Impact of socioeconomic factors and health determinants on preterm birth in Brazil: a register-based study.
Brazil
Child health
Maternal health
Preterm birth
Primary health care or Primary health care
Journal
BMC pregnancy and childbirth
ISSN: 1471-2393
Titre abrégé: BMC Pregnancy Childbirth
Pays: England
ID NLM: 100967799
Informations de publication
Date de publication:
24 Nov 2022
24 Nov 2022
Historique:
received:
15
09
2022
accepted:
09
11
2022
entrez:
24
11
2022
pubmed:
25
11
2022
medline:
29
11
2022
Statut:
epublish
Résumé
More than 15 million children are born preterm annually. While preterm survival rates have increased in high-income countries. Low- and middle-income countries, like Brazil, continue to battle high neonatal mortality rates due to a lack of adequate postnatal care. Globally, neonatal mortality is higher for preterm infants compared to those born at term. Our study aims to map and analyze the spatial, socioeconomic, and health coverage determinants related to preterm birth in Brazil in order to understand how spatial variations in demographics and access to primary care may affect preterm birth occurrences. METHODS: Using publicly available national-level data from the Brazilian health system for 2008-2017, we conducted an ecological study to visualize the spatial distributions of preterm birth along with socioeconomic status, the structure of health services, and primary care work process, each consisting of multiple variables reduced via principal component analysis. Regression models were created to determine predictive effects of numeric and spatial variation of these scores on preterm birth rates. In Brazil, preterm birth rates increased from 2008-2017, with small and rural municipalities frequently exhibiting higher rates than urban areas. Scores in socioeconomic status and work process were significant predictors of preterm birth rates, without taking into account spatial adjustment, with more positive scores in socioeconomic status predicting higher preterm birth rates (coefficient 0.001145) and higher scores in work process predicting lower preterm birth rates (coefficient -0.002416). Geographically weighted regression showed socioeconomic status to be a more significant predictor in the North, with the work process indicators being most significant in the Northeast. Results support that primary care work process indicators are more significant in estimating preterm birth rates than physical structures available for care. These results emphasize the importance of ensuring the presence of the minimum human resources needed, especially in the most deprived areas of Brazil. The association between social determinants of health and preterm birth rates raises questions regarding the importance of policies dedicated to foster equity in the accessibility of healthcare services, and improve income as protective proxies for preterm birth.
Sections du résumé
BACKGROUND
BACKGROUND
More than 15 million children are born preterm annually. While preterm survival rates have increased in high-income countries. Low- and middle-income countries, like Brazil, continue to battle high neonatal mortality rates due to a lack of adequate postnatal care. Globally, neonatal mortality is higher for preterm infants compared to those born at term. Our study aims to map and analyze the spatial, socioeconomic, and health coverage determinants related to preterm birth in Brazil in order to understand how spatial variations in demographics and access to primary care may affect preterm birth occurrences. METHODS: Using publicly available national-level data from the Brazilian health system for 2008-2017, we conducted an ecological study to visualize the spatial distributions of preterm birth along with socioeconomic status, the structure of health services, and primary care work process, each consisting of multiple variables reduced via principal component analysis. Regression models were created to determine predictive effects of numeric and spatial variation of these scores on preterm birth rates.
RESULTS
RESULTS
In Brazil, preterm birth rates increased from 2008-2017, with small and rural municipalities frequently exhibiting higher rates than urban areas. Scores in socioeconomic status and work process were significant predictors of preterm birth rates, without taking into account spatial adjustment, with more positive scores in socioeconomic status predicting higher preterm birth rates (coefficient 0.001145) and higher scores in work process predicting lower preterm birth rates (coefficient -0.002416). Geographically weighted regression showed socioeconomic status to be a more significant predictor in the North, with the work process indicators being most significant in the Northeast.
CONCLUSIONS
CONCLUSIONS
Results support that primary care work process indicators are more significant in estimating preterm birth rates than physical structures available for care. These results emphasize the importance of ensuring the presence of the minimum human resources needed, especially in the most deprived areas of Brazil. The association between social determinants of health and preterm birth rates raises questions regarding the importance of policies dedicated to foster equity in the accessibility of healthcare services, and improve income as protective proxies for preterm birth.
