], with some studies lasting 7 weeks [27,28,39] or extending to 12 to 13 weeks [42,43]. Several trials reported long-term follow-up data at 6 to 12 months after the intervention [30,32,33,40,41,43]. Detailed characteristics of the included RCTs are summarized in Table 1. Intervention components and supervision models are detailed in Multimedia Appendix 5.

Table 1. Characteristics of the included randomized controlled trials.
StudyCountrySample size (Tele-PRa/control)Age (years), mean (SD)Male, % (n/N)FEV1b (% predicted),
mean (SD)
Tele-PR intervention (mode)Supervision (type and frequency)Control group (setting)Duration
Chaplin et al (2017) [27]UK51/52
  • Ic: 66.4 (10.1)
  • Cd: 66.1 (8.1)
  • I: 74.5%(38/51)
  • C: 63.5%(33/52)
  • I: 59 (29)
  • C: 55 (21)
Web based
(interactive website)
Asynchronous: weekly emails or calls for remote supportHospital or community PRe7 weeks
Holland et al (2017) [41]Australia80/86
  • I: 69 (13)
  • C: 69 (10)
  • I: 60.0% (48/80)
  • C: 59.3% (51/86)
  • I: 52 (19)
  • C: 49 (19)
Telephone based
(health coaching)
Minimal: 1 home visit+7 weekly telephone callsHospital outpatient PR8 weeks
Horton et al (2018) [39]UK145/142
  • I: 68 (9)
  • C: 67 (8)
  • I: 64.1% (93/145)
  • C: 66.2% (94/142)
  • I: 48 (19)
  • C: 49 (17)
Manual based
(“SPACE for COPD”)
Minimal: self-managed with manual+2 calls (weeks 2 and 4)Hospital outpatient PR7 weeks
Hansen et al (2020) [31]Denmark67/67
  • I: 68.4 (8.7)
  • C: 68.2 (9.4)
  • I: 47.8% (32/67)
  • C: 41.8% (28/67)
  • I: 33 (10)
  • C: 34 (8)
Video based
(real-time videoconferencing)
Synchronous: real-time supervision by physio via tabletHospital outpatient PR10 weeks
Maltais et al (2008) [36]Canada126/126
  • I: 66 (9)
  • C: 66 (9)
  • I: 54.0%(68/126)
  • C: 57.1%(72/126)
  • I: 46 (13)
  • C: 43 (13)
Home based
(exercise equipment provided)
Remote: initial home visit+weekly telephone callsHospital outpatient PR8 weeks
Vasilopoulou et al (2017) [40]Greece50/50
  • I: 66.9 (9.6)
  • C: 66.7 (7.3)
  • I: 93.6%(44/47)
  • C: 76.0%(38/50)
  • I: 50 (22)
  • C: 52 (17)
Tablet/web
(platform monitoring)
Asynchronous: data upload 3-4 times per week+ weekly feedback callsHospital outpatient PR12 months
Sacristán-Galisteo et al (2025) [43]Spain40/40
  • I: 67.9 (8.8)
  • C: 68.9 (8.2)
  • I: 72.5% (29/40)
  • C: 72.5% (29/40)
  • I: 53 (16)
  • C: 55 (16)
Telephone based
(home exercise diary)
Remote: weekly telephone calls (15-20 min) for motivationHealth center (face-to-face)13 weeks
Li et al (2022) [32]China50/49
  • I: 65.9 (8.9)
  • C: 65.6 (8.8)
  • I: 82.0% (41/50)
  • C: 76.0% (38/50)
  • I: 49 (11)
  • C: 50 (11)
App/WeChat
(smartphone uploads)
Remote: daily interaction via WeChat group (uploads and feedback)Hospital outpatient PR12 months
Cox et al (2022) [33]Australia47/50
  • I: 68 (9)
  • C: 67 (9)
  • I: 42.3% (30/71)
  • C: 50.7% (36/71)
  • I: 59 (25)
  • C: 63 (26)
Video based
(virtual group video)
Synchronous: real-time group videoconferencing via tabletHospital outpatient PR8 weeks
Cerdán-de-las-Heras et al (2021) [29]Spain27/27
  • I: 67.4 (10)
  • C: 72.5 (7)
  • I: 59.3% (16/27)
  • C: 55.6% (15/27)
  • I: 36 (14)
  • C: 33 (9)
App/sensor
(“VAPA” app+chest sensor)
Hybrid: autonomous AI supervision+remote therapist checksHospital standard PR8 weeks
Burge et al (2021) [28]Australia70/7169 (10)f41.8% (59/141)g50 (37‐63)hTelephone based
(home visit+calls)
Minimal: 1 home visit+7 weekly telephone callsHospital outpatient PR7 weeks
Chaplin et al (2022) [34]UK51/52
  • I: 68.3 (6.5)
  • C: 67.4 (8.6)
  • I: 90.0% (18/20)
  • C: 55.9% (19/34)
  • I: 54 (27)
  • C: 56 (19)
Web based
(online progress monitoring)
Asynchronous: online tracking+weekly remote contactHospital or community PR8 weeks
Hansen et al (2023) [30]Denmark67/67
  • 68 (9)f
  • 44.8% (60/134)g
  • 33.1 (9.4)
Home based
(long-term follow-up)
Supervised: (see [31])Hospital outpatient PR62 weeks
Güell et al (2008) [37]Spain28/29
  • I: 66 (6)
  • C: 63 (7)
  • 100.0% (57/57)g
  • I: 39 (8)
  • C: 38 (7)
Home based
(unsupervised after instruction)
Minimal: instructions at start, then self-managedHospital PR9 weeks
Lahham et al (2019) [38]Australia20/25
  • I: 67 (7)
  • C: 68 (9)
  • I: 45.0% (9/20)
  • C: 56.0% (14/25)
  • I: 52 (19)
  • C: 54 (19)
Telephone based
(home visit+calls)
Indirect: initial supervision then weekly callsSupervised group training8 weeks
Mendes de Oliveira et al (2010) [42]Brazil42/46
  • I: 66.4 (10)
  • C: 71.3 (7)
  • I: 81.8% (27/33)
  • C: 82.6% (19/23)
  • I: 48 (23)
  • C: 52 (24)
Home based
(unsupervised after training)
Minimal: initial training at clinic, then self-monitoredClinic-based PR12 weeks
Horton et al (2021) [35]UK26/25
  • I: 67 (9)
  • C: 67 (7)
  • I: 68.3% (43/63)
  • C: 67.3% (37/55)
  • I: 47 (18)
  • C: 51 (19)
Manual based
(similar to [39])
Minimal: same as [39] (manual+2 calls)Center-based PR7 weeks

aTele-PR: pulmonary telerehabilitation.

bFEV1: forced expiratory volume in 1 second.

cI: intervention group (pulmonary telerehabilitation).

dC: control group (center-based PR).

ePR: pulmonary rehabilitation

fOverall.

gAll.

hMedian (IQR).

