Yongxin Xie1, Qin Li1, Hui Qiao1, Ting Zhao1, Ya'nan Chen1, Biao Yang1. 1. Department of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, China.
Abstract
BACKGROUND: The ultimate objective of rural health reform and development is to establish a mature healthcare service system that adapts to the socialist market economy and the developmental level of the Chinese economy and meets the health demands of the people. Reform of the payment system is one of the key elements. This article explores the effect of the system and the causes of benefit inequity, provides an objective evaluation of policy implementation and offers data support for policy adjustment. METHODS: A two-stage stratified random sampling data collection method comprising a survey in 2009 (the sample size was 3832 families) and a follow-up survey in 2015 (the sample size was 3992 families) was used. Qualitative data are presented as rates or ratios and the χ2 test was used for descriptive statistics. Quantitative data were analysed using a t test. A generalized linear model (GLM) with gamma distribution of the log connection function was adopted to analyse the factors of the compensation benefit inequity. The degree of the compensation benefit inequity contribution was analysed using the concentration index (CI) decomposition method and the Oaxaca decomposition method. RESULTS: Reimbursement refers to the reimbursement expense received by inpatients from the New Cooperative Medical System (NCMS). In the GLM, there were some positive factors for reimbursement in the NCMS, including economic level, level of health facility and deductibles. The CI decomposition analysis results show that the main factors that increased the compensation benefit inequity were economic levels and deductibles over the past 2 y. However, inpatient days (2009) and the actual reimbursement ratio (2015) decreased the inequity. The Oaxaca decomposition analysis results suggest that changes in compensation benefit inequity between 2009 and 2015 were more attributable to changes in economic status and variables related to policy compensation than to demographic variables. Conclusions: This study showed that inequity decreased from 2009 to 2015, which could be the result of adjustment of the compensation policy. However, we should remain vigilant lest the gap between the rich and the poor leads to an increase in inequity.
BACKGROUND: The ultimate objective of rural health reform and development is to establish a mature healthcare service system that adapts to the socialist market economy and the developmental level of the Chinese economy and meets the health demands of the people. Reform of the payment system is one of the key elements. This article explores the effect of the system and the causes of benefit inequity, provides an objective evaluation of policy implementation and offers data support for policy adjustment. METHODS: A two-stage stratified random sampling data collection method comprising a survey in 2009 (the sample size was 3832 families) and a follow-up survey in 2015 (the sample size was 3992 families) was used. Qualitative data are presented as rates or ratios and the χ2 test was used for descriptive statistics. Quantitative data were analysed using a t test. A generalized linear model (GLM) with gamma distribution of the log connection function was adopted to analyse the factors of the compensation benefit inequity. The degree of the compensation benefit inequity contribution was analysed using the concentration index (CI) decomposition method and the Oaxaca decomposition method. RESULTS: Reimbursement refers to the reimbursement expense received by inpatients from the New Cooperative Medical System (NCMS). In the GLM, there were some positive factors for reimbursement in the NCMS, including economic level, level of health facility and deductibles. The CI decomposition analysis results show that the main factors that increased the compensation benefit inequity were economic levels and deductibles over the past 2 y. However, inpatient days (2009) and the actual reimbursement ratio (2015) decreased the inequity. The Oaxaca decomposition analysis results suggest that changes in compensation benefit inequity between 2009 and 2015 were more attributable to changes in economic status and variables related to policy compensation than to demographic variables. Conclusions: This study showed that inequity decreased from 2009 to 2015, which could be the result of adjustment of the compensation policy. However, we should remain vigilant lest the gap between the rich and the poor leads to an increase in inequity.
Authors: M Makinen; H Waters; M Rauch; N Almagambetova; R Bitran; L Gilson; D McIntyre; S Pannarunothai; A L Prieto; G Ubilla; S Ram Journal: Bull World Health Organ Date: 2000 Impact factor: 9.408