Progress towards universal health coverage and inequalities in infant mortality: an analysis of 4·1 million births from 60 low-income and middle-income countries between 2000 and 2019.

BACKGROUND: Expanding universal health coverage (UHC) might not be inherently beneficial to poorer populations without the explicit targeting and prioritising of low-income populations. This study examines whether the expansion of UHC between 2000 and 2019 is associated with reduced socioeconomic inequalities in infant mortality in low-income and middle-income countries (LMICs). METHODS: We did a retrospective analysis of birth data compiled from Demographic and Health Surveys (DHSs). We analysed all births between 2000 and 2019 from all DHSs available for this period. The primary outcome was infant mortality, defined as death within 1 year of birth. Logistic regression models with country and year fixed effects assessed associations between country-level progress to UHC (using WHO's UHC service coverage index) and infant mortality (overall and by wealth quintile), adjusting for infant-level, mother-level, and country-level variables. FINDINGS: A total of 4 065 868 births to 1 833 011 mothers were analysed from 177 DHSs covering 60 LMICs between 2000 and 2019. A one unit increase in the UHC index was associated with a 1·2% reduction in the risk of infant death (AOR 0·988, 95% CI 0·981-0·995; absolute measure of association, 0·57 deaths per 1000 livebirths). An estimated 15·5 million infant deaths were averted between 2000 and 2019 because of increases in UHC. However, richer wealth quintiles had larger associated reductions in infant mortality from UHC (quintile 5 AOR 0·983, 95% CI 0·973-0·993) than poorer quintiles (quintile 1 0·991, 0·985-0·998). In the early stages of UHC, UHC expansion was generally beneficial to poorer populations (ie, larger reductions in infant mortality for poorer households [infant deaths per 1000 per one unit increase in UHC coverage: quintile 1 0·84 vs quintile 5 0·59]), but became less so as overall coverage increased (quintile 1 0·64 vs quintile 5 0·57). INTERPRETATION: Since UHC expansion in LMICs appears to become less beneficial to poorer populations as coverage increases, UHC policies should be explicitly designed to ensure lower income groups continue to benefit as coverage expands. FUNDING: UK National Institute for Health and Care Research.

The inverse care law re-examined: a global perspective.

An inverse care law persists in almost all low-income and middle-income countries, whereby socially disadvantaged people receive less, and lower-quality, health care despite having greater need. By contrast, a disproportionate care law persists in high-income countries, whereby socially disadvantaged people receive more health care, but of worse quality and insufficient quantity to meet their additional needs. Both laws are caused not only by financial barriers and fragmented health insurance systems but also by social inequalities in care seeking and co-investment as well as the costs and benefits of health care. Investing in more integrated universal health coverage and stronger primary care, delivered in proportion to need, can improve population health and reduce health inequality. However, trade-offs sometimes exist between health policy objectives. Health-care technologies, policies, and resourcing should be subjected to distributional analysis of their equity impacts, to ensure the objective of reducing health inequalities is kept in sight.

Cost-Effectiveness of antiretroviral therapy: A systematic review.

BACKGROUND: The mobilization of resources to prevent and treat human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) is unparalleled in the history of public health. The uptake of antiretroviral therapy (ART) has been rapid and unprecedented and made possible by the availability of funding - external and domestic. To justify continuous funding of ART in resource-scarce settings, a spate of cost-effectiveness studies has been undertaken in a number of countries. This paper is based on a systematic review of global studies on cost-effectiveness analysis of ART. OBJECTIVES: The major objective was to review the existing literature on cost-effectiveness of ART to determine whether ART has been cost-effective (CE) in different settings. METHODS: We searched PubMed and Google Scholar for articles published between 2008 and 2017. We included studies that measured costs as well as effectiveness of HIV treatment - specifically ART - using incremental cost-effectiveness ratio as one of the outcomes. RESULTS: We identified 15 studies that met the search criteria for inclusion in the systematic review. The review confirms that ART programs have been CE across different settings, contexts, and strategies. CONCLUSION: The review would be useful for countries that are straining to raise funds for the health sector, generally, and for AIDS prevention and control program, specifically. This would also be beneficial for carrying out similar studies, if necessary, and as an advocacy tool for garnering additional funding.