Methodological Quality of Included Studies

The methodological quality of the included RCTs varied considerably (Figure 2). A total of 4 RCTs were rated as low risk of bias [28,33,36,41], while the remaining studies were classified as high risk or as having some concerns, mainly due to the analysis strategy they used (domain 2) or missing outcomes data (domain 3). For domain 1 (randomization process), risk was generally low, as most studies reported adequate sequence generation and allocation concealment; however, concerns were raised in a study by Cerdán-de-las-Heras et al [29] due to substantial baseline imbalance in a small sample. For domain 2 (deviations from intended interventions), risk depended on the type of analysis because blinding was difficult to implement. Studies using a strict intention-to-treat analysis were rated low risk [28,29,31,33,36,40,41,43], whereas studies relying on per-protocol analyses or completer-only analyses were judged to exhibit high risk [34,35,37-39,42]. Domain 3 (missing outcomes data) was the primary source of bias. High-risk ratings resulted from excessive dropout rates [27,39] or differential dropout between groups [31,37]. Long-term data in a study by Hansen et al [31] and Sacristán-Galisteo et al [43] were affected by substantial missingness, whereas only Cox et al [33] and Vasilopoulou et al [40] showed minimal missing data. For domain 4 (measurement of the outcome), risk was predominantly low, as blinded assessors were used for objective outcomes in most studies; Li et al [32] was an exception, as the absence of assessor blinding may have introduced detection bias. For domain 5 (selection of the reported result), risk was very low, and, in nearly all studies, reported outcomes were consistent with preregistered protocols or trial registry records. The risk of bias assessment of the included RCTs is provided in Multimedia Appendix 6.

Figure 2. Risk of bias summary of randomized controlled trials [27-43].

Meta-Analysis Results

Six-Minute Walk Distance

Nine trials [29,31,33,36,37,40-43] provided analyzable end-of-intervention data for 6MWD. In the primary random effects meta-analysis with HKSJ adjustment, no statistically significant difference in functional capacity was observed between Tele-PR and CBPR (k=9; n=950, 57.3%; mean difference [MD] –5.37 m, 95% CI –15.68 to 4.95; P=.26; τ²=103.97; =28.2%; PI=–32.73 to 22.27; Figure 3).

Potential sources of heterogeneity were explored using subgroup analyses and meta-regression. Meta-regression identified intervention duration as a significant source of heterogeneity (β=−5.22; P=.01; Table 2 and Figure 4). No significant associations were observed for economic status, publication year, training intensity, or baseline FEV1 (all P>.05; Table 2 and Multimedia Appendix 7).

Figure 3. Forest plot of randomized controlled trials evaluating the effect of interventions on 6-minute walk distance in patients with chronic obstructive pulmonary disease at the end of the intervention [29,31,33,36,37,40-43]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Table 2. Meta-regression results of examining covariates influencing short-term 6-min walk distance.
Covariateβ coefficient
(SE)
t (df)P value
Economic status (developing vs developed)−16.16 (17.78)−0.91 (7).39
Intervention duration (per week)−5.22 (1.42)−3.68 (7).01
Publication year−0.33 (0.78)−0.42 (7).69
Training intensity (medium vs high)−17.94 (10.59)−1.69 (7).13
Baseline FEV1a (% predicted)−0.01 (0.58)−0.02 (7).98

aFEV1: forced expiratory volume in 1 second.

Figure 4. Meta-regression bubble plot of the association between intervention duration (weeks) and the mean difference in 6-min walk distance (6MWD) [29,31,33,36,37,40,41,42,43]. The size of each bubble is proportional to the weight of the study in the random effects model. The solid line represents the predicted regression line, and the shaded area indicates the 95% CI.

At long-term follow-up, pooled analysis of 9 studies [29,31-33,36,37,40,41,43] also showed no statistically significant difference in 6MWD between groups (k=9; n=948, 57.2%; MD 2.97 m, 95% CI –12.22 to 18.17; P=.66; τ²=319.32; I²=44.5%; PI=−41.89 to 47.84; Figure 5).

Figure 5. Forest plot of randomized controlled trials assessing 6-minute walk distance in patients with chronic obstructive pulmonary disease. The analysis includes outcomes at long-term follow-up (≥6 mo) [29,31-33,36,37,40,41,43]. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.

Meta-regression analyses at long-term follow-up included 5 covariates: economic status, intervention duration, training intensity, publication year, and baseline FEV1. None of the covariates reached statistical significance at the .05 level (all P>.05; Table 3 and Multimedia Appendix 7).

Table 3. Meta-regression results of examining covariates influencing long-term 6-min walk distance.
Covariateβ coefficient (SE)t (df)P value
Economic status (developing vs developed)−2.84 (22.81)−0.12 (7).90
Publication year−0.34 (1.20)−0.28 (7).79
Intervention duration (weeks)−6.47 (3.15)−2.06 (7).08
Training intensity (medium vs high)−3.19 (17.10)−0.19 (7).86
Baseline FEV1a (% predicted)−0.61 (0.87)−0.70 (7).51

aFEV1: forced expiratory volume in 1 second.

Daily Steps

Five trials [29,31,34,35,41] reported daily step counts at the end of the intervention. The pooled analysis showed no statistically significant difference between Tele-PR and CBPR (k=5; n=253, 15.3%; MD 4.97 per 100 steps per day, 95% CI –1.84 to 11.78; P=.11; τ²=18.05; =23.8%; PI=–8.19 to 18.76; Figure 6).

