Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
15 Aug 2020
Historique:
received: 27 05 2020
accepted: 30 07 2020
entrez: 18 8 2020
pubmed: 18 8 2020
medline: 21 10 2020
Statut: epublish

Résumé

In African countries, including Angola, antenatal care (ANC) coverage is suboptimal and maternal mortality is still high due to pregnancy and childbirth-related complications. There is evidence of disparities in the uptake of ANC services, however, little is known about both the socio-economic and geographic-based disparity in the use of ANC services in Angola. The aim of this study was to assess the extent of socio-economic, urban-rural and subnational inequality in ANC coverage in Angola. We analyzed data from the 2015 Angola Demographic and Health Survey (ADHS) using the World Health Organization (WHO) Health Equity Assessment Toolkit (HEAT) software. The analysis consisted of disaggregated ANC coverage rates using four equity stratifiers (economic status, education, residence, and region) and four summary measures (Difference, Population Attributable Risk, Ratio and Population Attributable Fraction). To measure statistical significance, an uncertainty interval (UI) of 95% was constructed around point estimates. The study showed both absolute and relative inequalities in coverage of ANC services in Angola. More specifically, inequality favored women who were rich (D = 54.2, 95% UI; 49.59, 58.70, PAF = 43.5, 95% UI; 40.12, 46.92), educated (PAR = 19.9, 95% UI; 18.14, 21.64, R = 2.14, 95% UI; 1.96, 2.32), living in regions such as Luanda (D = 51.7, 95% UI; 43.56, 59.85, R = 2.64, 95% UI; 2.01, 3.26) and residing in urban dwellings (PAF = 20, 95% UI; 17.70, 22.38, PAR = 12.3, 95% UI; 10.88, 13.75). The uptake of ANC services were lower among poor, uneducated, and rural residents as well as women from the Cuanza Sul region. Government policy makers must consider vulnerable subpopulations when designing needed interventions to improve ANC coverage in Angola to achieve the 2030 Sustainable Development Goal of reducing global maternal mortality ratio to 70 deaths per 100,000 live births.

Sections du résumé

BACKGROUND BACKGROUND
In African countries, including Angola, antenatal care (ANC) coverage is suboptimal and maternal mortality is still high due to pregnancy and childbirth-related complications. There is evidence of disparities in the uptake of ANC services, however, little is known about both the socio-economic and geographic-based disparity in the use of ANC services in Angola. The aim of this study was to assess the extent of socio-economic, urban-rural and subnational inequality in ANC coverage in Angola.
METHODS METHODS
We analyzed data from the 2015 Angola Demographic and Health Survey (ADHS) using the World Health Organization (WHO) Health Equity Assessment Toolkit (HEAT) software. The analysis consisted of disaggregated ANC coverage rates using four equity stratifiers (economic status, education, residence, and region) and four summary measures (Difference, Population Attributable Risk, Ratio and Population Attributable Fraction). To measure statistical significance, an uncertainty interval (UI) of 95% was constructed around point estimates.
RESULTS RESULTS
The study showed both absolute and relative inequalities in coverage of ANC services in Angola. More specifically, inequality favored women who were rich (D = 54.2, 95% UI; 49.59, 58.70, PAF = 43.5, 95% UI; 40.12, 46.92), educated (PAR = 19.9, 95% UI; 18.14, 21.64, R = 2.14, 95% UI; 1.96, 2.32), living in regions such as Luanda (D = 51.7, 95% UI; 43.56, 59.85, R = 2.64, 95% UI; 2.01, 3.26) and residing in urban dwellings (PAF = 20, 95% UI; 17.70, 22.38, PAR = 12.3, 95% UI; 10.88, 13.75).
CONCLUSION CONCLUSIONS
The uptake of ANC services were lower among poor, uneducated, and rural residents as well as women from the Cuanza Sul region. Government policy makers must consider vulnerable subpopulations when designing needed interventions to improve ANC coverage in Angola to achieve the 2030 Sustainable Development Goal of reducing global maternal mortality ratio to 70 deaths per 100,000 live births.

