Monitoring subnational regional inequalities in health: measurement approaches and challenges

Gender Gap for Accelerometry-Based Physical Activity Across Different Age Groups in 5 Brazilian Cohort Studies

OBJECTIVES

This study aims to evaluate the gender inequalities in accelerometer-based physical activity (PA) across different age groups using data from 5 Pelotas (Brazil) cohorts.

METHODS

The data come from 4 birth cohort studies, covering all live births in the urban area of Pelotas for each respective year (1982, 1993, 2004, and 2015), and the Como vai? cohort study focusing on 60 years and above. Raw accelerometry data were collected on the nondominant wrist using GENEActive/ActiGraph devices and processed with the GGIR package. Overall PA was calculated at ages 1, 2, 4, 6, 11, 15, 18, 23, 30, and 60+ years, while moderate to vigorous PA was calculated from 6 years onward. Absolute (difference) and relative (ratio) gender inequalities were calculated and intersectionality between gender and wealth was also evaluated.

RESULTS

The sample sizes per cohort ranged from 965 to 3462 participants. The mean absolute gender gap was 19.3 minutes (95% confidence interval, 12.7-25.9), with the widest gap at 18 years (32.9 min; 95% confidence interval, 30.1-35.7) for moderate to vigorous PA. The highest relative inequality was found in older adults (ratio 2.0; 95% confidence interval, 1.92-2.08). Our intersectionality results showed that the poorest men being the most active group, accumulating around 60 minutes more moderate to vigorous PA per day compared with the wealthiest women at age 18.

CONCLUSIONS

Men were more physically active than women in all ages evaluated. PA gender inequalities start at an early age and intensify in transition periods of life. Relative inequalities were marked among older adults.

Coverage and Socioeconomic Inequalities in Cervical Cancer Screening in Low- and Middle-Income Countries Between 2010 and 2019

PURPOSE

Cervical cancer screening is vital in addressing the global burden of cervical cancer. In this study, we describe the coverage and socioeconomic inequalities in the coverage of cervical cancer screening in low- and middle-income countries (LMICs).

METHODS

We analyzed data from the women's recode files of the Demographic and Health Surveys conducted in LMICs from 2010 to 2019 with variables on cervical cancer screening. We included women 21 years or older and determined the proportion of women who were screened for cervical cancer by age categories, wealth quintile, type of place of residence, level of education, and marital status. Socioeconomic inequality was measured using the concentration index (CIX) and the slope index of inequality (SII).

RESULTS

A total of 269,506 women from 20 surveys in 16 countries were included in the survey. Generally, there was a low coverage of screening, with lower rates among women age 21-24 years, living in rural areas, in the poorest wealth quintile, with no formal education, and who have never been in union with or lived with a man. The CIX and SII values for screening for cervical cancer were positive (pro-rich) for all the countries except Tajikistan in 2012 where they were negative (pro-poor).

CONCLUSION

The coverage of cervical cancer screening was low in LMICs with variations by the quintile of wealth (pro-rich) and type of place of residence (pro-urban). To achieve the desired impact of cervical cancer screening services in LMICs, the coverage of cervical cancer screening programs must include women irrespective of the type of place and wealth quintiles.

Health inequalities in Brazilian adolescents: Measuring and mapping gaps in a cross-sectional school-based survey

Background and Aims

This study aims to describe inequalities in health indicators according to gender, area of residence, and socioeconomic position among Brazilian adolescents.

Methods

Cross-sectional study using data from a school-based survey carried out in Brazil in 2019. Twelve health outcomes were evaluated. Dimensions of inequality assessed were gender, area of residence, wealth and subnational region.

Results

This study comprises a sample of 124,898 adolescents. The most prevalent outcome was physical inactivity (71.9%) followed by thinking life is worthless (52.6%) and bullying (51.8%). Gender inequalities were more marked for physical inactivity and thinking life is worthless with girls presenting a prevalence more than 20 p.p. higher than boys. In zero-dose HPV, however, the prevalence in girls was 17.7 p.p. lower than in boys. Area of residence and wealth inequalities were smaller than gender disparities. Context presented a relevant role in inequality with analysis stratified by states of the country, revealing high variability in estimates.

Conclusions

We highlight the need for attention to disparities between subgroups of the adolescent population, especially for gender inequalities that were the most marked for this age group.

Equity trends for the UHC service coverage sub-index for reproductive, maternal, newborn and child health in Pakistan: evidence from demographic health surveys

BACKGROUND

Pakistan, the world's sixth most populous country and the second largest in South Asia, is facing challenges related to reproductive, maternal, newborn and child health (RMNCH) that are exacerbated by various inequities. RMNCH coverage indicators such as antenatal care (ANC) and deliveries at health facilities have been improving over time, and the maternal mortality ratio (MMR) is gradually declining but not at the desired rates. Analysing and documenting inequities with reference to key characteristics are useful to unmask the disparities and to amicably implement targeted equity-oriented interventions.

METHODS

Pakistan Demographic Health Survey (PDHS) based UHC service coverage tracer indicators were derived for the RMNCH domain at the national and subnational levels for the two rounds of the PDHS in 2012 and 2017. These derivations were subgrouped into wealth quintiles, place of residence, education and mothers' age. Dumbbell charts were created to show the trends and quintile-specific coverage. The UHC service coverage sub-index for RMNCH was constructed to measure the absolute and relative parity indices, such as high to low absolute difference and high to low ratios, to quantify health inequities. The population attributable risk was computed to determine the overall population health improvement that is possible if all regions have the same level of health services as the reference point (national level) across the equity domains.

RESULTS

The results indicate an overall improvement in coverage across all indicators over time, but with a higher concentration of data points towards higher coverage among the wealthiest groups, although the poorest quintile continues to have low coverage in all regions. The UHC service coverage sub-index on RMNCH shows that Pakistan has improved from 45 to 63 overall, while Punjab improved from 50 to 59 and Sindh from 43 to 55. The highest improvement is evident in Khyber Pakhtunkhwa (KP) province, which has increased from 31 in 2012 to 51 in 2017. All regions made slow progress in narrowing the gap between the poorest and wealthiest groups, with particularly noteworthy improvements in KP and Sindh, as indicated by the parity ratio. The RMNCH service coverage sub-index gap was the greatest among women aged 15-19 years, those who belonged to the poorest wealth quintile, had no education, and resided in rural areas.

CONCLUSIONS

Analysing existing data sources from an equity lens supports evidence-based policies, programs and practices with a focus on disadvantaged subgroups.

Maternal Health Care Service Utilization in the Post-Conflict Democratic Republic of Congo: An Analysis of Health Inequalities over Time

This study assessed inequality in maternal healthcare service utilization in the Democratic Republic of the Congo, using the Demographic and Health Surveys of 2007 and 2013-2014. We assessed the magnitude of inequality using logistical regressions, analyzed the distribution of inequality using the Gini coefficient and the Lorenz curve, and used the Wagstaff method to assess inequality trends. Women were less likely to have their first antenatal care visit within the first trimester and to attend more antenatal care visits when living in eastern Congo. Women in rural areas were less likely to deliver by cesarean section and to receive postnatal care. Women with middle, richer, and richest wealth indexes were more likely to complete more antenatal care visits, to deliver by cesarean section, and to receive postnatal care. Over time, inequality in utilization decreased for antenatal and postnatal care but increased for delivery by cesarean sections, suggesting that innovative strategies are needed to improve utilization among poorer, rural, and underserved women.

Going deeper with health equity measurement: how much more can surveys reveal about inequalities in health intervention coverage and mortality in Zambia?

BACKGROUND

Although Zambia has achieved notable improvements in reproductive, maternal, newborn and child health (RMNCH), continued efforts to address gaps are essential to reach the Sustainable Development Goals by 2030. Research to better uncover who is being most left behind with poor health outcomes is crucial. This study aimed to understand how much more demographic health surveys can reveal about Zambia's progress in reducing inequalities in under-five mortality rates and RMNCH intervention coverage.

METHODS

Using four nationally-representative Zambia Demographic Health Surveys (2001/2, 2007, 2013/14, 2018), we estimated under-five mortality rates (U5MR) and RMNCH composite coverage indices (CCI) comparing wealth quintiles, urban-rural residence and provinces. We further used multi-tier measures including wealth deciles and double disaggregation between wealth and region (urban residence, then provinces). These were summarised using slope indices of inequality, weighted mean differences from overall mean, Theil and concentration indices.

RESULTS

Inequalities in RMNCH coverage and under-five mortality narrowed between wealth groups, residence and provinces over time, but in different ways. Comparing measures of inequalities over time, disaggregation with multiple socio-economic and geographic stratifiers was often valuable and provided additional insights compared to conventional measures. Wealth quintiles were sufficient in revealing mortality inequalities compared to deciles, but comparing CCI by deciles provided more nuance by showing that the poorest 10% were left behind by 2018. Examining wealth in only urban areas helped reveal closing gaps in under-five mortality and CCI between the poorest and richest quintiles. Though challenged by lower precision, wealth gaps appeared to close in every province for both mortality and CCI. Still, inequalities remained higher in provinces with worse outcomes.

CONCLUSIONS

Multi-tier equity measures provided similarly plausible and precise estimates as conventional measures for most comparisons, except mortality among some wealth deciles, and wealth tertiles by province. This suggests that related research could readily use these multi-tier measures to gain deeper insights on inequality patterns for both health coverage and impact indicators, given sufficient samples. Future household survey analyses using fit-for-purpose equity measures are needed to uncover intersecting inequalities and target efforts towards effective coverage that will leave no woman or child behind in Zambia and beyond.

Time trends in ethnic inequalities in child health and nutrition: analysis of 59 low and middle-income countries

BACKGROUND

Although ethnicity is a key social determinant of health, there are no global analyses aimed at identifying countries that succeeded in reducing ethnic gaps in child health and nutrition.

METHODS

We identified 59 low and middle-income countries with at least two surveys since 2010 providing information on ethnicity or language and on three outcomes: under-five mortality, child stunting prevalence and a composite index (CCI) based on coverage with eight maternal and child health interventions. Firstly, we calculated population-weighted and unweighted measures of inequality among ethnic or language groups within each country. These included the mean difference from the overall national mean (absolute inequality), mean ratio relative to the overall mean (relative inequality), and the difference and ratio between the best- and worst-performing ethnic groups. Second, we examined annual changes in these measures in terms of annual absolute and relative changes. Thirdly, we compared trends for each of the three outcome indicators and identified exemplar countries with marked progress in reducing inequalities.

