Dataset Information

Investigating determinants of out-of-pocket spending and strategies for coping with payments for healthcare in southeast Nigeria.

ABSTRACT:

Background

Out-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.

Methods

The 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.

Results

All 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 study

Conclusions

There 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.

SUBMITTER: Onwujekwe OE

PROVIDER: S-EPMC2851710 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature

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Publications

Investigating determinants of out-of-pocket spending and strategies for coping with payments for healthcare in southeast Nigeria.

Onwujekwe Obinna E OE Uzochukwu Benjamin S C BS Obikeze Eric N EN Okoronkwo Ijeoma I Ochonma Ogbonnia G OG Onoka Chima A CA Madubuko Grace G Okoli Chijioke C

BMC health services research 20100317

<h4>Background</h4>Out-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.<h4>Methods</h4>The study areas were three rural a ...[more]

PMID: 20233454

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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:BackgroundDental healthcare is the costliest and single most source of the financial barrier to seeking and use of needed healthcare. Hence, this study aims to analyses impact of out-of-pocket (OOP) payments for dental services on prevalence catastrophic healthcare expenditure (CHE) among Iranian households during 2018.MethodsWe performed a cross-sectional analysis to determine the prevalence rate of CHE due to use of dental healthcare services among 38,858 Iranian households using the 2018 Household Income and Expenditure Survey (HIES) survey data of Iran. The WHO approach was used to determine the CHE due to use of dental care services at the 40% of household capacity to pay (CTP). Multiple logistic regression models were used to obtain the odds of facing with CHE among households that paid for any dental healthcare services over the last month while adjusting for covariates included in the model. These findings were reported for urban, rural areas and also for low, middle and high human development index HDI across provinces.ResultsThe study indicated that the prevalence of CHE among households that used and did not used dental services over the last month was 16.5% (95% CI: 14.9 to 18.3) and 4.3% (95% CI: 4.1 to 4.6), respectively. The adjusted odds ratio (AOR) for the covariates revealed that the prevalence of CHE for the overall households that used dental healthcare service was 6.2 times (95% CI: 5.4 to 7.1) than those that did not use dental healthcare services. The urban households that used dental healthcare had 7.8 times (95%CI: 6.4-9.4) while the rural ones had 4.7 times (95% CI: 3.7-5.7) higher odds of facing CHE than the corresponding households that did not use dental healthcare services.ConclusionsThe study indicates that out-of-pocket costs for dental care services impose a substantial financial burden on household's budgets at the national and subnational levels. Alternative health care financing strategies and policies targeted to the reduction in CHE in general and CHE due to dental services in particular are urgently required in low and middle income countries such as Iran.

Project description:BackgroundThe low-and middle-income countries, including Nepal, aim to address the financial hardship against healthcare out-of-pocket (OOP) payments through various health financing reforms, for example, risk-pooling arrangements that cover different occupations. World Health Organization (WHO) has recommended member states to establish pooling arrangements so that the financial risks owing to health uncertainty can be spread across population. This study aims to analyse the situation of financial protection across occupations and geography using nationally representative annual household survey (AHS) in Nepal.MethodsWe measured catastrophic health expenditure (CHE) due to OOP using two popular approaches-budget share and capacity-to-pay, and impoverishment impact at absolute and relative poverty lines. This study is the first of its kind from south-east Asia to analyse disaggregated estimates of financial protection across occupations and geography. The inequality in financial risk protection was measured using concentration index. Data were extracted from AHS 2014-15 -a cross-sectional survey that used standard consumption measurement tool (COICOP) and International Standard Classification of Occupations (ISCO).ResultsWe found a CHE of 10.7% at 10% threshold and 5.2% at 40% threshold among households belonging to agricultural workers. The corresponding figures were 10% and 4.8% among 'plant operators and craft workers'. Impoverishment impact was also higher among these households at all poverty lines. In addition, CHE was higher among unemployed households. A negative concentration index was observed for CHE and impoverishment impact among agricultural workers and 'plant operators and craft workers'. In rural areas, we found a CHE of 11.5% at 10% threshold and a high impoverishment impact. Across provinces, CHE was 12% in Madhesh and 14.3% in Lumbini at 10% threshold, and impoverishment impact was 1.9% in Madhesh, Karnali and Sudurpachim at US $1.90 a day poverty line.ConclusionHouseholds belonging to informal occupations were more prone to CHE and impoverishment impact due to healthcare OOP payments. Impoverishment impact was disproportionately higher among elementary occupations, agricultural workers, and 'plant operators and craft workers'. Similarly, the study found a wide urban/rural and provincial gap in financial protection. The results can be useful to policymakers engaged in designing health-financing reforms to make progress toward UHC.

