Service Coverage Index Research Articles

Improving equity in the distribution and financing of health services in Mauritius, a small island state with deeply rooted welfare state standards

BackgroundEnsuring benefits of free healthcare services are accessible to those in need is essential to achieve universal health coverage (UHC). Mauritius has sustained a welfare state over four decades with...

Health financing reforms for Universal Health Coverage in five emerging economies.

BackgroundMany countries have committed to achieving Universal Health Coverage. This paper summarizes selected health financing themes from five middle-income country case studies with incomplete progress towards UHC.MethodsThe paper focuses on key flagship UHC programs in these countries, which exist along other publicly financed health delivery systems, reviewed through the lens of key health financing functions such as revenue raising, pooling and purchasing as well as governance and institutional arrangements.ResultsThere is variable progress across countries. Indonesia’s Jaminan Kesehatan Nasional (JKN) reforms have made substantial progress in health services coverage and health financing indicators though challenges remain in its implementation. In contrast, Ghana has seen reduced funding levels for health and achieved less than 50% in the UHC service coverage index. In India, despite Ayushman Bharat (PM-JAY) reforms having provided important innovations in purchasing and public-private mix, out of pocket spending remains high and the public health financing level low. Kenya still has a challenge to use public financing to enhance coverage for the informal sector, while South Africa has made little progress in strategic purchasing.ConclusionsDespite variations across countries, therefore, important challenges include inadequate financing, sub-optimal pooling, and unmet expectations in strategic purchasing. While complex federal systems may complicate the path forward for most of these countries, evidence of strong political commitment in some of these countries bodes well for further progress.

Addressing breast cancer mortality in low-income and middle-income countries: if you can't measure it, it doesn't exist.

Disparities in cancer outcomes within and between countries have become increasingly more visible in the past two decades; some regions have achieved reductions both cancer incidence and mortality, whereas others are falling dramatically behind. In The Lancet Oncology, Catherine Duggan and colleagues 1 Duggan C Trapani D Ilbawi AM et al. National health system characteristics, breast cancer stage at diagnosis, and breast cancer mortality: a population-based analysis. Lancet Oncol. 2021; (published online Oct 12.)https://doi.org/10.1016/S1470-2045(21)00462-9 Summary Full Text Full Text PDF PubMed Scopus (12) Google Scholar report that 20 countries have achieved sustained mean reductions in breast cancer mortality of at least 2% for 3 consecutive years since 1990, all of which are either high-income or upper-middle-income countries. All 20 of these countries with sustained mortality reductions had at least 60% of patients with breast cancer diagnosed at early stages (stage I or II) of disease. In the multivariable analysis, the Universal Health Care Service Coverage Index score and number of public cancer centres per 10 000 patients with cancer were significantly and independently negatively associated with age-standardised mortality rates (β=–0·12, 95% CI −0·16 to −0·08, and β=–0·23, −0·36 to −0·10, respectively). These results provide useful additional information on which future research might be based. National health system characteristics, breast cancer stage at diagnosis, and breast cancer mortality: a population-based analysisCountries with low breast cancer mortality rates are characterised by increased levels of coverage of essential health services and higher numbers of public cancer centres. Among countries achieving sustained mortality reductions, the majority of breast cancers are diagnosed at an early stage, reinforcing the value of clinical early diagnosis programmes for improving breast cancer outcomes. Full-Text PDF

National health system characteristics, breast cancer stage at diagnosis, and breast cancer mortality: a population-based analysis.