RESULTS

For each outcome indicator, annual changes in summary measures tended to show moderate (Pearson correlation coefficients of 0.4 to 0.69) or strong correlations (0.7 or higher) among themselves, and we thus focused on four of the 12 measures: absolute and relative annual changes in mean differences and ratios from the overall national mean. On average, absolute ethnic or language group inequalities tended to decline slightly for the three outcomes, and relative inequality declined for stunting and CCI, but increased for mortality. Correlations for annual trends across the three outcomes were inconsistent, with several countries showing progress in terms of one outcome but not in others. Togo and Uganda showed with the most consistent progress in reducing inequality, whereas the worst performers were Nigeria, Moldova, Kyrgyzstan, Sao Tome and Principe, and Burkina Faso.

CONCLUSIONS

Although measures of annual changes in ethnic or language group inequalities in child health were consistently correlated within each outcome, analyses of such inequalities should rely upon multiple measures. Countries showing progress in one child health outcome did not necessarily show improvements in the remaining outcomes. In-depth analyses at country level are needed to understand the drivers of success in reducing ethnic gaps.

Assessing Potential Exemplars in Reducing Zero-Dose Children: A Novel Approach for Identifying Positive Outliers in Decreasing National Levels and Geographic Inequalities in Unvaccinated Children

BACKGROUND

Understanding past successes in reaching unvaccinated or "zero-dose" children can help inform strategies for improving childhood immunization in other settings. Drawing from positive outlier methods, we developed a novel approach for identifying potential exemplars in reducing zero-dose children.

METHODS

Focusing on 2000-2019, we assessed changes in the percentage of under-one children with no doses of the diphtheria-tetanus-pertussis vaccine (no-DTP) across two geographic dimensions in 56 low- or lower-middle-income countries: (1) national levels; (2) subnational gaps, as defined as the difference between the 5th and 95th percentiles of no-DTP prevalence across second administrative units. Countries with the largest reductions for both metrics were considered positive outliers or potential 'exemplars', demonstrating exception progress in reducing national no-DTP prevalence and subnational inequalities. Last, so-called "neighborhood analyses" were conducted for the Gavi Learning Hub countries (Nigeria, Mali, Uganda, and Bangladesh), comparing them with countries that had similar no-DTP measures in 2000 but different trajectories through 2019.

RESULTS

From 2000 to 2019, the Democratic Republic of the Congo, Ethiopia, and India had the largest absolute decreases for the two no-DTP dimensions-national prevalence and subnational gaps-while Bangladesh and Burundi registered the largest relative reductions for each no-DTP metric. Neighborhood analyses highlighted possible opportunities for cross-country learning among Gavi Learning Hub countries and potential exemplars in reducing zero-dose children.

CONCLUSIONS

Identifying where exceptional progress has occurred is the first step toward better understanding how such gains could be achieved elsewhere. Further examination of how countries have successfully reduced levels of zero-dose children-especially across variable contexts and different drivers of inequality-could support faster, sustainable advances toward greater vaccination equity worldwide.

Formal health care costs among older people in Ireland: methods and estimates using The Irish Longitudinal Study on Ageing (TILDA)

Background: Reliable data on health care costs in Ireland are essential to support planning and evaluation of services. New unit costs and high-quality utilisation data offer the opportunity to estimate individual-level costs for research and policy. Methods: Our main dataset was The Irish Longitudinal Study on Ageing (TILDA). We used participant interviews with those aged 55+ years in Wave 5 (2018) and all end-of-life interviews (EOLI) to February 2020. We weighted observations by age, sex and last year of life at the population level. We estimated total formal health care costs by combining reported usage in TILDA with unit costs (non-acute care) and public payer reimbursement data (acute hospital admissions, medications). All costs were adjusted for inflation to 2022, the year of analysis. We examined distribution of estimates across the population, and the composition of costs across categories of care, using descriptive statistics. We identified factors associated with total costs using generalised linear models. Results: There were 5,105 Wave 5 observations, equivalent at the population level to 1,207,660 people aged 55+ years and not in the last year of life, and 763 EOLI observations, equivalent to 28,466 people aged 55+ years in the last year of life. Mean formal health care costs in the weighted sample were EUR 8,053; EUR 6,624 not in the last year of life and EUR 68,654 in the last year of life. Overall, 90% of health care costs were accounted for by 20% of users. Multiple functional limitations and proximity to death were the largest predictors of costs. Other factors that were associated with outcome included educational attainment, entitlements to subsidised care and serious chronic diseases. Conclusions: Understanding the patterns of costs, and the factors associated with very high costs for some individuals, can inform efforts to improve patient experiences and optimise resource allocation.

How Zambia reduced inequalities in under-five mortality rates over the last two decades: a mixed-methods study

BACKGROUND

Zambia experienced a major decline in under-five mortality rates (U5MR), with one of the fastest declines in socio-economic disparities in sub-Saharan Africa in the last two decades. We aimed to understand the extent to which, and how, Zambia has reduced socio-economic inequalities in U5MR since 2000.

METHODS

Using nationally-representative data from Zambia Demographic Health Surveys (2001/2, 2007, 2013/14 and 2018), we examined trends and levels of inequalities in under-five mortality, intervention coverage, household water and sanitation, and fertility. This analysis was integrated with an in-depth review of key policy and program documents relevant to improving child survival in Zambia between 1990 and 2020.

RESULTS

The under-five mortality rate (U5MR) declined from 168 to 64 deaths per 1000 live births between 2001/2 and 2018 ZDHS rounds, particularly in the post-neonatal period. There were major reductions in U5MR inequalities between wealth, education and urban-rural residence groups. Yet reduced gaps between wealth groups in estimated absolute income or education levels did not simultaneously occur. Inequalities reduced markedly for coverage of reproductive, maternal, newborn and child health (RMNCH), malaria and human immunodeficiency virus interventions, but less so for water or sanitation and fertility levels. Several policy and health systems drivers were identified for reducing RMNCH inequalities: policy commitment to equity in RMNCH; financing with a focus on disadvantaged groups; multisectoral partnerships and horizontal programming; expansion of infrastructure and human resources for health; and involvement of community stakeholders and service providers.

CONCLUSION

Zambia's major progress in reducing inequalities in child survival between the poorest and richest people appeared to be notably driven by government policies and programs that centrally valued equity, despite ongoing gaps in absolute income and education levels. Future work should focus on sustaining these gains, while targeting families that have been left behind to achieve the sustainable development goal targets.

Geographical and Socioeconomic Inequalities in Maternal Mortality in Ethiopia

In Ethiopia, social inequalities are common among women residing in deprived communities and between the poor and the rich. This study aimed to assess geographical and socioeconomic inequalities in maternal mortality using nationally representative data from Ethiopian Demographic and Health Surveys conducted from 2000 to 2019 (inclusive). Four health-related geographical and socioeconomic factors were assessed. Four relative and absolute health-related inequality measures were also used: rate difference, rate ratio, population attributable risk, and population attributable fraction. A total of 61,610 sister siblings were included. The highest reported inequalities in maternal mortality were residence-related (46% in 2005 among rural women), region-related (66% in 2005 among women in Beshangul-Gumuz regional state), education-related (83% in 2011 among women with primary education), and wealth-related (47% in 2000 among poorer women). So, if education-related inequalities in maternal mortality alone had been averted, the national maternal mortality could have been reduced by 52% in 2000, 51% in 2005, 83% in 2011, and 76% in 2016. In conclusion, inequalities in maternal mortality were high and concentrated among poorer women, women with lower educational status, and rural areas. Therefore, reducing the effects of poverty including social determinants of maternal mortality is recommended.

Exploring the subnational inequality and heterogeneity of the impact of routine measles immunisation in Africa

Despite vaccination being one of the most effective public health interventions, there are persisting inequalities and inequities in immunisation. Understanding the differences in subnational vaccine impact can help improve delivery mechanisms and policy. We analyse subnational vaccination coverage of measles first-dose (MCV1) and estimate patterns of inequalities in impact, represented as deaths averted, across 45 countries in Africa. We also evaluate how much this impact would improve under more equitable vaccination coverage scenarios. Using coverage data for MCV1 from 2000-2019, we estimate the number of deaths averted at the first administrative level. We use the ratio of deaths averted per vaccination from two mathematical models to extrapolate the impact at a subnational level. Next, we calculate inequality for each country, measuring the spread of deaths averted across its regions, accounting for differences in population. Finally, using three more equitable vaccination coverage scenarios, we evaluate how much impact of MCV1 immunisation could improve by (1) assuming all regions in a country have at least national coverage, (2) assuming all regions have the observed maximum coverage; and (3) assuming all regions have at least 80% coverage. Our results show that progress in coverage and reducing inequality has slowed in the last decade in many African countries. Under the three scenarios, a significant number of additional deaths in children could be prevented each year; for example, under the observed maximum coverage scenario, global MCV1 coverage would improve from 76% to 90%, resulting in a further 363(95%CrI:299-482) deaths averted per 100,000 live births. This paper illustrates that estimates of the impact of MCV1 immunisation at a national level can mask subnational heterogeneity. We further show that a considerable number of deaths could be prevented by maximising equitable access in countries with high inequality when increasing the global coverage of MCV1 vaccination.

Socioeconomic inequalities in prostate cancer screening in low- and middle-income countries: An analysis of the demographic and health surveys between 2010 and 2019

INTRODUCTION

Prostate cancer screening is a valuable public health tool in the early detection of prostate cancer. In this study, we aimed to determine the socioeconomic inequalities in the coverage of prostate cancer screening in Low and Middle-Income Countries (LMICs).

METHODS

This was a retrospective analysis of men's recode data files that were collected by the Demographic and Health Surveys (DHS) in LMICs (Armenia, Colombia, Honduras, Kenya, Namibia, Dominican Republic, and the Philippines). We included surveys that were conducted from 2010 to 2020 and measured the coverage of prostate cancer screening and the study population was men aged 40 years or older. Socioeconomic inequality was measured using the Concertation Index (CIX) and the Slope Index of Inequality (SII).

