[Progress in methods for chronic disease and multimorbidity measurement in epidemiological studies].
With the accelerated progress of population aging and the shift in the disease spectrum, the prevention and management of chronic diseases and multimorbidity are facing great challenges. Multimorbidity measurement is a process that assesses and quantifies the complexity and severity of multiple disease states in a population, which is of great significance for understanding the epidemiology and disease burden of multimorbidity, as well as for optimizing medical services and policy. This article reviews existing multimorbidity measurement indicators, tools, and applications from two dimensions, static and dynamic attributes, aiming to improve the accuracy and comprehensiveness of multimorbidity epidemiology, diagnosis, and treatment.
Authors
- Yan‐Guo Zhou (ORCID: https://orcid.org/0000-0002-0615-5455)
- Xiaolu Xu (ORCID: https://orcid.org/0009-0006-5887-2620)
- Yong Zhao (ORCID: https://orcid.org/0009-0007-5848-1686)
Institutions
- Zhejiang Lab (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-08-10
- DOI
- https://doi.org/10.3760/cma.j.cn112338-20241118-00731
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00