Manuel Colomé-Hidalgo1, Juan Donado Campos2, Ángel Gil de Miguel3. 1. Instituto Tecnológico de Santo Domingo, Universidad Rey Juan Carlos, Madrid, Spain. manuel.colome@intec.edu.do. 2. Universidad Autónoma de Madrid, Madrid, Spain. 3. Instituto Tecnológico de Santo Domingo, Universidad Rey Juan Carlos, Madrid, Spain.
Abstract
BACKGROUND: Maternal and child health have shown important advances in the world in recent years. However, national averages indicators hide large inequalities in access and quality of care in population subgroups. We explore wealth-related inequalities affecting health coverage and interventions in reproductive, maternal, newborn, and child health in Latin America and the Caribbean. METHODS: We analyzed representative national surveys from 15 countries conducted between 2001 and 2016. We estimated maternal-child health coverage gaps using the Composite Coverage Index - a weighted average of interventions that include family planning, maternal and newborn care, immunizations, and treatment of sick children. We measured absolute and relative inequality to assess gaps by wealth quintile. Pearson's correlation coefficient was used to test the association between the coverage gap and population attributable risk. RESULTS: The Composite Coverage Index showed patterns of inequality favoring the wealthiest subgroups. In eight countries the national coverage was higher than the global median (78.4%; 95% CI: 73.1-83.6) and increased significantly as inequality decreased (Pearson r = 0.9; p < 0.01). CONCLUSIONS: There are substantial inequalities between socioeconomic groups. Reducing inequalities will improve coverage indicators for women and children. Additional health policies, programs, and practices are required to promote equity.
BACKGROUND: Maternal and child health have shown important advances in the world in recent years. However, national averages indicators hide large inequalities in access and quality of care in population subgroups. We explore wealth-related inequalities affecting health coverage and interventions in reproductive, maternal, newborn, and child health in Latin America and the Caribbean. METHODS: We analyzed representative national surveys from 15 countries conducted between 2001 and 2016. We estimated maternal-child health coverage gaps using the Composite Coverage Index - a weighted average of interventions that include family planning, maternal and newborn care, immunizations, and treatment of sick children. We measured absolute and relative inequality to assess gaps by wealth quintile. Pearson's correlation coefficient was used to test the association between the coverage gap and population attributable risk. RESULTS: The Composite Coverage Index showed patterns of inequality favoring the wealthiest subgroups. In eight countries the national coverage was higher than the global median (78.4%; 95% CI: 73.1-83.6) and increased significantly as inequality decreased (Pearson r = 0.9; p < 0.01). CONCLUSIONS: There are substantial inequalities between socioeconomic groups. Reducing inequalities will improve coverage indicators for women and children. Additional health policies, programs, and practices are required to promote equity.
Entities:
Keywords:
Caribbean region; Health inequalities; Latin America; Maternal and child health; Socioeconomic factors
Authors: Maria Cristina Schneider; Carlos Castillo-Salgado; Jorge Bacallao; Enrique Loyola; Oscar J Mujica; Manuel Vidaurre; Anne Roca Journal: Rev Panam Salud Publica Date: 2002-12
Authors: María Clara Restrepo-Méndez; Aluísio J D Barros; Jennifer Requejo; Pablo Durán; Luis Andrés de Francisco Serpa; Giovanny V A França; Fernando C Wehrmeister; Cesar G Victora Journal: Rev Panam Salud Publica Date: 2015-07
Authors: Ahmad Reza Hosseinpoor; Cesar G Victora; Nicole Bergen; Aluisio J D Barros; Ties Boerma Journal: Bull World Health Organ Date: 2011-10-04 Impact factor: 9.408
Authors: Corrina Moucheraud; Helen Owen; Neha S Singh; Courtney Kuonin Ng; Jennifer Requejo; Joy E Lawn; Peter Berman Journal: BMC Public Health Date: 2016-09-12 Impact factor: 3.295
Authors: Fernando C Wehrmeister; Aluisio J D Barros; Ahmad Reza Hosseinpoor; Ties Boerma; Cesar G Victora Journal: PLoS One Date: 2020-04-29 Impact factor: 3.240
Authors: Aluisio J D Barros; Fernando C Wehrmeister; Leonardo Zanini Ferreira; Luis Paulo Vidaletti; Ahmad Reza Hosseinpoor; Cesar G Victora Journal: BMJ Glob Health Date: 2020-01-26