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Trial reportTrials2026

Impact of the POPulation Medicine Multimorbidity Intervention in Xishui County (POPMIX) on suspected asthma patients: protocol for the POPMIX-Asthma cluster-randomized controlled trial.

Ke Huang, Xunliang Tong, Xingyao Tang, Qiande Lai, Yuhao Liu, Shiyu Zhang, Zhoutao Zheng, Wenjin Chen, Zhong Cao, Lei Tang and 16 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06457009 (Population Medicine Multimorbidity Intervention in Xishui on a Suspected Asthma 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.

NCT06457009 nacompletednot on this map

Population Medicine Multimorbidity Intervention in Xishui on a Suspected Asthma Population: A Cluster Randomized Controlled Trial

TypeinterventionalSponsorPeking Union Medical CollegeRan2024 to 2026Enrolled9,194ConditionsMultimorbidity, Chronic Asthma, Population MedicineArmsMulti-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

26 authors.

Ke Huang *Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, No.2, Yinghua Donglu Street, Chaoyang District, Beijing, China.
Xunliang Tong *Department of Pulmonary and Critical Care Medicine, National Center of Gerontology, Beijing Hospital, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Xingyao Tang *Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, No.2, Yinghua Donglu Street, Chaoyang District, Beijing, China.
Qiande Lai *Department of Pulmonary and Critical Care Medicine, People's Hospital of Xishui County, Zunyi, Guizhou, China.
Yuhao LiuSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijige Santiao 31, Dongcheng District, Beijing, China.
Shiyu ZhangSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhoutao ZhengSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijige Santiao 31, Dongcheng District, Beijing, China.
Wenjin ChenSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijige Santiao 31, Dongcheng District, Beijing, China.
Zhong CaoHeidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.
Lei TangGuizhou Medical University, Guiyang, Guizhou, China.
Jinghan ZhaoHeidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.
Liu HeSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijige Santiao 31, Dongcheng District, Beijing, China.
Lirui JiaoDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yingping WangCenter for Disease Control and Prevention of Xishui County, Zunyi, Guizhou, China.
Tianying ZhaoCenter for Disease Control and Prevention of Xishui County, Zunyi, Guizhou, China.
Yingchi LuoCenter for Disease Control and Prevention of Xishui County, Zunyi, Guizhou, China.
Xiangqin LyuDepartment of Pulmonary and Critical Care Medicine, People's Hospital of Xishui County, Zunyi, Guizhou, China.
Qiushi ChenThe Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA, USA.
Sebastian VollmerDepartment of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany.
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA.
Dean JamisonDepartment of Epidemiology and Biostatistics and Institute for Global Health Sciences, University of California, San Francisco, CA, USA.
Till Bärnighausen *School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijige Santiao 31, Dongcheng District, Beijing, China.
Simiao Chen *State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, China. simiao.chen@uni-heidelberg.de.ORCID http://orcid.org/0000-0003-0555-2157
Chen Wang *Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, No.2, Yinghua Donglu Street, Chaoyang District, Beijing, China. wangchen@pumc.edu.cn.
Ting Yang *Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, No.2, Yinghua Donglu Street, Chaoyang District, Beijing, China. zryyyangting@163.com.
POPMIX study investigators

Funding

China Medical Board 22469Chinese Academy of Medical Sciences Initiative for Innovative Medicine 2022-I2M-CoV19-003Chinese Academy of Medical Sciences Initiative for Innovative Medicine 2023-I2M-2-001HORIZON EUROPE Framework Programme 101086139-PoPMeD-SuSDeVMinistry of Science and Technology of the People's Republic of China 2023ZD0506000Nonprofit Central Research Institute Fund of the Chinese Academy of Medical Sciences 2022-ZHCH330-01Tencent SSVPJ202307060001the State Key Laboratory Special Fund 2060204
6 · The paper itself

Abstract

backgroundAsthma is a common chronic disease responsible for a considerable disease burden in China and around the world. Despite its burden, there is substantial unmet need for asthma care, including screening, diagnosis, treatment, and management. Symptom-based screening for asthma could support identification of undiagnosed asthma patients, as well as reference to higher-level hospitals for formal diagnoses and treatment. This study focuses on identifying suspected asthma patients and encouraging them to seek formal diagnoses and treatment. This approach aligns with the novel concept of population medicine, which aims to maximize overall population health rather than focusing on individual patients within the health system.

methodsWe are conducting a two-arm population-based stratified clustered randomized controlled trial (cRCT) to evaluate the effectiveness of a population medicine multimorbidity intervention package. 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 mountainous low-resource county in Southwestern China, covering 26 townships and more than 300,000 permanent residents. We considered each of the 26 townships in Xishui County as a cluster and stratified them into large and small townships based on population size. Townships with an above-average population were designated as "large," and those with a below-average population were designated as "small." We randomized the same number of residents in each township stratum (large and small) to undergo the European Community Respiratory Health Survey (ECRHS) for identifying suspected asthma patients. Individuals identified as suspected asthma patients were considered study participants and subsequently enrolled in the intervention or control arm. All participants in the intervention arm are followed for one year, with one telephone follow-up at month three and in-person follow-ups at months six and 12, while participants in the control arm are followed only at baseline and 12 months. Primary outcomes include the number of chronic conditions controlled, whether the participant received lung function testing, and Asthma Control Test (ACT) score. In addition, we are evaluating 42 secondary outcomes covering physiological and functional indicators such as lung function, health-related quality of life, mental health, behavioral risk factors, healthcare utilization, productivity loss, knowledge of asthma and chronic obstructive pulmonary disease (COPD), and care cascade indicators for asthma and other chronic diseases. DISCUSSION: This cRCT has been featured as an important case study in the Lancet Commission on Investing in Health report to evaluate the effectiveness of the integrated intervention package on priority conditions. The trial was designed under population medicine principles, with an aim providing holistic care and enhancing the overall health status of suspected asthma patients. The results of the trial will inform the next generation of multimorbidity management and population medicine practices among global health authorities and practitioners.

trial registrationClinicalTrials.gov Identifier: NCT06457009. Registered on June 7, 2024.

Indexed as

AsthmaMass ScreeningChinaHumansMultimorbidityPatient Education as TopicResearch DesignTime FactorsTreatment OutcomeAsthmacRCTMmultimorbidityPopulation medicineSuspected asthma patients

Identifiers

PMID41964072
PMCPMC13081620

What Socratic holds

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LicenceCC BY
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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.