Did the Integrated Urban and Rural Resident Basic Medical Insurance Improve Benefit Equity in China?

OBJECTIVES: The reform of merging 2 major health insurance schemes into Urban and Rural Resident Basic Medical Insurance (URRBMI) is recognized as a vital step to safeguard equal healthcare and benefit to each enrollee in China. Against this backdrop, this article aims to evaluate the impact of URRBMI integration on benefit and its contribution to benefit equity. METHODS: The data of this study were derived from the China Health and Retirement Longitudinal Study 2011 and 2015. A total of 11 383 individuals were included in the final sample. Coarsened exact matching with difference-in-difference approach was firstly adopted to investigate the treatment effects of URRBMI on benefits. Next, the decomposition of concentration index (CI) was conducted to explore the contribution of URRBMI to benefit equity. RESULTS: The coarsened exact matching with difference-in-difference results revealed that the consolidation of URRBMI has significantly improved outpatient benefit. The decomposition results showed that the contribution rates of URRBMI scheme to outpatient benefit rate (CI -0.0114), benefit probability (CI 0.0673), compensation fee (CI 0.0076), and reimbursement ratio (CI 0.0483) were 11.26%, -3.38%, -7.67%, and -0.81%, suggesting that this reform makes contribution to the propoor inequity in the outpatient benefit rate and relieves the prorich inequity in outpatient benefit probability and the degree of benefits. CONCLUSIONS: The findings of this study provide novel evidence of enhanced benefits and benefit equity for outpatient care with the integration of URRBMI. Further efforts should be made to the expansion of URRBMI coverage and the elimination of income disparities that affecting benefit equity.

Does social capital buffer or exacerbate mental health inequality? Evidence from the China Family Panel Study (CFPS).

BACKGROUND: Health inequality, including physical and mental health inequality, is an important issue. What role social capital plays in mental health inequality is still ambiguous, especially in developing countries. The aim of this study is to explore the relationship between social capital and mental health inequality in China. METHOD: Both family-level and community-/village-level social capitals are included in our analysis. Data is mainly extracted from the China Family Panel Studies in 2018, and lagged term of social capital in CFPS 2016 was used to link with other variables in 2018. Depressive symptoms and subjective well-being are set as indicators of mental health. A series of OLS regression models were conducted to estimate the effects of social capital on mental health and mental health inequality. RESULTS: Higher levels of social capital and income are related to a lower level of depressive symptoms and a higher level of subjective well-being. The positive coefficient of interaction term of family-level social capital and income level in the urban area indicates that the inhibiting effect of social capital on depressive symptoms is pro-poor. The negative coefficient of interaction term of village-level social capital and income level in the rural area suggests that the promoting effect of social capital on subjective well-being is pro-poor, too. CONCLUSION: The results show that severe mental health inequality exists in China; family-level social capital can buffer depressive symptom inequality, and village-level social capital can buffer SWB inequality. Although the amount of social capital of the poor is less than the rich, the poor can better use social capital to improve their mental health. Our study advocates enhancing social participation and communication for the poor to reduce mental health inequality.

Whether high government subsidies reduce the healthcare provision of township healthcare centers in rural China.

BACKGROUND: China's government launched a large-scale healthcare reform from 2009. One of the main targets of this round reform was to improve the primary health care system. Major reforms for primary healthcare institutions include increasing government investment. However, there are insufficient empirical studies based on large sample to catch long-term effect of increased government subsidy and lack of sufficient incentives on township healthcare centers (THCs), therefore, this study aims to provide additional empirical evidence on the concern by conducting an empirical analysis of THCs in Shaanxi province in China. METHODS: We collected nine years (2009 to 2017) data of THCs from the Health Finance Annual Report System (HFARS) that was acquired from the Health Commission of Shaanxi Province. We applied two-way fixed effect model and continue difference-in-difference (DID) model to estimate the effect of percentage of government subsidy on medical provision. RESULTS: A clear jump of the average percentage of government subsidy to total revenue of THCs can be found in Shaanxi province in 2011, and the average percentage has been more than 60% after 2011. Continue DID models indicate every 1% percentage of government subsidy to total revenue increase after 2011 resulted in a decrease of 1.1 to 3.5% in THCs healthcare provision (1.9% in medical revenue, 1.2% in outpatient visit, 3.5% in total occupy beds of inpatient, 1.1% in surgery revenue, 2.1% in sickbed utilization rate). The results show that the THCs with high government subsidy reduce the number of medical services after 2011. CONCLUSIONS: We think that it is no doubt that the government should take more responsibility for the financing of primary healthcare institutions, the problem is when government plays a central role in the financing and delivery of primary health care services, more effective incentives should be developed.

Rural and urban differences in patient experience in China: a coarsened exact matching study from the perspective of residents.

BACKGROUND: Patient experience is a key measure widely used to evaluate quality of healthcare, yet there is little discussion about it in China using national survey data. This study aimed to explore rural and urban differences in patient experience in China. METHODS: Data regarding this study were drawn from Chinese General Social Survey (CGSS) 2015, with a sample size of 9604. Patient experience was measured by the evaluation on healthcare services. Coarsened exact matching (CEM) method was used to balance covariates between the rural and urban respondents. Three thousand three hundred seventy-two participants finally comprised the matched cohort, including 1592 rural residents and 1780 urban residents. Rural and urban differences in patient experience were tested by ordinary least-squares regression and ordered logistic regression. RESULTS: The mean (SD) score of patient experience for rural and urban residents was 72.35(17.32) and 69.45(17.00), respectively. Urban residents reported worse patient experience than rural counterparts (Crude analysis: Coef. = - 2.897, 95%CI: - 4.434, - 1.361; OR = 0.706, 95%CI: 0.595, 0.838; Multivariate analysis: Coef. = - 3.040, 95%CI: - 4.473, - 1.607; OR = 0.675, 95%CI: 0.569, 0.801). Older (Coef. = 2.029, 95%CI: 0.338, 3.719) and healthier (Coef. = 2.287, 95%CI: 0.729, 3.845; OR = 1.217, 95%CI: 1.008, 1.469) rural residents living in western area (Coef. = 2.098, 95%CI: 0.464, 3.732; OR = 1.276, 95%CI: 1.044, 1.560) with higher social status (Coef. = 1.158, 95%CI: 0.756, 1.561; OR = 1.145, 95%CI: 1.090, 1.204), evaluation on adequacy (Coef. = 7.018, 95%CI: 5.045, 8.992; OR = 2.163, 95%CI: 1.719, 2.721), distribution (Coef. = 4.464, 95%CI: 2.471, 6.456; OR = 1.658, 95%CI: 1.312, 2.096) and accessibility (Coef. = 2.995, 95%CI: 0.963, 5.026; OR = 1.525, 95%CI: 1.217, 1.911) of healthcare resources had better patient experience. In addition, urban peers with lower education (OR = 0.763, 95%CI: 0.625, 0.931) and higher family economic status (Coef. = 2.990, 95%CI: 0.959, 5.021; OR = 1.371, 95%CI: 1.090,1.723) reported better patient experience. CONCLUSIONS: Differences in patient experience for rural and urban residents were observed in this study. It is necessary to not only encourage residents to form a habit of seeking healthcare services in local primary healthcare institutions first and then go to large hospitals in urban areas when necessary, but also endeavor to reduce the disparity of healthcare resources between rural and urban areas by improving quality and capacity of rural healthcare institutions and primary healthcare system of China.

Income-related inequality in distribution of health human resource among districts of Pakistan.

BACKGROUND: Solving inequality of health human resource (HHR) is one of the motives of Pakistan health policies, however, there is still exists a massive quantity of HHR inequality in almost every district of Pakistan. The main goal of this research is to scrutinize the disparity in allocation of human health resources among 114 regions of Pakistan from the year 2012 to 2016 and to expose the foundations and aspects of HHR inequality. METHODS: The data regarding this research has been obtained from Pakistan Statistical Bureau from the year 2012 to 2016. The statistics had also been collected from United Nation Development Program (UNDP) Pakistan 2017, Pakistan economic surveys, Ministry of finance Islamabad, Pakistan, Pakistan Social and Living standards Measurement (PSLM) Surveys from 2012 to 2016. The information incorporates district wise; the number of specialists and medical caretakers those are doctors and nurses, number of hospitals, number of beds, number of dispensaries, number of beds in dispensaries, urbanization, total estimated GNI per capita, infant mortality rate, geographical area, and population size. The concentration index is used to compute the extent of disparity in allocation of human health resources and decomposition analysis is also carried out to enumerate the contribution of each variable towards total inequality. Furthermore, the horizontal concentration was used to measure the participation of the need variable. RESULTS: 7. The consequent Concentration Indexes (CI) of the doctors and nurses for the year 2016 are 0.60 (95% CI= 0.42, 0.78) and 0.67 (95% CI= 0.42, 0.92) respectively. Decomposition of the concentration indexes exposed that the monetary status accounts are the leading percentage contributor in doctors disparity (77.5, 44.9, 30.6, - 11.6% and 13%) and population size (- 20.7,-10.5%, 4.6, 49.8, 19.7%). Furthermore, the monetary status formulates the superior contribution HHR disparity from nurses inequality (104.5, 75.1, 59.2, - 54.3%, - 40.1%), and population size (- 53.7, - 53.6%, - 36.3, 83.8, 65.3%). Moreover, after the identification of the need variable the Horizontal Concentration Index (HCI) values of doctors from the year 2012 to 2016 are 0.62, 0.64, 0.63, 0.62 and 0.61 and HCI of the nurses are 0.69, 0.70, 0.69, 0.68 and 0.67. CONCLUSION: The pro-rich disparity in allocation of HHR has been scrutinized from the year 2012 to 2016 among 114 districts of Pakistan. The hard concern of HHR disparity should be concentrated by the complete procedures from a multidisciplinary approach.

