Insights on neonatal mortality: differences between public and private health access at São Paulo city between 2012 and 2017

Author:

Beluzo Carlos EduardoORCID,Zaniboni Marcelo Zaccaro,Carvalho TiagoORCID,Alves Luciana CorreiaORCID

Abstract

AbstractUnder-five mortality is a survival measure that reflects the social, economic, and environmental conditions in which children live, including their health care, so they are reasonable measures to identify vulnerable populations. Infant Mortality, also a survival measure, refers to children dying before reaching the first year of life, and can also be disaggregated into events below 28 days, referred to as neonatal mortality, which currently concentrates the higher share of deaths. In 2020, more than 5 million under-five children died in the world, from which almost 50% occurred among newborns. The Sustainable Development Goals call for an end to preventable deaths of newborns and children under-five, but considering the current trends, many countries are not on track to achieve it. Neonatal mortality involves various biological, socioeconomic, and healthcare factors, and understanding its determinants can favor public policy funding planning and help with this problem. The increasing relevance of neonatal deaths aside from online platforms that make available health data in Brazil has enabled more precise analyses and led to a significant number of studies covering different factors, regions, and methods regarding this issue. Among the various determinants, access to private health services is an important one. In Brazil, mainly due to financial restrictions, a huge percentage of the population uses only public health services. In this context, the objective of this paper is to perform an evaluation of the NMR in the city of São Paulo - Brazil, in the period between 2012 and 2017, considering as a determinant for neonatal mortality rate if the delivery has occurred on private or on public health service sphere. Besides that, the determinant mother’s age is also included in the analysis, so it is also possible to evaluate associations between these two variables. A dataset having 8,110 neonatal deaths was analyzed and three graphics were created. The first one is used to assess information regarding the distribution of births by health service sphere and mother’s age. The second brings information on births and neonatal mortality rates combined and compared by year and by health service sphere. Finally, in the last one births and rates are also combined and compared by year, health service sphere, but now are desegregated by mother’s age group. From these results, some insights are raised and discussed, and some need further investigation to obtain more conclusive results, but the currents can already bring important knowledge about the problem.

Publisher

Cold Spring Harbor Laboratory

Reference8 articles.

1. WHO. “Indicator Metadata Registry Details.” World Health Organization. 2022. Url: https://www.who.int/data/gho/indicator-metadata-registry/imr-details/3138.

2. UN Inter-agency Group for Child Mortality Estimation. Levels & Trends in Child Mortality: Report 2021. 2021. Url: https://data.unicef.org/resources/levels-and-trends-in-child-mortality.

3. Costa, Pedro Henrique , et al. “Maternal Characteristics and the Risk of Neonatal Mortality in Brazil between 2006 and 2016.” International Journal of Population Studies, vol. 5, no. 2, June 2020, https://doi.org/10.18063/ijps.v5i2.1130.

4. IGME. United Nations Inter-agency Group for Child Mortality Estimation. 2022. https://www.childmortality.org/data/Brazil.

5. PNS. Painel de Indicadores de Saúde – Pesquisa Nacional de Saúde. 2022. Url: https://www.pns.icict.fiocruz.br/painel-de-indicadores-mobile-desktop/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3