Public expenditure on Non-Communicable Diseases & Injuries in India: A budget-based analysis.

BACKGROUND: Resource allocation decisions for disease categories can be informed by proper estimates of the magnitude and distribution of total spending. In the backdrop of a high burden of Non-Communicable Diseases and Injuries (NCDI) in India, and a paucity of estimates on government spending on NCDI, this paper attempts to analyse public sector expenditure on NCDI spending in India. METHODS: Various recent budget documents of the Centre and States/Union Territories have been used to extract expenditure on NCDI. The aggregates thus arrived at have been analysed to estimate aggregate and state level per capita spending. State level spending have been compared against disease burden using DALYs. Patterns of spending on NCDI across states were also analysed together with state level poverty to observe possible patterns. FINDINGS: The total spending on NCDI by the government is low at less than 0.5% of GDP. NCDI spending is little more than one-fourth of total health spending of the country and most spending takes place at the state level (80%). The Ministry of Health and Family Welfare's share in Central spending on NCDI is around 65%, and currently it spends 20% of its total health spending on NCDI. The gap between spending and DALYs is the most for the economically vulnerable states. Also, the states with high poverty levels also have low per capita expenditure on NCDI. INTERPRETATION: India does not depend on donor funding for health. It will have to step up domestic funding to address the increasing disease burden of NCDIs and to reduce the high out-of-pocket expenditure on NCDI. Policies on NCDI need to focus on UHC, service integration and personnel gaps.

Socioeconomic inequality in life expectancy in India.

INTRODUCTION: Concern for health inequalities is an important driver of health policy in India; however, much of the empirical evidence regarding health inequalities in the country is piecemeal focusing only on specific diseases or on access to particular treatments. This study estimates inequalities in health across the whole life course for the entire Indian population. These estimates are used to calculate the socioeconomic disparities in life expectancy at birth in the population. METHODS: Population mortality data from the Indian Sample Registration System were combined with data on mortality rates by wealth quintile from the National Family Health Survey to calculate wealth quintile specific mortality rates. Results were calculated separately for males and females as well as for urban and rural populations. Life tables were constructed for each subpopulation and used to calculate distributions of life expectancy at birth by wealth quintile. Absolute gap and relative gap indices of inequality were used to quantify the health disparity in terms of life expectancy at birth between the richest and poorest fifths of households. RESULTS: Life expectancy at birth was 65.1 years for the poorest fifth of households in India as compared with 72.7 years for the richest fifth of households. This constituted an absolute gap of 7.6 years and a relative gap of 11.7 %. Women had both higher life expectancy at birth and narrower wealth-related disparities in life expectancy than men. Life expectancy at birth was higher across the wealth distribution in urban households as compared with rural households with inequalities in life expectancy widest for men living in urban areas and narrowest for women living in urban areas. CONCLUSION: As India progresses towards Universal Health Coverage, the baseline social distributions of health estimated in this study will allow policy makers to target and monitor the health equity impacts of health policies introduced.

Role of insurance in determining utilization of healthcare and financial risk protection in India.

BACKGROUND: Universal health coverage has become a policy goal in most developing economies. We assess the association of health insurance (HI) schemes in general, and RSBY (National Health Insurance Scheme) in particular, on extent and pattern of healthcare utilization. Secondly, we assess the relationship of HI and RSBY on out-of-pocket (OOP) expenditures and financial risk protection (FRP). METHODS: A cross-sectional study was undertaken to interview 62335 individuals among 12,134 households in 8 districts of three states in India i.e. Gujarat, Haryana and Uttar Pradesh (UP). Data on socio-demographic characteristics, assets, education, occupation, consumption expenditure, illness in last 15 days or hospitalization during last 365 days, treatment sought and its OOP expenditure was collected. We computed catastrophic health expenditures (CHE) as indicator for FRP. Hospitalization rate, choice of care provider and CHE were regressed to assess their association with insurance status and type of insurance scheme, after adjusting for other covariates. RESULTS: Mean OOP expenditures for outpatient care among insured and uninsured were INR 961 (USD 16) and INR 840 (USD 14); and INR 32573 (USD 543) and INR 24788 (USD 413) for an episode of hospitalization respectively. The prevalence of CHE for hospitalization was 28% and 26% among the insured and uninsured population respectively. No significant association was observed in multivariate analysis between hospitalization rate, choice of care provider or CHE with insurance status or RSBY in particular. CONCLUSION: Health insurance in its present form does not seem to provide requisite improvement in access to care or financial risk protection.

