Answers are grounded in this paper and cite their sources.
This review highlights tools and indicators for chronic disease and multimorbidity measurement, suggesting improvements in epidemiology and treatment.
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.
No takes yet. Share an insight, caveat, or question.
Zhao et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: