Benefit Incidence Analysis Research Articles

Which socio-economic groups benefit most from public health expenditure in Senegal? A dynamic benefit incidence analysis

Despite efforts to enhance public investment in Senegal’s health sector, the equitable distribution of benefits between socioeconomic groups remains largely unexplored. To address this gap, our study examines the progressive (or regressive) nature of public health expenditure. Utilizing data from the latest survey on household living conditions (2018–2019) in conjunction with administrative data on health expenditure from the same period (provided by the Ministry of Health of Senegal), we performed a benefit incidence analysis. This entailed segmenting the population by poverty quintiles and subsequently estimating how each group utilized and benefitted from public health expenditure, according to level of care and geographical location. Additionally, we performed a marginal benefit analysis to discern the impact of an increase in public health expenditure on various socioeconomic groups. Our findings unveil a pro-rich distribution of benefits at both primary healthcare and hospital levels, observable both at national and regional levels. Moreover, disparities in the distribution of resource allocation between Senegal's 14 administrative regions were observed. Ultimately, our results indicate that under prevailing conditions, increasing public health expenditure would not yield a pro-poor distribution of benefits. Therefore, our research underscores the imperative of better targeting populations for greater equity between regions and social groups.

Energy subsidies: conceptual framework and measurement for distributional impacts in Argentina

Argentina has massively subsidized energy in recent decades, and the distributional impacts of those subsidies has been widely studied. However, regional disparities and public financing are two dimensions often omitted by previous research. We extend the analysis in these directions, focusing on the electricity sector. First, we develop a conceptual framework to formalize the deviation of prices from production costs. Second, by applying the “benefit incidence analysis” to household survey microdata, we measure subsidies at the household level and perform a distributional analysis. Our results indicate that regional disparities in electricity distribution costs and in the pricing schedules set by distribution companies are key drivers of the distributional impacts. Subsidies, as a percentage of the final price, vary between regions in the range of 50 to 80 percent. Additionally, omitting public financing leads to a bias in the perception of their redistributive effect: when subsidies are financed by a general consumption tax, the net benefits are less than half of the benefits from the subsidy alone. A series of globally relevant policy recommendations can be derived from the paper.

Adjusting for quality of care in primary health care utilization and benefits in Bihar, India: A Benefit Incidence Analysis

India’s public health policies prioritize the least wealthy and vulnerable. Additionally, for Primary Health Care (PHC) to achieve equitable health outcomes, all must receive high-quality care. This study determined equality of utilization and benefit incidence of PHC services across socioeconomic (SE) groups in Bihar, with and without adjusting for quality of care. It used secondary data from linked PHC facility and household surveys in Bihar that included information on PHC facility utilization, quality of care and household expenditure patterns. Lorenz curves and concentration indices were constructed to examine relative distribution of utilization and benefits from public sector PHC services by SE status, before and after adjusting for quality of care using quality weights. We found that relative distribution of public sector PHC utilization, total and net benefits was statistically no different from perfect equality. With quality weights, utilization and benefits of PHC facilities in Bihar were slightly more pro-rich but statistically no different from perfect equality. The wealthiest do not disproportionately benefit from public sector PHC facilities, but neither do the least wealthy.In conclusion, relative utilization and benefits of public sector PHC facilities were equally distributed across socioeconomic groups in Bihar. Benefits from public sector PHC facilities are not disproportionately concentrated among the least wealthy in the community. As the Ayushman-Bharat Health and Wellness Centers are strengthened to improve public sector PHC services, it would be important to target its benefits towards the least wealthy by ensuring services are accessible and amenable.