Inequity & burden of out-of-pocket health spending: District level evidences from India.

BACKGROUND & OBJECTIVES: Numerous studies have highlighted the regressive and immiserating impact of out-of-pocket (OOP) health spending in India. However, most of these studies have explored this issue at the national or up to the State level, with an associated risk of overlooking intra-State diversities in the health system and health-seeking behaviour and their implication on the financial burden of healthcare. This study was aimed to address this issue by analyzing district level diversities in inequity, financial burden and impoverishing impact of OOP health spending. METHODS: A household survey of 62,335 individuals from 12,134 households, covering eight districts across three States, namely Gujarat, Haryana and Rajasthan was conducted during 2014-2015. Other than general household characteristics, the survey collected information on household OOP [sum total of expenditure on doctor consultation, drugs, diagnostic tests etc. on inpatient depatment (IPD), outpatient depatment (OPD) or chronic ailments] and household monthly consumption expenditure [sum total of monthly expenditure on food, clothing, education, healthcare (OOP) and others]. Gini index of consumption expenditure, concentration index and Kakwani index (KI) of progressivity of OOP, catastrophic burden (at 20% threshold) and poverty impact (using district-level poverty thresholds) were computed, for these eight districts using the survey data. The concentration curve (of OOP expenditure) and Lorenz curve (of consumption expenditure) for the eight districts were also drawn. RESULTS: The distribution of OOP was found to be regressive in all the districts, with significant inter-district variations in equity parameters within a State (KI ranges from -0.062 to -0.353). Chhota Udepur, the only tribal district within the sample was found to have the most regressive distribution (KI of -0.353) of OOP. Furthermore, the economic burden of OOP was more pronounced among the rural sample (CB of 19.2% and IM of 8.9%) compared to the urban sample (CB of 9.4% and IM of 3.7%). INTERPRETATION & CONCLUSIONS: The results indicate that greater decentralized planning taking into account district-level health financing patterns could be an effective way to tackle inequity and financial vulnerability emerging out of OOP expenses on healthcare.

Economic Studies on Non-Communicable Diseases and Injuries in India: A Systematic Review.

BACKGROUND: The burden from non-communicable diseases and injuries (NCDI) in India is increasing rapidly. With low public sector investment in the health sector generally, and a high financial burden on households for treatment, it is important that economic evidence is used to set priorities in the context of NCDI. OBJECTIVE: Our objective was to understand the extent to which economic analysis has been used in India to (1) analyze the impact of NCDI and (2) evaluate prevention and treatment interventions. Specifically, this analysis focused on the type of economic analysis used, disease categories, funding patterns, authorship, and author characteristics. METHODS: We conducted a systematic review based on economic keywords to identify studies on NCDI in India published in English between January 2006 and November 2016. In all, 96 studies were included in the review. The analysis used descriptive statistics, including frequencies and percentages. RESULTS: A majority of the studies were economic impact studies, followed by economic evaluation studies, especially cost-effectiveness analysis. In the costing/partial economic evaluation category, most were cost-description and cost-analysis studies. Under the economic impact/economic burden category, most studies investigated out-of-pocket spending. The studies were mostly on cardiovascular disease, diabetes, and neoplasms. Slightly over half of the studies were funded, with funding coming mainly from outside of India. Half of the studies were led by domestic authors. In most of the studies, the lead author was a clinician or a public health professional; however, most of the economist-led studies were by authors from outside India. CONCLUSIONS: The results indicate the lack of engagement of economists generally and health economists in particular in research on NCDI in India. Demand from health policy makers for evidence-based decision making appears to be lacking, which in turn solidifies the divergence between economics and health policy, and highlights the need to prioritize scarce resources based on evidence regarding what works. Capacity building in health economics needs focus, and the government's support in this is recommended.

