Evidence map›Paper›PMID 41706509›Full record

Trial reportJMIR research protocols2026

Impact of the Population Medicine Multimorbidity Intervention in Xishui County (POPMIX) on People at High Risk for Chronic Obstructive Pulmonary Disease: Protocol for the POPMIX-COPD Cluster Randomized Controlled Trial.

Chen Wang, Yuhao Liu, Ke Huang, Zhoutao Zheng, Shiyu Zhang, Wenjin Chen, Xingyao Tang, Zhong Cao, Xunliang Tong, Lei Tang and 17 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06456996 (Population Medicine Multimorbidity Interventions in Xishui on a High-Risk COPD Population), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

NCT06456996 nacompletednot on this map

Population Medicine Multimorbidity Interventions in Xishui on a High-Risk COPD Population: A Cluster Randomized Controlled Trial

TypeinterventionalSponsorPeking Union Medical CollegeRan2024 to 2026Enrolled9,319ConditionsMultimorbidity, Population Medicine, Chronic Obstructive Pulmonary DiseaseArmsMulti-component intervention package
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

Chen Wang *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0001-7857-5435
Yuhao Liu *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0009-0009-5177-5969
Ke Huang *Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-8933-387X
Zhoutao ZhengSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0009-0008-0872-6523
Shiyu ZhangSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-2988-5781
Wenjin ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0009-0003-8506-2701
Xingyao TangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.ORCID https://orcid.org/0009-0003-6947-5661
Zhong CaoHeidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.ORCID https://orcid.org/0009-0002-5370-2033
Xunliang TongDepartment of Pulmonary and Crtical Care Medicine, Beijing Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-5569-1193
Lei TangGuizhou Medical University, Guiyang, China.ORCID https://orcid.org/0000-0003-1771-3878
Jinghan ZhaoHeidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.ORCID https://orcid.org/0009-0003-4553-7274
Liu HeSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-4930-3673
Lirui JiaoDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0002-2505-7447
Yingping WangCenter for Disease Control and Prevention of Xishui County, Zunyi, China.ORCID https://orcid.org/0009-0001-3032-9021
Tianying ZhaoCenter for Disease Control and Prevention of Xishui County, Zunyi, China.ORCID https://orcid.org/0009-0002-2848-7247
Yingchi LuoCenter for Disease Control and Prevention of Xishui County, Zunyi, China.ORCID https://orcid.org/0009-0008-3515-0187
Qiande LaiDepartment of Pulmonary and Critical Care Medicine, People's Hospital of Xishui County, Zunyi, China.ORCID https://orcid.org/0009-0002-0437-3704
Xiangqin LyuDepartment of Pulmonary and Critical Care Medicine, People's Hospital of Xishui County, Zunyi, China.ORCID https://orcid.org/0009-0001-5690-2615
Qiushi ChenThe Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA, United States.ORCID https://orcid.org/0000-0003-4031-2669
Aditi BunkerHeidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.ORCID https://orcid.org/0000-0001-5906-156X
Sebastian VollmerDepartment of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0002-7863-0462
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0002-8878-5505
Dean JamisonDepartment of Epidemiology and Biostatistics and Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-4387-6064
Till BärnighausenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-4182-4212
Ting YangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-7027-5179
Simiao ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-0555-2157
POPMIX GroupSee Acknowledgments, .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco-related noncommunicable diseases (NCDs) present a major public health challenge in China, requiring population-level management. Chronic obstructive pulmonary disease (COPD) is the most common and prevalent chronic respiratory disease associated with tobacco use. In addition, COPD shares risk factors with other NCDs that frequently co-occur, leading to multimorbidity. This study focuses on the early detection and integrated management of COPD and related multimorbidity among high-risk populations. Population medicine, an emerging and evolving concept aimed at maximizing population health and well-being, provides a promising framework for shifting interventions against COPD from an individual patient focus to a population-level approach.

objectiveThis study aims to evaluate the effectiveness of a population medicine-based multimorbidity intervention package among individuals at high risk for COPD.

methodsWe are conducting a 2-arm, population-based, stratified cluster randomized controlled trial (cRCT). The intervention integrates community screening, chronic disease management, patient education, digital follow-up, and team-based care. The trial is being implemented in Xishui County, Guizhou Province, a low-resource county in Southwestern China. Each of the 26 townships in Xishui County was considered a cluster and stratified into large and small townships based on population size. An equal number of residents from each township stratum (large and small) were randomized to undergo the COPD Screening Questionnaire. Individuals identified as being at high risk for COPD were considered study participants and were subsequently enrolled in either the intervention or control arm. The target sample size was approximately 2850 individuals.

resultsData collection for the POPMIX-COPD trial began in June 2024. Baseline, 3-month, and 6-month assessments have been completed, and 12-month follow-up assessments are planned to be completed in March 2026. All participants in the intervention arm are being followed for 1 year, with 1 telephone follow-up at month 3 and in-person follow-ups at months 6 and 12. Primary outcomes for each participant include the number of chronic conditions controlled, receipt of lung function testing, and forced expiratory volume in 1 second. In addition, secondary outcomes were health-related quality of life, mental and behavioral health status, health care utilization, knowledge of COPD and asthma, and care cascade indicators for chronic conditions.

conclusionsThis cRCT is the first multimorbidity intervention study designed within the population medicine framework to target populations at high risk for COPD. It was featured as a case study in the report of the Lancet Commission on Investing in Health. The results of the trial are expected to inform the next generation of multimorbidity management and population medicine practices among global health authorities and practitioners.

trial registrationClinicalTrials.gov NCT06456996; https://clinicaltrials.gov/ct2/show/NCT06456996. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/85597.

Indexed as

MultimorbidityPulmonary Disease, Chronic ObstructiveChinaHumansRisk FactorscRCThigh-COPD-risk populationmultimorbiditypopulation medicinetobacco-related NCDs

Identifiers

PMID41706509
PMCPMC12961387

What Socratic holds

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Registered trials

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.