ArticlePloS one2017
Impact of multisectoral health determinants on child mortality 1980-2010: An analysis by country baseline mortality.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- What is the impact of national public expenditure and its allocation on neonatal and child mortality? A machine learning analysis.BMC public health · 2023Article
- Planetary health and health education in Brazil: Facing inequalities.One health (Amsterdam, Netherlands) · 2022Review
- Estimating the impact of donor programs on child mortality in low- and middle-income countries: a synthetic control analysis of child health programs funded by the United States Agency for International Development.Population health metrics · 2022Article
- Effect of health systems context on infant and child mortality in sub-Saharan Africa from 1995 to 2015, a longitudinal cohort analysis.Scientific reports · 2021Article
- Pediatric Health Outcome Evaluation in Low-and Middle-Income Countries: A Scoping Review of NGO Practice.Global pediatric health · 2021Article
- Strong community-based health systems and national governance predict improvement in coverage of oral rehydration solution (ORS): a multilevel longitudinal model.Journal of global health · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
introductionSome health determinants require relatively stronger health system capacity and socioeconomic development than others to impact child mortality. Few quantitative analyses have analyzed how the impact of health determinants varies by mortality level.
methods149 low- and middle-income countries were stratified into high, moderate, low, and very low baseline levels of child mortality in 1990. Data for 52 health determinants were collected for these countries for 1980-2010. To quantify how changes in health determinants were associated with mortality decline, univariable and multivariable regression models were constructed. An advanced statistical technique that is new for child mortality analyses-MM-estimation with first differences and country clustering-controlled for outliers, fixed effects, and variation across decades.
findingsSome health determinants (immunizations, education) were consistently associated with child mortality reduction across all mortality levels. Others (staff availability, skilled birth attendance, fertility, water and sanitation) were associated with child mortality reduction mainly in low or very low mortality settings. The findings indicate that the impact of some health determinants on child mortality was only apparent with stronger health systems, public infrastructure and levels of socioeconomic development, whereas the impact of other determinants was apparent at all stages of development. Multisectoral progress was essential to mortality reduction at all baseline mortality levels.
conclusionPolicy-makers can use such analyses to direct investments in health and non-health sectors and to set five-year child mortality targets appropriate for their baseline mortality levels and local context.
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