At long-term follow-up, pooled analysis of 3 studies [31,35,41] showed no statistically significant overall difference (Figure 7).

Figure 6. Forest plot of randomized controlled trials assessing daily step counts in patients with chronic obstructive pulmonary disease at the end of the intervention [29,31,34,35,41]. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Figure 7. Forest plot of randomized controlled trials evaluating the effect of interventions on daily step counts in patients with chronic obstructive pulmonary disease at long-term follow-up (≥6 mo) [31,35,41]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
St. George’s Respiratory Questionnaire

Three trials [29,36,40] reported SGRQ outcomes at the end of the intervention. Pooled analysis showed no statistically significant difference between Tele-PR and CBPR (k=3; n=362, 21.8%; MD 0.45, 95% CI –7.11 to 8.00; P=.82; τ²=3.84; =18.8%; PI=–14.65 to 17.49; Figure 8).

At long-term follow-up [29,36,40], pooled analysis likewise showed no statistically significant difference between groups (k=3; n=336, 20.3%; MD –0.01, 95% CI –5.08 to 5.05; P>.99; τ²=1.51; =0%; PI=–10.48 to 12.39; Figure 9).

Figure 8. Forest plot of randomized controlled trials evaluating the effect of interventions on St. George’s Respiratory Questionnaire in patients with chronic obstructive pulmonary disease at the end of the intervention [29,36,40]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Figure 9. Forest plot of randomized controlled trials evaluating the effect of interventions on St. George’s Respiratory Questionnaire in patients with chronic obstructive pulmonary disease at long-term follow-up (≥6 mo) [29,36,40]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
COPD Assessment Test

Three trials [31,40,43] reported CAT (chronic obstructive pulmonary disease assessment test) scores at the end of the intervention. Pooled analysis showed no statistically significant difference between Tele-PR and CBPR (k=3; n=298, 18.0%; MD 0.24, 95% CI –8.44 to 8.92; P=.91; τ²=10.42; =89.1%; PI=–16.98 to 17.50; Figure 10).

At long-term follow-up [31,32,40,43], pooled analysis showed no statistically significant overall difference (k=4; n=374, 22.6%; MD 1.07, 95% CI –2.89 to 5.20; P=.45; τ²=4.54; =75.4%; PI=–7.63 to 9.54; Figure 11).

Figure 10. Forest plot of randomized controlled trials evaluating the effect of interventions on chronic obstructive pulmonary disease (COPD) assessment test in patients with COPD at the end of the intervention [31,40,43]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Figure 11. Forest plot of randomized controlled trials evaluating the effect of interventions on chronic obstructive pulmonary disease assessment test in patients with COPD at long-term follow-up (≥6 mo) [31,32,40,43]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Chronic Respiratory Questionnaire–Dyspnea

Six trials [27,33,36,37,39,41] reported Chronic Respiratory Questionnaire–Dyspnea outcomes at the end of the intervention. Pooled analysis showed no statistically significant difference between Tele-PR and CBPR (k=6; n=791, 47.7%; MD 0.10, 95% CI –0.39 to 0.60; P=.62; τ²=0.22; =24.8%; PI=–0.75 to 0.97; Figure 12).

At long-term follow-up [33,36,37,39,41], pooled analysis also showed no statistically significant difference (k=5; n=686, 41.4%; MD 0.15, 95% CI –0.25 to 0.54; P=.34; τ²=0.07; =0%; PI=-0.79 to 0.96; Figure 13).

Figure 12. Forest plot of randomized controlled trials evaluating the effect of interventions on Chronic Respiratory Questionnaire–Dyspnea domain in patients with chronic obstructive pulmonary disease at the end of the intervention [27,33,36,37,39,41]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Figure 13. Forest plot of randomized controlled trials evaluating the effect of interventions on Chronic Respiratory Questionnaire–Dyspnea domain in patients with chronic obstructive pulmonary disease at long-term follow-up (≥6 mo) [33,36,37,39,41]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Hospital Anxiety and Depression Scale–Anxiety

Three trials [31,33,43] reported Hospital Anxiety and Depression Scale–Anxiety outcomes at the end of the intervention. Pooled analysis showed no statistically significant difference between Tele-PR and CBPR (k=3; n=325, 19.6%; MD –0.43, 95% CI –2.41 to 1.55; P=.45; τ²=0.29; =38.3%; PI=–4.83 to 3.93; Figure 14).

At long-term follow-up [31,33,43], pooled analysis showed no statistically significant overall difference (Figure 15).

Figure 14. Forest plot of randomized controlled trials evaluating the effect of interventions on Hospital Anxiety and Depression Scale–Anxiety subscale in patients with chronic obstructive pulmonary disease at the end of intervention [31,33,43]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Figure 15. Forest plot of randomized controlled trials evaluating the effect of interventions on Hospital Anxiety and Depression Scale–Anxiety subscale in patients with chronic obstructive pulmonary disease at long-term follow-up (≥6 mo) [31,33,43]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Hospital Anxiety and Depression Scale–Depression

Three trials [31,33,43] reported Hospital Anxiety and Depression Scale–Depression outcomes at the end of the intervention. Pooled analysis showed no statistically significant difference between Tele-PR and CBPR (k=3; n=325, 19.6%; MD 0.03, 95% CI –1.92 to 1.97; P=.96; τ²=0.30; =39.5%; PI =–4.01 to 4.13; Figure 16).

Figure 16. Forest plot of randomized controlled trials evaluating the effect of interventions on Hospital Anxiety and Depression Scale–Depression subscale in patients with chronic obstructive pulmonary disease at the end of intervention [31,33,43]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.

At long-term follow-up [31,33,43], pooled analysis likewise showed no statistically significant overall difference (Figure 17).

Figure 17. Forest plot of randomized controlled trials evaluating the effect of interventions on Hospital Anxiety and Depression Scale–Depression subscale in patients with chronic obstructive pulmonary disease at long-term follow-up (≥6 mo) [31,33,43]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Modified Medical Research Council Questionnaire

Three trials [33,40,41] reported modified Medical Research Council questionnaire outcomes at the end of intervention. Pooled analysis showed no statistically significant difference between Tele-PR and CBPR (k=3; n=380, 22.9%; MD 0.09, 95% CI –0.78 to 0.95; P=.71; τ²=0.09; =74.8%; PI=–1.76 to 1.88; Figure 18).

