Greater inequalities in dental caries treatment than in caries experience: a concentration index decomposition approach

Background The aim of the current study was to (a) measure the socioeconomic inequalities in oral health and examine whether the inequalities are greater in disease experience or in its treatment and to (b) decompose the factors that influence oral health inequalities among the adults of Guangdong Province. Methods A cross-sectional study was conducted among 35- to 44-year-old and 65- to 74-year-old adults in Guangdong Province. All participants underwent oral health examinations and answered questionnaires about their oral health. We measured the concentration indices of the DMFT and its separate components, namely, decayed teeth (DT), missing teeth (MT), and filled teeth (FT), to explore the inequalities in oral health status; then, we analysed its decomposition to interpret the factors that influence the inequalities. Results The results showed that significant inequality was concentrated on FT (CI = 0.24, 95% CI = 0.14/0.33, SE = 0.05). The concentration indices for the DMFT (CI = 0.02, 95% CI = 0.02/0.06, SE = 0.02) and MT (CI = 0.02, 95% CI 0.03/0.08, SE = 0.03) were small and close to zero, while the concentration for DT (CI = − 0.04, 95% CI = − 0.01/0.02, SE = 0.03) was not statistically significant. The results from the decomposition analysis suggested that a substantial proportion of the inequality was explained by household income, high education level, regular oral examination and type of insurance (5.1%, 12.4%, 43.2%, − 39.6% (Urban Employee Basic Medical Insurance System) and 34.5% (New-Type Rural Medical Collaboration System), respectively). Conclusions The results indicated greater inequalities in dental caries than in caries experience. Among the included factors, household income, high education level, and regular oral health examinations had the greatest impact on the inequalities in the number of FT. In addition, the current medical insurance systems, including the Urban Employee Basic Medical Insurance System, Urban Resident Basic Medical Insurance System, and the New-Type Rural Medical Collaboration System, have not been effectively used in oral treatment. Policy-making and the implementation of interventions for tackling socioeconomic oral health inequalities should focus on reducing the burden of treatment and providing greater access to dental care for low-income groups. Welfare policies are skewed towards rural areas and low-income people.

Use of Traditional Chinese Medicine and Its Impact on Medical Cost among Urban Ischemic Stroke Inpatients in China: A National Cross-Sectional Study

Background. Traditional Chinese medicine (TCM) has long been widely adopted by the Chinese people and has been covered by China’s basic medical insurance schemes to treat ischemic stroke. Previous research has mainly highlighted the therapy effect of TCM on ischemic stroke patients. Some studies have demonstrated that employing TCM can reduce the medical burden on other diseases. But no research has explored whether using TCM could reduce inpatient medical cost for ischemic stroke in mainland China. The purpose of this study is to investigate the impact of the use of TCM on the total inpatient cost of ischemic stroke and to explore whether TCM has played the role of being complementary to, or an alternative for, conventional medicine to treat ischemic stroke. Methods. We conducted a national cross-sectional analysis based on a 5% random sample from claims data of China Urban Employee Basic Medical Insurance (UEBMI) and Urban Resident Basic Medical Insurance (URBMI) schemes in 2015. Mann–Whitney test was used to compare unadjusted total inpatient cost, conventional medication cost, and nonpharmacy cost estimates. Ordinary least square regression analysis was performed to compare demographics-adjusted total inpatient cost and to examine the association between TCM cost and conventional medication cost. Results. A total of 47321 urban inpatients diagnosed with ischemic stroke were identified in our study, with 92.6% (43843) of the patients using TCM in their inpatient treatment. Total inpatient cost for TCM users was significantly higher than TCM nonusers (USD 1217 versus USD 1036, P < 0.001 ). Conventional medication cost was significantly lower for TCM users (USD 335 versus USD 436, P < 0.001 ). The average cost of TCM per patient among TCM users was USD 289. Among TCM users, conventional medication costs were found to be positively associated with TCM cost after adjusting for confounding factors (Coef. = 0.144, P < 0.001 ). Conclusion. Although the use of TCM reduced the cost of conventional medicine compared with TCM nonusers, TCM imposed an extra financial component on the total inpatient cost on TCM users. Our study suggests that TCM mainly played a complementary role to conventional medicine in ischemic stroke treatment in mainland China.