Out-of-Pocket Spending on Out-Patient Care in India: Assessment and Options Based on Results from a District Level Survey.

Out-of-pocket spending at out-patient departments (OPD) by households is relatively less analyzed compared to hospitalization expenses in India. This paper provides new evidence on the levels and drivers of expenditure on out-patient care, as well as choice of providers, using household survey data from 8 districts in 3 states of India. Results indicate that the economically vulnerable spend more on OPD as a proportion of per capita consumption expenditure, out-patient care remains overwhelmingly private and switches of providers-while not very prevalent-is mostly towards private providers. A key result is that choice of public providers tend to lower OPD spending significantly. It indicates that an improvement in the overall quality and accessibility of government facilities still remain an important tool that should be considered in the context of financial protection.

Air quality mapping using GIS and economic evaluation of health impact for Mumbai City, India.

UNLABELLED: Mumbai, a highly populated city in India, has been selected for air quality mapping and assessment of health impact using monitored air quality data. Air quality monitoring networks in Mumbai are operated by National Environment Engineering Research Institute (NEERI), Maharashtra Pollution Control Board (MPCB), and Brihanmumbai Municipal Corporation (BMC). A monitoring station represents air quality at a particular location, while we need spatial variation for air quality management. Here, air quality monitored data of NEERI and BMC were spatially interpolated using various inbuilt interpolation techniques of ArcGIS. Inverse distance weighting (IDW), Kriging (spherical and Gaussian), and spline techniques have been applied for spatial interpolation for this study. The interpolated results of air pollutants sulfur dioxide (SO2), nitrogen dioxide (NO2) and suspended particulate matter (SPM) were compared with air quality data of MPCB in the same region. Comparison of results showed good agreement for predicted values using IDW and Kriging with observed data. Subsequently, health impact assessment of a ward was carried out based on total population of the ward and air quality monitored data within the ward. Finally, health cost within a ward was estimated on the basis of exposed population. This study helps to estimate the valuation of health damage due to air pollution. IMPLICATIONS: Operating more air quality monitoring stations for measurement of air quality is highly resource intensive in terms of time and cost. The appropriate spatial interpolation techniques can be used to estimate concentration where air quality monitoring stations are not available. Further, health impact assessment for the population of the city and estimation of economic cost of health damage due to ambient air quality can help to make rational control strategies for environmental management. The total health cost for Mumbai city for the year 2012, with a population of 12.4 million, was estimated as USD8000 million.

A Systematic Review of the State of Economic Evaluation for Health Care in India.

BACKGROUND AND OBJECTIVE: Economic evaluations are one of the important tools in policy making for rational allocation of resources. Given the very low public investment in the health sector in India, it is critical that resources are used wisely on interventions proven to yield best results. Hence, we undertook this study to assess the extent and quality of evidence for economic evaluation of health-care interventions and programmes in India. METHODS: A comprehensive search was conducted to search for published full economic evaluations pertaining to India and addressing a health-related intervention or programme. PubMed, Scopus, Embase, ScienceDirect, and York CRD database and websites of important research agencies were identified to search for economic evaluations published from January 1980 to the middle of November 2014. Two researchers independently assessed the quality of the studies based on Drummond and modelling checklist. RESULTS: Out of a total of 5013 articles enlisted after literature search, a total of 104 met the inclusion criteria for this systematic review. The majority of these papers were cost-effectiveness studies (64%), led by a clinician or public-health professional (77%), using decision analysis-based methods (59%), published in an international journal (80%) and addressing communicable diseases (58%). In addition, 42% were funded by an international funding agency or UN/bilateral aid agency, and 30% focussed on pharmaceuticals. The average quality score of these full economic evaluations was 65.1%. The major limitation was the inability to address uncertainties involved in modelling as only about one-third of the studies assessed modelling structural uncertainties (33%), or ran sub-group analyses to account for heterogeneity (36.5%) or analysed methodological uncertainty (32%). CONCLUSION: The existing literature on economic evaluations in India is inadequate to feed into sound policy making. There is an urgent need to generate awareness within the government of how economic evaluation can inform and benefit policy making, and at the same time build capacity of health-care professionals in understanding the economic principles of health-care delivery system.