Does inpatient health services utilization vary by remoteness in the medical financial assistance population? Evidence from Shaanxi province, China.

BACKGROUND: Medical Financial Assistance (MFA) provides health insurance and financial support for millions of low income and disabled Chinese people, yet there has been little systematic analysis focused on this vulnerable population. This study aims to advance our understanding of MFA recipients' access to health care and whether their inpatient care use varies by remoteness. METHODS: Data were collected from the Surveillance System of Civil Affairs of Shaanxi province in 2016. To better proxy remoteness (geographic access), drive time from the respondent's village to the nearest county-level or city-level hospital was obtained by a web crawler. Multilevel models were used to explore the impacts of remoteness on inpatient services utilization by MFA recipients. Furthermore, the potential moderating role of hospital grade (i.e. the grade of medical institution where recipient's latest inpatient care services were taken in the previous year) on the relationship between geographic access and inpatient care use was explored. RESULTS: The analytical sample consisted of 9516 inpatient claims within 73 counties of Shaanxi province in 2016. We find that drive time to the nearest hospital and hospital grade are salient predictors of inpatient care use and there is a significant moderation effect of hospital grade. Compared to those with shortest drive time to the nearest hospital, longer drive time is associated with a longer inpatient stay but fewer admissions and lower annual total and out-of-pocket (OOP) inpatient costs. In addition, these associations are lower when recipients are admitted to a tertiary hospital, for annual total and OOP inpatient expenditures, but higher for length of the most recent inpatient stay no matter what medical treatments are taken in secondary or tertiary hospitals for the most remote recipients. CONCLUSION: Our results suggest that remoteness has a significant and negative association with the frequency of inpatient care use. These findings advance our understanding of inpatient care use of the extremely poor and provide meaningful insights for further MFA program development as well as pro-poor health strategies.

Prevalence and income-related equity in hypertension in rural China from 1991 to 2011: differences between self-reported and tested measures.

BACKGROUND: Along with economic growth and living standard improvement, hypertension has become one of the most prevalent chronic diseases in China. Self-reported measures and tested measures of hypertension may differ significantly due to the low awareness of prevalence. The objective of this study is to figure out whether and how self-reported measures differ from tested measures in terms of prevalence and equity. METHOD: We have used data from the China Health and Nutrition Survey database from 1991 to 2011 and extracted the data of rural areas using hukou system. Hypertension is categorized into two groups: self-reported hypertension and tested hypertension. To evaluate the equity of self-reported hypertension and tested hypertension, we calculated their Concentration Index (C) and decomposed C based on which we have obtained the horizontal-inequity index (HI) of each year. Probit Model was deployed to analyze the key determinants of hypertension prevalence. RESULTS: We found that the prevalence of both self-reported hypertension and tested hypertension have sharply increased from 1991 to 2011 in rural China and the population of tested hypertension was significantly larger than that of self-reported hypertension. For self-reported hypertension, prevalence rate increased from 2.72 to 13.2% and for tested hypertension it increased from 11.01 to 25.05%. Both of the Concentration Index (C) and horizontal-inequity index (HI) of self-reported hypertension and tested hypertension appeared to be contradictory. The C and HI of self-reported hypertension in 2011 were 0.032 and 0.060 respectively while the C and HI of tested hypertension were - 0.024 and - 0.015 respectively. CONCLUSION: More efforts should be put into for improving the poor's health, especially in equal access to health services. Symptom-based measures such as tested hypertension should be adopted more widely in empirical studies.

Research on the horizontal equity of inpatient benefits among NCMS enrollees in China: evidence from Shaanxi Province.