Assessment of the satisfaction with public health insurance programs by patients with chronic diseases in China: a structural equation modeling approach

Background China has successfully sustained its universal health insurance coverage over the past decade. Although patient satisfaction has been recognized as an important indicator to measure the performance of insurance programs in China, there is a lack of evidence on how patients with chronic diseases are satisfied with China’s public health insurance programs and whether their satisfaction differs by type of insurance. We aimed to fill the evidence gap. Methods We established a hypothetical model that comprised patients’ awareness of insurance policies, the fulfillment of patients’ expectations of insurance benefits, patients’ perceived value of health insurance coverage, patients’ satisfaction with health insurance programs, patients’ complaints, and trust in health insurance programs. We performed a confirmatory factor analysis by using a structural equation modeling (SEM) approach to examine the hypothesized model. A model-testing survey in 10 tertiary hospitals was conducted between June and October 2018, with a valid sample of 922 insured patients with chronic diseases. Results The SEM model, with good fit indices, showed that patients’ awareness of health insurance policies, insurance program’s fulfillment of expectations, and patients’ perceived value of insurance coverage, positively predicted patient satisfaction (P < 0.01). The fulfillment of patients’ expectations of insurance benefits was the major predictor of satisfaction with health insurance (coefficient = 0.593, P < 0.001), while the patients’ perceived value of insurance coverage had the largest impact on their trust in health insurance (coefficient = 0.409, P < 0.01). Compared to patients with Urban-Rural Resident Basic Medical Insurance, Urban Employee Basic Medical Insurance enrollees had a higher degree of satisfaction with insurance on average (P < 0.01). Despite differences in the degree of satisfaction, the main findings from the SEM were also proved by the multi-group analysis. Conclusions Our findings highlight the importance of incorporating patients’ perceived value as part of the ongoing efforts to increase satisfaction with health insurance by patients, especially those who have chronic diseases. Policymakers are also suggested to formulate evidence-informed reimbursement policies that meet patients’ expectations.

The influence of medical insurance and social security cards on the floating population's settlement intention

Background Medical insurance and social security cards are an important incentive for the floating population to live a stable life in their current residence, but there has been little studies on their effect on settlement intentions. Therefore, the purpose of this paper was to study the impact of basic medical insurance for urban employees and application for personal social security cards on the settlement intentions of the floating population. With the increase of the desire to settle, the health management and the development of public health will be improved. Methods Based on the 2017 survey data from the dynamic monitoring of China's floating population, we explored the influence of basic medical insurance for urban employees and social security cards on the floating population's settlement intentions. Additionally, this study also examined the comprehensive causal relationship, with social integration as the mediator variable. We used SPSS 21.0 software. The input method was used to analyze the influence of the above variables by binary logistic regression. Then we used AMOS22.0 software to establish the structural equation model of the relationship between the above three independent variables. Finally, we used bootstrapping method to analyze the direct effect, indirect effect and total effect of independent variables on settlement intention. Results The settlement intention of members of the floating population after participating in basic medical insurance for urban employees was 23.2% higher than that of those who did not participate. The decision as to whether to apply for a personal social security card is related to their settlement intention. The standardized regression coefficients among social insurance and security, social integration, and settlement intention were positive values, and the Z values of the overall effect, indirect effect, and direct effect were all greater than 1.96; the confidence interval of the indirect effect did not include 0. We found that this model is a partial intermediary model, with an intermediary ratio of 10.66%. Conclusions This article highlights the important impact of basic medical insurance for urban employees and individual social security cards on the floating population. The conclusions of this study provide suggestions for the government to use when designing policies to enhance the settlement intentions of the floating population and to improve the development of public health undertakings.

