Disparities in use of skilled birth attendants and neonatal mortality rate in Guinea over two decades

Zegeye, Betregiorgis, Ahinkorah, Bright Opoku, Ameyaw, Edward Kwabena, Budu, Eugene, Seidu, Abdul-Aziz, Olorunsaiye, Comfort Z., and Yaya, Sanni (2022) Disparities in use of skilled birth attendants and neonatal mortality rate in Guinea over two decades. BMC Pregnancy and Childbirth, 22 (1). 56.

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Abstract

Background: Maternal mortality remains high in sub-Saharan African countries, including Guinea. Skilled birth attendance (SBA) is one of the crucial interventions to avert preventable obstetric complications and related maternal deaths. However, within-country inequalities prevent a large proportion of women from receiving skilled birth attendance. Scarcity of evidence related to this exists in Guinea. Hence, this study investigated the magnitude and trends in socioeconomic and geographic-related inequalities in SBA in Guinea from 1999 to 2016 and neonatal mortality rate (NMR) between 1999 and 2012.

Methods: We derived data from three Guinea Demographic and Health Surveys (1999, 2005 and 2012) and one Guinea Multiple Indicator Cluster Survey (2016). For analysis, we used the 2019 updated WHO Health Equity Assessment Toolkit (HEAT). We analyzed inequalities in SBA and NMR using Population Attributable Risk (PAR), Population Attributable Fraction (PAF), Difference (D) and Ratio (R). These summary measures were computed for four equity stratifiers: wealth, education, place of residence and subnational region. We computed 95% Uncertainty Intervals (UI) for each point estimate to show whether or not observed SBA inequalities and NMR are statistically significant and whether or not disparities changed significantly over time.

Results: A total of 14,402 for SBA and 39,348 participants for NMR were involved. Profound socioeconomic- and geographic-related inequalities in SBA were found favoring the rich (PAR = 33.27; 95% UI: 29.85–36.68), educated (PAR = 48.38; 95% UI: 46.49–50.28), urban residents (D = 47.03; 95% UI: 42.33–51.72) and regions such as Conakry (R = 3.16; 95% UI: 2.31–4.00). Moreover, wealth-driven (PAF = -21.4; 95% UI: −26.1, −16.7), education-related (PAR = -16.7; 95% UI: −19.2, −14.3), urban-rural (PAF = -11.3; 95% UI: −14.8, −7.9), subnational region (R = 2.0, 95% UI: 1.2, 2.9) and sex-based (D = 12.1, 95% UI; 3.2, 20.9) inequalities in NMR were observed between 1999 and 2012. Though the pattern of inequality in SBA varied based on summary measures, both socioeconomic and geographic-related inequalities decreased over time.

Conclusions: Disproportionate inequalities in SBA and NMR exist among disadvantaged women such as the poor, uneducated, rural residents, and women from regions like Mamou region. Hence, empowering women through education and economic resources, as well as prioritizing SBA for these disadvantaged groups could be key steps toward ensuring equitable SBA, reduction of NMR and advancing the health equity agenda of “no one left behind.”

Item ID: 74460
Item Type: Article (Research - C1)
ISSN: 1471-2393
Keywords: DHS, Global health, Guinea, inequality, maternal health, MICS, neonatal mortality, Skilled birth attendance
Copyright Information: © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Date Deposited: 20 Oct 2022 01:04
FoR Codes: 42 HEALTH SCIENCES > 4204 Midwifery > 420402 Models of care and place of birth @ 50%
42 HEALTH SCIENCES > 4206 Public health > 420606 Social determinants of health @ 25%
42 HEALTH SCIENCES > 4206 Public health > 420602 Health equity @ 25%
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