Identifiants

pubmed: 32799833
doi: 10.1186/s12889-020-09320-1
pii: 10.1186/s12889-020-09320-1
pmc: PMC7429730
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1243

Références

BMC Pregnancy Childbirth. 2008 Jan 10;8:2
pubmed: 18186921
BMJ Open. 2019 Oct 7;9(10):e031890
pubmed: 31594900
PLoS One. 2020 Apr 29;15(4):e0232257
pubmed: 32348364
J Biosoc Sci. 2012 Nov;44(6):733-47
pubmed: 22377424
Health Care Women Int. 2017 Jan;38(1):17-37
pubmed: 27537979
PLoS One. 2018 Feb 1;13(2):e0184830
pubmed: 29389995
Glob Health Action. 2017;10(1):1328796
pubmed: 28621201
BMC Pregnancy Childbirth. 2010 Oct 12;10:61
pubmed: 20937146
Int J MCH AIDS. 2013;2(1):163-72
pubmed: 27621969
PLoS One. 2015 Apr 08;10(4):e0120922
pubmed: 25853423
Reprod Health. 2018 Jul 04;15(1):119
pubmed: 29973244
BJOG. 2018 Apr;125(5):587-595
pubmed: 28631308
Econ Hum Biol. 2011 Jan;9(1):56-65
pubmed: 20851064
Int J Epidemiol. 2019 Apr 01;48(Suppl 1):i37-i45
pubmed: 30883657
Br J Obstet Gynaecol. 1993 Aug;100(8):727-32
pubmed: 8399010
Trop Med Int Health. 2004 Mar;9(3):390-8
pubmed: 14996369
PLoS One. 2018 Sep 5;13(9):e0202129
pubmed: 30183720
Glob Health Promot. 2009;Suppl 1:1-118
pubmed: 20506619
PLoS One. 2019 Apr 11;14(4):e0214848
pubmed: 30973889
PLoS One. 2019 Aug 22;14(8):e0221280
pubmed: 31437180
BMC Pregnancy Childbirth. 2018 May 31;18(1):194
pubmed: 29855277
PLoS One. 2019 Jan 16;14(1):e0210393
pubmed: 30650127
BMC Health Serv Res. 2017 May 22;17(1):367
pubmed: 28532407
J Biosoc Sci. 2018 Nov;50(6):749-769
pubmed: 29081310
Health Econ Rev. 2012 Aug 06;2(1):14
pubmed: 22866869
Reprod Health. 2019 Jul 8;16(1):99
pubmed: 31286965
BMC Public Health. 2020 Mar 20;20(1):369
pubmed: 32197599
Health Equity. 2019 Apr 26;3(1):145-154
pubmed: 31289773
N Engl J Med. 1996 May 23;334(21):1409-10
pubmed: 8614443
BMJ Open. 2016 Mar 18;6(3):e008175
pubmed: 26993621
Ultrasound Obstet Gynecol. 2012 Feb;39(2):157-63
pubmed: 21845742

Auteurs

Gebretsadik Shibre (G)

Department of Reproductive, Family and Population Health, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.

Betregiorgis Zegeye (B)

Shewarobit Field Office, HaSET Maternal and Child Health Research Program, Addis Ababa, Ethiopia.

Dina Idriss-Wheeler (D)

Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Canada.

Bright Opoku Ahinkorah (BO)

The Australian Centre for Public and Population Health Research, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia.

Olanrewaju Oladimeji (O)

Department of Public Health, Walter Sisulu University, Mthatha, Eastern Cape, South Africa.
Faculty of Health Sciences, Durban University of Technology, Durban, South Africa.
Department of Family Medicine and Public Health, Faculty of Medicine, University of Botswana, Gaborone, Botswana.

Sanni Yaya (S)

School of International Development and Global Studies, Faculty of Social Sciences, University of Ottawa, 120 University Private, Ottawa, ON, K1N 6N5, Canada. sanni.yaya@uOttawa.ca.
The George Institute for Global Health, The University of Oxford, Oxford, UK. sanni.yaya@uOttawa.ca.

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