Urban health in India: who is responsible?

Urban health has received relatively less focus compared with rural health in India, especially the health of the urban poor. Rapid urbanization in India has been accompanied by an increase in population in urban slums and shanty towns, which are also very inadequately covered by basic amenities, including health services. The paper presents existing and new evidence that shows that health inequities exist between the poor and the non-poor in urban areas, even in better-off states in India. The lack of evidence-based policies that cut across sectors continues to be a main feature of the urban health scenario. Although the problems of urban health are more complex than those of rural health, the paper argues that it is possible to make a beginning fairly quickly by (i) collecting more evidence of health status and inequities in urban areas and (ii) correcting major inadequacies in infrastructure-both health and non-health-without waiting for major policy overhauls.

Willingness to pay for health insurance among HIV-positive patients in India.

BACKGROUND: Standard health insurance products in India currently exclude conditions related to HIV. Although antiretroviral (ARV) drugs are now publicly funded, the burden of treatment due to hospitalization on people living with HIV and AIDS (PLHIV) continues to be high. Unlike many countries, India is yet to eliminate the exclusion clause in standard health insurance products. OBJECTIVE: The overall aim of this study was to understand if PLHIV would be willing to participate in and purchase commercial health insurance, if it were offered to them. METHODS: This study uses primary survey data to analyse the burden of treatment due to hospitalization and estimates the willingness to pay (WTP) for health insurance based on the contingent valuation approach. RESULTS: The average WTP per year was in the range of Indian rupee (R) 1,145-1,355 or $US20-24, with hospitalization and economic status significantly affecting the WTP. CONCLUSION: The findings of the study can serve as evidence for possible changes to policy on health insurance that would allow PLHIV to purchase health insurance.

Development and pilot testing of HIV screening program integration within public/primary health centers providing antenatal care services in Maharashtra, India.

BACKGROUND: The objectives of this paper are: (1) to study the feasibility and relative benefits of integrating the prevention of parent-to-child transmission (PPTCT) component of the National AIDS Control Program with the maternal and child health component of the National Rural Health Mission (NRHM) by offering HIV screening at the primary healthcare level; and (2) to estimate the incremental cost-effectiveness ratio to understand whether the costs are commensurate with the benefits. METHODS: The intervention included advocacy with political, administrative/health heads, and capacity building of health staff in Satara district, Maharashtra, India. The intervention also conducted biannual outreach activities at primary health centers (PHCs)/sub-centers (SCs); initiated facility-based integrated counseling and testing centers (FICTCs) at all round-the-clock PHCs; made the existing FICTCs functional and trained PHC nurses in HIV screening. All "functional" FICTCs were equipped to screen for HIV and trained staff provided counseling and conducted HIV testing as per the national protocol. Data were collected pre- and post- integration on the number of pregnant women screened for HIV, the number of functional FICTCs and intervention costs. Trend analyses on various outcome measures were conducted. Further, the incremental cost-effectiveness ratio per pregnant woman screened was calculated. RESULTS: An additional 27% of HIV-infected women were detected during the intervention period as the annual HIV screening increased from pre- to post-intervention (55% to 79%, p < 0.001) among antenatal care (ANC) attendees under the NRHM. A greater increase in HIV screening was observed in PHCs/SCs. The proportions of functional FICTCs increased from 47% to 97% (p < 0.001). Additionally, 93% of HIV-infected pregnant women were linked to anti-retroviral therapy centers; 92% of mother-baby pairs received Nevirapine; and 89% of exposed babies were enrolled for early infant diagnosis. The incremental cost-effectiveness ratio was estimated at INR 44 (less than 1 US$) per pregnant woman tested. CONCLUSIONS: Integrating HIV screening with the broader Rural Health Mission is a promising opportunity to scale up the PPTCT program. However, advocacy, sensitization, capacity building and the judicious utilization of available resources are key to widening the reach of the PPTCT program in India and elsewhere.

Economic burden of malaria in India: The need for effective spending.