At long-term follow-up [32,33,40,41], pooled analysis showed no statistically significant overall difference (Figure 19).

Figure 18. Forest plot of randomized controlled trials evaluating the effect of interventions on the modified Medical Research Council in patients with chronic obstructive pulmonary disease at the end of intervention [33,40,41]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ, Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Figure 19. Forest plot of randomized controlled trials evaluating the effect of interventions on the modified Medical Research Council in patients with chronic obstructive pulmonary disease at long-term follow-up (≥6 mo) [32,33,40,41]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Pulmonary Rehabilitation Adapted Index of Self-Efficacy

Three trials [33,39,41] reported Pulmonary Rehabilitation Adapted Index of Self-Efficacy outcomes at the end of the intervention. Pooled analysis showed no statistically significant difference between Tele-PR and CBPR (k=3; n=448, 27.0%; MD –0.83, 95% CI –9.29 to 7.64; P=.71; τ²=9.74; =86.7%; PI=–16.96 to 15.44; Figure 20).

At long-term follow-up [33,39,41], pooled analysis likewise showed no statistically significant overall difference (Figure 21).

Figure 20. Forest plot of randomized controlled trials evaluating the effect of interventions on Pulmonary Rehabilitation Adapted Index of Self-Efficacy in patients with COPD at the end of intervention [33,39,41]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Figure 21. Forest plot of randomized controlled trials evaluating the effect of interventions on Pulmonary Rehabilitation Adapted Index of Self-Efficacy in patients with chronic obstructive pulmonary disease at long-term follow-up (≥6 mo) [33,39,41]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; MD: mean difference; Tele-PR: pulmonary telerehabilitation.
Dropout Rate

Ten trials [27,29,31-33,36,39,41-43] reported end of intervention dropout data. Pooled random effects meta-analysis with HKSJ adjustment showed no statistically significant difference in dropout rate between Tele-PR and CBPR (k=10; n=1404, 84.7%; risk ratio 0.66, 95% CI 0.40-1.07; P=.08; τ²=0.33; =76.4%; PI=0.15-3.01; Figure 22).

Meta-regression analyses indicated that intervention duration, training intensity, publication year, baseline FEV1 (%), and economic status were not statistically significantly associated with dropout rate (all P>.05; Table 4 and Multimedia Appendix 7).

At long-term follow-up, pooled analysis of 4 studies [32,36,40,43] showed no statistically significant difference in dropout rate (Figure 23).

Figure 22. Forest plot of randomized controlled trials evaluating the effect of interventions assessing dropout rates in patients with chronic obstructive pulmonary disease at the end of intervention [27,29,31-33,36,39,41-43]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; RR: risk ratio; Tele-PR: pulmonary telerehabilitation.
Table 4. Meta-regression results of examining covariates influencing end of intervention dropout rate.
Covariateβ coefficient (SE)t (df)P value
Intervention duration (weeks)0.08 (0.12)0.68 (8).52
Training intensity (medium vs high)0.04 (0.55)0.07 (8).94
Economic status (developing vs developed)−0.38 (0.60)−0.64 (8).54
Publication year0.03 (0.05)0.76 (8).47
Baseline FEV1a (%)0.02 (0.03)0.85 (8).42

aFEV1: forced expiratory volume in 1 second.

Figure 23. Forest plot of randomized controlled trials evaluating the effect of interventions assessing dropout rates in patients with chronic obstructive pulmonary disease at long-term follow-up (≥6 mo) [32,36,40,43]. The analysis was performed using a random effects model. CBPR: center-based pulmonary rehabilitation; HKSJ: Hartung-Knapp-Sidik-Jonkman; RR: risk ratio; Tele-PR: pulmonary telerehabilitation.
Endurance Shuttle Walk Test

Two trials [27,39] Endurance Shuttle Walk Test outcomes. In a study by Horton et al [39], both home-based and center-based PR demonstrated clinically meaningful improvements exceeding the minimal clinically important difference (mean change 212 s vs 353 s, respectively). The between-group difference was −141 seconds (95% CI −252 to −31; P=.01). In a study by Chaplin et al [27], significant within-group improvements were observed in both the web-based (mean change 189 s) and conventional PR groups (mean change 185 s), with no significant between-group difference.

Willingness to Pay and Direct Costs

Willingness to pay did not differ meaningfully between Tele-PR and CBPR, with reported means of approximately US $175 to $176 and medians of US $83 to $100, and no statistically significant difference was detected (P=.98) [28]. In 1 study [41], the estimated cost of Tele-PR was AUD 298 (US $224), which was slightly lower than that of CBPR at AUD 312 (US $234), corresponding to a difference of AUD 14 (US $11).

Adverse Events

Eight (47.1%) [29,31,33,36,39-41,43] of 17 included trials reported adverse events or clinical safety outcomes, including serious adverse events, hospitalizations, acute exacerbations of COPD, or deaths. Among studies that explicitly monitored serious adverse events, no intervention-related serious adverse events were identified [31,33,36,39,41]. Event rates, where reported, were generally similar between telerehabilitation and center-based rehabilitation [31,33,36,40]. However, harms were not consistently prespecified or systematically reported across trials, and the scope and definitions of adverse events varied substantially.

Subgroup Analysis

Subgroup analyses were conducted according to delivery models, supervision intensity, and supervision modality (Multimedia Appendix 7). For 6MWD at both the end of intervention and long-term follow-up (≥6 mo), no statistically significant subgroup differences were observed across delivery models, supervision intensity, or supervision modality (all P>.05), although moderate heterogeneity was noted in some low-technology HBPR strata. For daily steps and Chronic Respiratory Questionnaire–Dyspnea (CRQ-D) domain, no significant subgroup effects by delivery models were identified at either time point (all P>.05). In contrast, for the CAT, delivery models showed significant subgroup differences at both end of intervention and long-term follow-up (both P<.001), with digitally supported Tele-PR demonstrating small, nonsignificant changes, whereas low-technology HBPR showed worsening CAT scores in single-study strata. For the dropout rate, no significant subgroup differences were detected by delivery models or supervision modality (all P>.05), although heterogeneity was substantial in several subgroups. Overall, subgroup effects were generally limited, except for CAT, and several strata were constrained by small numbers of studies.

