TY - JOUR
T1 - Impact of multisectoral health determinants on child mortality 1980–2010: An analysis by country baseline mortality
AU - Cohen, Robert
AU - Murray, John
AU - Jack, Susan
AU - Ascott-Mills, Sharon
AU - Verardi, Vincenzo
N1 - Funding Information:
This project was supported by consulting fees for authors (RC, JM, SJ, SAM) from the Partnership for Maternal, Newborn, and Child Health (PMNCH). VV received financial support from the Belgian National Science Foundation. JM (independent consultant) does not consult for any commercial entities and received no other funding for work on this project. SAM is employed by ICF, a commercial entity, and received no funding from ICF for work on this project. The funders provided support in the form of salaries, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of the authors are articulated in the ‘author contributions’ section. We acknowledge Shyama Kuruvilla, Nicholas Furtado, Jennifer Franz-Vasdeki and Rachael Hinton for discussion. VV acknowledges financial support from the Belgian National Science Foundation. This paper was completed by the authors in their personal capacity. The views expressed within do not necessarily represent the views of their associated institutions.
Publisher Copyright:
© 2017, Public Library of Science. All rights reserved. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/12/6
Y1 - 2017/12/6
N2 - Introduction: Some 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. Methods: 149 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. Findings: Some 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. Conclusion: Policy-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.
AB - Introduction: Some 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. Methods: 149 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. Findings: Some 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. Conclusion: Policy-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.
KW - Child
KW - Child Mortality
KW - Child, Preschool
KW - Developing Countries
KW - Health Status Indicators
KW - History, 20th Century
KW - History, 21st Century
KW - Humans
KW - Infant
KW - Social Class
UR - http://www.scopus.com/inward/record.url?scp=85037137894&partnerID=8YFLogxK
UR - http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0188762
U2 - 10.1371/journal.pone.0188762
DO - 10.1371/journal.pone.0188762
M3 - Article
SN - 1932-6203
VL - 12
SP - e0188762
JO - PLoS ONE
JF - PLoS ONE
IS - 12
M1 - e0188762
ER -