Perceived effect of financial risk protection by the Urban–Rural Resident Basic Medical Insurance Scheme: a mixed-methods study of rural residents in China

ObjectivesIt is to explore the perceived financial risk protection effect of the Urban–Rural Resident Basic Medical Insurance Scheme (URRBMI) and its influencing factors to provide evidence to further improve the URRBMI.DesignIt is a cross-sectional survey.ParticipantsThis mixed-methods study is conducted in five provinces in rural China. Through stratified cluster random sampling, 1681 rural residents participate in a cross-sectional questionnaire survey (1657 valid questionnaires are retrieved). Thirty rural residents participate in in-depth interviews.Primary and secondary outcome measuresA multivariate logistic regression analysis is adopted to identify factors influencing respondents’ perceptions. Semistructured interviews are used to identify the reasons why some respondents believed the URRBMI to be ineffective.ResultsOverall, 77.5% of respondents believe that the URRBMI is effective. Respondents, who are older, have a higher household income, prefer primary health facilities and provide a higher rating for critical illness compensation and maximum compensatory payouts. They are more likely to give the URRBMI a higher effectiveness rating than their counterparts. Qualitatively, participants who believe the URRBMI to be ineffective list the following reasons: low outpatient service coverage, insufficient or undersupplied drugs and services in the insurance list, problems in the arrangement of deductibles and maximum compensatory payouts, provider-induced behaviour and increased healthcare service price.ConclusionsThis exploration focuses on the reasons why rural residents think the scheme is invalid, which are vital for policy reform. Policies should focus on benefits design and coverage, the assumption of a supervisory role, avoiding financial risk stemming from critical illness and cross-sectoral actions to strengthen the primary healthcare system and comprehensive social security wealth.

Empirical Study on the Impact of Urban and Rural Resident Basic Medical Insurance on Children's Educational Outcomes

This paper employs data from the 2016 and 2018 China Family Panel Studies (CFPS) to study the impact of participation in Urban and Rural Resident Basic Medical Insurance (URRBMI) on children's educational outcomes by using the logit model, double selection Lasso model, and propensity score matching. It is found that participating in URRBMI has no significant effect on children's Chinese performance, but has a significant negative effect on children's mathematics performance. The negative effect is more obvious for children who participating in the New Cooperative Medical Scheme (NCMS). The paper also studies the channel effects of participation in URRBMI on children's educational outcomes trough two different ways. It is noticed that both channel effects are not significant, that is, participation in URRBMI neither improves children's health nor changes household education expenditures.

The Morbidity Costs of Air Pollution through the Lens of Health Spending in China

This study offers one of the first causal evidence on the morbidity costs of fine particulates (PM2.5) for all age cohorts in a developing country, using individual-level healthcare spending data from the basic medical insurance program in Wuhan, China. Our instrumental variable (IV) approach uses thermal inversion to address potential endogeneity in PM2.5 concentrations and shows that PM2.5 imposes a significant impact on medical expenditures. The IV estimate suggests that a 10 μg/m3 reduction in monthly average PM2.5 leads to a 2.79% decrease in the value of health spending and a 0.70% decline in the number of transactions in pharmacies and health facilities. The effect is more salient for males, children, and older adults. Moreover, our estimates provide a lower bound of people's willingness-to-pay, which amounts to CNY 51.85 (or USD 8.38) per capita per year for a 10 μg/m3 reduction in PM2.5.

Analysis of Economic Effect and Mechanism of Basic Medical Insurance for Urban Employees in China

The purpose of social basic medical insurance is to solve the problem that “medical treatment is difficult and expensive.” With the implementation of new technologies and new diagnosis and treatment methods, the price of medicine has risen sharply. Under this background, can basic medical insurance still relieve the economic pressure of patients? Based on the tracking data of China Health and Nutrition Survey (CHNS) from 2006 to 2015, by constructing Heckman sample selection model, the paper finds that the basic medical insurance for urban employees (UEBMI) leads to an increase in medical expenses, among which only 0.61% can be attributed to the release of normal medical demand and 114.47% can be attributed to moral hazard; for flexible employees, 249.52% increase can be attributed to adverse selection. Based on this, the paper puts forward two suggestions: first, promoting Hierarchical Treatment Model to control the growth of medical expenses and second, guiding flexible employees to participate in the UEBMI.