Evaluating equity across the continuum of care for maternal health services: analysis of national health surveys from 25 sub-Saharan African countries.

BACKGROUND: Ensuring access to the continuum of care for maternal, neonatal, and child health is an effective strategy for reducing maternal and child mortality. We investigated the extent of dropout, wealth-related inequalities, and drivers of inequality in the continuum of care for maternal health services in sub-Saharan Africa. METHODS: We analysed Demographic and Health Surveys (DHS) conducted between 2013 and 2019 across 25 sub-Saharan African countries. We defined the continuum of care for maternal health services as women who had received at least four ANC contacts (ANC 4 + contacts), skilled care at birth, and immediate postnatal care (PNC). We used concentration index to estimate wealth-related inequalities across the continuum of care. Multilevel logistic regression models were used to identify predictors of inequality in completing the continuum of care. RESULTS: We included data on 196,717 women with the most recent live birth. About 87% of women reported having at least one ANC contact, but only 30% of women received the recommended care package that includes ANC 4 + contacts, skilled care at birth, and PNC. The proportion of women who had completed the continuum of care ranged from 6.5% in Chad to 69.5% in Sierra Leone. Nearly 9% of women reported not having contact with the health system during pregnancy or childbirth; this ranged from 0.1% in Burundi to 34% in Chad. Disadvantaged women were more likely to have no contact with health systems and less likely to have the recommended care package than women from wealthier households. Women with higher education levels, higher exposure to mass media (radio and TV), and higher household wealth status had higher odds of completing the continuum of care. CONCLUSIONS: Persistent and increasing inequalities were observed along the continuum of care from pregnancy to the postnatal period, with socioeconomically disadvantaged women more likely to drop out of care. Improving access to and integration of services is required to improve maternal health. Initiatives and efforts to improve maternal health should prioritise and address the needs of communities and groups with low coverage of maternal health services.

Incidence of catastrophic health spending in Indonesia: insights from a Household Panel Study 2018-2019.

BACKGROUND: Indonesia implemented one of the world's largest single-payer national health insurance schemes (the Jaminan Kesehatan Nasional or JKN) in 2014. This study aims to assess the incidence of catastrophic health spending (CHS) and its determinants and trends between 2018 and 2019 by which time JKN enrolment coverage exceeded 80%. METHODS: This study analysed data collected from a two-round cross-sectional household survey conducted in ten provinces of Indonesia in February-April 2018 and August-October 2019. The incidence of CHS was defined as the proportion of households with out-of-pocket (OOP) health spending exceeding 10% of household consumption expenditure. Chi-squared tests were used to compare the incidences of CHS across subgroups for each household characteristic. Logistic regression models were used to investigate factors associated with incurring CHS and the trend over time. Sensitivity analyses assessing the incidence of CHS based on a higher threshold of 25% of total household expenditure were conducted. RESULTS: The overall incidence of CHS at the 10% threshold fell from 7.9% to 2018 to 4.4% in 2019. The logistic regression models showed that households with JKN membership experienced significantly lower incidence of CHS compared to households without insurance coverage in both years. The poorest households were more likely to incur CHS compared to households in other wealth quintiles. Other predictors of incurring CHS included living in rural areas and visiting private health facilities. CONCLUSIONS: This study demonstrated that the overall incidence of CHS decreased in Indonesia between 2018 and 2019. OOP payments for health care and the risk of CHS still loom high among JKN members and among the lowest income households. More needs to be done to further contain OOP payments and further research is needed to investigate whether CHS pushes households below the poverty line.

The benefits and burden of health financing in Indonesia: analyses of nationally representative cross-sectional data.

BACKGROUND: Indonesia has committed to deliver universal health coverage by 2024. Reforming the country's health-financing system is key to achieving this commitment. We aimed to evaluate how the benefits and burden of health financing are distributed across income groups and the extent to which Indonesia has achieved equity in the funding and delivery of health care after financing reforms. METHODS: We conducted benefit incidence analyses (BIA) and financing incidence analyses (FIA) using cross-sectional nationally representative data from several datasets. Two waves (Feb 1 to April 30, 2018, and Aug 1 to Oct 31, 2019) of the Equity and Health Care Financing in Indonesia (ENHANCE) study household survey involving 7500 households from ten of the 34 provinces in Indonesia were used to obtain health and socioeconomic status data for the BIA. Two waves (2018 and 2019) of the National Socioeconomic Survey (SUSENAS), the most recent wave (2014) of the Indonesian Family Life Survey, and the 2017 and 2018 National Health Accounts were used to obtain data for the FIA. In the BIA, we calculated a concentration index to assess the distribution of health-care benefits (-1·0 [pro-poor] to 1·0 [pro-rich]), considering potential differences in health-care need. In the FIA, we evaluated the equity of health-financing contributions by socioeconomic quintiles by calculating the Kakwani index to assess the relative progressivity of each financing source. Both the BIA and FIA compared results from early 2018 (baseline) with results from late 2019. FINDINGS: There were 31 864 participants in the ENHANCE survey in 2018 compared with 31 215 in 2019. Women constituted 50·5% and men constituted 49·5% of the total participants for each year. SUSENAS had 1 131 825 participants in 2018 compared with 1 204 466 in 2019. Women constituted 49·9% of the participants for each year, whereas men constituted 51·1%. The distribution of health-care benefits in the public sector was marginally pro-poor; people with low income received a greater proportion of benefits from health services than people with high income between 2018 (concentration index -0·008, 95% CI -0·075 to 0·059) and 2019 (-0·060, -0·139 to 0·019). The benefit incidence in the private health sector was significantly pro-rich in 2018 (0·134, 0·065 to 0·203, p=0·0010) and 2019 (0·190, -0·192 to 0·572, p=0·0070). Health-financing incidence changed from being moderately progressive in 2018 (Kakwani index 0·034, 95% CI 0·030 to 0·038) to mildly regressive in 2019 (-0·030, -0·034 to -0·025). INTERPRETATION: Although Indonesia has made substantial progress in expanding health-care coverage, a lot remains to be done to improve equity in financing and spending. Improving comprehensiveness of benefits will reduce out-of-pocket spending and allocating more funding to primary care would improve access to health-care services for people with low income. FUNDING: UK Health Systems Research Initiative, UK Department of International Development, UK Economic and Social Research Council, UK Medical Research Council, and Wellcome Trust.

Using measures of quality of care to assess equity in health care funding for primary care: analysis of Indonesian household data.

BACKGROUND: Many countries implementing pro-poor reforms to expand subsidized health care, especially for the poor, recognize that high-quality healthcare, and not just access alone, is necessary to meet the Sustainable Development Goals. As the poor are more likely to use low quality health services, measures to improve access to health care need to emphasise quality as the cornerstone to achieving equity goals. Current methods to evaluate health systems financing equity fail to take into account measures of quality. This paper aims to provide a worked example of how to adapt a popular quantitative approach, Benefit Incidence Analysis (BIA), to incorporate a quality weighting into the computation of public subsidies for health care. METHODS: We used a dataset consisting of a sample of households surveyed in 10 provinces of Indonesia in early-2018. In parallel, a survey of public health facilities was conducted in the same geographical areas, and information about health facility infrastructure and basic equipment was collected. In each facility, an index of service readiness was computed as a measure of quality. Individuals who reported visiting a primary health care facility in the month before the interview were matched to their chosen facility. Standard BIA and an extended BIA that adjusts for service quality were conducted. RESULTS: Quality scores were relatively high across all facilities, with an average of 82%. Scores for basic equipment were highest, with an average score of 99% compared to essential medicines with an average score of 60%. Our findings from the quality-weighted BIA show that the distribution of subsidies for public primary health care facilities became less 'pro-poor' while private clinics became more 'pro-rich' after accounting for quality of care. Overall the distribution of subsidies became significantly pro-rich (CI = 0.037). CONCLUSIONS: Routine collection of quality indicators that can be linked to individuals is needed to enable a comprehensive understanding of individuals' pathways of care. From a policy perspective, accounting for quality of care in health financing assessment is crucial in a context where quality of care is a nationwide issue. In such a context, any health financing performance assessment is likely to be biased if quality is not accounted for.

Equity of health financing in Indonesia: A 5-year financing incidence analysis (2015-2019).

BACKGROUND: In 2014, Indonesia launched a single payer national health insurance scheme with the aim of covering the entire population by 2024. The objective of this paper is to assess the equity with which contributions to the health financing system were distributed in Indonesia over 2015 - 2019. METHODS: This study is a secondary analysis of nationally representative data from the National Socioeconomic Survey of Indonesia (2015 - 2019). The relative progressivity of each health financing source and overall health financing was determined using a summary score, the Kakwani index. FINDINGS: Around a third of health financing was sourced from out-of-pocket (OOP) payments each year, with direct taxes, indirect taxes and social health insurance (SHI) each taking up 15 - 20%. Direct taxes and OOP payments were progressive sources of health financing, and indirect tax payments regressive, for all of 2015 - 2019. SHI contributions were regressive except in 2017 and 2018. The overall health financing system was progressive from 2015 to 2018, but this declined year by year and became mildly regressive in 2019. INTERPRETATION: The declining progressivity of the overall health financing system between 2015 - 2019 suggests that Indonesia still has a way to go in developing a fair and equitable health financing system that ensures the poor are financially protected. FUNDING: This study is supported through the Health Systems Research Initiative in the UK, and is jointly funded by the Department of International Development, the Economic and Social Research Council, the Medical Research Council and the Wellcome Trust.

Child vaccination in sub-Saharan Africa: Increasing coverage addresses inequalities.

BACKGROUND: Vaccines have substantially contributed to reducing morbidity and mortality among children, but inequality in coverage continues to persist. In this study, we aimed to examine inequalities in child vaccination coverage in sub-Saharan Africa. METHODS: We analysed Demographic and Health Survey data in 25 sub-Saharan African countries. We defined full vaccination coverage as a child who received one dose of bacille Calmette-Guérin vaccine (BCG), three doses of diphtheria, pertussis, and tetanus vaccine (DTP 3), three oral polio vaccine doses (OPV 3), and one dose of measles vaccine. We used the concentration index (CCI) to measure wealth-related inequality in full vaccination, incomplete vaccination, and zero-dose children within and between countries. We fitted a multilevel regression model to identify predictors of inequality in receipts of full vaccination. RESULTS: Overall, 56.5% (95% CI: 55.7% to 57.3%) of children received full vaccination, 35.1% (34.4% to 35.7%) had incomplete vaccination, while 8.4% (95% CI: 8.0% to 8.8%) of children remained unvaccinated. Full vaccination coverage across the 25 sub-Saharan African countries ranged from 24% in Guinea to 93% in Rwanda. We found pro-rich inequality in full vaccination coverage in 23 countries, except for Gambia and Namibia, where we found pro-poor vaccination coverage. Countries with lower vaccination coverage had higher inequalities suggesting pro-rich coverage, while inequality in unvaccinated children was disproportionately concentrated among disadvantaged subgroups. Four or more antenatal care contracts, childbirth at health facility, improved maternal education, higher household wealth, and frequently listening to the radio increased vaccine uptake. CONCLUSIONS: Continued efforts to improve access to vaccination services are required in sub-Saharan Africa. Improving vaccination coverage and reducing inequalities requires enhancing access to quality services that are accessible, affordable, and acceptable to all. Vaccination programs should target critical social determinants of health and address barriers to better maternal health-seeking behaviour.

Spatial patterns and inequalities in skilled birth attendance and caesarean delivery in sub-Saharan Africa.

BACKGROUND: Improved access to and quality obstetric care in health facilities reduces maternal and neonatal morbidity and mortality. We examined spatial patterns, within-country wealth-related inequalities and predictors of inequality in skilled birth attendance and caesarean deliveries in sub-Saharan Africa. METHODS: We analysed the most recent Demographic and Health Survey data from 25 sub-Saharan African countries. We used the concentration index to measure within-country wealth-related inequality in skilled birth attendance and caesarean section. We fitted a multilevel Poisson regression model to identify predictors of inequality in having skilled attendant at birth and caesarean section. RESULTS: The rate of skilled birth attendance ranged from 24.3% in Chad to 96.7% in South Africa. The overall coverage of caesarean delivery was 5.4% (95% CI 5.2% to 5.6%), ranging from 1.4% in Chad to 24.2% in South Africa. The overall wealth-related absolute inequality in having a skilled attendant at birth was extremely high, with a difference of 46.2 percentage points between the poorest quintile (44.4%) and the richest quintile (90.6%). In 10 out of 25 countries, the caesarean section rate was less than 1% among the poorest quintile, but the rate was more than 15% among the richest quintile in nine countries. Four or more antenatal care contacts, improved maternal education, higher household wealth status and frequently listening to the radio increased the rates of having skilled attendant at birth and caesarean section. Women who reside in rural areas and those who have to travel long distances to access health facilities were less likely to have skilled attendant at birth or caesarean section. CONCLUSIONS: There were significant within-country wealth-related inequalities in having skilled attendant at birth and caesarean delivery. Efforts to improve access to birth at the facility should begin in areas with low coverage and directly consider the needs and experiences of vulnerable populations.

Poor coverage and quality for poor women: Inequalities in quality antenatal care in nine East African countries.

The use of quality antenatal care (ANC) improves maternal and newborn health outcomes. Ensuring equity in access to quality maternal health services is a priority agenda in low- and middle-income countries. This study aimed to assess inequalities in the use of quality ANC in nine East African countries using the most recent Demographic and Health Surveys. We used two outcome variables to examine ANC service adequacy: four or more ANC contacts and quality ANC. We defined quality ANC as having six of the recommended ANC components during follow-up: blood pressure measurement, urine sample test, blood sample test, provision of iron supplements, drug for intestinal parasite and tetanus toxoid injections. We used the concentration index (CCI) to examine inequalities within and across countries. We fitted a multilevel regression model to assess the predictors of inequalities in the contact and content of ANC. This study included 87 068 women; among those 54.4% (n = 47 387) had four or more ANC contacts, but only 21% (n = 15 759) reported receiving all six services. The coverage of four or more ANC and receipt of all six services was pro-rich within and across all countries. The highest inequality in four or more ANC contacts was in Ethiopia with a CCI of 0.209, while women in Burundi had the highest inequality in coverage of all six services (CCI: 0.318). Higher education levels and media exposure were predictors of service uptake, while women who had unintended pregnancies were less likely to make four or more ANC contacts and receive six services. Interventions to improve access to quality ANC require rethinking the service delivery mechanisms in all countries. Moreover, ensuring equity in access to quality ANC requires tailoring service delivery modalities to address the social determinants of service uptake.

Cross-border medical travels from Cambodia: pathways to care, associated costs and equity implications.

In low- and middle-income countries, patients may travel abroad to seek better health services or treatments that are not available at home, especially in regions where great disparities exist between the standard of care in neighbouring countries. While awareness of South-South medical travels has increased, only a few studies investigated this phenomenon in depth from the perspective of sending countries. This article aims to contribute to these studies by reporting findings from a qualitative study of medical travels from Cambodia and associated costs. Data collection primarily involved interviews with Cambodian patients returning from Thailand and Vietnam, conducted in 2017 in the capital Phnom Penh and two provinces, and interviews with key informants in the local health sector. The research findings show that medical travels from Cambodia are driven and shaped by an interplay of socio-economic, cultural and health system factors at different levels, from the effects of regional trade liberalization to perceptions about the quality of care and the pressure of relatives and other advisers in local communities. Furthermore, there is a diversity of medical travels from Cambodia, ranging from first class travels to international hospitals in Bangkok and cross-border 'medical tourism' to perilous overland journeys of poor patients, who regularly resort to borrowing or liquidating assets to cover costs. The implications of the research findings for health sector development and equitable access to care for Cambodians deserve particular attention. To some extent, the increase in medical travels can stimulate improvements in the quality of local health services. However, concerns remain that these developments will mainly affect high-cost private services, widening disparities in access to care between population groups.

Evaluating Equity in Health Financing Using Benefit Incidence Analysis: A Framework for Accounting for Quality of Care.

Equity in health care financing has gained increased attention in low- and middle-income countries (LMICs) following the renewed global interest in universal health coverage (UHC), a key component of the sustainable development goals (SDGs). UHC requires that people have access to the health services they need without risking financial hardship. Health financing is central to UHC and many LMICs have initiated reforms to align their health financing systems with the goals of UHC. Evaluation of the equity impact of these reforms has become a growing area of research, especially in countries with large health inequalities where the pressure to move towards UHC is most intense and the need for evidence to inform policy most critical. However, current analytical tools for evaluating equity in health financing conspicuously exclude indicators of quality, an important dimension of UHC. The aim of this paper was to address this critical methodological gap by introducing quality scores into benefit incidence analysis (BIA), one of the key techniques for assessing equity in health financing. BIA measures the extent to which different socioeconomic groups benefit from public spending on health care through their use of health services. The benefit (public subsidy) is captured in monetary terms by multiplying the quantity of a particular health service consumed by the unit cost of that service and subtracting any out-of-pocket costs incurred while using the service. It does not account for variations in the quality of health services in the computation of the public subsidy.

Exploring the determinants of distress health financing in Cambodia.

Borrowing is a common coping strategy for households to meet healthcare costs in countries where social health protection is limited or non-existent. Borrowing with interest, hereinafter termed distress health financing or distress financing, can push households into heavy indebtedness and exacerbate the financial consequences of healthcare costs. We investigated distress health financing practices and associated factors among Cambodian households, using primary data from a nationally representative household survey of 5000 households. Multivariate logistic regression was used to determine factors associated with distress health financing. Results showed that 28.1% of households consuming healthcare borrowed to pay for that healthcare with 55% of these subjected to distress financing. The median loan was US$125 (US$200 for loans with interest and US$75 for loans without interest). Approximately 50.6% of healthcare-related loans were to pay for the costs of outpatient care in the past month, 45.8% for inpatient care and 3.6% for preventive care in the past 12 months. While the average period to pay off the loan was 8 months, 78% of households were still indebted from loans taken over 12 months before the survey. Distress financing is strongly associated with household poverty-the poorer the household the more likely it is to borrow, fall into debt and unable to pay off the debt-even for members of the health equity funds, a national scheme designed to improve financial access to health services for the poor. Other determinants of distress financing were household size, use of inpatient care and outpatient consultations with private providers or with both private and public providers. In order to ensure effective financial risk protection, Cambodia should establish a more comprehensive and effective social health protection scheme that provides maximum population coverage and prioritizes services for populations at risk of distress financing, especially poorer and larger households.

Who benefits from healthcare spending in Cambodia? Evidence for a universal health coverage policy.

Cambodia's healthcare system has seen significant improvements in the last two decades. Despite this, access to quality care remains problematic, particularly for poor rural Cambodians. The government has committed to universal health coverage (UHC) and is reforming the health financing system to align with this goal. The extent to which the reforms have impacted the poor is not always clear. Using a system-wide approach, this study assesses how benefits from healthcare spending are distributed across socioeconomic groups in Cambodia. Benefit incidence analysis was employed to assess the distribution of benefits from health spending. Primary data on the use of health services and the costs associated with it were collected through a nationally representative cross-sectional survey of 5000 households. Secondary data from the 2012-14 Cambodia National Health Accounts and other official documents were used to estimate the unit costs of services. The results indicate that benefits from health spending at the primary care level in the public sector are distributed in favour of the poor, with about 32% of health centre benefits going to the poorest population quintile. Public hospital outpatient benefits are quite evenly distributed across all wealth quintiles, although the concentration index of -0.058 suggests a moderately pro-poor distribution. Benefits for public hospital inpatient care are substantially pro-poor. The private sector was significantly skewed towards the richest quintile. Relative to health need, the distribution of total benefits in the public sector is pro-poor while the private sector is relatively pro-rich. Looking across the entire health system, health financing in Cambodia appears to benefit the poor more than the rich but a significant proportion of spending remains in the private sector which is largely pro-rich. There is the need for some government regulation of the private sector if Cambodia is to achieve its UHC goals.

Determinants of post-migration changes in dietary and physical activity behaviours and implications for health promotion: Evidence from Australian residents of sub-Saharan African ancestry.

ISSUE ADDRESSED: Several studies have attributed excess weight gain after immigration to changes in dietary and physical activity behaviours. However, recognising the main factors that influence post-migration changes in dietary and physical activity behaviours is less clear, particularly among Australian residents of sub-Saharan African (SSA) ancestry. Drawing on acculturation theory, this study examines main factors driving changes in dietary and physical activity behaviours among Australian residents who were born in SSA and provides insight into the extent to which the factors are related to immigration. METHODS: A qualitative design based on a phenomenological approach was employed and a quota sampling technique was used to recruit 24 study participants for in-depth interviews. RESULTS: The study found significant self-reported changes in dietary and physical activity behaviours after immigration that increase the risk of excess weight gain. The changes in dietary and physical activity behaviours were mainly driven by issues related to availability, accessibility and affordability of dietary and physical activity products. Time management and factors related to convenience also emerged as key determinants of change in dietary and physical activity behaviours. Apparently, some factors noted by participants shape dietary and physical activity behaviours irrespective of immigration, and these factors include: tastes and cravings for foods; friends and family influence on behaviour; and misconceptions about food and exercise. CONCLUSION: Migration from SSA to Australia contributed to changes (mainly less healthy) in dietary and physical activity behaviours. To a large extent, post-migration changes in dietary and physical activity behaviours were driven by socio-economic and environmental factors. SO WHAT?: Health promotion programs that address the risky behaviours associated with excess weight gain among Australian residents of SSA ancestry should pay more attention to socio-economic and environmental factors.

An evaluation of health systems equity in Indonesia: study protocol.

BACKGROUND: Many low and middle income countries are implementing reforms to support Universal Health Coverage (UHC). Perhaps one of the most ambitious examples of this is Indonesia's national health scheme known as the JKN which is designed to make health care available to its entire population of 255 million by end of 2019. If successful, the JKN will be the biggest single payer system in the world. While Indonesia has made steady progress, around a third of its population remains without cover and out of pocket payments for health are widespread even among JKN members. To help close these gaps, especially among the poor, the Indonesian government is currently implementing a set of UHC policy reforms that include the integration of remaining government insurance schemes into the JKN, expansion of provider networks, restructuring of provider payments systems, accreditation of all contracted health facilities and a range of demand side initiatives to increase insurance uptake, especially in the informal sector. This study evaluates the equity impact of this latest set of UHC reforms. METHODS: Using a before and after design, we will evaluate the combined effects of the national UHC reforms at baseline (early 2018) and target of JKN full implementation (end 2019) on: progressivity of the health care financing system; pro-poorness of the health care delivery system; levels of catastrophic and impoverishing health expenditure; and self-reported health outcomes. In-depth interviews with stakeholders to document the context and the process of implementing these reforms, will also be undertaken. DISCUSSION: As countries like Indonesia focus on increasing coverage, it is critically important to ensure that the poor and vulnerable - who are often the most difficult to reach - are not excluded. The results of this study will not only help track Indonesia's progress to universalism but also reveal what the UHC-reforms mean to the poor.

How to do (or not to do) a health financing incidence analysis.

Financing incidence analysis (FIA) assesses how the burden of health financing is distributed in relation to household ability to pay (ATP). In a progressive financing system, poorer households contribute a smaller proportion of their ATP to finance health services compared to richer households. A system is regressive when the poor contribute proportionately more. Equitable health financing is often associated with progressivity. To conduct a comprehensive FIA, detailed household survey data containing reliable information on both a cardinal measure of household ATP and variables for extracting contributions to health services via taxes, health insurance and out-of-pocket (OOP) payments are required. Further, data on health financing mix are needed to assess overall FIA. Two major approaches to conducting FIA described in this article include the structural progressivity approach that assesses how the share of ATP (e.g. income) spent on health services varies by quantiles, and the effective progressivity approach that uses indices of progressivity such as the Kakwani index. This article provides some detailed practical steps for analysts to conduct FIA. This includes the data requirements, data sources, how to extract or estimate health payments from survey data and the methods for assessing FIA. It also discusses data deficiencies that are common in many low- and middle-income countries (LMICs). The results of FIA are useful in designing policies to achieve an equitable health system.

System-wide analysis of health financing equity in Cambodia: a study protocol.

BACKGROUND: To assess progress towards universal health coverage, countries like Cambodia require evidence on equity in the financing and distribution of healthcare benefits. This evidence must be based on a system-wide perspective that recognises the complex roles played by the public and private sectors in many contemporary healthcare systems. OBJECTIVE: To undertake a system-wide assessment of who pays and who benefits from healthcare in Cambodia and to understand the factors influencing this. METHODS: Financing and benefit incidence analysis will be used to calculate the financing burden and distribution of healthcare benefits across socioeconomic groups. Data on healthcare usage, living standards and self-assessed health status will be derived from a cross-sectional household survey designed for this study involving a random sample of 5000 households. This will be supplemented by secondary data from the Cambodian National Health Accounts 2014 and the Cambodian Socioeconomic Survey (CSES) 2014. We will also collect qualitative data through focus group discussions and in-depth interviews to inform the interpretation of the quantitative analyses. POTENTIAL IMPACT: This study will produce previously unavailable information on who pays for, and who benefits from, health services across the entire health system of Cambodia. This evidence comes at a critical juncture in healthcare reform in South-East Asia with so many countries seeking guidance on the equity impact of their current financing arrangements that include a complex mix of public and private providers.

Financing for universal health coverage in small island states: evidence from the Fiji Islands.

BACKGROUND: Universal health coverage (UHC) is critical to global poverty alleviation and equity of health systems. Many low-income and middle-income countries, including small island states in the Pacific, have committed to UHC and reforming their health financing systems to better align with UHC goals. This study provides the first comprehensive evidence on equity of the health financing system in Fiji, a small Pacific island state. The health systems of such states are poorly covered in the international literature. METHODS: The study employs benefit and financing incidence analyses to evaluate the distribution of health financing benefits and burden across the public and private sectors. Primary data from a cross-sectional survey of 2000 households were used to assess healthcare benefits and secondary data from the 2008-2009 Fiji Household Income and Expenditure Survey to assess health financing contributions. These were analysed by socioeconomic groups to determine the relative benefit and financing incidence across these groups. FINDINGS: The distribution of healthcare benefits in Fiji slightly favours the poor-around 61% of public spending for nursing stations and 26% of spending for government hospital inpatient care were directed to services provided to the poorest 20% of the population. The financing system is significantly progressive with wealthier groups bearing a higher share of the health financing burden. CONCLUSIONS: The healthcare system in Fiji achieves a degree of vertical equity in financing, with the poor receiving a higher share of benefits from government health spending and bearing a lower share of the financing burden than wealthier groups.