Sensitivity Analysis and Publication Bias Test

Leave-one-out sensitivity analyses were conducted for all primary outcomes to assess the robustness of pooled estimates and to identify influential studies contributing to between-study heterogeneity (Multimedia Appendix 8). Overall, pooled estimates for several outcomes showed sensitivity to the exclusion of individual studies, indicating that some findings were influenced by specific trial characteristics.

For 6MWD, exclusion of a single telephone-based study [40] resulted in a shift of the pooled estimate toward CBPR (MD –8.63 m; P=.045), indicating that the overall effect estimate was sensitive to this study. For daily step counts, the marginally significant pooled effect was driven primarily by 1 study [35]; removal of this study rendered the pooled effect nonsignificant (P=.12) and substantially reduced heterogeneity.

For patient-reported outcomes, substantial heterogeneity in health status measured by the CAT was attributable to a single study [43]; exclusion of this study eliminated heterogeneity and attenuated the pooled effect. Similarly, heterogeneity in self-efficacy outcomes was largely driven by 1 study [39], and removal of this study reduced between-study variance and altered the pooled estimate.

In contrast, pooled estimates for modified Medical Research Council Dyspnea score, depressive symptoms, and dropout rate were robust to leave-one-out analyses. Although individual studies [34,41] showed effects in opposite directions for dropout, the overall conclusion of no statistically significant difference between groups remained unchanged across all sensitivity analyses.

Visual inspection of the funnel plot for dropout rate revealed a relatively symmetrical distribution of studies (Figure 24). This was confirmed by Peters test, which showed no evidence of significant publication bias or small-study effects (t(8)=.43; P=.68). However, given the limited number of included studies, the results of publication bias tests should be interpreted cautiously.

Figure 24. Contour-enhanced funnel plot for the assessment of publication bias in dropout rates [27,29,31-33,36,39,41-43]. Each dot represents an individual study included in the meta-analysis. The vertical axis represents the SE (a measure of study precision), and the horizontal axis represents the risk ratio (log scale). The shaded regions indicate statistical significance levels (P<.10, P<.05, and P<.01), while the white area corresponds to nonsignificant results (P>.10).

GRADE Assessment

The certainty of evidence ranged from moderate to very low across outcomes. Evidence for 6MWD was rated as low certainty and was downgraded by 1 level for risk of bias because blinding was not feasible and attrition occurred in several trials. Evidence for dropout rate was rated as very low certainty and was downgraded for risk of bias, substantial inconsistency, and imprecision, reflected by wide CIs and PIs. Health status outcomes (CAT, SGRQ, and Chronic Respiratory Questionnaire–Dyspnea) were rated as low certainty and were downgraded for inconsistency, likely related to heterogeneous intervention modalities, and for imprecision. These certainty ratings should temper interpretation of pooled estimates and underscore variability in real-world effects. The certainty of evidence assessed using the GRADE approach is summarized in Table 5.

Table 5. Summary of findings and certainty of evidence (GRADE) for tele-pulmonary rehabilitation compared with center-based pulmonary rehabilitation.
Certainty assessmentPatients, nEffectCertaintyImportance
Studies (n)Study designRisk of biasInconsistencyIndirectnessImprecisionOther considerationsInterventionComparisonRelative (95% CI)Absolute (95% CI)
6-Minute walk distance (end of intervention)
9Randomized trialsSeriousaSeriousbNot seriousNot seriousNone476474cMDd −5.37 m (−15.68 to 4.95)⨁⨁◯◯Lowa,bCritical
6-Minute walk distance (long-term follow-up [≥6 mo])
9Randomized trialsSeriousaSeriouseNot seriousSeriousfNone475473MD 2.97 m (−12.22 to 18.17)⨁◯◯◯Very lowa,eCritical
Dropout rate (end of intervention)
10Randomized trialsSeriousaSeriousgNot seriousSerioushNone142/699 (20.3%)212/705 (30.1%)RRi 0.66 (0.40 to 1.07)102 fewer per 1000 (from −180 to 21)⨁◯◯◯Very lowa,g,hCritical
Dropout rate (long-term follow-up [≥6 mo])
4Randomized trialsSeriousaNot seriousNot seriousVery seriousjNone35/266 (13.2%)27/265 (10.2%)RR 1.33 (0.40 to 4.43)34 more per 1000 (from 61 to 349)⨁◯◯◯Very lowa,jCritical
COPD assessment test (end of intervention)
3Randomized trialsSeriousaSeriouskNot seriousSeriouslNone146152MD 0.24 (−8.44 to 8.92)⨁◯◯◯Very lowa,k,lImportant
COPD assessment test (long-term follow-up [≥6 mo])
4Randomized trialsSeriousaSeriousmNot seriousSeriousnNone187187MD 1.07 (−2.89 to 5.2)⨁◯◯◯Very lowa,m,nImportant
Daily steps (end of intervention)
5Randomized trialsSeriousaSeriousoNot seriousSeriouspNone119134MD 4.97 (−1.84 to 11.78 )⨁◯◯◯Very lowa,o,pImportant
Daily steps (long-term follow-up [≥6 mo])
3Randomized trialsSeriousaNot seriousNot seriousVery seriousqNone6973MD −1.01 (−6.27 to 4.2)⨁◯◯◯Very lowa,qImportant
St. George’s Respiratory Questionnaire (end of intervention)
3Randomized trialsSeriousaSeriousrNot seriousSerioussNone184178MD 0.45 (−7.11 to 8 )⨁◯◯◯Very lowa,r,sImportant
St. George’s Respiratory Questionnaire (long-term follow-up [≥6 mo])
3Randomized trialsSeriousaNot seriousNot seriousSerioustNone169167MD −0.01 (−5.08 to 5.05)⨁⨁◯◯Lowa,tImportant
Chronic Respiratory Questionnaire–Dyspnea (end of intervention)
6Randomized trialsSeriousaNot seriousNot seriousNot seriousNone404387MD 0.1 (−0.39 to 0.6)⨁⨁⨁◯ModerateaImportant
Chronic Respiratory Questionnaire–Dyspnea (long-term follow-up [≥6 mo])
5Randomized trialsSeriousaNot seriousNot seriousSeriousuNone343343MD 0.15 (−0.25 to 0.54)⨁⨁◯◯Lowa,uImportant
Hospital Anxiety and Depression Scale–Anxiety (end of intervention)
3Randomized trialsSeriousaNot seriousNot seriousSeriousvNone161164MD −0.43 (−2.41 to 1.55)⨁⨁◯◯Lowa,vImportant
Hospital Anxiety and Depression Scale–Anxiety (long-term follow-up [≥6 mo])
3Randomized trialsSeriousaNot seriousNot seriousSeriouswNone158157MD −0.06 (−0.93 to 0.81 )⨁⨁◯◯Lowa,wImportant
Hospital Anxiety and Depression Scale–Depression (end of intervention)
3Randomized trialsSeriousaNot seriousNot seriousSeriousvNone161164MD 0.03 (−1.92 to 1.97)⨁⨁◯◯Lowa,vImportant
Hospital Anxiety and Depression Scale–Depression (long-term follow-up [≥6 mo])
3Randomized trialsSeriousaNot seriousNot seriousSeriousxNone158157MD 0.44 (−0.47 to 1.35)⨁⨁◯◯Lowa,xImportant
Modified Medical Research Council Questionnaire (end of intervention)
3Randomized trialsSeriousaSeriousyNot seriousNot seriousNone187193MD 0.09 (−0.78 to 0.95)⨁⨁◯◯Lowa,yImportant
Modified Medical Research Council Questionnaire (long-term follow-up [≥6 mo])
4Randomized trialsSeriousaSeriouszNot seriousSeriousaaNone234237MD 0.08 (−0.49 to 0.6)⨁◯◯◯Very lowa,z,aaImportant
PR Adapted Index of Self-Efficacy (end of intervention)
3Randomized trialsSeriousaSeriousabNot seriousSeriousacNone221227MD −0.83 (−9.29 to 7.6)⨁◯◯◯Very lowa,ab,acImportant
PR Adapted Index of Self-Efficacy (long-term follow-up [≥6 mo])
3Randomized trialsSeriousaNot seriousNot seriousSeriousadNone206215MD −1.27 (−5.49 to 2.95)⨁⨁◯◯Lowa,adImportant

aMost studies had a high risk of performance bias due to lack of blinding of participants and personnel, which is inherent to exercise interventions.

bDowngraded for inconsistency due to model-level variability and prediction intervals spanning clinically important benefit and harm across settings.

cNot applicable.

dMD: mean difference.

eDowngraded 1 level due to moderate heterogeneity (I2=44.5%) and variability in long-term adherence across studies.

fAlthough the CI crosses the line of no effect, it excludes the minimal clinically important difference of 30 m, suggesting no clinically meaningful difference.

gDowngraded 1 level due to extreme heterogeneity (I2=86%) with conflicting directions of effect.

hDowngraded 1 level due to wide CIs (0.40-1.07) crossing the line of no effect.

iRR: risk ratio.

jDowngraded 2 levels due to very wide CIs that cross the line of no effect and include potential for both substantial benefit and substantial harm.

kSubstantial heterogeneity was observed across studies, with inconsistent effect estimates across intervention models.

lCIs include both benefit and no effect and do not consistently exceed the minimal clinically important difference.

mDowngraded 1 level due to high heterogeneity (I2=75%) with conflicting directions of effect across studies.

nDowngraded 1 level due to wide CIs that cross the line of no effect and include the minimal clinically important difference of 2 points for potential harm.

oAlthough statistical heterogeneity was low, effect estimates were sensitive to individual studies and varied across intervention models.

pCIs include both increased and decreased daily step counts and do not exclude no effect.

qDowngraded 2 levels due to very small sample size (n=142, below the optimal information size) and wide CIs that cross the line of no effect.

rinconsistent effect estimates across different intervention models.

sCIs include both benefit and no effect and do not consistently exceed the minimal clinically important difference.

tDowngraded 1 level due to CIs crossing the line of no effect and including the minimal clinically important difference of 4 units in both directions.

uDowngraded 1 level due to CIs crossing the line of no effect and including the minimal clinically important difference of 0.5 points in both directions.

vCIs included both benefit and no effect, and the total sample size was limited, resulting in imprecision.

wDowngraded 1 level due to limited sample size (n=315, below optimal information size) and CIs crossing the line of no effect.

xDowngraded 1 level due to limited sample size (n=315, below optimal information size) and CIs crossing the line of no effect.

ySubstantial heterogeneity was observed across studies, with inconsistent effect estimates.

zDowngraded 1 level due to high heterogeneity with conflicting directions of effect.

aaDowngraded 1 level due to wide CIs that cross the line of no effect and include the minimal clinically important difference of 0.5 points in both directions.

abSubstantial heterogeneity was observed across studies, with highly variable effect estimates depending on intervention modality.

acCIs were wide and crossed the line of no effect, and no established minimal clinically important difference is available for Pulmonary Rehabilitation Adapted Index of Self-Efficacy.

adDowngraded 1 level due to wide CIs crossing the line of no effect.


Principal Findings

This systematic review and meta-analysis evaluated the relative effectiveness of Tele-PR compared to CBPR in patients with COPD. Overall, no statistically significant differences were observed at the end of the intervention across key outcomes, including functional capacity, dyspnea, and health-related quality of life. These findings indicate that, on average, Tele-PR may achieve short-term clinical effects similar to those of CBPR when implemented under structured and well-defined conditions. However, subsequent subgroup analyses and investigations of heterogeneity suggest that Tele-PR should not be regarded as a single homogeneous intervention [33]. Substantial variation was observed in effect consistency and stability across different remote delivery models, particularly with respect to supervision intensity and interaction modality. Accordingly, interpretations of “equivalence” between Tele-PR and CBPR based solely on pooled average effects should be made with caution, as such summaries may obscure meaningful differences across implementation contexts [19].

