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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 Who Experience Mental Health Symptoms: Protocol for the POPMIX-MH Cluster Randomized Controlled Trial.

Yuhao Liu, Wenjin Chen, Shiyu Zhang, Yingping Wang, Zhoutao Zheng, Ke Huang, 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 NCT06458218 (Population Medicine Multimorbidity Interventions in Xishui on a High-Risk COPD Population With Mental Health Symptoms), 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.

NCT06458218 nacompletednot on this map

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

TypeinterventionalSponsorPeking Union Medical CollegeRan2024 to 2026Enrolled3,571ConditionsMultimorbidity, Mental Health Issue, Multi-component InterventionsArmsMulti-component Interventions
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.

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
Wenjin Chen *School 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
Shiyu Zhang *School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-2988-5781
Yingping Wang *Center for Disease Control and Prevention of Xishui County, Zunyi, China.ORCID https://orcid.org/0009-0001-3032-9021
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
Ke HuangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-8933-387X
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 Critical 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
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, 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
Chen WangSchool 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
POPMIX Groupsee Acknowledgments, .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) and mental health conditions represent intersecting public health challenges, especially in resource-limited rural China. Existing care models often neglect the psychosocial needs of populations at high risk for COPD, resulting in limited effectiveness of prevention and management strategies. This study evaluates an integrated intervention designed to improve both mental and physical health outcomes among high-COPD-risk individuals with mental health symptoms, using a population medicine framework.

objectiveThis study aims to evaluate the effect of an integrated, population medicine-based multimorbidity intervention package among high-COPD-risk individuals with mental health symptoms in Xishui County, Guizhou Province, China.

methodsWe are conducting a 12-month, 2-arm cluster randomized controlled trial across 26 townships in Xishui County, Guizhou, China. A total of 44,000 residents aged ≥35 years were screened using the Chronic Obstructive Pulmonary Disease Screening Questionnaire, identifying 10,000 individuals at high risk of COPD. Among them, 3807 individuals with Warwick-Edinburgh Mental Well-Being Scale scores below 45 were enrolled as participants. Intervention components include digital cognitive behavioral therapy-based mental health support, community screening, chronic disease management, patient education, digital follow-up, and team-based care. The primary outcomes are depressive symptoms (9-item Patient Health Questionnaire), anxiety symptoms (7-item General Anxiety Disorder), and mental well-being (Warwick-Edinburgh Mental Well-Being Scale). Secondary outcomes are control of chronic diseases, physiological and functional indicators such as lung function, health-related quality of life, mental and behavioral health, health care utilization, knowledge of COPD and asthma, productivity loss, and care cascade indicators for chronic conditions.

resultsData collection for the POPMIX-MH trial began in June 2024. Baseline, 3-month, and 6-month assessments have been completed, and the 12-month follow-up assessments are planned to be completed in March 2026.

conclusionsThis study is the first to integrate psychological support, chronic disease management, and community-based screening into a single scalable intervention package targeting multimorbidity in China. It tests the feasibility of applying population medicine principles, emphasizing integrated, preventive, and population-level care, within primary care systems in low-resource settings. By targeting both mental and physical health, it redefines chronic care beyond traditional organ-specific approaches.

trial registrationClinicalTrials.gov NCT06458218; https://clinicaltrials.gov/ct2/show/NCT06458218. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/85853.

Indexed as

MultimorbidityPulmonary Disease, Chronic ObstructiveAdultChinaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesanxietyChinacluster randomized trialCOPDdepressiondigital healthmultimorbiditypopulation medicine

Identifiers

PMID41791105
PMCPMC13005060

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.