BACKGROUND: Equity is an important goal for countries in formulating relevant health policies, and research on the equity of health services is more important for China, where the gap between the rich and poor is widening. The aims of this study are to explore to what extent the benefit equity of New Rural Cooperative Medical System enrollees has been achieved and to determine the geographical disparities in Shaanxi province and thus provide suggestions for future policy formulations. METHODS: Data were obtained from the fifth Health Service Survey of Shaanxi province in 2013. A two-step mode was used to analyse the influencing factors of the inpatient benefit rate and inpatient compensation fee. Concentration indexes and concentration curves were applied to measure the inequity of the inpatient benefit rate and inpatient compensation fee. The decomposition method was employed to explore the source of inequity and horizontal inequity. RESULTS: Based on a sample of 38,032 enrollees, our results showed that there were pro-rich inequities in the inpatient benefit rate and compensation fee. The concentration index of the inpatient benefit rate and compensation fee in 2013 were 0.064 and 0.174, respectively. The economic level (224.62%), self-evaluated health status (- 25.89%) and occupation status (- 12.32%) were the primary three contributors to the inequity of the inpatient benefit rate, and the economic level (106.16%) and age (- 2.88%) were the first two contributors to the inequity of the compensation fee. There were regional differences in the sources of inequities. Moreover, pro-rich horizontal inequity remained after standardizing health care needs. CONCLUSIONS: Our results indicated that there were pro-rich inequities in the inpatient benefit rate and compensation fee in the New Rural Cooperative Medical System. The economic levels of enrollees accounted for most of the existing inequity, followed by self-evaluated health scores and age. Efforts should be made to strengthen policies and programmes in the New Rural Cooperative Medical System to achieve basic health services equity, such as implementing hierarchical medical treatments and reducing extra inpatient benefits for the rich.

Relationship between quality of life and adolescent glycolipid metabolism disorder: A cohort study.

BACKGROUND: The prevalence of glucolipid metabolic disorders (GLMDs) in children and adolescents has a recognized association with cardiovascular diseases and type 2 diabetes mellitus in adulthood. Therefore, it is important to enhance our under-standing of the risk factors for GLMD in childhood and adolescence. AIM: To explore the relationship between quality of life (QoL) and adolescent GLMD. METHODS: This study included 1956 samples in 2019 from a cohort study established in 2014. The QoL scale and glycolipid indexes were collected during follow-up; other covariates of perinatal factors, physical measures, and socioeconomic indicators were collected and adjusted. A generalized linear regression model and logistic regression model were used to analyse the correlation between QoL and GLMD. RESULTS: Higher scores of QoL activity opportunity, learning ability and attitude, attitude towards doing homework, and living convenience domains correlated negatively with insulin and homeostasis model assessment insulin resistance (IR) levels. Psychosocial factors, QoL satisfaction factors, and total QoL scores had significant protective effects on insulin and IR levels. Activity opportunity, learning ability and attitude, attitude towards doing homework domains of QoL, psychosocial factor, and total score of QoL correlated positively with high density lipoprotein. In addition, the attitude towards doing homework domain was a protective factor for dyslipidaemia, IR > 3, and increased fasting blood glucose; four factors, QoL and total QoL score correlated significantly negatively with IR > 3. In subgroup analyses of sex, more domains of QoL correlated with insulin and triglyceride levels, dyslipidaemia, and IR > 3 in females. Poor QoL was associated with an increased prevalence of GLMD, and the effect was more pronounced in males than in females. Measures to improve the QoL of adolescents are essential to reduce rates of GLMD. CONCLUSION: Our study revealed that QoL scores mainly correlate negatively with the prevalence of GLMD in adolescents of the healthy population. The independent relationship between QoL and GLMD can be illustrated by adjusting for multiple covariates that may be associated with glycaemic index. In addition, among females, more QoL domains are associated with glycaemic index.

The relationship between duration of subjective poverty and health among Chinese adults: Evidence from the China Family Panel Study.