Identifiants
pubmed: 36424529
doi: 10.1186/s12884-022-05201-0
pii: 10.1186/s12884-022-05201-0
pmc: PMC9685869
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
872Subventions
Organisme : National Council for Scientific and Technological Development
ID : 443834/2018-0 and 306592/2018-5
Organisme : National Council for Scientific and Technological Development
ID : 443834/2018-0 and 306592/2018-5
Organisme : The Bill & Melinda Gates Foundation
ID : OPP1202186
Organisme : The Bill & Melinda Gates Foundation
ID : OPP1202186
Organisme : The Bill & Melinda Gates Foundation
ID : OPP1202186
Organisme : The Bill & Melinda Gates Foundation
ID : OPP1202186
Organisme : The Bill & Melinda Gates Foundation
ID : OPP1202186
Organisme : The Bill & Melinda Gates Foundation
ID : OPP1202186
Organisme : Maranhão Foundation for Research and Scientific and Technological Development
ID : RCUK-01538/19
Organisme : Maranhão Foundation for Research and Scientific and Technological Development
ID : RCUK-01538/19
Organisme : Maranhão Foundation for Research and Scientific and Technological Development
ID : RCUK-01538/19
Organisme : Maranhão Foundation for Research and Scientific and Technological Development
ID : RCUK-01538/19
Organisme : Coordination for the Improvement of Higher Education Personnel
ID : finance code 001
Informations de copyright
© 2022. The Author(s).
Références
N Engl J Med. 2010 Feb 11;362(6):529-35
pubmed: 20147718
Cad Saude Publica. 2010 Jan;26(1):185-94
pubmed: 20209222
Soc Sci Med. 2002 Jul;55(1):97-111
pubmed: 12137192
Eur J Obstet Gynecol Reprod Biol. 2018 Nov;230:159-171
pubmed: 30292096
QRB Qual Rev Bull. 1992 Nov;18(11):356-60
pubmed: 1465293
Rev Saude Publica. 2017 Jun 01;51(suppl 1):3s
pubmed: 28591351
PLoS One. 2019 Aug 20;14(8):e0220959
pubmed: 31430312
Salud Publica Mex. 2011;53 Suppl 2:s120-31
pubmed: 21877078
Rev Saude Publica. 2008 Oct;42(5):957-64
pubmed: 18833394
Reprod Health. 2016 Oct 17;13(Suppl 3):118
pubmed: 27766945
Philos Trans A Math Phys Eng Sci. 2016 Apr 13;374(2065):20150202
pubmed: 26953178
Rev Esc Enferm USP. 2015 Aug;49(4):540-9
pubmed: 26353089
Reprod Health. 2016 Oct 17;13(Suppl 3):127
pubmed: 27766978
PLoS One. 2018 Aug 10;13(8):e0201723
pubmed: 30096201
Rev Panam Salud Publica. 2002 May-Jun;11(5-6):365-73
pubmed: 12162833
Rev Saude Publica. 2020 Jan 20;54:08
pubmed: 31967277
Paediatr Perinat Epidemiol. 2006 May;20(3):182-7
pubmed: 16629692
Children (Basel). 2017 Dec 14;4(12):
pubmed: 29240678
Int J Gynaecol Obstet. 2020 Jul;150(1):31-33
pubmed: 32524596
BMC Pregnancy Childbirth. 2015;15 Suppl 2:S4
pubmed: 26391000
Lancet Glob Health. 2019 Jan;7(1):e37-e46
pubmed: 30389451
BMC Pregnancy Childbirth. 2010 Feb 23;10 Suppl 1:S2
pubmed: 20233383
PLoS Med. 2015 Oct 06;12(10):e1001885
pubmed: 26440803
Cad Saude Publica. 2004 Jan-Feb;20(1):57-63
pubmed: 15029304
J Clin Med. 2018 Jul 27;7(8):
pubmed: 30060450
PLoS One. 2019 Jan 10;14(1):e0210502
pubmed: 30629670
BMJ Open. 2020 Mar 24;10(3):e034253
pubmed: 32209626
PLoS One. 2020 May 29;15(5):e0233790
pubmed: 32470020
Int J Equity Health. 2016 Nov 17;15(1):141
pubmed: 27852270
Eur J Clin Nutr. 2003 Feb;57(2):266-72
pubmed: 12571658
Rev Saude Publica. 2000 Dec;34(6):596-602
pubmed: 11175604
Epidemiol Serv Saude. 2017 Oct-Dec;26(4):725-734
pubmed: 29069169
Lancet. 2011 May 21;377(9779):1778-97
pubmed: 21561655
BMJ Open. 2018 Feb 20;8(2):e018437
pubmed: 29463587
Lancet. 2008 Jan 5;371(9606):75-84
pubmed: 18177778
Front Pharmacol. 2018 Sep 18;9:960
pubmed: 30279657
Lancet. 2011 May 28;377(9780):1863-76
pubmed: 21561656
PLoS One. 2019 Sep 26;14(9):e0222668
pubmed: 31557165