In some countries, breast cancer age-standardised mortality rates have decreased by 2-4% per year since the 1990s, but others have yet to achieve this outcome. In this study, we aimed to characterise the associations between national health system characteristics and breast cancer age-standardised mortality rate, and the degree of breast cancer downstaging correlating with national age-standardised mortality rate reductions. In this population-based study, national age-standardised mortality rate estimates for women aged 69 years or younger obtained from GLOBOCAN 2020 were correlated with a broad panel of standardised national health system data as reported in the WHO Cancer Country Profiles 2020. These health system characteristics include health expenditure, the Universal Health Coverage Service Coverage Index (UHC Index), dedicated funding for early detection programmes, breast cancer early detection guidelines, referral systems, cancer plans, number of dedicated public and private cancer centres per 10 000 patients with cancer, and pathology services. We tested for differences between continuous variables using the non-parametric Kruskal-Wallis test, and for categorical variables using the Pearson χ2 test. Simple and multiple linear regression analyses were fitted to identify associations between health system characteristics and age-standardised breast cancer mortality rates. Data on TNM stage at diagnosis were obtained from national or subnational cancer registries, supplemented by a literature review of PubMed from 2010 to 2020. Mortality trends from 1950 to 2016 were assessed using the WHO Cancer Mortality Database. The threshold for significance was set at a p value of 0·05 or less. 148 countries had complete health system data. The following variables were significantly higher in high-income countries than in low-income countries in unadjusted analyses: health expenditure (p=0·0002), UHC Index (p<0·0001), dedicated funding for early detection programmes (p=0·0020), breast cancer early detection guidelines (p<0·0001), breast cancer referral systems (p=0·0030), national cancer plans (p=0·014), cervical cancer early detection programmes (p=0·0010), number of dedicated public (p<0·0001) and private (p=0·027) cancer centres per 10 000 patients with cancer, and pathology services (p<0·0001). In adjusted multivariable regression analyses in 141 countries, two health system characteristics were significantly associated with lower age-standardised mortality rates: higher UHC Index levels (β=-0·12, 95% CI -0·16 to -0·08) and increasing numbers of public cancer centres (β=-0·23, -0·36 to -0·10). These findings indicate that each unit increase in the UHC Index was associated with a 0·12-unit decline in age-standardised mortality rates, and each additional public cancer centre per 10 000 patients with cancer was associated with a 0·23-unit decline in age-standardised mortality rate. Among 35 countries with available breast cancer TNM staging data, all 20 that achieved sustained mean reductions in age-standardised mortality rate of 2% or more per year for at least 3 consecutive years since 1990 had at least 60% of patients with invasive breast cancer presenting as stage I or II disease. Some countries achieved this reduction without most women having access to population-based mammographic screening. Countries with low breast cancer mortality rates are characterised by increased levels of coverage of essential health services and higher numbers of public cancer centres. Among countries achieving sustained mortality reductions, the majority of breast cancers are diagnosed at an early stage, reinforcing the value of clinical early diagnosis programmes for improving breast cancer outcomes. None.

Strengthening national capacities for pandemic preparedness: a cross-country analysis of COVID-19 cases and deaths.

The International Health Regulation—State Party Annual Reporting (IHR-SPAR) and the Global Health Security Index (GHSI)) have been developed to aid in strengthening national capacities for pandemic preparedness. We examine the relationship between country-level rankings on these two indices, along with two additional indices (the Universal Health Coverage Service Coverage Index and World Bank Worldwide Governance Indicator (n = 195)) and compared them to the country-level reported COVID-19 cases and deaths (Johns Hopkins University (JHU) COVID-19 Dashboard) through 17 June 2020. Ordinary least squares regression models were used to compare weekly reported COVID-19 case and death rates per million in the first 12 weeks of the pandemic between countries classified as low, middle, and high ranking on each index, while controlling for country socio-demographic information. Countries with higher GHSI and IHR-SPAR index scores experienced fewer reported COVID-19 cases and deaths, but only for the first 8 weeks after the country’s first case. For the GHSI, this association was further limited to countries with populations below 69.4 million. For both the GHSI and IHR-SPAR, countries with a higher sub-index score in human resources for pandemic preparedness reported fewer COVID-19 cases and deaths in the first 8 weeks after the country’s first reported case. The UHC-SCI and WGI country-level rankings were not associated with COVID-19 outcomes. The associations between GHSI and IHR-SPAR scores and COVID-19 outcomes observed in this study demonstrate that these two indices, although imperfect, may have value, especially in countries with a population under 69.4 million people for the GHSI. Preparedness indices may have value; however, they should continue to be evaluated as policymakers seek to better prepare for future global public health crises.

Primary care physician payment mechanisms toward universal health coverage: A study of Iran and selected countries.