Introduction: The disadvantaged socioeconomic status could have accumulated negative effects on individual. In the Chinese context, studying subjective and relative poverty is more important under the implementation of the Targeted Poverty Alleviation campaign. This study aims to provide evidence of the relationship between the duration of subjective poverty and both physical and mental health among Chinese adults, using nationally longitudinal data from 2010 to 2018. Materials and methods: Data were extracted from a nationally representative survey database-the China Family Panel Study (CFPS). The total sample size contains 12,003 adults, with 3,532 in the urban area and 8,471 in the rural area. Self-rated health and depressive symptoms were set as indicators of physical health and mental health, respectively. The duration of subjective poverty was measured by self-rated income level in the local area from 2010 to 2016. A series of ordinary least square regression was adopted to measure the relationship between duration of subjective poverty and health. Results: For the urban residents, the average duration of subjective poverty is 1.99 time points, while 1.98 time points for the rural residents. Net of objective poverty, duration of subjective poverty has a significantly negative association with individual's self-rated health in the rural sample (Coef. = -0.10, p < 0.001). Compared with those who have not experienced subjective poverty, the self-rated health score of people who experienced four time points is likely to decrease by 0.54 in the rural area and 0.30 in the urban area. In terms of mental health, 1 unit increase in the duration of subjective poverty is related to 0.15 unit increase in Center for Epidemiologic Studies Depression Scale-8 (CES-D8) scores in the urban sample and 0.46 in the rural sample. Compared with those who have not experienced subjective poverty, the CES-D8 scores of people who experienced four time points are likely to increase by 1.47 in the rural area and 0.95 in the urban area. Conclusion: A longer duration of subjective poverty has a cumulatively negative effect on Chinese residents' physical and mental health, especially in rural area. Our study advocates researchers and policymakers pay more attention to the cumulative effect of subjective poverty on health.

The Effects of China's Targeted Poverty Alleviation Policy on the Health and Health Equity of Rural Poor Residents: Evidence from Shaanxi Province.

Objective: China's targeted poverty alleviation policy has a profound impact on the country's rural economic and social development now. This study aimed to learn about the health status and health equity of rural poor residents under the implementation of the policy. It further explores the factors affecting the health status and health equity of rural poor residents in order to contribute to the improvement of the policy. Methods: The data of 1233 rural poor residents were collected from a questionnaire survey from 12 prefecture-level cities and areas of Shaanxi province in 2017, and the self-reported health was used to reflect the health status. A concentration index was applied to measure the inequity of the health status of rural poor residents. The decomposition method was employed to explore the source of health inequity. Results: The results showed that 44.56% of rural poor residents in Shaanxi province had a poor or very poor health status, which was affected by their economic level, gender, age, degree of education, and marital status. Additionally, participation in agricultural industry development, relocation, health poverty alleviation, and basic living standards were significantly correlated with health status. The concentration index of the health status of rural poor residents was 0.0327. The primary contributors to the health inequity in different regions varied, but the economic level and the degree of education were the most significant factors, and the targeted poverty alleviation policy had a significant impact on health equity. Conclusions: The results indicated that the health status of rural poor residents in Shaanxi province was generally poor, there was a pro-rich inequity in the health status, and the degree of education and economic level were the primary factors affecting the health status and health equity. The targeted poverty alleviation policy greatly impacted the health status and health equity of rural poor residents, and the difference in health status would lead to the inequity of benefits of the targeted poverty alleviation policy. In the future, the policy should focus on ensuring the sustainable development ability of rural residents with poor health status.

Decomposing inequality in catastrophic health expenditure for self-reported hypertension household in Urban Shaanxi, China from 2008 to 2013: two waves' cross-sectional study.

OBJECTIVE: Despite the latest wave of China's healthcare reform initiated in 2009 has achieved unprecedented progress in rural areas, little is known for specific vulnerable groups' catastrophic health expenditure (CHE) in urban China. This study aims to estimate the trend of incidence, intensity and inequality of CHE in hypertension households (households with one or more than one hypertension patient) in urban Shaanxi, China from 2008 to 2013. METHODS: Based on the fourth and the fifth National Health Service Surveys of Shaanxi, we identified 460 and 1289 households with hypertension in 2008 and 2013, respectively for our analysis. We classified hypertension households into two groups: simplex households (with hypertension only) and mixed households (with hypertension plus other non-communicable diseases). CHE would be identified if out-of-pocket healthcare expenditure was equal to or higher than 40% of a household's capacity to pay. Concentration index and its decomposition based on Probit regressions were employed to measure the income-related inequality of CHE. RESULTS: We find that CHE occurred in 11.2% of the simplex households and 22.1% of the mixed households in 2008, and the 21.5% of the simplex households and the 46.9% of mixed households incurred CHE in 2013. Furthermore, there were strong pro-poor inequalities in CHE in the simplex households (-0.279 and -0.283) and mixed households (-0.362 and -0.262) both in 2008 and 2013. The majority of observed inequalities in CHE could be associated with household economic status, household head's health status and having elderly members. CONCLUSION: We find a sharp increase of CHE occurrence and the sustained strong pro-poor inequalities for simplex and mixed households in urban Shaanxi Province of China from 2008 to 2013. Our study suggests that more concerns are needed for the vulnerable groups such as hypertension households in urban areas of China.