1. Changes in patterns of multimorbidity and associated with medical costs among Chinese middle-aged and older adults from 2013 to 2023: an analysis of repeated cross-sectional surveys in Xiangyang, China
- Author
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Changyu Ju, Hongjia Liu, Yongxiang Gong, Meng Guo, Yingying Ge, Yuheng Liu, Rui Luo, Meng Yang, Xiuying Li, Yangwenhao Liu, Xiangbin Li, Tiemei He, Xiaodong Liu, Chunrong Huang, Yihua Xu, and Juming Liu
- Subjects
multimorbidity patterrn ,middle-aged and older adults ,medical cost ,latent class analysis (LCA) ,China ,Public aspects of medicine ,RA1-1270 - Abstract
BackgroundMultimorbidity has become a major public health problem among Chinese middle-aged and older adults, and the most costly to the health care system. However, most previous population-based studies of multimorbidity have focused on a limited number of chronic diseases, and diagnosis was based on participants’ self-report, which may oversimplify the problem. At the same time, there were few reports on the relationship between multimorbidity patterns and health care costs. This study analyzed the multimorbidity patterns and changes among middle-aged and older people in China over the past decade, and their association with medical costs, based on representative hospital electronic medical record data.MethodsTwo cross-sectional surveys based on representative hospital data were used to obtain adults aged 45 years and older in Xiangyang in 2013 (n = 20,218) and 2023 (n = 63,517). Latent Class Analysis was used to analyze changes in the patterns of multimorbidity, gray correlation analysis and ordered logistics model were used to assess the association of multimorbidity patterns with medical expenses. The diagnosis and classification of chronic diseases were based on the International Classification of Diseases, Tenth Revision codes (ICD-10).ResultsThe detection rate of chronic disease multimorbidity has increased (70.74 vs. 76.63%, p
- Published
- 2024
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