Long-Term Efficacy and Maintenance Rehabilitation

In this analysis, differences in outcomes between rehabilitation modalities diminished during postintervention follow-up, indicating a time-dependent convergence. This pattern suggests that, regardless of delivery format, remote and center-based PR programs face challenges in sustaining long-term benefits [3]. Several factors may contribute to this attenuation of effects, although these potential explanatory variables were not directly assessed in this meta-analysis. First, adherence to regular exercise training often declines after structured supervision ends, particularly when ongoing support is limited [44,45]. Second, longer follow-up periods may include seasonal variations, acute exacerbations, or intercurrent illnesses, which can disrupt training continuity and negatively impact functional outcomes [46,47]. Third, many existing Tele-PR programs primarily focus on exercise training, while systematic reinforcement of relapse prevention and long-term self-management skills remains relatively underdeveloped [48]. Importantly, this convergence of outcomes does not imply that early rehabilitation effects lack clinical significance. Rather, it underscores the need to conceptualize PR—whether delivered remotely or in person—as an ongoing process that requires sustained behavioral and educational support, rather than as a time-limited intervention. This perspective aligns with the concept of maintenance rehabilitation emphasized in recent clinical guidelines and supports the future integration of educational components, behavioral maintenance strategies, and digital platforms to improve long-term effectiveness [49-51].

Physiological Mechanisms and Safety Profile

The included studies predominantly enrolled patients with moderate-to-severe COPD, a population in whom home-based training has traditionally raised safety concerns [3]. Evidence suggests that, under appropriate screening and standardized implementation, Tele-PR was not associated with increased short-term serious adverse events and demonstrated a safety profile comparable to that of CBPR [31,33,36,39,41]. Functional improvements likely extend beyond aerobic enhancement, as PR improves respiratory mechanics and ventilatory efficiency [14,52-54]. Although physiological markers were not directly synthesized, dyspnea improvements in Tele-PR suggest overlapping mechanisms with conventional PR [55]. Emerging evidence of improved gas exchange in hypercapnic patients undergoing PR further supports integrating refined physiological monitoring in higher-risk subgroups [56].

Supervision Modalities and Psychological Safety

An important observation from this review is that supervision intensity may contribute to heterogeneity in the effectiveness of remote rehabilitation. Subgroup analyses [31,33] indicated that synchronous, video-supervised programs demonstrated lower statistical heterogeneity in functional capacity outcomes, whereas low-supervision or asynchronous approaches exhibited greater variability. These findings raise the possibility that, beyond training dose alone, real-time interaction may support psychological safety, perceived support, and confidence during exercise, which in turn may influence engagement and adherence [48,57]. Conversely, insufficient supervision in home-based programs may heighten concerns regarding exercise-related risk and limit participation [58,59]. However, these interpretations should be approached cautiously. Given the exploratory nature of subgroup analyses and the limited number of studies within specific supervision categories, the independent contributions of psychological factors, adherence, and training intensity cannot be clearly disentangled. Future trials should prospectively incorporate measures of psychological safety, self-efficacy, and fear of exercise to clarify the pathways through which supervision modalities influence outcomes.

Comparison With Standard Care

The relative effectiveness of Tele-PR was closely linked to the characteristics of the comparator intervention. When compared to lower-intensity programs or usual care, Tele-PR was more likely to demonstrate a favorable relative effect [60]; however, when compared to high-intensity, face-to-face supervised rehabilitation, these advantages were substantially attenuated [43]. These findings suggest that conclusions regarding the equivalence of Tele-PR should be interpreted as context dependent rather than as intrinsic or universally applicable [61]. Accordingly, Tele-PR is best viewed as complementary to, rather than as a universal substitute for, high-quality center-based rehabilitation, with optimal use determined by patient characteristics, resource availability, and service capacity [62].

Barriers to Implementation and Digital Literacy

A notable gap was observed between improvements in functional capacity and changes in daily physical activity. Although gains in exercise capacity were observed under certain remote rehabilitation models, corresponding increases in daily step counts were not consistently demonstrated and were sensitive to the influence of individual studies [35]. This pattern suggests that functional improvement alone may be insufficient to produce sustained behavioral change [63]. Future Tele-PR strategies may therefore need to incorporate structured behavioral interventions alongside monitoring and feedback mechanisms. Digital literacy and technology access remain implementation barriers [64,65], and simpler, low-technology models with strong human support may achieve higher adherence in certain populations [41]. Platforms should prioritize usability and minimize cognitive burden to avoid undermining effectiveness [66,67].

Cost-Effectiveness and Economic Considerations

Although this review primarily focused on clinical outcomes, economic considerations are critical for the sustainable implementation of remote rehabilitation. Available evidence [32,40,68,69] suggests that Tele-PR is broadly comparable to CBPR in terms of direct program costs and may offer potential long-term economic benefits by improving accessibility and intervention completion rates, consistent with findings from recent cost-utility evaluations of digital therapeutics for PR. However, cost-effectiveness evidence remains heterogeneous [70], underscoring the need for standardized economic evaluations in future trials.

Innovation and Contribution

Previous systematic reviews of PR and telerehabilitation in COPD have largely focused on estimating average between-group differences, reporting minimal clinically important difference achievement, or comparing remote and center-based delivery formats [71,72], while foundational Cochrane work established the overall efficacy of PR compared with usual care [73]. Few syntheses have systematically examined supervision-related heterogeneity or incorporated PIs to estimate expected effect ranges across settings. We observed substantial variation in program structure, supervision models, and comparator intensity, complicating the interpretation of pooled averages. By integrating supervision-based stratification with PI-informed interpretation, this review provides a context-sensitive framework for evaluating Tele-PR relative to CBPR. To our knowledge, it is among the first to frame Tele-PR equivalence as context dependent rather than model intrinsic, supporting tailored implementation in real-world health care systems.

