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, Jinghan Zhao, Liu He, Lirui Jiao, Yingping Wang, Tianying Zhao, Yingchi Luo, Qiande Lai, Xiangqin Lyu, Qiushi Chen, Aditi Bunker, Sebastian Vollmer

TL;DR
This study tests a population-level approach to managing COPD and related health issues in high-risk individuals in China.
Contribution
This is the first multimorbidity intervention study using the population medicine framework targeting COPD risk populations.
Findings
The trial is being conducted in Xishui County with 26 townships randomized.
Primary outcomes include chronic condition control and lung function testing rates.
Results may influence global multimorbidity management practices.
Abstract
Tobacco-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. This study aims to evaluate the effectiveness of a population medicine–based multimorbidity intervention package among individuals at high risk…
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Taxonomy
TopicsChronic Disease Management Strategies · Chronic Obstructive Pulmonary Disease (COPD) Research · Cardiovascular Health and Risk Factors