RESULTS

Eight surveys from seven countries were included in the study with a total of 47,863 men. The coverage of prostate cancer screening was below 50% in all the countries with lower rates in the rural areas compared to the urban areas. The pooled estimate for the coverage of screening was 10.4% [95% CI, 7.9-12.9%). Inequalities in the coverage of prostate cancer screening between the wealth quintiles were observed in the Democratic Republic, Honduras, and Namibia. Great variation in inequalities in the coverage of prostate cancer screening between rural and urban residents was observed in Colombia and Namibia.

CONCLUSION

The coverage of prostate cancer screening was low in LMICs with variations in the coverage by the quintile of wealth (pro-rich) and type of place of residence (pro-urban).

POLICY SUMMARY

To achieve the desired impact of prostate cancer screening services in LMICs, it is important that the coverage of screening programs targets men living in rural areas and those in low wealth quintiles.

Ethnic disparities in immunisation: analyses of zero-dose prevalence in 64 countries

BACKGROUND

The Sustainable Development Goals (SDGs) recommend stratification of health indicators by ethnic group, yet there are few studies that have assessed if there are ethnic disparities in childhood immunisation in low-income and middle-income countries (LMICs).

METHODS

We identified 64 LMICs with standardised national surveys carried out since 2010, which provided information on ethnicity or a proxy variable and on vaccine coverage; 339 ethnic groups were identified after excluding those with fewer than 50 children in the sample and countries with a single ethnic group. Lack of vaccination with diphtheria-pertussis-tetanus vaccine-a proxy for no access to routine vaccination or 'zero-dose' status-was the outcome of interest. Differences among ethnic groups were assessed using a χ2 test for heterogeneity. Additional analyses controlled for household wealth, maternal education and urban-rural residence.

FINDINGS

The median gap between the highest and lowest zero-dose prevalence ethnic groups in all countries was equal to 10 percentage points (pp) (IQR 4-22), and the median ratio was 3.3 (IQR 1.8-6.7). In 35 of the 64 countries, there was significant heterogeneity in zero-dose prevalence among the ethnic groups. In most countries, adjustment for wealth, education and residence made little difference to the ethnic gaps, but in four countries (Angola, Benin, Nigeria and Philippines), the high-low ethnic gap decreased by over 15 pp after adjustment. Children belonging to a majority group had 29% lower prevalence of zero-dose compared with the rest of the sample.

INTERPRETATION

Statistically significant ethnic disparities in child immunisation were present in over half of the countries studied. Such inequalities have been seldom described in the published literature. Regular analyses of ethnic disparities are essential for monitoring trends, targeting resources and assessing the impact of health interventions to ensure zero-dose children are not left behind in the SDG era.

Socioeconomic inequalities in the access to health services: a population-based study in Southern Brazil

Abstract This article aims to measure socioeconomic inequalities regarding access to health services, contact with health professionals, and specific health interventions. This was a cross-sectional population-based study with individuals aged 18 years or older, living in the city of Rio Grande. The outcomes were the following: Family Health Strategy (FHS) coverage; having a health insurance plan; receiving a visit of a community health worker; medical consultation; dental consultation; dietary counseling; having a class with a physical education professional; flu vaccination; mammography, cytopathological and prostate exams. Relative and absolute measures were used to assess inequalities in the distribution of the outcomes. There was a response rate of 91% (1,300 adults were interviewed). Coverage indicators ranged from 16.1%, for having a class with a physical education professional, to 80.0% for medical consultation. FHS coverage and visit of a community health agent presented higher proportions among the poorest while outcomes regarding contact with health professionals, screening exams and flu vaccine were more prevalent among richest group. We observed low coverage levels of access to health services and professionals in addition to marked socioeconomic inequalities.

Private Healthcare Expenditure in China: A Regional Comparative Analysis

Private (out-of-pocket) healthcare expenditure (PHCE) is a complex phenomenon that is shaped by many different factors. In this paper, we analyzed the influencing factors of PHCE in China, with a specific focus on regional differences. We found that old-age dependency ratio, income, and education have significant impacts on PHCE in all regions, whereas public HCE, number of beds in medical institutions, and economic development levels have significant impacts only in some regions. The results indicate that the government should pay attention to regional inequality and implement targeted adjustments for improving the health service system. In particular, we recommend: (1) monitoring regional inequality in PHCE and other healthcare issues to unmask geographical differences in healthcare interventions; (2) adopting regional-specific policy measures—the government should divert some resources from eastern to western and central regions to increasing the support for public health undertakings and improve the quality of the local health services while providing matching medical resources by targeting the needs of the residents; (3) paying more attention to the healthcare demand of the elderly population; and (4) improving the education level of residents to improve public health and avoid high PHCE.

Subnational inequalities in diphtheria-tetanus-pertussis immunization in 24 countries in the African Region

OBJECTIVE

To analyse subnational inequality in diphtheria-tetanus-pertussis (DTP) immunization dropout in 24 African countries using administrative data on receipt of the first and third vaccine doses (DTP1 and DTP3, respectively) collected by the Joint Reporting Process of the World Health Organization and the United Nations Children's Fund.

METHODS

Districts in each country were grouped into quintiles according to the proportion of children who dropped out between DTP1 and DTP3 (i.e. the dropout rate). We used six summary measures to quantify inequalities in dropout rates between districts and compared rates with national dropout rates and DTP1 and DTP3 immunization coverage.

FINDINGS

The median dropout rate across countries was 2.4% in quintiles with the lowest rate and 14.6% in quintiles with the highest rate. In eight countries, the difference between the highest and lowest quintiles was 14.9 percentage points or more. In most countries, underperforming districts in the quintile with the highest rate tended to lag disproportionately behind the others. This divergence was not evident from looking only at national dropout rates. Countries with the largest inequalities in absolute subnational dropout rate tended to have lower estimated national DTP1 and DTP3 immunization coverage.

CONCLUSION

There were marked inequalities in DTP immunization dropout rates between districts in most countries studied. Monitoring dropout at the subnational level could help guide immunization interventions that address inequalities in underserved areas, thereby improving overall DTP3 coverage. The quality of administrative data should be improved to ensure accurate and timely assessment of geographical inequalities in immunization.

Can health information through mobile phones close the divide in health behaviours among the marginalised? An equity analysis of Kilkari in Madhya Pradesh, India

Kilkari is one of the largest maternal mobile messaging programmes in the world. It makes weekly prerecorded calls to new and expectant mothers and their families from the fourth month of pregnancy until 1-year post partum. The programme delivers reproductive, maternal, neonatal and child health information directly to subscribers' phones. However, little is known about the reach of Kilkari among different subgroups in the population, or the differentiated benefits of the programme among these subgroups. In this analysis, we assess differentials in eligibility, enrolment, reach, exposure and impact across well-known proxies of socioeconomic position-that is, education, caste and wealth. Data are drawn from a randomised controlled trial (RCT) in Madhya Pradesh, India, including call data records from Kilkari subscribers in the RCT intervention arm, and the National Family Health Survey-4, 2015. The analysis identifies that disparities in household phone ownership and women's access to phones create inequities in the population eligible to receive Kilkari, and that among enrolled Kilkari subscribers, marginalised caste groups and those without education are under-represented. An analysis of who is left behind by such interventions and how to reach those groups through alternative communication channels and platforms should be undertaken at the intervention design phase to set reasonable expectations of impact. Results suggest that exposure to Kilkari has improved levels of some health behaviours across marginalised groups but has not completely closed pre-existing gaps in indicators such as wealth and education.

Delivery channels and socioeconomic inequalities in coverage of reproductive, maternal, newborn, and child health interventions: analysis of 36 cross-sectional surveys in low-income and middle-income countries

Background

Global reports have described inequalities in coverage of reproductive, maternal, newborn, and child health (RMNCH) interventions, but little is known about how socioeconomic inequality in intervention coverage varies across multiple low-income and middle-income countries (LMICs). We aimed to assess the association between wealth-related inequalities in coverage of RMNCH interventions.

Methods

In this cross-sectional study, we identified publicly available Demographic Health Surveys and Multiple Indicator Cluster Surveys from LMICs containing information on household characteristics, reproductive health, women's and children's health, nutrition, and mortality. We identified the most recent survey from the period 2010–19 for 36 countries that contained data for our preselected set of 18 RMNCH interventions. 21 countries also had information on two common malaria interventions. We classified interventions into four groups according to their predominant delivery channels: health facility based, community based, environmental, and culturally driven (including breastfeeding practices). Within each country, we derived wealth quintiles from information on household asset indices. We studied two summary measures of within-country wealth-related inequality: absolute inequalities (akin to coverage differences among children from wealthy and poor households) using the slope index of inequality (SII), and relative inequalities (akin to the ratio of coverage levels for wealthy and poor children) using the concentration index (CIX). Pro-poor inequalities are present when intervention coverage decreased with increasing household wealth, and pro-rich inequalities are present when intervention coverage increased as household wealth increased.

Findings

Across the 36 LMICs included in our analyses, coverage of most interventions had pro-rich patterns in most countries, except for two breastfeeding indicators that mostly had higher coverage among poor women, children and households than wealthy women, children, and households. Environmental interventions were the most unequal, particularly use of clean fuels, which had median levels of SII of 48·8 (8·6–85·7) and CIX of 67·0 (45·0–85·8). Interventions primarily delivered in health facilities—namely institutional childbirth (median SII 46·7 [23·1–63·3] and CIX 11·4 [4·5–23·4]) and antenatal care (median SII 26·7 [17·0–47·2] and CIX 10·0 [4·2–17·1])—also usually had pro-rich patterns. By comparison, primarily community-based interventions, including those against malaria, were more equitably distributed—eg, oral rehydration therapy (median SII 9·4 [2·9–19·0] and CIX 3·4 [1·3–25·0]) and polio immunisation (SII 12·1 [2·3–25·0] and CIX 3·1 [0·5–7·1]). Differences across the four types of delivery channels in terms of both inequality indices were significant (SII p=0·0052; CIX p=0·0048).