Primary care physician (PCP) payment mechanisms can be important tools for addressing issues of access, quality, and equity in health care. The purpose of the present study is to compare the PCP payment mechanisms of Iran, Canada, Australia, New Zealand, England, Sweden, Norway, Denmark, the Netherlands, Turkey, and Thailand. This is a descriptive-comparative study comparing the PCP payment mechanisms of Iran and selected countries in 2020. Data for each country are collected from reliable databases and are tabulated to compare their payment models. Framework analysis is used for data analysis. The results are provided in terms of PCP payment mechanisms, adjusting factor for capitation, reasons for fee-for-service payment, the role of pay-for-performance (PFP) programme, domain and indicators, and reasons for developing PFP in each country. The majority of the countries with high UHC service coverage index have applied a mix of PCP payment mechanisms, most of which include capitation and PFP. Moreover, adjusting capitation by factors such as age, sex, and health status will lead to provision of better services to high-risk populations. In recent years, PFP has been paid to Iranian PCPs in addition to salary. Given the various existing models for primary health care in Iran and the increasing burden of chronic diseases, a more appropriate combination of payment mechanisms that create more incentives to provide active and high-quality care should be developed. Also, when developing payment mechanisms, the required infrastructure such as electronic health record should be considered.

Does Progress on Universal Health Coverage Explain COVID Cases and Deaths?

Research ObjectiveThe trajectory of COVID‐19 pandemic has been different across different countries and regions, with varying number of per‐population cases and deaths. Such variation may be a function of a number of country‐specific factors such as population distribution, disease profile, non‐pharmaceutical interventions (e.g., lockdowns) undertaken at the wake of the pandemic, political leadership, and others.Our objective is to examine the extent to which a country's progress towards universal health coverage (UHC) explains COVID outcomes. We also measure how the effect of UHC varies across different levels of social capital. We proxy the UHC progress using service coverage index (SCI). The SCI is a broad‐based measure of UHC, and is tracked at the country level by the World Health Organization (WHO) and its collaborating partners.Our overall hypothesis is that the UHC‐SCI has a protective effect on health, and therefore, is negatively associated with the COVID outcomes (COVID cases and deaths per 100 k population).Study DesignWe use longitudinal data‐based generalized linear models (GLMs) to investigate the relationship between the outcome variable (COVID cases and deaths) and the key explanatory variables. We run cross‐country linear regressions, with month fixed effects and country‐level clustering. We run two sets of linear regressions. First, we regress each COVID outcome on the SCI. Second, we regress each COVID outcome on the SCI and the interaction term between SCI and social capital. Both sets of regressions include controls for GDP per capita, share of population above 65, stringency measures, and COVID testing rates.Our data for the SCI comes from the WHO while the longitudinal (monthly) data on COVID outcomes and other key variables come from “ourworldindata.org” (University of Oxford). The data on government trust is obtained from the social capital component of the Legatum Prosperity Index (LPI), 2019.Population Studied173 countries.Principal FindingsOur findings show that there is a positive and strong association between UHC‐SCI and COVID outcomes. This is counterintuitive, and we suspect it is likely due to the dependency of testing for the actual ascertainment of cases and deaths. The coefficient on the interaction term (between SCI and social capital), however, is negative and statistically significant.ConclusionsThe effect of UHC seems to be protective among countries that are characterized by high level of social capital.Implications for Policy or PracticeThe effect of UHC seems to be protective among countries that are characterized by high level of social capital.

Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data

BackgroundSouth Africa is committed to advancing universal health coverage (UHC). The usefulness and potential of using routine health facility data for monitoring progress towards UHC, in the form of the 16-tracer WHO service coverage index (SCI), was assessed.MethodsAlternative approaches to calculating the WHO SCI from routine data, allowing for disaggregation to district level, were explored. Data extraction, coding, transformation and modelling processes were applied to generate time series for these alternatives. Equity was assessed using socio-economic quintiles by district.ResultsThe UHC SCI at a national level was 46.1 in 2007–2008 and 56.9 in 2016–2017. Only for the latter period, could the index be calculated for all indicators at a district level. Alternative indicators were formulated for 9 of 16 tracers in the index. Routine or repeated survey data could be used for 14 tracers. Apart from the NCD indicators, a gradient of poorer performance in the most deprived districts was evident in 2016–2017.ConclusionsIt is possible to construct the UHC SCI for South Africa from predominantly routine data sources. Overall, there is evidence from district level data of a trend towards reduced inequity in relation to specific categories (notably RMNCH). Progress towards UHC has the potential to overcome fragmentation and enable harmonisation and interoperability of information systems. Private sector reporting of data into routine information systems should be encouraged.