About 95%of India's population resides in malaria-endemic areas and, according to government sources, 80%of malaria reported in the country is confined to populations residing in tribal, hilly, difficult and inaccessible areas. Using a nationally representative sample, this study has estimated the economic burden of malaria in India by applying the cost-of-illness approach, using the information on cost of treatment, days lost and earnings foregone, from the National Sample Survey data. A sensitivity analysis was carried out, by presenting two alternative scenarios of deaths. The results indicate that the total economic burden from malaria in India could be around US$ 1940 million. The major burden comes from lost earnings (75%), while 24%comes from treatment costs. Since mortality is low, this is not a major source of economic burden of malaria. An analysis of the trend and patterns in public expenditure by the National Vector Borne Disease Control Programme shows a declining focus of the central government on vector-borne diseases.Also, allocation of financial resources among states does not reflect the burden of malaria, the major vector-borne disease in the country.

Correlates of out-of-pocket spending on health in Nepal: implications for policy.

BACKGROUND: A key objective of universal health coverage is to address inequities in the financial implications of health care. This paper examines the level and trend in out-of-pocket spending (OOPS) on health, and the consequent burden on Nepalese households. METHODS: Using data from the Nepal Living Standard Survey for 1995-1996 and 2010-2011, the paper looks at the inequity of this burden and its changes over time; across ecological zones or belts, development regions, places of residence, or consumption expenditure quintiles; and according to the gender of the head of the household. RESULTS: The average per capita OOPS on health in Nepal increased sevenfold in nominal terms between 1995-1996 and 2010-2011. The share of OOPS in household consumption expenditure also increased during the same period, primarily as a result of higher health spending by poorer households. Thirteen per cent of all households were found to incur catastrophic health expenses in 2010-2011. This proportion of households incurring such expenditure rose between the two time periods most sharply in the Terai belt, eastern region and poorest quintile. CONCLUSION: The health-financing system in Nepal has become regressive over the years, as the share of the bottom two quintiles in the total number of households facing catastrophic burden increased by 14% between the two periods.

Health spending, macroeconomics and fiscal space in countries of the World Health Organization South-East Asia Region.

The paper examines the issues around mobilization of resources for the 11 countries of the South-East Asia Region of the World Health Organization (WHO), by analysing their macroeconomic situation, health spending, fiscal space and other determinants of health. With the exception of a few, most of these countries have made fair progress on their own Millennium Development Goal (MDG) targets of maternal mortality ratio and mortality rate in children aged under 5 years. However, the achieved targets have been very modest - with the exception of Thailand and Sri Lanka - indicating the continued need for additional efforts to improve these indicators. The paper discusses the need for investment, by looking at evidence on economic growth, the availability of fiscal space, and improvements in "macroeconomic-plus" factors like poverty, female literacy, governance and efficiency of the health sector. The analysis indicates that, overall, the countries of the WHO South-East Asia Region are collectively in a position to make the transition from low public spending to moderate or even high health spending, which is required, in turn, for transition from lowcoverage-high out-of-pocket spending (OOPS) to highcoverage-low OOPS. However, explicit prioritization for health within the overall government budget for low spenders would require political will and champions who can argue the case of the health sector. Additional innovative avenues of raising resources, such as earmarked taxes or a health levy can be considered in countries with good macroeconomic fundamentals. With the exception of Thailand, this is applicable for all the countries of the region. However, countries with adverse macroeconomic-plus factors, as well as inefficient health systems, need to be alert to the possibility of overinvesting - and thereby wasting - resources for modest health gains, making the challenge of increasing health sector spending alongside competing demands for spending on other areas of the social sector difficult.

Fiscal space for health spending in Southeast Asia.

This article examines the availability of fiscal space in the context of health spending and the challenges and constraints in raising additional resources for health given the macroeconomic situations, in the ten countries of the South-East Asia region (SEAR) of the World Health Organization (WHO). Using a variety of secondary data, the analysis indicates that there are differences among the SEAR countries with respect to the various indicators of fiscal space. While the aid situation is under control, there are concerns regarding public debt, fiscal deficit, and revenues. Based on the findings, this article proposes ways forward for each of the countries in the coming years.