scholarly journals What fragile factors hinder the pace of China’s alleviation efforts of poverty-stricken population?

2020 ◽  
Author(s):  
Ye Li ◽  
Xinye Qi ◽  
Linghan Shan ◽  
Xiao Tan ◽  
Jiahui Wang ◽  
...  

Abstract Objective: China has made remarkable achievements in poverty alleviation. However, with the change in economic development and age structure, the population stricken by poverty due to medical expenses and disability accounted for 42.3% and 14.4% of the total poverty-stricken population, respectively. The efforts to reduce the catastrophic health expenditure among Chinese residents are not optimistic. Poverty alleviation efforts might only focus on the people who are currently poor but ignores the increase in poverty that may occur. Accordingly, it is crucial to accurately pinpoint the characteristics of people who are about to become poor due to illness. Therefore, we prospectively analyzed the incidence of impoverishment by medical expense at the provincial, family, and different medical insurance scheme levels to identify the precise groups that are vulnerable to medical-related poverty.Method: This study obtained the data from the Chinese government’s Fifth National Health Service Survey for 2013. This survey is conducted every five years and has the most nationally representative sample obtained through a multi-stage, stratified, and random sampling method. To clean the data, we excluded incomplete records and those with logic errors, leaving 93,570 households (273,626 people) for the final sample. The method recommended by World Health Organization (WHO) was adopted to calculate impoverishment by medical expense, and logistic regression was adopted to evaluate its determinants.Results: The poverty rates in western region had much higher poverty rates than the other two regions, and the eastern region had the lowest. The rate of medical impoverishment (MI) was higher in the western region (7.2%) than that in the central (6.5%) and eastern (5.1%) regions. Compared with people enrolled in other medical insurance schemes, those enrolled in the Medical Insurance for Urban Employees Scheme (UE-BMI) and a mixture of schemes had better capacity to deal with the burden brought by diseases. The New Cooperative Medical Scheme (NCMS)was associated with the highest rate (9.1%) of MI cases. A comparison of the MI groups revealed that the top three diseases associated with MI were malignant tumor, congenital heart disease, and mental disease. Households with members suffering from NCDs, and with members who were inpatients were all more likely to suffer from MI. NCMS-enrolled households had greater exposure to the risk of MI, at 1.84 times that of UE-BM-enrolled households. Poorer households were 15.8 times more likely to suffer from MI than richer households.Conclusion: The joint roles of economic development, health service utilization, and welfare policies result in medical impoverishment for different regions. Poverty and health service utilization are indicative of households with high incidence of medical impoverishment. Chronic diseases lead to medical impoverishment. The inequity existing in different medical insurance schemes leads to different degrees of risk of MI. A combined strategy to precise target multiple vulnerabilities of poor population should be more effective.

Author(s):  
Dan Li ◽  
Shaoguo Zhai ◽  
Jian Zhang ◽  
Jinjuan Yang ◽  
Xiao Wang

Background: Eliminating inequality in health service utilization is an explicit goal of China’s health system. Rural migrant workers with New Rural Cooperative Medical Insurance (NCMS) still face the dilemma of limited health service; however, there is a lack of analysis or measurement on the income-related inequality of health service utilization. Method: The nationally representative data of the China Labor-Force Dynamic Survey in 2016 were used for analysis. Multilevel regressions were used to obtain robust estimates and to account for various covariates associated with health service utilization of rural migrant workers with NCMS. The concentration index and its decomposition method were applied to quantify the income-related inequality of health service utilization of rural migrant workers. Result: The multilevel model analysis indicated that influencing factors of health service utilization were diversified, including gender, city service quality index, type of industry, the per capita annual income, marital status, health self-assessment, the community health index and the number of friends. The concentration indices of the total cost of inpatient and OOP cost of inpatient were 0.102 (95%CI: 0.031, 0.149), and the CI of OOP cost of inpatient was 0.094 (95%CI: 0.007, 0.119), respectively. The horizontal inequality indices of the total cost of inpatient and OOP cost of inpatient were 0.051 and 0.009, respectively. Conclusion: Our study presented a unique opportunity to examine the potential influence factors of health service utilization of rural migrant workers with NCMS, and highlighted that unequal health service utilization is evident among rural migrant workers with NCMS. This study provides important corroborative evidence to take full account of the contribution of each determinant to the inequality and health service needs among rural migrant workers with NCMS, in order to improve the basic medical insurance and social security systems—particularly for some marginal groups in China.


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