Dollar value of disability-adjusted life years in South Africa in 2019

Background To date, no study has estimated the dollar value of DALYs lost from a wide range of diseases and conditions in South Africa. The specific objectives of this study were: (a) to estimate the dollar value of disability-adjusted life-years (DALYs) lost in South Africa in 2019, and (b) to forecast the reductions in the dollar value of DALY losses assuming the United Nations Sustainable Development Goal 3 (SDG3) five disease-specific targets are attained by 2030. Methods The study employs the human capital approach to convert the DALYs lost from all causes into their International Dollar (Int$) equivalents. The DALYs data used in the analysis was from the Institute for Health Metrics and Evaluation (IHME) Database, per capita GDP data from the International Monetary Fund (IMF) Database, and current health expenditure per person from the Global Health Expenditure Database of the World Health Organization (WHO). Results South Africa lost 26.6 million DALYs in 2019 with a total value of Int$ 313.5 billion and an average value of Int$ 11,791.6 per DALY. Approximately Int$ 155.6 billion (50%) was attributed to communicable, maternal, neonatal, and nutritional diseases (CMNND); Int$ 120.4 billion (38%) to non-communicable diseases (NCD); and Int$ 37.4 billion (12%) to injuries (INJ). The health conditions related to SDG3 targets 3.1 (maternal mortality), 3.2 (neonatal mortality), 3.3 (CMNND), 3.4 (NCD) and 3.6 (INJ) resulted in DALY losses with a value of 256.4 billion, i.e. 82% of the total monetary value of DALYs lost in 2019. Therefore, achieving the five SDG targets would potentially save South Africa Int$ 139.7 billion per year. Conclusions Health development policy-makers should employ this type of evidence when making a case for increased investments into the national health-related systems to bridge the extant gap in the universal health service coverage index for South Africa.

An ecological study on the association between universal health service coverage index, health expenditures, and early childhood caries

BackgroundUniversal health care (UHC) may assist families whose children are most prone to early childhood caries (ECC) in accessing dental treatment and prevention. The purpose of this study was to determine the association between UHC, health expenditure and the global prevalence of ECC.MethodsHealth expenditure as percentage of gross domestic product, UHC service coverage index, and the percentage of 3–5-year-old children with ECC were compared among countries with various income levels using one-way analysis of variance (ANOVA). Three linear regression models were developed, and each was adjusted for the country income level with the prevalence of ECC in 3–5-year-old children being the dependent variable. In model 1, UHC service coverage index was the independent variable whereas in model 2, the independent variable was the health expenditure as percentage of GDP. Model 3 included both independent variables together. Regression coefficients (B), 95% confidence intervals (CIs), P values, and partial eta squared (ƞ2) as measure of effect size were calculated.ResultsLinear regression including both independent factors revealed that health expenditure as percentage of GDP (P < 0.0001) was significantly associated with the percentage of ECC in 3–5-year-old children while UHC service coverage index was not significantly associated with the prevalence of ECC (P = 0.05). Every 1% increase in GDP allocated to health expenditure was associated with a 3.7% lower percentage of children with ECC (B = − 3.71, 95% CI: − 5.51, − 1.91). UHC service coverage index was not associated with the percentage of children with ECC (B = 0.61, 95% CI: − 0.01, 1.23). The impact of health expenditure on the prevalence of ECC was stronger than that of UHC coverage on the prevalence of ECC (ƞ2 = 0.18 vs. 0.05).ConclusionsHigher expenditure on health care may be associated with lower prevalence of ECC and may be a more viable approach to reducing early childhood oral health disparities than UHC alone. The findings suggest that currently, UHC is weakly associated with lower global prevalence of ECC.

Children and Women's Health in South East Asia: Gap Analysis and Solutions.

In response to the Millennium Development Goals (MDGs) and Sustainable Development Goals (SDGs) commitment, eight selected countries in the South East Asia region have made a remarkable reduction in infant and child mortality, while a few have achieved an SDG 3.2 target of 25 and 12 for child and neonatal mortality rate, respectively, well before 2030. Across these eight countries, there is a large variation in the achievement of the nine dimensions of maternal, neonatal, and child health service coverage. The poorest wealth quintiles who reside in rural areas are the most vulnerable and left behind from access to service. The rich rural residents are better off than the poor counterparts as they have financial means for travel and access to health services in urban town. The recent 2019 global Universal Health Coverage (UHC) monitoring produced a UHC service coverage index and an incidence of catastrophic health spending, which classified countries into four quadrants using global average. Countries belonging to a high coverage index and a low incidence of catastrophic spending are good performers. Countries having high coverage but also a high incidence of catastrophic spending need to improve their financial risk protection. Countries having low coverage and a high incidence of catastrophic spending need to boost service provision capacity, as well as expand financial protection. Countries having low coverage and a low incidence of catastrophic spending are the poor performers where both coverage and financial protection need significant improvement. In these countries, poor households who cannot afford to pay for health services may forego required care and instead choose to die at home. This paper recommended countries to spend adequately in the health sector, strengthen primary health care (PHC) and safeguard the poor, mothers and children as a priority in pathways towards UHC.