Interpretation

Interventions that are often delivered at community level are usually more equitably distributed than those primarily delivered in fixed facilities or those that require changes in the home environment. Policy makers need to learn from community delivery channels to promote more equitable access to all RMNCH interventions.

Funding

Bill & Melinda Gates Foundation and Wellcome Trust.

Translations

For the French, Portuguese and Spanish translations of the abstract see Supplementary Materials section.

Bellwether Procedures for Monitoring Subnational Variation of All-cause Perioperative Mortality in Brazil

BACKGROUND

All-cause perioperative mortality rate (POMR) is a commonly reported metric to assess surgical quality. Benchmarking POMR remains difficult due to differences in surgical volume and case mix combined with the burden of reporting and leveraging this complex and high-volume data. We seek to determine whether the pooled and individual procedure POMR of each bellwether (cesarean section, laparotomy, management of open fracture) correlate with state-level all-cause POMR in the interest of identifying benchmark procedures that can be used to make standardized regional comparisons of surgical quality.

METHODS

The Brazilian National Healthcare Database (DATASUS) was queried to identify unadjusted all-cause POMR for all patient admissions among public hospitals in Brazil in 2018. Bellwether procedures were identified as any procedure involving laparotomy, cesarean section, or treatment of open long bone fracture and then classified as emergent or elective. The pooled POMR of all bellwether procedures as well as for each individual bellwether procedure was compared with the all-cause POMR in each of the 26 states, and one federal district and correlations were calculated. Funnel plots were used to compare surgical volume to perioperative mortality for each bellwether procedure.

RESULTS

4,756,642 surgical procedures were reported to DATASUS in 2018: 237,727 emergent procedures requiring laparotomy, 852,821 emergent cesarean sections, and 210,657 open, long bone fracture repairs. Pooled perioperative mortality for all of the bellwether procedures was correlated with all-procedure POMR among states (r = 0.77, p < 0.001). POMR for emergency procedures (2.4%) correlated with the all-procedure (emergent and elective) POMR (1.6%, r = 0.93, p < .001), while POMR for elective procedures (0.4%) did not (p = .247). POMR for emergency laparotomy (4.4%) correlated with all-procedure POMR (1.6%, r = 0.52, p = .005), as did the POMR for open, long bone fractures (0.8%, r = 0.61, p < .001). POMR for emergency cesarean section (0.05%) did not correlate with all-procedure POMR (p = 0.400). There was a correlation between surgical volume and emergency laparotomy POMR (r = - 0.53, p = .004), but not for emergency cesarean section or open, long bone fractures POMR.

CONCLUSION

Procedure-specific POMR for laparotomy and open long bone fracture correlates modestly with all-procedure POMR among Brazilian states which is primarily driven by emergency procedure POMR. Selective reporting of emergency laparotomy and open fracture POMR may be a useful surrogate to guide subnational surgical policy decisions.

National and subnational coverage and inequalities in reproductive, maternal, newborn, child, and sanitary health interventions in Ecuador: a comparative study between 1994 and 2012

BACKGROUND

Latin America (LA) has experienced constant economic and political crises that coincide with periods of greater inequality. Between 1996 and 2007 Ecuador went through one of the greatest political and socio-economic crises in Latin America, a product of neo-liberal economic growth strategies. Between 2007 and 2012 it regained political stability, promoted redistributive policies, and initiated greater social spending. To understand the possible influence on the political and economic context, we analyzed the coverage and inequalities in five Reproductive, Maternal, and Child Health (RMNCH) and two water and sanitation interventions using survey data from a broad time window (1994-2012), at a national and subnational level.

METHODS

The series cross-sectional study used data from four representative national health surveys (1994, 1999, 2004 and 2012). Coverage of RMNCH and sanitary interventions were stratified by wealth quintiles (as a measure of the socio-economic level), urban-rural residence and the coverage for each province was mapped. Mean difference, Theil index and Variance-weighted least squares regression were calculated to indicate subnational and temporal changes.

RESULTS

From 1994 to 2004, Ecuador evidenced large inequalities whose reduction becomes more evident in 2012. Coverage in RMNCH health service-related interventions showed a rather unequal distribution among the socioeconomic status and across provinces in 1994 and 2004, compared to 2012. Sanitary interventions on the contrary, showed the most unequal interventions, and failed to improve or even worsened in several provinces. While there is a temporary improvement also at the subnational level, in 2012 several provinces maintain low levels of coverage.

CONCLUSIONS

The remarkable reduction of inequalities in coverage of RMNCH interventions in 2012 clearly coincides with periods of regained political stability, promoted redistributive policies, and greater social spending, different from the former neo-liberal reforms which is consistent with observations made in other Latin American countries. Territorial heterogeneity and great inequalities specially related with sanitation interventions persists. It is necessary to obtain high quality information with sharper geographic desegregation that allows to identify and understand local changes over time. This would help to prioritize intervention strategies, introduce multisectoral policies and investments that support local governments.

Current situation and distribution equality of public health resource in China

Background

The public health system has been developed in China for several years while no research explores its distribution. This research aims to describe the variation and equality of public health allocation from 2013 to 2018 and explore the source of inequality.

Methods

Data in this research was obtained from the China Health Statistics Yearbook 2014 to 2019 and the China Statistical Yearbook 2019. Four indicators were chosen in describing the development and current situation of the public health system. Three of them were used to evaluate allocation equality. 31 provinces were categorized into western, middle, and eastern groups based on geographical and economic conditions. Total allocation equality, inter- and intra-difference were all measured by the Theil index.

Results

All indicators showed a stably upwards trend except for the number of public health institutions. The allocation gap of the public health institution per km² was larger than that per 10,000 capita. Theil index of three indicators continually rose from 2013 to 2018 and the inequality of public health institutions allocation was the highest one. The western region had the highest Theil index in technical personnel and beds allocation. Among the three regions, the western region contributed most to inequality.

Conclusions

The public health workforces and institutions are still under the requirement of the National Medical and Health Service System Plan. From 2013 to 2018, the equality of public health resources stably decreases, which is mainly contributed by the internal difference within the western region. Further research should be done to explore the possible cause of the results. Problems founded in this research should be solved by multisectoral cooperation.

Understanding multifactorial drivers of child stunting reduction in Exemplar countries: a mixed-methods approach

BACKGROUND

Several countries have notably reduced childhood stunting relative to economic growth over the past 15-20 y. The Exemplars in Stunting Reduction project, or "Exemplars," studies success factors among these countries with a lens toward replicability.

OBJECTIVES

This paper details the standardized mixed-methods framework for studying determinants of childhood stunting reduction applied in Exemplars studies.

METHODS

An expert technical advisory group (TAG), criteria for identifying Exemplar countries, evidence-based frameworks, mixed methodologies (quantitative, qualitative, policy, literature review), effective research partnerships, case study process and timeline, and data triangulation and corroboration are presented.

RESULTS

Experts in health, nutrition, and evaluation methods were selected at the study outset to provide technical support to all phases of research (TAG). Exemplar countries were selected by the TAG, who considered quantitative data (e.g., annual rates of stunting change compared with economic growth, country population size) and qualitative insights (e.g., logistics of country work, political stability). Experienced country research partners were selected and an inception meeting with stakeholder consultations was held to launch research and garner support. Evidence-based conceptual frameworks underpinned all Exemplars research activities. A systematic review of published peer-reviewed and grey literature was undertaken, along with in-depth policy and program analysis of nutrition-specific and -sensitive investments. Both descriptive and advanced quantitative analysis was undertaken (e.g., equity analyses, difference-in-difference regression, Oaxaca-Blinder decomposition). Qualitative data collection using in-depth interviews and focus groups was conducted with national and community stakeholders (i.e., child care workers and mothers) to understand country experiences. The case study process was iterative, and all research outputs were triangulated to develop the stunting reduction narrative for each country. Findings were shared with country experts for weigh-in and corroboration through dissemination events.

CONCLUSIONS

Exemplars research uses a mixed-methods framework for studying positive outliers that can be applied across diverse health and development outcomes.

Measuring socioeconomic and health financing inequality in maternal mortality in Colombia: a mixed methods approach

Background

Understanding health financing reforms and means is key to evaluate how maternal health has improved. Problems related to health financing policies are contributing to inadequate quality of care and inequitable use of healthcare by pregnant women, resulting in poor maternal health outcomes. The purpose of the study was to measure socioeconomic and health financing related inequality in maternal mortality in Colombia as well as identifying potential epicenters of this inequality.

Methods

The data used was obtained from National Information of Social Protection (Sispro), the Department of Planning and National Statistics Department. Maternal mortality ratios were calculated by health insurance scheme and disaggregated by health spending per capita quintiles to allow for closer examination of inequality. The Slope Index of Inequality and Concentration Index were estimated to express absolute and relative inequality. We conducted interviews with key informants involved in the implementation of health financing and maternal health policies.

Results

The main finding shows inequality in maternal mortality across regions and in particular in the subsidized health insurance. The contributory health insurance scheme is closing gaps over time, but inequality in the subsidized scheme is significantly widening, which impacts the severity of overall measurements of inequality. 20% of territories with the lowest health spending per capita have reached 35% of maternal mortality, and it such rates are worsening. This means that there is a marginal exclusion in which most of maternal deaths still occur in the regions with lowest resources.

Conclusions

Beyond the key issues in health financing, issues of quality of care must be addressed. The country must define its own approach to financing for maternal health coverage given its unique situation and starting point. Potential policy implications that emerged are: i) afro-Colombian, indigenous, poorer and migrant women must be put at the center of the maternal health care services; ii) better skills, Reproductive, Maternal, Newborn and Child Health RMNCH training and health worker retention strategies and training in rural, insular and remote geographical areas; ii) a better understanding of provider payment mechanisms and the incentives that influence provider behaviors; and iv) inequality prompt calls for a targeted approach, whereby care is directed toward the most disadvantaged regions.

Association between ethnicity and under-5 mortality: analysis of data from demographic surveys from 36 low-income and middle-income countries

Background

The UN Sustainable Development Goals (SDGs) call for stratification of social indicators by ethnic groups; however, no recent multicountry analyses on ethnicity and child survival have been done in low-income and middle-income countries (LMICs).

