A call for standardised age-disaggregated health data.

The 2030 Sustainable Development Goals agenda calls for health data to be disaggregated by age. However, age groupings used to record and report health data vary greatly, hindering the harmonisation, comparability, and usefulness of these data, within and across countries. This variability has become especially evident during the COVID-19 pandemic, when there was an urgent need for rapid cross-country analyses of epidemiological patterns by age to direct public health action, but such analyses were limited by the lack of standard age categories. In this Personal View, we propose a recommended set of age groupings to address this issue. These groupings are informed by age-specific patterns of morbidity, mortality, and health risks, and by opportunities for prevention and disease intervention. We recommend age groupings of 5 years for all health data, except for those younger than 5 years, during which time there are rapid biological and physiological changes that justify a finer disaggregation. Although the focus of this Personal View is on the standardisation of the analysis and display of age groups, we also outline the challenges faced in collecting data on exact age, especially for health facilities and surveillance data. The proposed age disaggregation should facilitate targeted, age-specific policies and actions for health care and disease management.

Wealth-related inequalities in the coverage of reproductive, maternal, newborn and child health interventions in 36 countries in the African Region.

OBJECTIVE: To investigate whether sub-Saharan African countries have succeeded in reducing wealth-related inequalities in the coverage of reproductive, maternal, newborn and child health interventions. METHODS: We analysed survey data from 36 countries, grouped into Central, East, Southern and West Africa subregions, in which at least two surveys had been conducted since 1995. We calculated the composite coverage index, a function of essential maternal and child health intervention parameters. We adopted the wealth index, divided into quintiles from poorest to wealthiest, to investigate wealth-related inequalities in coverage. We quantified trends with time by calculating average annual change in index using a least-squares weighted regression. We calculated population attributable risk to measure the contribution of wealth to the coverage index. FINDINGS: We noted large differences between the four regions, with a median composite coverage index ranging from 50.8% for West Africa to 75.3% for Southern Africa. Wealth-related inequalities were prevalent in all subregions, and were highest for West Africa and lowest for Southern Africa. Absolute income was not a predictor of coverage, as we observed a higher coverage in Southern (around 70%) compared with Central and West (around 40%) subregions for the same income. Wealth-related inequalities in coverage were reduced by the greatest amount in Southern Africa, and we found no evidence of inequality reduction in Central Africa. CONCLUSION: Our data show that most countries in sub-Saharan Africa have succeeded in reducing wealth-related inequalities in the coverage of essential health services, even in the presence of conflict, economic hardship or political instability.

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.

Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa.

Health facility data are a critical source of local and continuous health statistics. Countries have introduced web-based information systems that facilitate data management, analysis, use and visualisation of health facility data. Working with teams of Ministry of Health and country public health institutions analysts from 14 countries in Eastern and Southern Africa, we explored data quality using national-level and subnational-level (mostly district) data for the period 2013-2017. The focus was on endline analysis where reported health facility and other data are compiled, assessed and adjusted for data quality, primarily to inform planning and assessments of progress and performance. The analyses showed that although completeness of reporting was generally high, there were persistent data quality issues that were common across the 14 countries, especially at the subnational level. These included the presence of extreme outliers, lack of consistency of the reported data over time and between indicators (such as vaccination and antenatal care), and challenges related to projected target populations, which are used as denominators in the computation of coverage statistics. Continuous efforts to improve recording and reporting of events by health facilities, systematic examination and reporting of data quality issues, feedback and communication mechanisms between programme managers, care providers and data officers, and transparent corrections and adjustments will be critical to improve the quality of health statistics generated from health facility data.

Demographic change and HIV epidemic projections to 2050 for adolescents and young people aged 15-24.