Critical Care Bed Capacity in Asian Countries and Regions.

To assess the number of adult critical care beds in Asian countries and regions in relation to population size. Cross-sectional observational study. Twenty-three Asian countries and regions, covering 92.1% of the continent's population. Ten low-income and lower-middle-income economies, five upper-middle-income economies, and eight high-income economies according to the World Bank classification. Data closest to 2017 on critical care beds, including ICU and intermediate care unit beds, were obtained through multiple means, including government sources, national critical care societies, colleges, or registries, personal contacts, and extrapolation of data. Cumulatively, there were 3.6 critical care beds per 100,000 population. The median number of critical care beds per 100,000 population per country and region was significantly lower in low- and lower-middle-income economies (2.3; interquartile range, 1.4-2.7) than in upper-middle-income economies (4.6; interquartile range, 3.5-15.9) and high-income economies (12.3; interquartile range, 8.1-20.8) (p = 0.001), with a large variation even across countries and regions of the same World Bank income classification. This number was independently predicted by the World Bank income classification on multivariable analysis, and significantly correlated with the number of acute hospital beds per 100,000 population (r = 0.19; p = 0.047), the universal health coverage service coverage index (r = 0.35; p = 0.003), and the Human Development Index (r = 0.40; p = 0.001) on univariable analysis. Critical care bed capacity varies widely across Asia and is significantly lower in low- and lower-middle-income than in upper-middle-income and high-income countries and regions.

Achieving Universal Health Coverage (UHC): Dominance analysis across 183 countries highlights importance of strengthening health workforce.

Despite increasing political will to achieve Universal Health Coverage (UHC), there is a paucity of empiric data describing what health system indicators are useful surrogates of country-level progress towards UHC. We sought to determine what public health interventions were useful tracers of country-level UHC progress. Across 183 countries we evaluated the extent to which 16 service delivery indicators explained variability in the UHC Service Coverage Index, (UHC SCI) a WHO-validated indicator of country-level health coverage. Dominance analyses, stratifying countries by World Bank income criteria, were used to determine which indicators were most important in in predicting UHC SCI scores. Health workforce density ranked first overall, provision of basic sanitation and access to clean water ranked second, and provision of basic antenatal services ranked third. In analysis stratified by World Bank income criteria, health workforce density ranked first in Lower Middle Income-Countries (LMICs) (n = 45) and third in Upper Middle Income-Countries (UMICs) (n = 51). While each country will have a different approach to achieving UHC, strengthening the health workforce will need to be a key priority if they are to be successful in achieving UHC.

A comprehensive assessment of universal health coverage in 111 countries: a retrospective observational study