Methods

We used data from Demographic and Health Surveys and Multiple Indicator Cluster Surveys collected between 2010 and 2016, from LMICs that provided birth histories and information on ethnicity or a proxy variable. We calculated neonatal (age 0–27 days), post-neonatal (age 28–364 days), child (age 1–4 years), and under-5 mortality rates (U5MRs) for each ethnic group within each country. We assessed differences in mortality between ethnic groups using a likelihood ratio test, Theil's index, and between-group variance. We used multivariable analyses of U5MR by ethnicity to adjust for household wealth, maternal education, and urban–rural residence.

Findings

We included data from 36 LMICs, which included 2 812 381 livebirths among 415 ethnic groups. In 25 countries, significant differences in U5MR by ethnic group were identified (all p<0·05 likelihood ratio test). In these countries, the median mortality ratio between the ethnic groups with the highest and lowest U5MRs was 3·3 (IQR 2·1–5·2; range 1·5–8·5), whereas among the remaining 11 countries, the median U5MR ratio was 1·9 (IQR 1·7–2·5; range 1·4–10·0). Ethnic gaps were wider for child mortality than for neonatal or post-neonatal mortality. In nearly all countries, adjustment for wealth, education, and place of residence did not affect ethnic gaps in mortality, with the exception of Guatemala, India, Laos, and Nigeria. The largest ethnic group did not have the lowest U5MR in any of the countries studied.

Interpretation

Significant ethnic disparities in child survival were identified in more than two-thirds of the countries studied. Regular analyses of ethnic disparities are essential for monitoring trends, targeting, and assessing the impact of health interventions. Such analyses will contribute to the effort towards leaving no one behind, which is at the centre of the SDGs.

Funding

Bill & Melinda Gates Foundation, UNICEF, Wellcome Trust, Associação Brasileira de Saúde Coletiva.

Changing relative and absolute socioeconomic health inequalities in Ontario, Canada: A population-based cohort study of adult premature mortality, 1992 to 2017

BACKGROUND

This study aimed to characterize trends in absolute and relative socioeconomic inequalities in adult premature mortality between 1992 and 2017, in the context of declining population-wide mortality rates. We conducted a population-based cohort study of all adult premature deaths in Ontario, Canada using provincial vital statistics data linked to census-based, area-level deprivation indices for socioeconomic status.

METHODS

The cohort included all individuals eligible for Ontario's single-payer health insurance system at any time between January 1, 1992 and December 31, 2017 with a recorded Ontario place of residence and valid socioeconomic status information (N = 820,370). Deaths between ages 18 and 74 were used to calculate adult premature mortality rates per 1000, stratified by provincial quintile of material deprivation. Relative inequalities were measured using Relative Index of Inequality (RII) measures. Absolute inequalities were estimated using Slope Index of Inequality (SII) measures. All outcome measures were calculated as sex-specific, annual measures for each year from 1992 to 2017.

RESULTS

Premature mortality rates declined in all socioeconomic groups between 1992 and 2017. Relative inequalities in premature mortality increased over the same period. Absolute inequalities were mostly stable between 1992 and 2007, but increased dramatically between 2008 and 2017, with larger increases to absolute inequalities seen in females than in males.

CONCLUSIONS

As in other developed countries, long-term downward trends in all-cause premature mortality in Ontario, Canada have shifted to a plateau pattern in recent years, especially in lower- socioeconomic status subpopulations. Determinants of this may differ by setting. Regular monitoring of mortality by socioeconomic status is the only way that this phenomenon can be detected sensitively and early, for public health attention and possible corrective action.

Determinants of geographical inequalities for DTP3 vaccine coverage in sub-Saharan Africa

Childhood immunization is one of the most effective health interventions, making it a key indicator of progress towards universal health coverage. In the last decade, improvements in coverage have been made globally, however, slow progress has been documented in sub-Saharan Africa with considerable subnational variations. We explore potential drivers of equitable immunization services based on subnational DTP3 coverage estimates. Using vaccine coverage at the 5 by 5 km area from 2000 to 2016, we quantify inequality using three measures. We assess the shortfall inequality which is the average deviation across subnational units from that with the highest coverage for each country. Secondly we estimate the threshold index, the proportion of children below a globally set subnational coverage target, and lastly, a Gini coefficient representing the within-country distribution of coverage. We use time series analyses to quantify associations with immunization expenditures controlling for country socio-economic and population characteristics. Development assistance, maternal education and governance were associated with reductions in inequality. Furthermore, high quality governance was associated with a stronger relationship between development assistance and reductions in inequality. Results from this analysis also indicate that countries with the lowest coverage suffer the highest inequalities. We highlight growing inequalities among countries which have met national coverage targets such as South Africa and Kenya. In 2016, values for the shortfall inequality ranged from 1% to 43%, the threshold index from 0% to 100% and Gini coefficient from 0.01 to 0.37. Burundi, Comoros, Eswatini, Lesotho, Namibia, Rwanda, and Sao Tome and Principe had the least shortfall inequality (<5%) while Angola, Ethiopia and Nigeria had values greater than 40%. A similar picture was noted for the other dimensions of inequality among these particular countries. Immunization program investments offer promise in addressing inequality, however, domestic mechanisms for resource implementation and accountability should be strengthened to maximize gains in coverage.

Large and persistent subnational inequalities in reproductive, maternal, newborn and child health intervention coverage in sub-Saharan Africa

Subnational inequalities have received limited attention in the monitoring of progress towards national and global health targets during the past two decades. Yet, such data are often a critical basis for health planning and monitoring in countries, in support of efforts to reach all with essential interventions. Household surveys provide a rich basis for interventions coverage indicators on reproductive, maternal, newborn and child health (RMNCH) at the country first administrative level (regions or provinces). In this paper, we show the large subnational inequalities that exist in RMNCH coverage within 39 countries in sub-Saharan Africa, using a composite coverage index which has been used extensively by Countdown to 2030 for Women's, Children's and Adolescent's Health. The analyses show the wide range of subnational inequality patterns such as low overall national coverage with very large top inequality involving the capital city, intermediate national coverage with bottom inequality in disadvantaged regions, and high coverage in all regions with little inequality. Even though nearly half of the 34 countries with surveys around 2004 and again around 2015 appear to have been successful in reducing subnational inequalities in RMNCH coverage, the general picture shows persistence of large inequalities between subnational units within many countries. Poor governance and conflict settings were identified as potential contributing factors. Major efforts to reduce within-country inequalities are required to reach all women and children with essential interventions.

Assessing health system performance: effective coverage at the Mexican Institute of Social Security

Universal health coverage is a national priority in Mexico, with active efforts to expand public healthcare system access, increase financial protection and improve quality of care. We estimated effective coverage of multiple conditions within the Mexican Institute of Social Security (IMSS), which covers 62 million individuals. We identified routinely collected performance indicators at IMSS from 2016 related to use and quality of care for conditions avertable with high-quality healthcare; where candidate indicators were available, we quantified need for service from a population-representative survey and calculated effective coverage as proportion of individuals in need who experience potential health gains. We assessed subnational inequality across 32 states, and we weighted conditions by relative contribution to national disease burden to estimate composite effective coverage. Conditions accounting for 51% of healthcare-avertable disability-adjusted life years lost in Mexico could be assessed: antenatal care, delivery care, newborn care, childhood diarrhoea, cardiovascular disease and diabetes. Estimated effective coverage ranged from a low of 27% for childhood diarrhoea to a high of 74% for newborn care. Substantial inequality in effective coverage existed between states, particularly for maternal and child conditions. Overall effective coverage of these six conditions in IMSS was 49% in 2016. Gaps in use and quality of care must be addressed to ensure good health for all in Mexico. Despite extensive monitoring of health status and services in Mexico, currently available data are inadequate to the task of fully and routinely assessing health system effective coverage. Leaders at IMSS and similar healthcare institutions must be more purposeful in planning the assessment of population need, utilization of care and quality impacts of care to enable linkage of these data and disaggregation by location or population sub-group. Only then can complex health systems be fairly and fully evaluated.

Not all inequalities are equal: differences in coverage across the continuum of reproductive health services

Reducing inequalities in health service coverage is central to achieving the larger goal of universal health coverage. Reproductive health services are part of evidence-based health interventions that comprise a minimum set of essential health interventions that all countries should be able to provide. This paper shows patterns in inequalities in three essential reproductive health services that span a continuum of care—contraceptive use, antenatal care during pregnancy and delivery at a health facility. We highlight coverage gaps and their impacts across geographical regions, key population subgroups and measures of inequality. We focus on reproductive age women (15–49 years) in 10 geographical regions in Africa, Asia and Latin America and the Caribbean. We examine inequalities by age (15–19, 20–24, 25–34 and 35–49 years), household wealth quintile, residence (rural or urban) and parity. Data on service coverage and the population in need are from 84 nationally representative surveys. Our results show that dominant inequalities in contraceptive coverage are varied, and include large disparities and impact by age group, compared with maternal health services, where inequalities are largest by economic status and urban–rural residence. Using multiple measures of inequality (relative, absolute and population impact) not only helps to show if there are consistent patterns in inequalities but also whether few or many different approaches are needed to reduce these inequalities and where resources could be prioritised to reach the largest number of people in need.

Evaluation of data availability on population health indicators at the regional level across the European Union

BACKGROUND

The ability to measure regional health inequalities across Europe and to build adequate population health indices depends significantly on the availability of reliable and comparable data at the regional level. Within the scope of the EU-funded project EURO-HEALTHY, a Population Health Index (PHI) was built. This model aggregates 39 indicators considered relevant by experts and stakeholders to evaluate and monitor population health on the regional level within the European Union (269 regions). The aim of this research was to assess the data availability for those indicators. As a subsequent aim, an adequate protocol to overcome issues arising from missing data will be presented, as well as key messages for both national and European statistical authorities meant to improve data collection on population health.

METHODS

The methodology for the study includes three consecutive phases: (i) assessing the data availability for the respective indicators at the regional level for the last year available (ii) applying a protocol for missing data and completing the database and (iii) developing a scoring system ranging from 0 (no data available; worst) to 1 (all data available; best) to evaluate the availability of data by indicator and EU region.