Benefit Incidence Analysis terhadap Program Bidikmisi di Universitas Diponegoro

ABSTRACTOne of the ways to improve the quality of human resources is by providing educational assistance programs for students who wish to continue their education to higher education. Bidikmisi is one of the scholarship programs provided by the government in helping prospective students, especially those who are less fortunate, to pursue higher education.This study focuses on analyzing the impact of the application of the Bidikmisi scholarship using the Benefit Incidence Analysis (BIA) method. The data used in this study are primary data. Data was collected using a survey method through questionnaires distributed to Bidikmisi students who were the sample. The sample used is Bidikmisi students with active status at Diponegoro University from class 2017, 2018 and 2019.The results of this study indicate that the Bidikmisi program at Diponegoro University is a progressive policy. The university as the organizer of the bidikmisi program is considered appropriate in providing the obligations of bidikmisi recipients to bidikmisi students at Diponegoro University. The group of students with the lowest level of parental income gets a 33 percent distribution of benefits from the Bidikmisi program funds. The concentration curve lies above the 45 degree diagonal line, so the 10 percent of students with the lowest income level (first quintile) in the population receive more than 10 percent of the benefits of the subsidy so that the distribution of benefits can be said to be progressive in absolute terms.

Mapping the Socio-Economic Inequalities among Children Aged 0-5 Years in India: A Benefit Incidence Analysis of Universal Immunization Programme

Mapping the Socio-Economic Inequalities among Children Aged 0-5 Years in India: A Benefit Incidence Analysis of Universal Immunization Programme

Are institutional deliveries equitable in the southern states of India? A benefit incidence analysis

BackgroundDespite a commendable rise in the number of women seeking delivery care at public health institutions in South India, it is unclear if the benefit accrues to wealthier or poorer socio-economic groups. The study’s aim was to investigate at how the public subsidy is distributed among Indian women who give birth in public hospitals in the southern regions.MethodsData from the Indian Demographic Health Survey’s fifth wave (NFHS-5, 2019–21) was used in this study. A total of 22, 403 were institutional deliveries across all the southern states of India were included. Out-of-pocket expenditure (OOPE) on childbirth in health institutions was the outcome variable. We used summary statistics, Benefits Incidence Analysis (BIA), concentration index (CI), and concentration curve (CC) were used.ResultsMost women in the lowest, poorest, and medium quintiles of wealth opted to give birth in public facilities. In contrast, about 69% of mothers belonging to highest quintile gave birth in private health institutions. The magnitude of CI and CC of institutional delivery indicates that public sector usage was concentrated among poorer quintiles [CIX: − 0.178; SE: 0.005; p < 0.001] and private sector usage was concentrated among wealthier quintiles [CIX: 0.239; SE: 0.006; p < 0.001]. Benefit incidence analyses suggest that middle quintile of women received the maximum public subsidy in primary health centres (33.23%), followed by richer quintile (25.62%), and poorer wealth quintiles (24.84%). These pattern in the secondary health centres was similar.ConclusionPoorer groups utilize the public sector for institutional delivery in greater proportions than the private sector. Middle quintiles seem to benefit the most from public subsidy in terms of the median cost of service and non-payment. Greater efforts must be made to understand how and why these groups are being left behind and what policy measures can enhance their inclusion and financial risk protection.

The redistributive effect ofthe public health system: the case ofSierra Leone.

Universal health coverage (UHC), health equity and reduction of income inequalities are key objectives for the Sierra Leone government. While investing in health systems may drive economic growth, it is less clear whether investing in health systems reduces income inequality. Therefore, a crucial issue is to what extent the Sierra Leone public healthcare system reduces income inequality, and finances and provides healthcare services equitably. We use data from the Sierra Leone Integrated Household Survey 2018 to complete a financing and benefit incidence analysis of the Sierra Leone public healthcare system. We extend these analyses by assessing the redistributive effect of the public healthcare system (i.e.fiscal incidence analysis). We compute the redistributive effect as the change in Gini index induced by the payments for, and provision of, public healthcare services. The financing incidence of the Sierra Leone public healthcare system is marginally progressive (i.e.Kakwani index: 0.011*, P-value <0.1). With regard to public healthcare benefits, while primary healthcare (PHC) benefits are pro-poor, secondary/tertiary benefits are pro-rich. The result is that overall public healthcare benefits are equally distributed (concentration index (CI): 0.008, not statistically different from zero). However, needs are concentrated among the poor, so benefits are pro-rich when needs are considered. We find that the public healthcare system redistributes resources from better-off quintiles to worse-off quintiles (Gini coefficient reduction induced by public healthcare system = 0.5%). PHC receives less financing than secondary/tertiary care but delivers a larger reduction in income inequality. The Sierra Leone public healthcare system redistributes resources and reduces income inequality. However, the redistributive effect occurs largely thanks to PHC services being markedly pro-poor, and the Sierra Leone health system could be more equitable. Policy-makers interested in improving Sierra Leone public health system equity and reducing income inequalities should prioritize PHC investments.