The goal of universal health coverage (UHC) requires that everyone receive needed health services, and that families who get needed services do not suffer undue financial hardship. Tracking progress towards UHC requires measurement of both these dimensions, and a way of trading them off against one another. We measured service coverage by a weighted geometric average of four prevention indicators (antenatal care, full immunisation, and screening for breast and cervical cancers) and four treatment indicators (skilled birth attendance, inpatient admission, and treatment for acute respiratory infection and diarrhoea), financial protection by the incidence of catastrophic health expenditures (those exceeding 10% of household consumption or income), and a country's UHC performance as a geometric average of the service coverage index and the complement of the incidence of catastrophic expenditures. Where possible, we adjusted service coverage for inequality, penalising countries with a high level of inequality. The bulk of data used in this study were from the World Bank's Health Equity and Financial Protection Indicators database (2019 version), comprising data from household surveys. Gaps in the data were supplemented with other survey data and (where necessary) non-survey data from other sources (administrative, modelled, and imputed data). A low incidence of catastrophic expenses sometimes reflects low service coverage (often in low-income countries) but sometimes occurs despite high service coverage (often in high-income countries). At a given level of service coverage, financial protection also varies. UHC index scores are generally higher in higher-income countries, but there are variations within income groups. Adjusting the UHC index for inequality in service coverage makes little difference in some countries, but reduces it by more than 10% in others. Seven of the 12 countries for which we were able to produce trend data have increased their UHC index over time (with the greatest average yearly increases seen in Ghana [1·43%], Indonesia [1·85%], and Vietnam [2·26%]), mostly by improving both financial protection and service coverage. Some increased their UHC index, despite reductions in financial protection, by substantially increasing their service coverage. The UHC index decreased in five of 12 countries with trend data, mostly because financial protection worsened with stagnant or declining service coverage. Our UHC indicators (except inpatient admissions) are significantly and positively associated with GDP per capita, and most are correlated with the share of health spending channelled through social health insurance and government schemes. However, associations of our UHC indicators with the share of GDP spent on health and the shares of health spending channelled through non-profit and private insurance are ambiguous. Progress towards UHC can be tracked using an index that captures both service coverage and financial protection. Although per-capita income is a good predictor of a country's UHC index score, some countries perform better than others in the same income group or even in the income group above their own. Strong UHC performance is correlated with the share of a country's health budget that is channelled through government and social health insurance schemes. None.

Measuring progress towards universal health coverage: national and subnational analysis in Ethiopia

IntroductionAiming for universal health coverage (UHC) as a country-level goal requires that progress is measured and tracked over time. However, few national and subnational studies monitor UHC in low-income countries...

Monitoring Universal Health Coverage (UHC) in high Tuberculosis burden countries: Tuberculosis mortality an important tracer of UHC service coverage

BackgroundThere is a paucity of empiric data evaluating whether Tuberculosis (TB) is a useful surrogate measure for Universal Health Coverage (UHC), despite recognition of the importance of TB control efforts as part of the broader UHC agenda. We hypothesized that indicators of TB burden and coverage are sensitive tracers of UHC, when compared to other disease-specific indicators of service provision.MethodsLinear regression models were used to determine the extent to which variability in UHC Service Coverage Index (SCI) was accounted for by (1) TB incidence rates and (2) TB mortality rates across 183 countries. Dominance analyses, stratifying countries by World Bank income criteria and TB burden, were used to determine the importance of TB treatment coverage in predicting UHC SCI scores, relative to other disease-specific indicators of service provision.ResultsAcross 183 countries, TB incidence rate and TB mortality rate were negatively correlated, with UHC SCI score, (r = -0.67 and r = -0.74, respectively). In linear regression models including all 183 countries, TB incidence rates explained 45% of the variability in SCI scores; TB mortality rate explained 55% of variability. Restricting models to the 30 highest TB burden countries, both incidence and mortality explained less of the variability in SCI score (16% and 36%, respectively). In dominance analysis, comparing 13 disease-specific indicators of service provision, TB effective treatment coverage, ranked ninth overall. In dominance analysis stratified by TB burden, the TB treatment coverage estimate was ranked ninth in the 30 high burden countries and sixth in the 153 non-high burden countries. In separate analyses stratified by world bank income status, TB coverage ranked as third most important variable in LICs and fifth in LMICs and UMICs, but was less important in analysis restricted HICs (ranked seventh).ConclusionsCompared to other disease-specific indicators of service provision, TB coverage was an important indicator of overall UHC service coverage, especially in low-income countries. These findings highlight that national-level inequities in TB-coverage may be an important tracer of universal health coverage.

Progress towards universal health coverage in Myanmar.

Progress towards universal health coverage in Myanmar.

Monitoring equity in universal health coverage with essential services for neglected tropical diseases: an analysis of data reported for five diseases in 123 countries over 9 years.