RESULTS

Although the missing data on the set of the PHI indicators was significant, the mean availability score for the EURO-HEALTHY PHI indicators is 0.8 and the regional availability score is 0.7, which reveal the strength of the indicators as well as the data completeness protocol for missing data.

CONCLUSIONS

This study provides a comprehensive data availability assessment for population health indicators from multiple areas of concern, at the EU regional level. The results highlight that the data completeness protocol and availability scores are suitable tools to apply on any indicator's data source mapping. It also raises awareness to the urgent need for sub-national data in several domains and for closing the data gaps between and within countries. This will require policies clearly focused on improving equity between regions and a coordinated effort from the producers of data (the EU28 national statistics offices and EUROSTAT) and the stakeholders who design policies at EU, regional and local level.

Inequality in the distribution of ear, nose and throat specialists in 15 Latin American countries: an ecological study

OBJECTIVE

To explore sociogeographical inequalities in the availability and distribution of ear, nose and throat specialists (ENTs) in 15 Latin American (LA) countries.

DESIGN

Ecological.

SETTING

Spanish and Portuguese-speaking countries of LA.The number of registered ENTs in 2017 was obtained from the National ENT Society in each country.

OUTCOME MEASURES

The ENT rate/million population was calculated at the national and subnational (eg, state) level. Three measures were calculated to assess subnational distributive inequality of ENTs: (1) absolute and (2) relative index of dissimilarity; and (3) concentration index (using the Human Development Index as the equity stratifier). Finally, the ratio of ENTs/million population in the capital area compared with the rest of the country was calculated.

RESULTS

There was more than a 30-fold difference in the number of ENTs/million population across the included countries-from 61.0 in Argentina (95% CI 58.7 to 63.4) to 2.8 in Guatemala (95% CI 2.1 to 3.8). In all countries, ENTs were more prevalent in advantaged areas and in capital areas. To attain distributive equality, Paraguay would need to redistribute the greatest proportion of its ENT workforce (67.3%; 95% CI 57.8% to 75.6%) and Brazil the least (18.5%; 95% CI 17.6% to 19.5%).

CONCLUSIONS

There is high inequality in the number and distribution of ENTs between and within the 15 studied countries in LA. This evidence can be used to inform policies that improve access to ear and hearing services in the region, such as scale-up of training of ENTs and incentives to distribute specialists equally. These actions to reduce inequities, alongside addressing the social determinants of ear and hearing health, are essential to realise Universal Health Coverage.

Trends in Health Equity in the United States by Race/Ethnicity, Sex, and Income, 1993-2017

IMPORTANCE

Health equity is an often-cited goal of public health, included among the 4 overarching goals of the Department of Health and Human Services' Healthy People 2020. Yet it is difficult to find summary assessments of national progress toward this goal.

OBJECTIVES

To identify variation in several measures of health equity from 1993 to 2017 in the United States and to test whether there are significant time trends.

DESIGN, SETTING, AND PARTICIPANTS

Survey study using 25 years of data, from January 1, 1993, to December 31, 2017, from the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System to assess trends in health equity and health justice by race/ethnicity, sex, and income in 3 categories by year.

MAIN OUTCOMES AND MEASURES

Health equity was assessed separately for each of 2 health constructs: healthy days-the average of physical and mental healthy days over the previous 30 days-and general health in 5 categories, rescaled to approximate a continuous variable. For each health construct, average health was calculated along with 4 measures of health equity: disparities across 3 income groups; black-white disparities; health justice-a measure of the correlation of health outcomes with income, race/ethnicity and sex; and a summary health equity metric.

RESULTS

Among the 5 456 006 respondents, the mean (SD) age was 44.5 (12.7) years; 3 178 688 (58.3%) were female; 4 163 945 (76.3%) were non-Latinx white; 474 855 (8.7%) were non-Latinx black; 419 542 (7.7%) were Latinx; and 397 664 (7.3%) were of other race/ethnicity. The final sample included 5 456 006 respondents for self-reported health and 5 349 527 respondents for healthy days. During the 25-year period, the black-white gap showed significant improvement (year coefficient: healthy days, 0.021; 97.5% CI, 0.012 to 0.029; P < .001; self-reported health, 0.030; 97.5% CI, 0.025 to 0.035; P < .001). The health equity metric for self-reported health showed no significant trend. For healthy days, the Health Equity Metric declined over time (year coefficient: healthy days, -0.025; 97.5% CI, -0.033 to -0.017; P < .001). Health justice declined over time (year coefficient: healthy days, -0.045; 97.5% CI, -0.053 to -0.038; P < .001; self-reported health, -0.035; 97.5% CI, -0.046 to-0.023; P < .001), and income disparities worsened (year coefficient: healthy days, -0.060; 97.5% CI, -0.076 to -0.044; P < .001; self-reported health, -0.029; 97.5% CI, -0.046 to -0.012; P < .001).

CONCLUSIONS AND RELEVANCE

Results of this analysis suggest that there has been a clear lack of progress on health equity during the past 25 years in the United States. Achieving widely shared goals of improving health equity will require greater effort from public health policy makers, along with their partners in medicine and the sectors that contribute to the social determinants of health.

Subnational regional inequality in the public health development index in Indonesia

Background: Achieving the Sustainable Development Goal of ‘ensuring healthy lives and promoting well-being for all at all ages’ necessitates regular monitoring of inequality in the availability of health-related infrastructure and access to services, and in health risks and outcomes.

Objectives: To quantify subnational regional inequality in Indonesia using a composite index of public health infrastructure, services, behavioural risk factors and health outcomes: the Public Health Development Index (PHDI).

Methods: PHDI is a composite index of 30 public health indicators from across the life course and along the continuum of care. An overall index and seven topic-specific sub-indices were calculated using data from the 2013 Indonesian Basic Health Survey (RISKESDAS) and the 2011 – Village Potential Survey (PODES). These indices were analysed at the national, province and district levels. Within-province inequality was calculated using the Weighted Index of Disparity (IDISW).

Results: National average PHDI overall index was 54.0 (out of a possible 100); scores differed between provinces, ranging from 43.9 in Papua to 65.0 in Bali. Provinces in western regions of Indonesia tended to have higher overall PHDI scores compared to eastern regions. Large variations in province averages were observed for the non-communicable diseases sub-index, environmental health sub-index and infectious diseases sub-index. Provinces with a similar number of districts and with similar overall scores on the PHDI index showed different levels of relative within-province inequality. Greater within-province relative inequalities were seen in the environmental health and health services provisions sub-indices as compared to other indices.

Conclusions: Achieving the goal of ensuring healthy lives and promoting well-being for all at all ages in Indonesia necessitates having a more focused understanding of district-level inequalities across a wide range of public health infrastructure, service, risk factor and health outcomes indicators, which can enable geographical comparison while also revealing areas for intervention to address health inequalities.

Subnational health management and the advancement of health equity: a case study of Ethiopia

BACKGROUND

Health equity is a cross-cutting theme in the United Nations 2030 Agenda for Sustainable Development, and a priority in health sector planning in countries including Ethiopia. Subnational health managers in Ethiopia are uniquely positioned to advance health equity, given the coordination, planning, budgetary, and administration tasks that they are assigned. Yet, the nature of efforts to advance health equity by subnational levels of the health sector is poorly understood and rarely researched. This study assesses how subnational health managers in Ethiopia understand health equity issues and their role in promoting health equity and offers insight into how these roles can be harnessed to advance health equity.

METHODS

A descriptive case study assessed perspectives and experiences of health equity among subnational health managers at regional, zonal, district and Primary Health Care Unit administrative levels. Twelve in-depth interviews were conducted with directors, vice-directors, coordinators and technical experts. Data were analyzed using thematic analysis.

RESULTS

Subnational managers perceived geographical factors as a predominant concern in health service delivery inequities, especially when they intersected with poor infrastructure, patriarchal gender norms, unequal support from non-governmental organizations or challenging topography. Participants used ad hoc, context-specific strategies (such as resource-pooling with other sectors or groups and shaming-as-motivation) to improve health service delivery to remote populations and strengthen health system operations. Collaboration with other groups facilitated cost sharing and access to resources; however, the opportunities afforded by these collaborations, were not realized equally in all areas. Subnational health managers' efforts in promoting health equity are affected by inadequate resource availability, which restricts their ability to enact long-term and sustainable solutions.

CONCLUSIONS

Advancing health equity in Ethiopia requires: extra support to communities in hard-to-reach areas; addressing patriarchal norms; and strategic aligning of the subnational health system with non-health government sectors, community groups, and non-governmental organizations. The findings call attention to the unrealized potential of effectively coordinating governance actors and processes to better align national priorities and resources with subnational governance actions to achieve health equity, and offer potentially useful knowledge for subnational health system administrators working in conditions similar to those in our Ethiopian case study.

Assessing national and subnational inequalities in medical care utilization and financial risk protection in Rwanda

Background

Ensuring equitable access to medical care with financial risk protection has been at the center of achieving universal health coverage. In this paper, we assess the levels and trends of inequalities in medical care utilization and household catastrophic health spending (HCHS) at the national and sub-national levels in Rwanda.

Methods

Using the Rwanda Integrated Living Conditions Surveys of 2005, 2010, 2014, and 2016, we applied multivariable logit models to generate the levels and trends of adjusted inequalities in medical care utilization and HCHS across the four survey years by four socio-demographic dimensions: poverty, gender, education, and residence. We measured the national- and district-level inequalities in both absolute and relative terms.

Results

At the national level, after controlling for other factors, we found significant inequalities in medical care utilization by poverty and education and -in HCHS by poverty in all four years. From 2005 to 2016, inequalities in medical care utilization by the four dimensions did not change significantly, while the inequality in HCHS by poverty was reduced significantly. At the district level, inequalities in both medical care utilization and HCHS were larger than zero in all four years and decreased over time.

Conclusions

Poverty and poor education were significant contributors to inequalities in medical care utilization and HCHS in Rwanda. Policies or interventions targeting poor households or households headed by persons receiving no education are needed in order to effectively reduce inequalities in medical care utilization and HCHS.

Electronic supplementary material

The online version of this article (10.1186/s12939-019-0953-y) contains supplementary material, which is available to authorized users.