Background: Ending AIDS as a public health threat by 2030 is a significant challenge, as new HIV infections among adolescents and young people have not decreased fast enough to curb the epidemic. The combination of slow HIV response and increasing youth populations 15-24 could affect progress towards 2030 goals. Objective: This analysis aimed to describe global and regional trends from 2010-2050 in the HIV epidemic among adolescents and young people by accounting for demographic projections and recent trends in HIV interventions. Methods: 148 national HIV estimates files were used to project the HIV epidemic to 2050. Numbers of people living with HIV and new HIV infections were projected by sex and five-year age group. Along with demographic data, projections were based on three key assumptions: future trends in HIV incidence, antiretroviral treatment coverage, and coverage of antiretrovirals for prevention of mother-to-child transmission. Results represent nine geographic regions. Results: While the number of adolescents and young people is projected to increase by 10% from 2010-2050, those living with HIV is projected to decrease by 61%. In Eastern and Southern Africa, which hosts the largest HIV epidemic, new HIV infections among adolescents and young people are projected to decline by 84% from 2010-2050. In West and Central Africa, which hosts the second-largest HIV epidemic, new infections are projected to decline by 35%. Conclusions: While adolescents and young people living with HIV are living longer and ageing into adulthood, if current trends continue, the number of new HIV infections is not projected to decline fast enough to end AIDS as a health threat in this age group. Regional variations suggest that while progress in Eastern and Southern Africa could reduce the size of the epidemic by 2050, other regions exhibit slower rates of decline among adolescents and young people.

Prevention of Mother-to-Child Transmission of HIV and Paediatric HIV Care and Treatment Monitoring: From Measuring Process to Impact and Elimination of Mother-to-Child Transmission of HIV.

Progress towards achievement of global targets for the prevention of mother-to-child transmission of HIV (PMTCT) and paediatric HIV care and treatment is an integral part of global and national HIV and AIDS responses. This paper documents the development of the global and national monitoring and reporting systems for PMTCT and paediatric HIV care and treatment programmes, achievements and remaining challenges. A review of the development of the monitoring and reporting process since 2002-2016 was conducted using existing published literature and taking into account changes in WHO HIV treatment guidelines, global HIV goals and targets, programmatic and methodological developments, and increased need for interagency partnerships, coordination and harmonization of global monitoring and reporting mechanisms. The number and type of indicators reported increased and evolved from monitoring of existence of national policies and guidelines, service delivery sites and trained health workers and coverage of PMTCT and paediatric HIV interventions to measuring outcomes and impact in reducing new HIV infections and AIDS related deaths, including efforts to validate elimination of mother-to-child transmission of HIV. These changes were required to mirror changes in WHO and national PMTCT and HIV treatment guidelines. The number of countries reporting PMTCT coverage increased from 53 in 2003 to over 130 in 2015. National monitoring processes have also expanded in scope and the capacity to report on disaggregated data by type of ARV regimen and for paediatric HIV care and treatment has increased. Monitoring of PMTCT and paediatric HIV programmes has contributed a rich body of evidence that helped monitor how quickly countries were adopting and implementing the latest WHO HIV treatment guidelines for pregnant and breastfeeding women and children. The reported data and experiences were instrumental in shaping global policies, national programmes, and investment choices.

Epidemiology of HIV and AIDS among adolescents: current status, inequities, and data gaps.

OBJECTIVES: To examine levels and patterns of HIV prevalence, knowledge, sexual behavior, and coverage of selected HIV services among adolescents aged 10-19 years and highlight data gaps and challenges. METHODS: Data were reviewed from Joint United Nations Programme on HIV/AIDS HIV estimates, nationally representative household surveys, behavioral surveillance surveys, and published literature. RESULTS: A number of gaps exist for adolescent-specific HIV-related data; however, important implications for programming can be drawn. Eighty-two percent of the estimated 2.1 million adolescents aged 10-19 years living with HIV in 2012 were in sub-Saharan Africa, and the majority of these (58%) were females. Comprehensive accurate knowledge about HIV, condom use, HIV testing, and antiretroviral treatment coverage remain low in most countries. Early sexual debut (sex before 15 years of age) is more common among adolescent girls than boys in low- and middle-income countries, consistent with early marriage and early childbirth in these countries. In low and concentrated epidemic countries, HIV prevalence is highest among key populations. CONCLUSIONS: Although the available HIV-related data on adolescents are limited, increased HIV vulnerability in the second decade of life is evident in the data. Improving data gathering, analysis, and reporting systems specific to adolescents is essential to monitoring progress and improving health outcomes for adolescents. More systematic and better quality disaggregated data are needed to understand differences by sex, age, geography, and socioeconomic factors and to address equity and human rights obligations, especially for key populations.