Evidence mapPaperPMID 40418567Full record

SynthesisJournal of medical Internet research2025

Effectiveness of Digital Health Interventions for Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis.

Miaoqing Zhuang, Intan Idiana Hassan, Wan Muhamad Amir W Ahmad, Azidah Abdul Kadir, Xiaodong Liu, Furong Li, Yinuo Gao, Yang Guan, Shuting Song

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Miaoqing Zhuang *Department of Nursing, College of Nursing and Rehabilitation, Xi'an Jiaotong University City College, Xi 'an, China.ORCID https://orcid.org/0009-0003-3801-191X
Intan Idiana Hassan *School of Health Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu, Malaysia.ORCID https://orcid.org/0000-0001-6907-8920
Wan Muhamad Amir W AhmadSchool of Dental Sciences, Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.ORCID https://orcid.org/0000-0003-2366-3918
Azidah Abdul KadirSchool of Health Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu, Malaysia.ORCID https://orcid.org/0000-0003-1039-6304
Xiaodong LiuSchool of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0009-0003-0770-5409
Furong LiPneumology Department, Shaanxi Provincial Hospital of Traditional Chinese Medicine, Xi'an, China.ORCID https://orcid.org/0009-0003-6739-1288
Yinuo GaoDepartment of Nursing, College of Nursing and Rehabilitation, Xi'an Jiaotong University City College, Xi 'an, China.ORCID https://orcid.org/0009-0000-0625-7075
Yang GuanDepartment of Nursing, College of Nursing and Rehabilitation, Xi'an Jiaotong University City College, Xi 'an, China.ORCID https://orcid.org/0009-0004-7895-272X
Shuting SongDepartment of Nursing, College of Nursing and Rehabilitation, Xi'an Jiaotong University City College, Xi 'an, China.ORCID https://orcid.org/0009-0001-6973-872X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD), marked by dyspnea, cough, and sputum production, significantly impairs patients' quality of life and functionality. Effective management strategies, particularly those empowering patients to manage their condition, are essential to reduce this burden and health care use. Digital health interventions-such as mobile apps for symptom tracking, wearable sensors for vital sign monitoring, and web-based pulmonary rehabilitation programs-can enhance self-efficacy and promote greater patient engagement. By improving self-management skills, these interventions also help alleviate pressure on health care systems.

objectiveThis systematic review and meta-analysis assesses the clinical effectiveness of smartphone apps, wearable monitors, and web-delivered platforms in four COPD management areas: (1) quality of life (measured by the COPD Assessment Test [CAT] and St George's Respiratory Questionnaire), (2) self-efficacy (assessed by the General Self-Efficacy Scale), (3) functional capacity (evaluated via the 6-minute walk test and Modified Medical Research Council Dyspnea Scale), and (4) health care use (indicated by hospital and emergency department visits).

methodsA systematic review was conducted using predefined search terms in PubMed, Embase, Cochrane, and Web of Science up to January 26, 2025, to identify randomized trials on digital health interventions for COPD. Two reviewers independently screened studies and extracted data. Outcomes included quality of life, self-efficacy, functional status, and health care use.

resultsThis review included 17 studies with 2027 participants from 11 countries. Eleven trials involved health care professionals in digital platform use, and 12 reported adherence strategies. Digital tools for COPD primarily focused on telerehabilitation (eg, video-guided exercises) and self-management systems (eg, artificial intelligence-driven exacerbation alerts). The study participants were predominantly older adults. Meta-analysis results indicated that digital health interventions significantly improved quality of life at 3 months on the CAT (mean difference [MD] -1.65, 95% CI -3.17 to -0.14; P=.03); at 6 months on the CAT (MD -2.43, 95% CI -3.93 to -0.94; P=.001) and St George's Respiratory Questionnaire (MD 3.25, 95% CI 0.69-5.81; P=.01); at 12 months on the CAT (MD -2.53, 95% CI -3.91 to -1.16; P<.001), EQ-5D (MD 0.04, 95% CI 0.01-0.07; P=.02), and EQ-5D visual analogue scale (MD 5.88, 95% CI 0.38-11.37; P=.04); the General Self-Efficacy Scale at 3 months (MD 1.65, 95% CI 0.62-2.69; P=.002) and 6 months (MD 1.94, 95% CI 0.83-3.05; P<.001); and the Modified Medical Research Council Dyspnea Scale at more than 3 months (MD -0.23, 95% CI -0.36 to -0.11; P=.003). However, no significant differences were observed in the 6-minute walk test, emergency department admissions, hospital admissions, emergency department admissions for COPD, or hospital admissions for COPD.

conclusionsOur findings suggest that digital health interventions may benefit COPD patients, but their clinical effectiveness remains uncertain. Further robust studies are needed, particularly those involving larger numbers of older adults with COPD.

trial registrationPROSPERO CRD420251032053; https://www.crd.york.ac.uk/PROSPERO/view/CRD420251032053.

Indexed as

Pulmonary Disease, Chronic ObstructiveDigital HealthHumansMobile ApplicationsQuality of LifeSelf EfficacyTelemedicinechronic respiratory diseaseevidence synthesismHealthmobile healthremote patient monitoringself-managementtelemedicine

Identifiers

PMID40418567
PMCPMC12149779

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.