Quality of antenatal care in 13 sub-Saharan African countries in the SDG era: evidence from Demographic and Health Surveys.

Edward Kwabena Ameyaw, Linus Baatiema, Ambrose Naawa, Frederick Odame, Doris Koramah, Francis Arthur-Holmes, Shadrack Osei Frimpong, Celestin Hategeka
Author Information
  1. Edward Kwabena Ameyaw: School of Graduate Studies and Institute of Policy Studies, Lingnan University, Hong Kong, China. edmeyaw19@gmail.com.
  2. Linus Baatiema: L&E Research Consult Ltd, Wa, Upper West Region, Ghana.
  3. Ambrose Naawa: Ghana Health Service, Upper West Regional Health Directorate, Wa, Ghana.
  4. Frederick Odame: Wits Business School, Faculty of Commerce, Law and Management, University of Witwatersrand, Johannesburg, South Africa.
  5. Doris Koramah: Department of Sociology and Anthropology, College of Humanities and Legal Studies, University of Cape Coast, Cape Coast, Ghana.
  6. Francis Arthur-Holmes: Department of Sociology and Social Policy, Lingnan University, Hong Kong, China.
  7. Shadrack Osei Frimpong: Yale School of Medicine, Yale University, 333 Cedar St, New Haven, CT, 06510, USA.
  8. Celestin Hategeka: Boston University, Boston, MA, USA.

Abstract

BACKGROUND: Maternal and neonatal mortality remains high in sub-Saharan Africa (SSA) with women having 1 in 36 lifetime risk. The WHO launched the new comprehensive recommendations/guidelines on antenatal care (ANC) in 2016, which stresses the essence of quality antenatal care. Consequently, the objective of this cross-sectional study is to investigate the quality of ANC in 13 SSA countries.
METHODS: This is a cross-sectional study that is premised on pre-existing secondary data, spanning 2015 to 2021. Data for the study was obtained from the Measure DHS Programme and included a total of 79,725 women aged 15-49 were included. The outcome variable was quality ANC and it was derived as a composite variable from four main ANC services: blood pressure taken, urine taken, receipt of iron supplementation and blood sample taken. Thirteen independent variables were included and broadly categorised into individual and community-level characteristics. Descriptive statistics were used to present the proportion of women who had quality ANC across the respective countries. A two-level multilevel regression analysis was conducted to ascertain the direction of association between quality ANC and the independent variables.
RESULTS: The overall average of women who had quality ANC was 53.8% [CI = 51.2,57.5] spanning from 82.3% [CI = 80.6,85.3] in Cameroon to 11% [CI = 10.0, 11.4] in Burundi. Women with secondary/higher education had higher odds of obtaining quality ANC compared with those without formal education [aOR = 1.23, Credible Interval [Crl] = 1.10,1.37]. Poorest women were more likely to have quality ANC relative to the richest women [aOR = 1.21, Crl = 1.14,1.27]. Married women were more likely to receive quality ANC relative to those cohabiting [aOR = 2.04, Crl = 1.94,3.05]. Women who had four or more ANC visits had higher odds of quality ANC [aOR = 2.21, Crl = 2.04,2.38]. Variation existed in receipt of quality ANC at the community-level [σ = 0.29, Crl = 0.24,0.33]. The findings also indicated that a 36.2% variation in quality ANC is attributable to community-level factors.
CONCLUSION: To achieve significant improvement in the coverage of quality ANC, the focus of maternal health interventions ought to prioritise uneducated women, those cohabiting, and those who are unable to have at least four ANCs. Further, ample recognition should be accorded to the existing and potential facilitators and barriers to quality ANC across and within countries.

