Evidence map›Paper›PMID 41939758›Full record

ArticleFrontiers in medicine2026

Effectiveness of health ecology model-based pulmonary rehabilitation for acute exacerbation of chronic obstructive pulmonary disease: a preliminary study.

Ying Xu, Guiying Gan, Fei Ding, Hong Wu, Huamei Zheng

Abstract read
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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ying Xu *Department of Respiratory and Critical Care Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Guiying Gan *Department of Respiratory and Critical Care Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Fei DingDepartment of Respiratory and Critical Care Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Hong WuDepartment of Respiratory and Critical Care Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Huamei ZhengDepartment of Respiratory and Critical Care Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) significantly impairs patients' quality of life and survival. While pulmonary rehabilitation (PR) is well-established for stable COPD, evidence for its effectiveness during and after hospitalization for AECOPD remains limited. This study aimed to evaluate the effectiveness of a health ecology model (HEM)-based multidimensional PR intervention compared to conventional care in patients with AECOPD. Methods: This prospective randomized controlled trial enrolled 46 AECOPD patients who, after individual matching, were randomly allocated to either an experimental group or a control group. The experimental group received conventional care supplemented by an HEM-based intervention comprising physiological (assisted sputum removal, progressive breathing exercises, physical training, home-based PR guidance), psychological (peer and caregiver support), and environmental (temperature and humidity regulation) components. The control group received conventional care only, including health education, oxygen therapy, and breathing training during hospitalization. The intervention period spanned from the second day after admission to discharge, with FEV1% reassessed at 8 weeks post-discharge. Outcomes included predicted forced expiratory volume in one second (FEV1%), 6-min walk test (6MWT), modified Medical Research Council dyspnea scale (mMRC), and COPD Assessment Test (CAT). Between-group and within-group differences were analyzed using Student's t-test, with statistical significance set at Results: The experimental group demonstrated significantly greater improvements than the control group in mMRC scores (mean reduction 1.48 vs. 0.87 points, Conclusion: The HEM-based multidimensional PR intervention produced clinically meaningful and statistically significant improvements in lung function and dyspnea in patients hospitalized with AECOPD. These findings support integrating multi-level interventions-including physiological, psychological, and environmental components-into standard care to optimize outcomes in domains that show limited response to conventional rehabilitation alone.

Indexed as

comprehensive interventioneffectiveness assessmenthealth ecologyhealth educationpulmonary rehabilitation

Identifiers

PMID41939758
PMCPMC13044153

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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 OpenQuestion graph.