Socio-economic inequalities in the effect of public policies and the COVID-19 pandemic on exclusive breastfeeding in Chile

被引:4
|
作者
Navarro-Rosenblatt, D. [1 ]
Benmarhnia, T. [2 ]
Bedregal, P. [3 ]
Lopez-Arana, S. [4 ]
Rodriguez-Osiac, L. [5 ]
Garmendia, M. -L. [6 ]
机构
[1] Univ Chile, Sch Publ Hlth, PhD Program, Ave Independencia 939, Santiago, Chile
[2] Univ Calif San Diego, Dept Family Med & Publ Hlth, 9500 Gilman Dr, La Jolla, CA 92093 USA
[3] Pontificia Univ Catolica Chile, Sch Publ Hlth, Ave Libertador Bernardo OHiggins 340, Santiago, Chile
[4] Univ Chile, Fac Med, Dept Nutr, Ave Independencia 1027, Santiago, Chile
[5] Univ Chile, Sch Publ Hlth, Ave Independencia 939, Santiago, Chile
[6] Univ Chile, Inst Nutr & Food Technol, Ave Libano 5524, Santiago, Chile
关键词
Exclusive breastfeeding; Interrupted time-series; Health policy; COVID-19; Maternity leave; Socio-economic inequalities; Chile; MATERNITY LEAVE; HEALTH; INEQUITIES; REGRESSION; IMPACT;
D O I
10.1016/j.puhe.2022.11.001
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective: To assess the impact of the addition of 12 maternity leave (ML) weeks (2011), a pay for per-formance (P4P) exclusive breastfeeding (EBF) promotion strategy (2015), and the COVID-19 pandemic in EBF inequalities in Chile.Study design: Interrupted time-series analyses (ITSAs).Methods: Aggregated national EBF data by municipality and month were collected from 2009 to 2020. We assess the impact of the three events in EBF inequalities using two procedures: 1. ITSA stratified by municipal SES quintiles (Q1-Q5); 2. Calculating the EBF slope index of inequality (SII).Results: The EBF prevalence was higher in lower SES municipalities before and after the three time-events. No impact in EBF inequalities was observed after the extended ML. The P4P strategy increased EBF at six months in all SES quintiles (effect size between 4% and 5%), but in a higher level in poorer municipalities (SII:-0.36% and-1.05%). During COVID-19, wealthier municipalities showed a slightly higher EBF at six months prevalence (SII: 1.44%).Conclusion: The null impact of the extended ML in EBF inequalities could be explained by a low access to ML among affiliated to the public health system (20%). The P4P strategy includes multiple interventions that seemed effective in increasing EBF across all SES quintiles, but further in lower quintiles. The re-strictions in healthcare access in poorer municipalities could explain EBF inequalities during COVID-19.(c) 2022 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:61 / 68
页数:8
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