Project description:In this study, we analyzed healthcare provision and health expenditure across six Mediterranean countries that adopt the National Health System (Beveridge model) and that form part of the European Union (EU) with the main aim being that of analyzing and comparing out-of-pocket health spending in countries with a European Mediterranean connection. To this end, we considered various economic indicators and statistics to derive commonalities and differences across these countries and also compared trends in these indicators to those observed across the rest of the EU. We then analyzed these findings in light of other data related to the quality of healthcare delivery and the infrastructure of the health system and discussed recent developments in healthcare within each country and the main challenges faced by the respective health systems. The results show that on average, Mediterranean countries spend less on total healthcare expenditure (THE) than the EU average, both as a proportion of GDP, as well as in per capita terms. This is primarily driven by lower-than-EU-average public funding of healthcare. The 2008/2009 macro-economic and financial crisis had a significant impact on the countries under review, and explains the persistent reductions in public health spending as part of the austerity measures put in force across sectors. On the flipside, Mediterranean countries have a higher presence of private health providers in total funding, thereby explaining the higher Out-of-Pocket (OOPs) health expenditures in these countries relative to the EU-average. With regard to the overall health infrastructure in these countries, we observed that although the supply of physicians is largely in line with the rest of the EU, there is under-supply when it comes to hospital beds. This may be symptomatic of lower government funding. Nonetheless, all countries score highly in the evaluation of the quality of health services, as recorded by international rankings like the WHO's 2000 metric, whereas health system performance indicators, namely mortality rates and life expectancy reveal favorable health outcomes in the Mediterranean EU countries. The findings in this paper may be seen in light of the Mediterranean region's lifestyle in terms of diet, health behavior, health beliefs and shared culture. In particular, the higher out-of-pocket expenditure may reflect the tendency for one-to-one relationships with private clinicians and the pursuit of person-centered care (1). Additionally, the Mediterranean people may not be as disciplined as their European counterparts in accessing and using the public health sector. The lower THE also reflects the fact that the Mediterranean countries are less wealthy than the more economically-advanced European countries.