Health care service use by people diagnosed with invasive melanoma in Queensland: a benefit incidence analysis.

To quantify differences, by residential remoteness and socio-economic status, in health care service use by people diagnosed with invasive melanoma in Queensland. Benefit incidence analysis of CancerCostMod data, comprising Queensland Cancer Registry data linked with Queensland Hospital Admitted Patient Data Collection (QHAPDC), Medicare Benefits Schedule (MBS), and Pharmaceutical Benefits Scheme (PBS) data. Adults (18 years or older) newly diagnosed with invasive melanoma in Queensland during 1 July 2011 - 31 June 2015 and alive three years after diagnosis. Concentration curves and indices quantifying differences by residential postcode-based remoteness (Australian Statistical Geography Standard - Remoteness Area) and socio-economic disadvantage (Index of Relative Socioeconomic Disadvantage) in hospital admissions (overall and by type) and use of MBS (overall and by type) and PBS services during the three years following diagnosis of invasive melanoma. A total of 13 145 adults diagnosed with invasive melanoma during 2011-15 were alive three years after the diagnosis. Public hospital admissions were more frequent for people living in areas of greater socio-economic disadvantage (concentration index, -0.15; 95% confidence interval [CI], -0.19 to -0.12) or outside major cities (concentration index, -0.10; 95% CI, -0.13 to -0.06); private hospital admissions (concentration index, 0.11; 95% CI, 0.07-0.15) and specialist consultations (concentration index, 0.08; 95% CI, 0.07-0.10) were more frequent in areas of lesser disadvantage and in major cities (private hospital admissions: 0.10; 95% CI, 0.06-0.13; specialist services: 0.07; 95% CI, 0.06-0.09). Differences in other melanoma health care service use by residential remoteness and socio-economic disadvantage were not statistically significant. Variation in health care service use by Queenslanders with primary diagnoses of invasive melanoma by residential socio-economic disadvantage and remoteness were generally minor. Our analysis suggests that access to health care for people with melanoma is fairly equitable in Queensland.

Equity assessment of maternal and child healthcare benefits utilization and distribution in public healthcare facilities in Bangladesh: a benefit incidence analysis

BackgroundThe distribution of healthcare services should be based on the needs of the population, regardless of their ability to pay. Achieving universal health coverage implies first ensuring that people of all income levels have access to quality healthcare, and then allocating resources reasonably considering individual need. Hence, this study aims to understand how public benefits in Bangladesh are currently distributed among wealth quintiles considering different layers of healthcare facilities and to assess the distributional impact of public benefits.MethodsTo conduct this study, data were extracted from the recent Bangladesh Demographic and Health Survey 2017–18. We performed benefit incidence analysis to determine the distribution of maternal and child healthcare utilization in relation to wealth quintiles. Disaggregated and national-level public benefit incidence analysis was conducted by the types of healthcare services, levels of healthcare facilities, and overall utilization. Concentration curves and concentration indices were estimated to measure the equity in benefits distribution.ResultsAn unequal utilization of public benefits observed among the wealth quintiles for maternal and child healthcare services across the different levels of healthcare facilities in Bangladesh. Overall, upper two quintiles (richest 19.8% and richer 21.7%) utilized more benefits from public facilities compared to the lower two quintiles (poorest 18.9% and poorer 20.1%). Benefits utilization from secondary level of health facilities was highly pro-rich, while benefit utilization found pro-poor at primary levels. The public benefits in Bangladesh were also not distributed according to the needs of the population; nevertheless, poorest 20% household cannot access 20% share of public benefits in most of the maternal and child healthcare services even if we ignore their needs.ConclusionsBenefit incidence analysis in public health spending demonstrates the efficacy with which the government allocates constrained health resources to satisfy the needs of the poor. Public health spending in Bangladesh on maternal and child healthcare services were not equally distributed among wealth quintiles. Overall health benefits were more utilized by the rich relative to the poor. Hence, policymakers should prioritize redistribution of resources by targeting the socioeconomically vulnerable segments of the population to increase their access to health services to meet their health needs.

EE493 Equity in Healthcare Utilization and Reimbursement for Patients with Multiple Sclerosis in China: A Benefit Incidence Analysis Using Nationwide Patient-Reported Outcome Data

Multiple sclerosis (MS) is a chronic, autoimmune neurologic disorder resulting in substantial economic burden. With cost of illness research on MS being extensively studied worldwide, however, little is known about the equity concern of utilization and reimbursement. This study aimed to evaluate the distribution of utilization, cost, and reimbursement received by MS patients with different socio-economic status (SES) in China.

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

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. 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. 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). 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. UK Health Systems Research Initiative, UK Department of International Development, UK Economic and Social Research Council, UK Medical Research Council, and Wellcome Trust.

ANALISIS PEMBAGIAN MANFAAT DANA BANTUAN OPERASIONAL SEKOLAH (BOS) TAHUN 2018 DI KOTA SEMARANG

BOS is a government program that aims to ease the burden on the community on education funding for quality compulsory education. This study aims to determine the distribution of benefits, the amount of average benefits and progress of the BOS subsidies among school groups based on the level of acceptance in Semarang City in 2018. This study uses Benefit Incidence Analysis (BIA) analysis techniques to see the distribution of benefits in the BOS subsidies at each level of education by combining data from the number of BOS subsidy recipients and the amount of BOS funds received at each level of education. The BIA results obtained are then interpreted in the Lorenz Curve (Lorenz Curve) to see the progress of the BOS subsidy policy. The distribution of the benefits of BOS spending for public SD, SMP and SMA is mostly enjoyed by the highest group. The distribution of benefits received by the first quintile of schools (schools with the fewest students) is less than 20% of the total BOS subsidies at each level of education. Inequality mainly occurs at primary school levels because the Lorentz curve moves away from the equalization line. Meanwhile, the education levels for SMP and SMA are relatively more even.

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

BackgroundMany 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.MethodsWe 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.ResultsQuality 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).ConclusionsRoutine 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.

Which Demographic Quintile Benefits from Public Health Expenditure in Nigeria: A Marginal Benefit Analysis

Policymakers concur that social investments are crucial, and that inequality must be decreased to accomplish long-term poverty reduction. Nigeria, one of the 20 poorest countries in the world, has a severely unequal society at the moment, with over 80% of the people living in deep, severe, and pervasive poverty, with an estimated 5% of the population possessing 85% of the country’s resources. This article’s focus is on how benefits are dispersed among various demographic groups. Previous data collection does not reflect the present realities of this topic. For this analysis, in southeast Nigeria, data sets from government agencies and for-profit service providers were utilized. The benefits of distinct quintiles were estimated using a marginal benefit incidence analysis. The results show that governmental spending in Nigeria is not pro-poor and that the country’s southeast governments supported spending for the wealthy rather than the poor. The results show, among other things, that investment in health is not well directed; benefits from primary education and primary healthcare appear to be disproportionately dispersed to the upper class in the states studied, as they are throughout Nigeria. The paper serves as an example of the value of benefit incidence analysis (BIA). This article recommends effective targeted discretionary spending to lower systemic poverty and inequality. If education and health spending were more pro-poor, better education and health outcomes, strong governance, high per capita income, and wider access to information would all be more likely.

Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia

BackgroundZambia has invested in several healthcare financing reforms aimed at achieving universal access to health services. Several evaluations have investigated the effects of these reforms on the utilization of health services. However, only one study has assessed the distributional incidence of health spending across different socioeconomic groups, but without differentiating between public and overall health spending and between curative and maternal health services. Our study aims to fill this gap by undertaking a quasi-longitudinal benefit incidence analysis of public and overall health spending between 2006 and 2014.MethodsWe conducted a Benefit Incidence Analysis (BIA) to measure the socioeconomic inequality of public and overall health spending on curative services and institutional delivery across different health facility typologies at three time points. We combined data from household surveys and National Health Accounts.ResultsResults showed that public (concentration index of − 0.003; SE 0.027 in 2006 and − 0.207; SE 0.011 in 2014) and overall (0.050; SE 0.033 in 2006 and − 0.169; SE 0.011 in 2014) health spending on curative services tended to benefit the poorer segments of the population while public (0.241; SE 0.018 in 2007 and 0.120; SE 0.007 in 2014) and overall health spending (0.051; SE 0.022 in 2007 and 0.116; SE 0.007 in 2014) on institutional delivery tended to benefit the least-poor. Higher inequalities were observed at higher care levels for both curative and institutional delivery services.ConclusionOur findings suggest that the implementation of UHC policies in Zambia led to a reduction in socioeconomic inequality in health spending, particularly at health centres and for curative care. Further action is needed to address existing barriers for the poor to benefit from health spending on curative services and at higher levels of care.

Mekaar Program Evaluation in Micro-enterprises Development for Underprivileged Women in Kutasari, Baturraden District

This research was conducted in the Kutasari Village, Baturraden District, Banyumas Regency, Central Java Province. The purpose of this study to analyze (1) The accuracy of the Mekaar program in achieving its targets, (2) The characteristics of the Mekaar program's policies in giving an impact on underprivileged women micro-entrepreneurs in Kutasari Village, Baturraden District (Pro-poor, progressive or regressive), (3) T he effectiveness of the Mekaar Program in Kutasari Village, Baturraden District, (4) Measuring the difference in income of women micro-entrepreneurs in Kutasari Village, Baturraden District before and after receiving Mekaar financing. The number of respondents consisted of 30 underprivileged women. This research uses primary data, which were collected using the method of observation, interviews and questionnaires. The data obtained were then analyzed using data proportion techniques, Benefit Incidence Analysis (BIA), Appraisal Effectiveness Program and Wilcoxon Test. Based on the research results, the following conclusions can be drawn: (1) Mekaar Program in Kutasari Village, Baturraden District is right on target, (2) Mekaar Program in Kutasari Village, Baturraden District is Pro-poor, (3) Mekaar Program in Kutasari Village, Baturraden District is classified as effective, (4) There is a difference between operating income before and after obtaining Mekaar financing. Keywords : Underprivileged Women, Mekaar, Benefit Incidence

Have lower-income groups benefited more from increased government health insurance subsidies? Benefit incidence analysis in Ningxia, China.

China's government subsidies on the demand side-such as subsidizing medical insurance premiums-have accelerated progress towards universal health coverage. We examined whether the increased government subsidies had benefited the population, especially the poor. We conducted two rounds of household surveys and collected the annual claims reports of a rural medical insurance scheme in Ningxia (a relatively underdeveloped region in Western China). We used benefit incidence analysis to evaluate the distribution of benefits for different health services received by individuals with different living standards, as measured by the household wealth index. From 2009 to 2015, the benefit received per capita tripled from 101 to 332 CNY, most (>94%) of which was received for inpatient care. The overall distribution of benefits improved and became pro-poor in 2015 [the concentration index (CI) changed from -0.017 to -0.092], mainly driven by inpatient care. The poorer groups benefited disproportionately more from inpatient care from 2009 to 2015 (the CI changed from -0.013 to -0.093). County and higher-level inpatient care had the greatest improvements towards a pro-poor distribution. The distribution of subsidies for outpatient services significantly favoured the poorer groups in 2009, but less so in 2015 (CI changed from -0.093 to -0.068), and it became less pro-poor in village clinics (CI changed from -0.209 to -0.020). The increased government subsidies for the rural medical insurance scheme mainly contributed to inpatient care and allowed the poor to use more services at county and higher-level hospitals. China's government subsidies on the demand side have contributed to equity in benefit incidence, yet there is a noticeable increasing trend in utilizing services at higher levels of providers. Our findings also indicate that outpatient services need more coverage from rural medical insurance schemes to improve equity.

Equity assessment of childhood immunisation at national and subnational levels in Myanmar: a benefit incidence analysis

IntroductionMyanmar, a conflict-affected geographically and ethnically diverse lower middle-income country, was in the donor transition phase for health prior to the political unrest of the last year. This study analyses...

Who benefits from tuberculosis outpatient services in Enugu state, Nigeria? A benefit incidence analysis.

Nigeria is one of the 30 high-burden countries for TB and currently, recurrent costs of TB treatment services are largely dependent on donor-funding, with government providing the health facilities. This study aims to assess the benefit incidence of TB treatment services so as to determine if the poor and rural dwellers preferentially benefit from such services that were subsidized by government and donors. A survey of patients (n= 202) accessing TB treatment services was conducted between 2019 and 2020 in five purposively selected rural and urban health facilities in Enugu state. Socio-economic status (SES) was estimated using household assets ownership. Benefits of TB services were measured by multiplying the unit cost of utilization of different services while the net benefit was calculated by subtracting out-of-pocket (OOP) payments incurred from the benefits. We estimated the benefit for 1month and the benefit for the whole TB treatment course (6months). Concentration index was used to determine the level of equity in spending across the socio-economic quintiles. 56.4% of the respondents were from urban facilities. 100% had used TB drugs in the past months, 73% had undergone a Gene-Xpert test, and 67% had had a consultation. All patients received TB drugs without OOP payment, but 90% paid for X-ray. Urban respondents captured a disproportionally higher share of benefit from TB services. The concentration index was -0.025 for net benefit from TB services across different quintiles, indicating the pro-poor distribution of TB services in Nigeria. The benefit from TB services had a pro-poor distribution, but urban respondents obtained a disproportionally higher share of gross and net benefit from TB services. Funding for TB services needs to be secured to promote the equitable access to TB services.

Are cesarean deliveries equitable in India: assessment using benefit incidence analysis

BackgroundIn the last two decades, cesarean section (CS) deliveries in India have increased by six-fold and created economic hardship for families and households. Although several schemes and policies under the National Health Mission (NHM) have reduced the inequality in the use of maternal care services in India, the distributive effect of public health subsidies on CS deliveries remains unclear. In this context, this paper examines the usage patterns of CS delivery and estimates the share of public health subsidies on CS deliveries among mothers by different background characteristics in India.DataData from the fourth round of the National Family Health Survey (NFHS-4) was used for the study. Out-of-pocket (OOP) payment for CS delivery was used as a dependent variable and was analyzed by level of care that is, primary (PHC, UHC, other) and secondary (government/municipal, rural hospital). Descriptive statistics, binary logistic regression, benefit incidence analysis, concentration curve and concentration index were used for the analysis.ResultsA strong economic gradient was observed in the utilization of CS delivery from public health facilities. Among mothers using any public health facility, 23% from the richest quintile did not pay for CS delivery compared to 13% from the poorest quintile. The use of the public subsidy among mothers using any type of public health facility for CS delivery was pro-rich in nature; 9% in the poorest quintile, 16.1% in the poorer, 24.5% in the middle, 27.5% among richer and 23% in the richest quintile. The pattern of utilization and distribution of public subsidy was similar across the primary and secondary health facilities but the magnitude varied. The findings from the benefit-incidence analysis are supported by those obtained from the inequality analysis. The concentration index of CS was 0.124 for public health centers and 0.291 for private health centers. The extent of inequality in the use of CS delivery in public health centers was highest in the state of Mizoram (0.436), followed by Assam (0.336), and the lowest in Tamil Nadu (0.060), followed by Kerala (0.066).ConclusionThe utilization of CS services from public health centers in India is pro-rich. Periodically monitoring and evaluating of the cash incentive schemes for CS delivery and generating awareness among the poor would increase the use of CS delivery services in public health centers and reduce the inequality in CS delivery in India.