BackgroundNew technological breakthroughs in biomedicine should have made it easier for countries to improve life expectancy at birth (LEB). This paper measures the pace of improvement in the decadal gains of LEB, for the last 60-years adjusting for each country’s starting point of LEB.MethodsLEB increases over the next 10-years for 139 countries between 1950 and 2009 were regressed on LEB, GDP, total fertility rate, population density, CO2 emissions, and HIV prevalence using country-specific fixed effects and time-dummies. Analysis grouped countries into one-of-four strata: LEB < 51, 51 ≤ LEB < 61, 61 ≤ LEB < 71, and LEB ≥ 71.ResultsThe rate of increase of LEB has fallen consistently since 1950 across all strata. Results hold in unadjusted analysis and in the regression-adjusted analysis. LEB decadal gains fell from 4.80 (IQR: 2.98–6.20) years in the 1950s to 2.39 (IQR:1.80–2.80) years in the 2000s for the healthiest countries (LEB ≥ 71). For countries with the lowest LEB (LEB < 51), decadal gains fell from 7.38 (IQR:4.83–9.25) years in the 1950s to negative 6.82 (IQR: -12.95--1.05) years in the 2000s. Multivariate analysis controlling for HIV prevalence, GDP, and other covariates shows a negative effect of time on LEB decadal gains among all strata.ConclusionsContrary to the expectation that advances in health technology and spending would hasten improvements in LEB, we found that the pace-of-growth of LEB has slowed around the world.Electronic supplementary materialThe online version of this article (10.1186/s12889-018-5058-9) contains supplementary material, which is available to authorized users.
Background: Africa will double its population by 2050 and more than half will be below age 25. The continent has a unique opportunity to boost its socioeconomic welfare. This systematic literature review aims to develop a conceptual framework that identifies policies and programs that have provided a favorable environment for generating and harnessing a demographic dividend. This framework can facilitate sub-Saharan African countries’ understanding of needed actions to accelerate their demographic transition and capitalize on their demographic dividend potential. Methods: The search strategy was structured around three concepts: economic development, fertility, and sub-Saharan Africa. Databases used included PubMed and EconLit. An inductive approach was employed to expand the reference base further. Data were extracted using literature records following a checklist of items to include when reporting a systematic review suggested in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. Results: The final review consisted of 78 peer-reviewed articles, ten reports from the gray literature, and one book. Data were categorized according to relevant demographic dividend typology: pre-dividend and early-dividend. The results from the literature review were synthesized into a framework consisting of five sectors for pre-dividend countries, namely 1) Governance and Economic Institutions, 2) Family Planning, 3) Maternal and Child Health, 4) Education, and 5) Women's Empowerment. An additional sector, 6) Labor Market, is added for early-dividend countries. These sectors must work together to attain a demographic dividend. Conclusions: A country's demographic transition stage must guide policy and programs. Most sub-Saharan African countries have prioritized job creation and employment for youth, yet their efforts to secure a productive labor market require preliminary and complementary investments in governance, family planning, maternal and child health, education, and women’s empowerment. Creating a favorable policy environment for generating and capitalizing on a demographic dividend can support their stated goals for development.
Introduction While there has been considerable analysis of the health and economic effects of COVID-19 in the Global North, representative data on the distribution and depth of social and economic impacts in Africa has been more limited. Methods We analyze household data collected prior to the COVID-19 pandemic and during the first wave of COVID in four African countries. We evaluate the short-term changes to household economic status and assess women’s access to health care during the first wave of COVID-19 in nationally representative samples of women aged 15–49 in Kenya and Burkina Faso, and in sub-nationally representative samples of women aged 15–49 in Kinshasa, Democratic Republic of Congo and Lagos, Nigeria. We examine prevalence and distribution of household income loss, food insecurity, and access to health care during the COVID-19 lockdowns across residence and pre-pandemic wealth categories. We then regress pre-pandemic individual and household sociodemographic characteristics on the three outcomes. Results In three out of four samples, over 90% of women reported partial or complete loss of household income since the beginning of the coronavirus restrictions. Prevalence of food insecurity ranged from 17.0% (95% CI 13.6–20.9) to 39.8% (95% CI 36.0–43.7), and the majority of women in food insecure households reported increases in food insecurity during the COVID-19 restriction period. In contrast, we did not find significant barriers to accessing health care during COVID restrictions. Between 78·3% and 94·0% of women who needed health care were able successfully access it. When we examined pre-pandemic sociodemographic correlates of the outcomes, we found that the income shock of COVID-19 was substantial and distributed similarly across wealth groups, but food insecurity was concentrated among poorer households. Contrary to a-priori expectations, we find little evidence of women experiencing barriers to health care, but there is significant need for food support.
The Performance Monitoring and Accountability 2020 (PMA2020) project implemented a multi-country sub-project called PMA Agile, a system of continuous data collection for a probability sample of urban public and private health facilities and their clients that began November 2017 and concluded December 2019. The objective was to monitor the supply, quality and consumption of family planning services. In total, across 14 urban settings, nearly 2300 health facilities were surveyed three to six times in two years and a total sample of 48,610 female and male clients of childbearing age were interviewed in Burkina Faso, Democratic Republic of Congo, India, Kenya, Niger and Nigeria. Consenting female clients with access to a cellphone were re-interviewed by telephone after four months; two rounds of the client exit, and follow-up interviews were conducted in nearly all settings. This paper reports on the PMA Agile data system protocols, coverage and early experiences. An online dashboard is publicly accessible, analyses of measured trends are underway, and the data are publicly available.
The consistency of self-reported contraceptive use over short periods of time is important for understanding measurement reliability. We assess the consistency of and change in contraceptive use using longitudinal data from , urban female clients interviewed in
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