A service coverage index has recently been proposed to monitor progress towards universal health coverage (UHC), and baseline results for 2015 are available. However, evidence on equity in that progress is scarce. The service coverage index did not consider services for neglected tropical diseases (NTDs), a group of preventable diseases defined by WHO member states on the basis of the disproportionate burden they place on their poorest, remotest, and otherwise most marginalised communities. Because of the much-needed equity lens that it could provide, NTD service coverage should not be neglected in efforts to monitor UHC progress. We developed an index focused on coverage of services for NTDs, comparable in methods to the UHC service coverage index. On the basis of data availability, we focused on preventive chemotherapy, which was recently included in the highest-priority package of essential UHC interventions. We used data reported to WHO since 2008 for the five NTDs amenable to preventive chemotherapy (lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminthiases, and trachoma) to develop an NTD service coverage index based on the geometric mean of coverage rates for individual NTD services with regularly reported data. We then compared this NTD service coverage index with the UHC service coverage index. A high UHC index value and a low NTD index value suggest that a country might not be adequately prioritising interventions for the poor. We measured Spearman rank-order correlation (ρ) of the NTD service coverage index with income inequality, as measured by the Gini coefficient (range of 0-1), where values of the Gini coefficient close to 1 indicate higher income inequality, and a negative correlation was evidence of socioeconomic barriers to health service coverage for people who are least well off. At least 123 countries can monitor NTD service coverage by use of a simple index. The median national NTD index was 32 in 2016, an increase from 3 in 2012, and from 0 in 2008. In 2015, the NTD index was lower than the UHC index in 81 of the 113 countries for which both NTD and UHC indices are available, by up to 80 points. The NTD index was negatively but weakly correlated with income inequality; this correlation was strongest in the African Region (ρ=-0·46 in 2008, ρ=-0·32 in 2015), suggesting that high-income inequality, although associated with low coverage of services targeting the poor, does not preclude the extension of that coverage. The NTD index can be used to measure equity in progress towards UHC. A broader NTD index including services for other NTDs could be developed at regional and country levels. Comparing the NTD and UHC service coverage indices reveals that some countries that are performing well by the measure of the UHC service coverage index still have work to do in prioritising services for their poorest and otherwise most marginalised communities. Our results offer hope that socioeconomic barriers to health service coverage can be overcome. None.

How far we are from achieving universal health coverage? A situational analysis and way forward for India

Introduction: Universal Health coverage (UHC) is required for fulfilment of Health for All. Currently World Health Organization has proposed indicators for tracing coverage of UHC. This study aimed to find the current status of the UHC in India and Indian States. Material and Methods: Data were collected from the national data portals, national surveys and annual reports of ministry. In case of non-availability, numerator and denominator were used from different sources. Data were entered in to Microsoft excel and analysed using Stata-12. Results: Coverage indicators for Non Communicable diseases and cataract surgery were not available in any national survey or national report of ministry. Coverage of none of the health system indicators were found to be 100%. Few indicators like Skilled attendance at birth, TB cure rate, Preventive chemotherapy against filariasis, access to improved water source had a coverage of 80%. Across the states and union territories the coverage was variable but no significant difference was observed between the EAG and Non EAG states. Very few states have achieved the minimum coverage of 80% in various coverage indicators. Conclusion: There is non-availability of some data and some data were collected in duplication. Because of the lack of data, it is not yet possible to compare the UHC service coverage index across key dimensions of inequality. Until these data gaps are overcome, inequalities in service coverage cannot be assessed.

Monitoring universal health coverage within the Sustainable Development Goals: development and baseline data for an index of essential health services.

Achieving universal health coverage, including quality essential service coverage and financial protection for all, is target 3.8 of the Sustainable Development Goals (SDG). As a result, an index of essential health service coverage indicators was selected by the UN as SDG indicator 3.8.1. We have developed an index for measuring SDG 3.8.1, describe methods for compiling the index, and report baseline results for 2015. 16 tracer indicators were selected for the index, which included four from within each of the categories of reproductive, maternal, newborn, and child health; infectious disease; non-communicable diseases; and service capacity and access. Indicator data for 183 countries were taken from UN agency estimates or databases, supplemented with submissions from national focal points during a WHO country consultation. The index was computed using geometric means, and a subset of tracer indicators were used to summarise inequalities. On average, countries had primary data since 2010 for 72% of the final set of indicators. The median national value for the service coverage index was 65 out of 100 (range 22-86). The index was highly correlated with other summary measures of health, and after controlling for gross national income and mean years of adult education, was associated with 21 additional years of life expectancy over the observed range of country values. Across 52 countries with sufficient data, coverage was 1% to 66% lower among the poorest quintile as compared with the national population. Sensitivity analyses suggested ranks implied by the index are fairly stable across alternative calculation methods. Service coverage within universal health coverage can be measured with an index of tracer indicators. Our universal health coverage service coverage index is simple to compute by use of available country data and can be refined to incorporate relevant indicators as they become available through SDG monitoring. Ministry of Health, Japan, and the Rockefeller Foundation.