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Changes in inpatients' distribution and benefits under institution level–based quota payment for specific diseases in rural China: An interrupted time‐series analysis
Author(s) -
Li HaoMiao,
Chen YingChun,
Gao HongXia,
Zhang Yan,
Su Dai,
Chang JingJing,
Jiang Di,
Hu XiaoMei,
Lei ShiHan
Publication year - 2018
Publication title -
the international journal of health planning and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 41
eISSN - 1099-1751
pISSN - 0749-6753
DOI - 10.1002/hpm.2660
Subject(s) - payment , china , per capita , business , distribution (mathematics) , sustainability , mode (computer interface) , rural area , environmental health , actuarial science , socioeconomics , medicine , finance , economics , geography , mathematical analysis , population , ecology , mathematics , archaeology , biology , computer science , operating system , pathology
Summary The distribution of patients is increasingly disordered in China, which leads to the waste of medical resources, increase in inpatients' economic burden, and decrease in benefits from health insurance. Institution level–based quota payment for specific diseases represents a typical payment‐system reform mode in rural China that rationalizes the distribution of rural inpatients. The aim of this study is to evaluate the effectiveness of this mode by estimating rural inpatients' distribution among hospitals at different levels, per capita cost of hospitalization, and actual compensation ratio and then to provide suggestions to advance this mode. Interrupted time‐series analysis was applied to evaluate the effect of the reform mode in the study, and Weiyuan County, Gansu Province, was selected as our sample. Institution level–based quota payment for specific diseases in Weiyuan County has rationalized the distribution of rural inpatients and improved their benefit levels. Further research should be conducted to evaluate the appropriateness of medical services, the health outcomes of rural inpatients, and the sustainability and replicability of the policy.