Changes in the spatial distribution of the under-five mortality rate: Small-area analysis of 122 DHS surveys in 262 subregions of 35 countries in Africa

The under-five mortality rate (U5MR) is a critical and widely available population health indicator. Both the MDGs and SDGs define targets for improvement in the U5MR, and the SDGs require spatial disaggregation of indicators. We estimate trends in the U5MR for Admin-1 subnational areas using 122 DHS surveys in 35 countries in Africa and assess progress toward the MDG target reductions for each subnational region and each country as a whole. In each country, direct weighted estimates of the U5MR from each survey are calculated and combined into a single estimate for each Admin-1 region across five-year periods. Our method fully accounts for the sample design of each survey. The region-time-specific estimates are smoothed using a Bayesian, space-time model that produces more precise estimates (when compared to the direct estimates) at a one-year scale that are consistent with each other in both space and time. The resulting estimated distributions of the U5MR are summarized and used to assess subnational progress toward the MDG 4 target of two-thirds reduction in the U5MR during 1990–2015. Our space-time modeling approach is tractable and can be readily applied to a large collection of sample survey data. Subnational, regional spatial heterogeneity in the levels and trends in the U5MR vary considerably across Africa. There is no generalizable pattern between spatial heterogeneity and levels or trends in the U5MR. Subnational, small-area estimates of the U5MR: (i) identify subnational regions where interventions are still necessary and those where improvement is well under way; and (ii) countries where there is very little spatial variation and others where there are important differences between subregions in both levels and trends. More work is necessary to improve both the data sources and methods necessary to adequately measure subnational progress toward the SDG child survival targets.

Establishing Sustainable Development Goal Baselines for Household Drinking Water, Sanitation and Hygiene Services

The World Health Organization (WHO) and United Nations Children’s Fund (UNICEF), through the Joint Monitoring Programme (JMP), are responsible for global monitoring of the Sustainable Development Goal (SDG) targets for drinking water, sanitation and hygiene (WASH). The SDGs represent a fundamental shift in household WASH monitoring with a new focus on service levels and the incorporation of hygiene. This article reflects on the process of establishing SDG baselines and the methods used to generate national, regional and global estimates for the new household WASH indicators. The JMP 2017 update drew on over 3000 national data sources, primarily household surveys (n = 1443), censuses (n = 309) and administrative data (n = 1494). Whereas most countries could generate estimates for basic drinking water and basic sanitation, fewer countries could report on basic handwashing facilities, water quality and the disposal of waste from onsite sanitation. Based on data for 96 and 84 countries, respectively, the JMP estimates that globally 2.1 billion (29%) people lacked safely managed drinking water services and 4.5 billion (61%) lacked safely managed sanitation services in 2015. The expanded JMP inequalities database also finds substantial disparities by wealth and sub-national regions. The SDG baselines for household WASH reveal the scale of the challenge associated with achieving universal safely managed services and the substantial acceleration needed in many countries to achieve even basic services for everyone by 2030. Many countries have begun to localise the global SDG targets and are investing in data collection to address the SDG data gaps, whether through the integration of new elements in household surveys or strengthening collection and reporting of information through administrative and regulatory systems.

Transnational wealth-related health inequality measurement

The study of international differences in wealth-related health inequalities has traditionally consisted of country-by-country comparisons using own-country relative measures of socioeconomic status, which effectively ignores absolute differences in both wealth and health that can differ between and within countries. To address these limitations, we propose an alternative approach: that of constructing a transnational measure of wealth-related health inequality. To illustrate the limitations of the country-by-country approach, we simulate the impact of changes in wealth and health inequalities both between and within countries on cross-country measures of health inequality and find at least five errors that may arise using country-by-country methods. We then empirically demonstrate the transnational approach to wealth-related health inequalities between and within Haiti and the Dominican Republic, the two constituent countries of the island of Hispaniola, using data from their respective Demographic and Health Surveys. Transnational socioeconomic rankings reveal a large and increasing divergence in wealth between the two countries, which would be ignored using the county-by-country approach. We find that wealth-related inequalities in long-term children’s health outcomes are larger than inequalities in short-term health outcomes, and decompositions of the influence of place-based variables on these inequalities reveal country of residence to be the most important factor for long-term outcomes, while urban/rural residence and subnational regions are more important for short-term health outcomes. The significance of this novel methodological approach in relation to conventional health inequality research, including hidden dimensions of wealth-related health inequalities, for example the urbanized “middle class” distribution of HIV and a hidden unequal burden of wasting among children uncovered by the transnational approach are discussed, and errors in gauging changes in inequality over time using a country-by-country approach are highlighted. Using the transnational approach can help to measure important trends in wealth-related health inequalities across countries that more commonly used methods traditionally overlook.

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Simulated data reveals limitations in measuring health inequalities across countries.

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We calculate transnational measures of SES-related health inequalities for Hispaniola.

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Country residence drives child health inequalities, subregions drive HIV inequality.

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Hidden HIV and wasting inequalities are uncovered with the transnational approach.

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Country-by-country methods misidentify secular transnational inequality trends.

Health disparities across the counties of Kenya and implications for policy makers, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Background

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 provided comprehensive estimates of health loss globally. Decision makers in Kenya can use GBD subnational data to target health interventions and address county-level variation in the burden of disease.

Methods

We used GBD 2016 estimates of life expectancy at birth, healthy life expectancy, all-cause and cause-specific mortality, years of life lost, years lived with disability, disability-adjusted life-years, and risk factors to analyse health by age and sex at the national and county levels in Kenya from 1990 to 2016.

Findings

The national all-cause mortality rate decreased from 850·3 (95% uncertainty interval [UI] 829·8–871·1) deaths per 100 000 in 1990 to 579·0 (562·1–596·0) deaths per 100 000 in 2016. Under-5 mortality declined from 95·4 (95% UI 90·1–101·3) deaths per 1000 livebirths in 1990 to 43·4 (36·9–51·2) deaths per 1000 livebirths in 2016, and maternal mortality fell from 315·7 (242·9–399·4) deaths per 100 000 in 1990 to 257·6 (195·1–335·3) deaths per 100 000 in 2016, with steeper declines after 2006 and heterogeneously across counties. Life expectancy at birth increased by 5·4 (95% UI 3·7–7·2) years, with higher gains in females than males in all but ten counties. Unsafe water, sanitation, and handwashing, unsafe sex, and malnutrition were the leading national risk factors in 2016.

Interpretation

Health outcomes have improved in Kenya since 2006. The burden of communicable diseases decreased but continues to predominate the total disease burden in 2016, whereas the non-communicable disease burden increased. Health gains varied strikingly across counties, indicating targeted approaches for health policy are necessary.

Funding

Bill & Melinda Gates Foundation.

Geographic Association Between Income Inequality and Obesity Among Adults in New York State

Introduction

In addition to economic factors and geographic area poverty, area income inequality — the extent to which income is distributed in an uneven manner across a population — has been found to influence health outcomes and obesity. We used a spatial-based approach to describe interactions between neighboring areas with the objective of generating new insights into the relationships between county-level income inequality, poverty, and obesity prevalence across New York State (NYS).

Methods

We used data from the 2015 American Community Survey and 2013 obesity estimates from the Centers for Disease Control and Prevention for NYS to examine correlations between county-level economic factors and obesity. Spatial mapping and analysis were conducted with ArcMap. Ordinary least squares modeling with adjusting variables was used to examine associations between county-level obesity percentages and county-level income inequality (Gini index). Univariate spatial analysis was conducted between obesity and Gini index, and globally weighted regression and Hot Spot Analysis were used to view spatial clustering.

Results

Although higher income inequality was associated with lower obesity rates, a higher percentage of poverty was associated with higher obesity rates. A higher percentage of Hispanic population was associated with lower obesity rates. When tested spatially, higher income inequality was associated with a greater decrease in obesity in southern and eastern NYS counties than in the northern and western counties, with some differences by sex present in this association.

Conclusion

Increased income inequality and lower poverty percentage were significantly linked to lower obesity rates across NYS counties for men. Income inequality influence differed by geographic location. These findings indicate that in areas with high income inequality, currently unknown aspects of the environment may benefit low-income residents. Future studies should also include environmental factors possibly linked to obesity.

Hospitalizations due to systemic connective tissue diseases: Secular trends and regional disparities in Sweden, 1998-2016

AIM

To investigate secular trends and regional disparities in hospitalizations due to systemic connective tissue diseases (SCTD) in Sweden from 1998 to 2016.

METHOD

We identified all hospital admissions with a principal diagnosis of SCTD (ICD-10 codes: M30-M36) from the Swedish National Patient Register. Joinpoint regression was used to assess secular trends in age-standardized hospitalization rates (ASHR) and proportions of SCTD from all and musculoskeletal disorders hospitalizations. We also assessed the secular trends in the absolute and relative regional disparities of SCTD hospitalizations.

RESULTS

We identified 89 333 SCTD hospitalizations (0.3% of all hospitalizations), of these about 69% were for women and 49% of patients were aged 15-64 years. Polyarteritis nodosa and related conditions (PANRC) and systemic lupus erythematosus (SLE) were the most frequent SCTD among those aged <10 years and 10-54 years, respectively. Joinpoint regression suggested that both rates and proportions of SCTD hospitalizations declined over time. These trends persisted among sex, age and diagnosis subgroups except for PANRC in patients aged 0-19 years who observed an average annual increase of 3.4% (95% CI: 1.8, 5.1) over the study period. There were 2.4-fold (95% CI: 2.3-2.5) difference between the regions with the highest and lowest mean ASHR. There was no statistically significant secular trend in the relative regional disparities, whereas the absolute regional disparity declined over time.

CONCLUSION

There were substantial decreases in the absolute and relative burden of SCTD hospitalizations reflecting possible improvements in disease management in Sweden. The rising trend in PANRC among the youngest children warrants further investigation.

Setting the Benchmark for the Ground and Air Medical Quality in Transport International Quality Improvement Collaborative

OBJECTIVE

Critical care transport (CCT) supports regionalization of medical care. Focus on the quality of CCT care prompted the development of the Ground and Air Medical qUality in Transport (GAMUT) Quality Improvement collaborative database which tracks consensus quality metrics. The Institute of Medicine recommends benchmarking of comparative data to accelerate improvement. Herein, we report the strategies and rationale for GAMUT QI Collaborative benchmarking.

