Progress in research on redistribution methods for garbage codes in causes of death data.
10.3760/cma.j.cn112338-20211025-00818
- VernacularTitle:死因数据中垃圾编码再分配方法研究进展
- Author:
Li Qun LIU
1
;
Xia WAN
1
Author Information
1. Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
- Publication Type:Journal Article
- MeSH:
Causality;
Cause of Death;
Data Collection;
Humans;
Models, Statistical;
Public Policy
- From:
Chinese Journal of Epidemiology
2022;43(5):784-788
- CountryChina
- Language:Chinese
-
Abstract:
The existence of garbage codes in death cause surveillance data sets could influence the accuracy of the death cause statistics, and subsequently affect the precision and effectiveness of public health policy making. International and domestic researchers have studied the characteristics of garbage codes in various death cause data sets from different countries or regions in the world. They proposed several approaches for redistributing garbage codes, such as expert consultancy, fixed proportional reassignment, using the information about death cause chain, building statistical models, and so on. This paper summarizes and compares the principles, applications and limitation of application scenarios of currently common methods for garbage code redistribution in order to provide some references for improving the accuracy and usefulness of the death cause data in China.