Project description:BACKGROUND:With total and out-of-pocket spending for oral oncolytics rising, there is increased interest in choosing oncology treatments based on their clinical value relative to cost. OBJECTIVE:To determine if out-of-pocket spending varied for higher versus lower benefit oral oncology drugs reimbursed by commercial insurers. METHODS:This study was a retrospective analysis of commercial insurer prescription drug claims filed between 2007 and 2014 for 13 oral oncolytics approved before 2009. We calculated mean monthly out-of-pocket payment for each fill by patient. We then categorized oral oncolytics by their overall and progression-free survival benefits for each FDA-approved indication, using evidence from published studies. We assessed the relationship of survival benefit with mean monthly out-of-pocket payment, adjusting for demographic and plan characteristics. RESULTS:Our population included 44,113 patients aged 18-65 years (mean 52.5 [SD 9.4]) with a cancer diagnosis who filled 731,354 prescriptions. The most commonly represented oncolytics were imatinib (37.4% of fills), lenalidomide (17.7% of fills), and dasatinib (10.0% of fills). Approximately 32.3% of fills were for drug-indication pairs with an overall survival benefit of 4+ years. In adjusted analyses, there was no clear pattern to suggest that out-of-pocket payments differed with drug indication-specific survival benefits. Drugs for indications providing > 0 to 1 year of overall survival benefit were significantly more likely to have a lower out-of-pocket payment versus those prescribed off-label, but there were no significant differences in out-of-pocket payments between drugs and associated indications in any other survival category versus drugs used off-label. CONCLUSIONS:Out-of-pocket payments for oral oncolytics were not clearly related to indication-specific value in commercially insured patients. This finding suggests that despite increased attention to value- and indication-based drug pricing, cost sharing for oral oncolytics does not currently reflect these goals. DISCLOSURES:This project was supported by Research Scholar Grant RSGI-14-030-01-CPHPS from the American Cancer Society; the NIH Building Interdisciplinary Research Careers in Women's Health (BIRCWH) K12 Program; the North Carolina Translational and Clinical Sciences Institute (UL1TR001111) Grant; and K24CA181510 from the National Cancer Institute. The authors have no disclosures. Data from this study were presented at the 2017 American Society for Clinical Oncology Annual Meeting on June 5, 2017, in Chicago, Illinois.

Project description:BackgroundEven 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.MethodsGlobal 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.ResultsOPPs 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.ConclusionThis 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.

Project description:IntroductionOut-of-pocket (OOP) payments for healthcare severely affect the current consumption, future health and earnings capacity of poor/underprivileged households and hence it is crucial for priority setting. This study assesses the variation in overall as well as disease-specific impoverishment impact of OOP payments between the regions experiencing different climate change risks, defined as high disaster-prone (HDP) areas and low-disaster-prone (LDP) areas, in Bangladesh.Materials and methodsThis paper estimated three poverty measures, such as poverty headcount, poverty intensity and normalized poverty gap for all ailments, catastrophic events, diseases types (communicable, non-communicable (NCDs), and accident and injury), illness conditions (acute and chronic) and hospitalization using 3,791 randomly selected rural households (1,203 from HDP and 2,588 from LDP areas) across the regions. Cost of basic need approach was used for estimating poverty line expenditure.ResultsAbout 13 percent households annually fall into poverty due to OOP outlays for healthcare. Despite having significantly (p-value≤0.01) less OOP payments (HDP areas: BDT 5,117; LDP areas: BDT5,811) the impoverishment impact of OOP payments for healthcare in HDP areas (16.5%) has substantially higher than LDP areas (11.3%). Population in HDP areas, especially char (river island; 19.55 percent) and haor (water submerged; 16.80 percent) are more susceptible to any level of OOP payments due to low level of earnings. Catastrophic healthcare expenditure (61.79%) and NCDs (14.29 percent) are exacerbating the poverty level in Bangladesh. Both absolute and relative average poverty gap are more widen in HDP than LDP areas due to catastrophic OOP outlays for healthcare.ConclusionThe impoverishment effect due to OOP payments for healthcare in both HDP and LDP areas are high, especially for NCDs and catastrophic healthcare expenditure. However, the situation is bit worse in HDP areas. Preventing the escalation of NCDs as well as catastrophic expenditure and hence reducing the level of impoverishment thereof call for restricting tobacco use, increasing physical activity, encouraging to intake healthy diets, ensuring food safety, controlling air pollution, and improving mental health. Moreover, government should give more emphasis, especially in the HDP areas, on making community clinics more functional through providing screening equipment and training to the Community Health Care Providers for early detection of NCDs, and ensuring availability of medicine all the time. Note that other than community clinics, there is little option for providing healthcare in HDP areas due to poor functionality of public facilities as well as lack of private facilities in HDP areas.

Dataset Information

Investigating determinants of out-of-pocket spending and strategies for coping with payments for healthcare in southeast Nigeria.

Background

Methods

Results

Conclusions

Publications

Investigating determinants of out-of-pocket spending and strategies for coping with payments for healthcare in southeast Nigeria.

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