Keywords

References

  1. BMJ Glob Health. 2017 Sep 04;2(3):e000424 [PMID: 29632704]
  2. BMC Pregnancy Childbirth. 2016 Jan 27;16:21 [PMID: 26819242]
  3. BMJ Glob Health. 2018 Apr 12;3(2):e000779 [PMID: 29662698]
  4. Pan Afr Med J. 2017 Sep 29;28:100 [PMID: 29515718]
  5. PLoS Med. 2014 Sep 22;11(9):e1001730 [PMID: 25243780]
  6. BMC Health Serv Res. 2008 Jan 23;8:19 [PMID: 18215313]
  7. J Biosoc Sci. 2018 Nov;50(6):749-769 [PMID: 29081310]
  8. Lancet Glob Health. 2018 Nov;6(11):e1196-e1252 [PMID: 30196093]
  9. BMC Pregnancy Childbirth. 2022 Apr 5;22(1):283 [PMID: 35382792]
  10. Int J Health Policy Manag. 2019 Dec 01;8(12):700-710 [PMID: 31779298]
  11. J Urban Health. 2008 May;85(3):428-42 [PMID: 18389376]
  12. Int J Epidemiol. 2012 Dec;41(6):1602-13 [PMID: 23148108]
  13. PLoS One. 2019 Apr 25;14(4):e0214841 [PMID: 31022201]
  14. BMC Pregnancy Childbirth. 2014 Mar 03;14:94 [PMID: 24589139]
  15. BMC Pregnancy Childbirth. 2016 Aug 26;16:250 [PMID: 27565428]
  16. BMC Pregnancy Childbirth. 2022 Jan 22;22(1):59 [PMID: 35062909]
  17. BMJ Open. 2019 Oct 7;9(10):e031890 [PMID: 31594900]
  18. Lancet. 2016 Oct 29;388(10056):2164-2175 [PMID: 27642022]
  19. Health Place. 2018 Jul;52:205-214 [PMID: 29960144]
  20. BMJ Open. 2019 Mar 13;9(3):e023128 [PMID: 30867200]
  21. Am J Epidemiol. 2005 Jan 1;161(1):81-8 [PMID: 15615918]
  22. Soc Sci Med. 1994 Apr;38(8):1091-110 [PMID: 8042057]
  23. BMJ Glob Health. 2020 Nov;5(11): [PMID: 33187962]
  24. Bull World Health Organ. 2016 May 1;94(5):312 [PMID: 27147756]
  25. BMC Med Educ. 2018 Jun 8;18(1):133 [PMID: 29884172]
  26. Int J Public Health. 2018 May;63(4):525-535 [PMID: 29572718]
  27. PLoS One. 2019 Apr 11;14(4):e0214848 [PMID: 30973889]
  28. J Health Popul Nutr. 2018 Nov 7;37(1):23 [PMID: 30404661]
  29. J Glob Health. 2017 Dec;7(2):021101 [PMID: 29163936]
  30. Health Serv Res. 2019 Oct;54(5):1110-1118 [PMID: 31090931]
  31. Hum Resour Health. 2017 Sep 4;15(1):60 [PMID: 28870254]
  32. Health Econ Rev. 2012 Aug 06;2(1):14 [PMID: 22866869]
  33. BMJ Open. 2017 Nov 15;7(11):e017122 [PMID: 29146636]
  34. PLoS One. 2010 Jun 23;5(6):e11190 [PMID: 20585646]
  35. Matern Child Health J. 2009 Jan;13(1):130-7 [PMID: 18297380]
  36. BMJ Open. 2018 Aug 8;8(8):e019613 [PMID: 30093509]
  37. Glob Health Sci Pract. 2014 Apr 08;2(2):173-81 [PMID: 25276575]
  38. Curationis. 2012 May 09;35(1):36 [PMID: 23327761]
  39. Public Health. 2019 Dec;177:1-9 [PMID: 31470265]
  40. Health Econ Rev. 2017 Dec;7(1):16 [PMID: 28444572]

MeSH Term

Humans
Female
Prenatal Care
Adult
Africa South of the Sahara
Cross-Sectional Studies
Pregnancy
Adolescent
Young Adult
Quality of Health Care
Middle Aged
Health Surveys
Socioeconomic Factors

Word Cloud

Created with Highcharts 10.0.0ANCqualitywomencountriessub-Saharan1antenatalcarestudyincludedfourtakencommunity-levelhealthMaternalAfricaSSAcross-sectional13spanningvariablebloodreceiptindependentvariablesacross20Womeneducationhigherodds[aOR = 1likelyrelative21Crl = 1cohabiting[aOR = 204QualityBACKGROUND:neonatalmortalityremainshigh36 lifetimeriskWHOlaunchednewcomprehensiverecommendations/guidelines2016stressesessenceConsequentlyobjectiveinvestigateMETHODS:premisedpre-existingsecondarydata20152021DataobtainedMeasureDHSProgrammetotal79725aged15-49outcomederivedcompositemainservices:pressureurineironsupplementationsampleThirteenbroadlycategorisedindividualcharacteristicsDescriptivestatisticsusedpresentproportionrespectivetwo-levelmultilevelregressionanalysisconductedascertaindirectionassociationRESULTS:overallaverage538%[CI = 51575]823%[CI = 806853]Cameroon11%[CI = 10114]Burundisecondary/higherobtainingcomparedwithoutformal23CredibleInterval[Crl] = 11037]Poorestrichest1427]Marriedreceive94305]visitsCrl = 238]Variationexisted[σ = 029Crl = 02433]findingsalsoindicated362%variationattributablefactorsCONCLUSION:achievesignificantimprovementcoveragefocusmaternalinterventionsprioritiseuneducatedunableleastANCsamplerecognitionaccordedexistingpotentialfacilitatorsbarrierswithinAfricanSDGera:evidenceDemographicHealthSurveysAntenatalGlobalhealthcarePublic

Similar Articles

Cited By