Impact of the POPulation Medicine Multimorbidity Intervention in Xishui County (POPMIX) on people at high risk for COPD who smoke: protocol for the POPMIX-Smoking cluster randomised controlled trial

INTRODUCTION: Tobacco use is a major contributor to the burden of chronic obstructive pulmonary disease (COPD) and other non-communicable diseases in China. People at high risk for COPD who smoke, particularly those with pre-existing chronic conditions, often remain underserved by conventional smoking cessation programmes. Population medicine offers a promising framework for proactively identifying high-burden diseases, managing multimorbidity and prioritising interventions for vulnerable populations. METHODS AND ANALYSIS: This protocol describes a stratified, two-arm cluster randomised controlled trial (Population Medicine Multimorbidity Intervention in Xishui County-Smoking) being conducted in Xishui County, a rural area of Guizhou Province, China. A total of 26 townships were stratified by population size and randomly assigned in a 1:1 ratio to receive either a multicomponent intervention or usual care. Eligible participants were individuals aged 35 years or older who smoked and were at high risk for COPD as identified by the COPD Screening Questionnaire. The intervention package integrates multiple components, including a digital smoking cessation programme, digital mental health support, community-based spirometry, tailored chronic disease management, health education and a performance-linked 'pay-for-population' scheme that aligns healthcare worker reimbursement with population health outcomes. Primary outcomes are smoking amount and nicotine dependence and secondary outcomes include COPD-related health outcomes, hypertension, diabetes, health risk behaviours, quality of life, healthcare utilisation and productivity loss. Follow-up occurs at 3, 6 and 12 months. ETHICS AND DISSEMINATION: Ethical approval has been granted by the Peking Union Medical College Ethics Committee (CAMS&PUMC-IEC-2024-042). Informed consent was obtained from all participants prior to enrolment. Results will be shared through peer-reviewed publication and (inter)national conference presentations. TRIAL REGISTRATION NUMBER: NCT06458205.

Authors

Institutions

Publication Details

Journal
BMJ Open
Published
2026-05-01
DOI
https://doi.org/10.1136/bmjopen-2025-112179
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of the POPulation Medicine Multimorbidity Intervention in Xishui County (POPMIX) on people at high risk for COPD who smoke: protocol for the POPMIX-Smoking cluster randomised controlled trial

Aditi Bunker, X. R. Lyu, Y Wang, Pascal Geldsetzer et al.
BMJ Open
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Impact of the POPulation Medicine Multimorbidity Intervention in Xishui County (POPMIX) on people at high risk for COPD who smoke: protocol for the POPMIX-Smoking cluster randomised controlled trial

Aditi Bunker, X. R. Lyu, Y Wang, Pascal Geldsetzer, Lirui Jiao, Jinghan Zhao, Ying Liu, Wenjin Chen, Yuxing Luo, Qiande Lai, C H U N Q I Wang, T Yang, Sebastian Vollmer, Xingyao Tang, Tianying Zhao, Dean Jamison, Ke Huang, Zhong Cao, Simiao Chen, Shiyu Zhang, Ruopeng Dou, Liu He, Lei Tang, Xunliang Tong, Zhoutao Zheng, Till Bärnighausen, Qiushi Chen
article en

Abstract

INTRODUCTION: Tobacco use is a major contributor to the burden of chronic obstructive pulmonary disease (COPD) and other non-communicable diseases in China. People at high risk for COPD who smoke, particularly those with pre-existing chronic conditions, often remain underserved by conventional smoking cessation programmes. Population medicine offers a promising framework for proactively identifying high-burden diseases, managing multimorbidity and prioritising interventions for vulnerable populations. METHODS AND ANALYSIS: This protocol describes a stratified, two-arm cluster randomised controlled trial (Population Medicine Multimorbidity Intervention in Xishui County-Smoking) being conducted in Xishui County, a rural area of Guizhou Province, China. A total of 26 townships were stratified by population size and randomly assigned in a 1:1 ratio to receive either a multicomponent intervention or usual care. Eligible participants were individuals aged 35 years or older who smoked and were at high risk for COPD as identified by the COPD Screening Questionnaire. The intervention package integrates multiple components, including a digital smoking cessation programme, digital mental health support, community-based spirometry, tailored chronic disease management, health education and a performance-linked 'pay-for-population' scheme that aligns healthcare worker reimbursement with population health outcomes. Primary outcomes are smoking amount and nicotine dependence and secondary outcomes include COPD-related health outcomes, hypertension, diabetes, health risk behaviours, quality of life, healthcare utilisation and productivity loss. Follow-up occurs at 3, 6 and 12 months. ETHICS AND DISSEMINATION: Ethical approval has been granted by the Peking Union Medical College Ethics Committee (CAMS&PUMC-IEC-2024-042). Informed consent was obtained from all participants prior to enrolment. Results will be shared through peer-reviewed publication and (inter)national conference presentations. TRIAL REGISTRATION NUMBER: NCT06458205.

BMJ OpenVol. 16(5)
University of North Carolina at Chapel Hill (US), Pennsylvania State University (US), Harvard University (US), Guiyang Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Heidelberg University (DE), China-Japan Friendship Hospital (CN), University Hospital Heidelberg (DE), Xian Center for Disease Control and Prevention (CN), Stanford Health Care (US), First People’s Hospital of Zunyi (CN), Chan Zuckerberg Initiative (United States) (US), Global Brain Health Institute (US), Harvard Global Health Institute (US), University of Göttingen (DE)
China Medical Board
Good health and well-being
Openalex Percentile: Top 9%
Chronic Obstructive Pulmonary Disease (COPD) Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.