METHODS

The GAMUT database includes >350 programs internationally with >200,000 annual patient contacts. Evidence-based literature review performed in May 2016 and October 2017 identified benchmarking strategies were evaluated and summarized, specific to the GAMUT metrics. Statistical analyses include simple statistics and weighted expectation calculations for benchmark examples (Pearson chi-square with Bonferroni adjusted post-hoc z tests).

RESULTS

Evidence-based literature search yielded 70 articles, and 31 were selected for inclusion in our evidence table. 5 evidence-based benchmark strategies were considered: average (mean), average (median), adjusted benchmark (based on expected outcome), Achievable Benchmark of Care (ABC), and Delphi. ABC threshold establishes a higher target (90th percentile) forcing more programs to achieve higher performance.

CONCLUSION

Benchmarking is not well-suited for a single strategy and requires customized consideration based on each metric, though adjusted benchmark and ABC generally set higher performance benchmarks.

Temporal trend and regional disparity in osteoarthritis hospitalisations in Sweden 1998-2015

AIM

This study investigated time trend and regional disparities in hospitalisations due to osteoarthritis (OA) among people aged ≥20 years in Sweden from 1998 through 2015.

METHODS

National and regional data on hospital admissions with a primary diagnosis of OA were collected from the National Patient Register. The absolute and relative regional disparities were assessed using the absolute weighted mean difference from overall mean and the index of disparity. We applied joinpoint regression for temporal trend analysis of hospitalisations and the Mann-Kendall trend test for disparity measures. Changes in number of OA hospitalisations between 1998-2000 and 2013-2015 were analysed using two counterfactual scenarios.

RESULTS

During 1998-2015, OA hospitalisations constituted 2.0% of all hospitalisations, with higher proportions among women (58.7%) and those aged 70-74 years (18.0%). The age-standardised rate of OA hospitalisation and its proportions from all and musculoskeletal disorders hospitalisations rose, on average, by >2.0% per year during the study period. OA hospitalisation rates rose statistically significantly in all age groups except for the youngest and oldest age groups. The proportion of hip OA from all OA hospitalisations declined, while the opposite was observed for knee OA. The relative regional disparities declined in men, and the absolute regional disparities rose among women over time. The population growth and ageing could explain only about one third of the observed increases in the absolute number of OA hospitalisations between 1998-2000 and 2013-2015.

CONCLUSIONS

OA hospitalisations have increased substantially, suggesting the need to improve OA prevention and primary-care management in Sweden.

How do we reach the girls and women who are the hardest to reach? Inequitable opportunities in reproductive and maternal health care services in armed conflict and forced displacement settings in Colombia

Objectives

This paper assesses inequalities in access to reproductive and maternal health services among females affected by forced displacement and sexual and gender-based violence in conflict settings in Colombia. This was accomplished through the following approaches: first, we assessed the gaps and gradients in three selected reproductive and maternal health care services. Second, we analyzed the patterns of inequalities in reproductive and maternal health care services and changes over time. And finally, we identified challenges and strategies for reaching girls and women who are the hardest to reach in conflict settings, in order to accelerate progress towards universal health coverage and to contribute to meeting the Sustainable Development Goals of good health and well-being and gender equality by 2030.

Methods

Three types of data were required: data about health outcomes (relating to rates of females affected by conflict), information about reproductive and maternal health care services to provide a social dimension to unmask inequalities (unmet needs in family planning, antenatal care and skilled births attendance); and data on the female population. Data sources used include the National Information System for Social Protection, the National Registry of Victims, the National Administrative Department of Statistics, and Demographic Health Survey at three specific time points: 2005, 2010 and 2015. We estimated the slope index of inequality to express absolute inequality (gaps) and the concentration index to expresses relative inequality (gradients), and to understand whether inequality was eliminated over time.

Results

Our findings show that even though absolute health care service-related inequalities dropped over time, relative inequalities worsened or remain unchanged. All summary measures still indicated the existence of inequalities as well as common patterns. Our findings suggest that there is a pattern of marginal exclusion and incremental patterns of inequality in the reproductive and maternal health care service provided to female affected by armed conflict.

Conclusions

Overall, the effects of conflict continue to threaten reproductive and maternal health in Colombia, impeding progress towards the realization of universal health care (UHC) and reinforcing already-existing inequities. Key messages and steps forward include the need to understand the two distinct patterns of inequalities identified in this study in order to prompt improved general policy responses. Addressing unmet needs in reproductive and maternal health requires supporting gender equality and prioritizing the girls and women in regions with the highest rates of victims of armed conflict, with the objective of leaving no girl or woman behind. This analysis represents the first attempt to analyze coverage-related inequality in reproductive and maternal health care services for female affected by armed conflict in Colombia. As the World Health Organization and global health systems leaders call for more inclusive engagement, this approach may serve as the key to shaping people-centred health systems. In this particular case, health care facilities must be located in close proximity to girls and women in conflict and post-conflict settings in order to deliver essential reproductive and maternal health care services. Finally, reducing inequalities in opportunities would not only promote equity, but also drive sustainable development.

Assessing geographical inequity in availability of hospital services under the state-funded universal health insurance scheme in Chhattisgarh state, India, using a composite vulnerability index

BACKGROUND

Countries are increasingly adopting health insurance schemes for achieving Universal Health Coverage. India's state-funded health insurance scheme covers hospital care provided by 'empanelled' private and public hospitals.

OBJECTIVE

This paper assesses geographical equity in availability of hospital services under the universal health insurance scheme in Chhattisgarh state.

METHODS

The study makes use of district data from the insurance scheme and government surveys. Selected socio-economic indicators are combined to form a composite vulnerability index, which is used to rank and group the state's 27 districts into tertiles, named as highest, middle and lowest vulnerability districts (HVDs, MVDs, LVDs). Indicators of hospital service availability under the scheme - insurance coverage, number of empanelled private/public hospitals, numbers and amounts of claims - are compared across districts and tertiles. Two measures of inequality, difference and ratio, are used to compare availability between tertiles.

RESULTS

The study finds that there is a geographical pattern to vulnerability in Chhattisgarh state. Vulnerability increases with distance from the state's centre towards the periphery. The highest vulnerability districts have the highest insurance coverage, but the lowest availability of empanelled hospitals (3.4 hospitals per 100,000 enrolled in HVDs, vs 8.2/100,000 enrolled in LVDs). While public sector hospitals are distributed equally, the distribution of private hospitals across tertiles is highly unequal, with higher availability in LVDs. The number of claims (per 100,000 enrolled) in the HVDs is 3.5-times less than that in the LVDs. The claim amounts show a similar pattern.

CONCLUSIONS

Although insurance coverage is higher in the more vulnerable districts, availability of hospital services is inversely proportional to vulnerability and, therefore, the need for these services. Equitable enrolment in health insurance schemes does not automatically translate into equitable access to healthcare, which is also dependent on availability and specific dynamics of service provision under the scheme.

Capacity building for health inequality monitoring in Indonesia: enhancing the equity orientation of country health information system

BACKGROUND

Inequalities in health represent a major problem in many countries, including Indonesia. Addressing health inequality is a central component of the Sustainable Development Goals and a priority of the World Health Organization (WHO). WHO provides technical support for health inequality monitoring among its member states. Following a capacity-building workshop in the WHO South-East Asia Region in 2014, Indonesia expressed interest in incorporating health-inequality monitoring into its national health information system.

OBJECTIVES

This article details the capacity-building process for national health inequality monitoring in Indonesia, discusses successes and challenges, and how this process may be adapted and implemented in other countries/settings.

METHODS

We outline key capacity-building activities undertaken between April 2016 and December 2017 in Indonesia and present the four key outcomes of this process.

RESULTS

The capacity-building process entailed a series of workshops, meetings, activities, and processes undertaken between April 2016 and December 2017. At each stage, a range of stakeholders with access to the relevant data and capacity for data analysis, interpretation and reporting was engaged with, under the stewardship of state agencies. Key steps to strengthening health inequality monitoring included capacity building in (1) identification of the health topics/areas of interest, (2) mapping data sources and identifying gaps, (3) conducting equity analyses using raw datasets, and (4) interpreting and reporting inequality results. As a result, Indonesia developed its first national report on the state of health inequality. A number of peer-reviewed manuscripts on various aspects of health inequality in Indonesia have also been developed.

CONCLUSIONS

The capacity-building process undertaken in Indonesia is designed to be adaptable to other contexts. Capacity building for health inequality monitoring among countries is a critical step for strengthening equity-oriented national health information systems and eventually tackling health inequities.

Height inequalities and their change trends in China during 1985-2010: results from 6 cross-sectional surveys on children and adolescents aged 7-18 years

Background

Great health inequalities have been reported in China over the past few years. Height has been used as an important parameter of health and it may also be distributed unequally in different regions. By studying height data of Chinese children and adolescents aged 7 to 18 years, we analyze height inequalities and their change trends during 1985–2010.

Methods

On the base of data from 6 successive cross-sectional surveys of the Chinese National Survey on Student’s Constitution and Health(CNSSCH) conducted in 1985,1991,1995,2000,2005 and 2010, we calculated difference of height for children and adolescents aged 7–18 years in different regions. Coefficients of Variation (CVs) of height were computed in urban and rural areas during 1985–2010.

Results

Great height difference existed between urban and rural, eastern and western, Shanghai and Guizhou children and adolescents aged 7–18 years. The urban-rural difference averagely decreased from 4.24 cm to 2.85 cm for boys and 3.72 cm to 1.31 cm for girls since 1985. Urban-rural difference tend to be more obvious in the poorer provinces, which has short mean statures. From 1985 to 2010, height difference became larger in eastern-western and Shanghai-Guizhou which represented the comparison between the richest and poorest regions. We also found there was a larger height inequality in rural areas compared with that in urban areas, and difference in rural subjects increased greater than their urban peers in eastern-western and Shanghai-Guizhou.

Conclusions

There were obvious height inequalities in China and the urban-rural difference narrowed, while increasing differences happened between regions with different socioeconomic levels especially in their rural residents. More attention should be paid to these differences and policies and strategies should be developed to reduce inequalities in height.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-017-4402-9) contains supplementary material, which is available to authorized users.