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What has driven the spatial spillover of China's out-of-pocket payments?

ABSTRACT: BACKGROUND:Even though China launched a series of measures to alleviate several financial burdens (including health insurance scheme, increased government investment, and so on), the economic burden of health expenditure has still not been alleviated. Out-of-pocket payments (OPPs) show not only a time correlation but also some degree of spatial correlation. The aims of the current study were thus to identify the spatial cluster of OPPs, to investigate the main factors affecting variation, and to explore the spatial spillover sources of China's OPP. METHODS:Global and local spatial autocorrelation tests were validated to identify the spatial cluster of OPPs using the panel data of 31 provinces in China from 2005 to 2016. The Spatial Durbin Model, established in this paper, measured the spatial spillover effect of OPPs and analyzed the possible spillover sources (demand, supply, and socio-economic factors. RESULTS:OPPs were found to have a significant and positive spatial correlation. The results of the Spatial Durbin Model showed the direct and indirect effects of demand, supply, and socio- economic factors on China's OPPs. Among the demand factors, the direct and indirect correlation (elasticity) coefficients were positive. Among the supply factors, the direct and indirect effects of the share of primary health beds on residents' OPPs were negative. The ratio of health technicians in hospitals to those in primary health institutions on per capital OPPs had a significant indirect effect. Among the socio-economic factors, the direct effects of GDP, government health expenditure, and urbanization on OPPs were found to be positive. There were no significant indirect effects of socio-economic factors on OPPs. CONCLUSION:This paper finds that China's OPPs are not randomly distributed but, overall, present a positive spatial cluster, even though a series of measures have been launched to promote health equity. Socio-economic factors and those associated with demand were found to be the main influences of variation in OPPs, while demand was seen to be the driver of the positive spatial spillover of OPPs, whereby effective supply could inhibit these positive spillover effects.

SUBMITTER: Zhang R

PROVIDER: S-EPMC6716932 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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What has driven the spatial spillover of China's out-of-pocket payments?

Zhang Ruijie R Li Jinghua J Du Xiaochun X Ma Tianjiao T Zhang Li L Zhang Qian Q Xia Fang F

BMC health services research 20190830 1

<h4>Background</h4>Even though China launched a series of measures to alleviate several financial burdens (including health insurance scheme, increased government investment, and so on), the economic burden of health expenditure has still not been alleviated. Out-of-pocket payments (OPPs) show not only a time correlation but also some degree of spatial correlation. The aims of the current study were thus to identify the spatial cluster of OPPs, to investigate the main factors affecting variation ...[more]

PMID: 31470846

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Project description:ObjectiveThe financial burden from noncommunicable diseases (NCDs) is a threat worldwide, alleviated only when good social protection schemes are in place. Albeit the Government in Albania has committed to Universal Healthcare Coverage (UHC), Out-of-Pockets (OOPs) persist. Through this study, we aimed to assess the OOPs related to consultations, diagnostic tests, and medicine prescriptions as self-reported by people suffering from NCDs.MethodsA household survey was conducted in two regions of Albania. The present analysis includes respondents who suffered from chronic health conditions and consulted a health care provider within the last 8 weeks (n = 898). Mixed logistic regression models with random intercepts at the level of communities were employed in order to assess the association of OOPs with age, gender, urban vs. rural residency, health insurance, marital status, barriers experienced, type of chronic condition(s) and region.ResultsOf those who consulted a provider, 95% also received a drug prescription. Among them, 94% were able to obtain all the drugs prescribed. Out-of-pocket payments occurred throughout the NCD treatment process; specifically, for consultation (36%), diagnostic tests (33%), and drugs purchased (88%). Drug expenditures accounted for 62% of all household expenditures. Respondents with health insurance were less likely to pay for consultation and drugs. The elderly (patients above 60 years old) were less likely to pay for consultations and tests. Those who lived in urban areas were less likely to pay for drugs and consultations. Patients encountering any form of barrier when seeking care had increased odds of OOPs for consultations (OR; 2.25 95%-CI; 1.57; 3.23) and tests (OR; 1.71 95%-CI; 1.19; 2.45).ConclusionOut-of-pocket payments by NCD patients principally made up through the purchase of prescribed drugs, remain important. Tackling the high costs of drugs will be important to accelerate the UHC agenda. Here, it is important to raise the population's awareness on patients' knowledge of their entitlements to health insurance, and on the current health reforms.