Limitations

Several limitations should be acknowledged. First, most included studies were nonblinded, and implementation bias could not be fully avoided. Second, the number of long-term follow-up studies was limited, resulting in insufficient statistical power for certain long-term outcome analyses. Third, definitions of “usual care” and rehabilitation intensity varied across studies, potentially introducing residual confounding. In addition, several subgroup analyses were based on a small number of studies and should therefore be interpreted as exploratory rather than definitive, particularly where a subgroup was informed by a single trial. The term “noninferiority” as used in this study refers to the overall distribution of effect directions and their 95% CIs, rather than a prespecified noninferiority margin; thus, it should be interpreted as indicating clinical equivalence rather than constituting a strict statistical test of noninferiority. Consistent with the PRISMA-S reporting framework, the omission of trial registry and gray literature searches may have resulted in the underrepresentation of ongoing, unpublished, or null-result trials, potentially contributing to residual publication bias despite comprehensive database coverage. Furthermore, the small number of studies available for several outcomes precluded formal risk of bias–based sensitivity analyses, which should be taken into account when assessing the robustness of the findings. The clinical implications outlined earlier are primarily based on evidence of moderate to low certainty and should be applied cautiously in real-world settings, with due consideration of local resources, patient characteristics, and operational conditions. Subgroup and meta-regression analyses were exploratory and intended to generate hypotheses rather than confirm model superiority.

Conclusions

Distinct from prior reviews that treated Tele-PR as a homogeneous intervention, we stratified remote programs by supervision intensity and delivery models and proposed a structured “supervision gradient” framework to interpret model-dependent consistency of effects, with practical implications for designing Tele-PR as a supervision-structured service incorporating real-time oversight and long-term behavioral maintenance support. Tele-PR is a feasible option for delivering PR to adults with COPD and, on average, yields short-term clinical outcomes comparable to those of CBPR. As effects varied across studies and the certainty of the evidence was low to very low, implementation should be context aware and model specific. Programs incorporating structured real-time professional supervision appear to produce more consistent outcomes, whereas low-technology HBPR may require enhanced behavioral support to achieve stable symptom control and improvements in daily activity levels. Longer-term maintenance remains a challenge, indicating that remote rehabilitation should be designed as an ongoing service rather than a time-limited intervention. Accordingly, Tele-PR may be particularly valuable for expanding access to PR and addressing existing accessibility gaps, while CBPR remains essential for patients who require close in-person supervision or complex multidisciplinary care.

Acknowledgments

The authors gratefully acknowledge all patients who participated in the studies included in this meta-analysis and the study authors who provided original data for their help with this study. The authors declare the use of generative artificial intelligence (Gen-AI) in the research and writing process. According to the GAIDeT (Generative Artificial Intelligence Delegation Taxonomy 2025) [74], summarizing text was delegated to Gen-AI tools under full human supervision. The Gen-AI tool used was ChatGPT (OpenAI, GPT-4-level large language model). Responsibility for the final manuscript lies entirely with the authors. Gen-AI tools are not listed as authors and do not bear responsibility for the final outcomes. The tool was used to improve clarity, language, and structure of the manuscript. All scientific decisions, data analysis, interpretation of results, and conclusions were made by the authors.

Funding

Funding was received from the Noncommunicable Chronic Diseases-National Science and Technology Major Project (2023ZD0506700, 2023ZD0506704) and the 2023 Henan Special Research Project of TCM on “Double First-Class” Construction (grant HSRP-DFCTCM-2023-3-12).

Data Availability

All data generated or analyzed during this study are included in this published study and its supplementary information files.

Authors' Contributions

HZ, YL, and GZ formulated the research question and conceived the study. LW and PJ contributed to the methodology. YL, LW, PJ, and HH designed and wrote the review protocol with crucial input from JL and HZ. YL and LW developed the search strategy and conducted the literature search. YL and HH independently screened all records and determined eligibility. PJ oversaw the study selection process. All authors contributed to conflict resolution. YL, PJ, GZ, and HH were responsible for data curation. YL and LW critically appraised the included studies with crucial input from GZ and PJ. HH and PJ independently addressed the quality of effect estimates. YL and GZ were responsible for data visualization. YL supervised the study. JSL and HZ were responsible for project administration. YL and GZ wrote the first draft of the manuscript. PLJ, HH, LW, JSL, and HZ were involved in the writing and revision of the manuscript. All authors critically reviewed and approved the final version of the manuscript.

Conflicts of Interest

None declared.

Multimedia Appendix 1

Changes to preregistered protocol.

DOCX File, 15 KB

Multimedia Appendix 2

Full electronic search strategies for all databases.

DOCX File, 22 KB

Multimedia Appendix 3

Reasons for exclusion of full-text articles.

DOCX File, 20 KB

Multimedia Appendix 4

Audit of study independence linkage of multiple reports via trial registration numbers and strategy.

DOCX File, 14 KB

Multimedia Appendix 5

Key intervention strategies and supervision models.

DOCX File, 19 KB

Multimedia Appendix 6

Risk of bias assessment of included randomized controlled trials.

DOCX File, 20 KB

Multimedia Appendix 7

Subgroup analyses and meta-regression plots.

DOCX File, 776 KB

Multimedia Appendix 8

Leave-one-out sensitivity analyses for all primary outcomes.

DOCX File, 28 KB

Checklist 1

PRISMA 2020, PRISMA 2020 for abstracts, and PRISMA-S checklists.

PDF File, 280 KB

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CAT: chronic obstructive pulmonary disease assessment test
CBPR: center-based pulmonary rehabilitation
COPD: chronic obstructive pulmonary disease
GAIDeT: Generative Artificial Intelligence Delegation Taxonomy
Gen-AI: generative artificial intelligence
GRADE: Grading of Recommendations, Assessment, Development, and Evaluation
HBPR: home-based pulmonary rehabilitation
HKSJ: Hartung-Knapp-Sidik-Jonkman
MD: mean difference
PI: prediction interval
PICOS: population, intervention, comparator, outcomes, and study design
PR: pulmonary rehabilitation
PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses
RCT: randomized controlled trial
SGRQ: St George’s Respiratory Questionnaire
Tele-PR: pulmonary telerehabilitation


Edited by Stefano Brini; submitted 11.Jul.2025; peer-reviewed by Eleuterio A Sanchez-Romero, Hao Chen; accepted 02.Mar.2026; published 17.Apr.2026.

Copyright

© Ya Li, Hailong Zhang, Guixiang Zhao, Jiansheng Li, Haoxuan Huang, Longyu Wang, Peilin Jia. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.Apr.2026.

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