Project description:BackgroundThe burden of chronic conditions is on the rise in India, necessitating long-term support from healthcare services. Healthcare, in India, is primarily financed through out-of-pocket payments by households. Considering scarce evidence available from India, our study investigates whether and how out-of-pocket payments for outpatient care affect individuals with chronic conditions.MethodsA large census covering 9299 households was conducted in Bangalore, India. Of these, 3202 households that reported presence of chronic condition were further analysed. Data was collected using a structured household-level questionnaire. Out-of-pocket payments, catastrophic healthcare expenditure, and the resultant impoverishment were measured using a standard technique.ResultsThe response rate for the census was 98.5%. Overall, 69.6% (95%CI=68.0-71.2) of households made out-of-pocket payments for outpatient care spending a median of 3.2% (95%CI=3.0-3.4) of their total income. Overall, 16% (95%CI=14.8-17.3) of households suffered financial catastrophe by spending more than 10% of household income on outpatient care. Occurrence and intensity of financial catastrophe were inequitably high among poor. Low household income, use of referral hospitals as place for consultation, and small household size were associated with a greater likelihood of incurring financial catastrophe.The out-of-pocket spending on chronic conditions doubled the number of people living below the poverty line in one month, with further deepening of their poverty. In order to cope, households borrowed money (4.2% instances), and sold or mortgaged their assets (0.4% instances).ConclusionsThis study provides evidence from India that the out-of-pocket payment for chronic conditions, even for outpatient care, pushes people into poverty. Our findings suggest that improving availability of affordable medications and diagnostics for chronic conditions, as well as strengthening the gate keeping function of the primary care services are important measures to enhance financial protection for urban poor. Our findings call for inclusion of outpatient care for chronic conditions in existing government-initiated health insurance schemes.

Project description:BackgroundOut-of-pocket spending (OOPS) is the major payment strategy for healthcare in Nigeria. Hence, the paper assessed the determinants socio-economic status (SES) of OOPS and strategies for coping with payments for healthcare in urban, semi-urban and rural areas of southeast Nigeria. This paper provides information that would be required to improve financial accessibility and equity in financing within the public health care system.MethodsThe study areas were three rural and three urban areas from Ebonyi and Enugu states in South-east Nigeria. Cross-sectional survey using interviewer-administered questionnaires to randomly selected householders was the study tool. A socio-economic status (SES) index that was developed using principal components analysis was used to examine levels of inequity in OOPS and regression analysis was used to examine the determinants of use of OOPS.ResultsAll the SES groups equally sought healthcare when they needed to. However, the poorest households were most likely to use low level and informal providers such as traditional healers, whilst the least poor households were more likely to use the services of higher level and formal providers such as health centres and hospitals. The better-off SES more than worse-off SES groups used OOPS to pay for healthcare. The use of own money was the commonest payment-coping mechanism in the three communities. The sales of movable household assets or land were not commonly used as payment-coping mechanisms. Decreasing SES was associated with increased sale of household assets to cope with payment for healthcare in one of the communities. Fee exemptions and subsidies were almost non-existent as coping mechanisms in this studyConclusionsThere is the need to reduce OOPS and channel and improve equity in healthcare financing by designing and implementing payment strategies that will assure financial risk protection of the poor such pre-payment mechanisms with government paying for the poor.

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What has driven the spatial spillover of China's out-of-pocket payments?

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What has driven the spatial spillover of China's out-of-pocket payments?

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