Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA

Talon Pascaline Yvonne; Saizonou Zinsou Jacques; Kpozehouen Alphonse; Gaffan Nicolas; Akouta Merveille; Ouendo Edgard-Marius

doi:doi:10.11648/j.cajph.20230901.11

Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA

Talon Pascaline Yvonne, Saizonou Zinsou Jacques, Kpozehouen Alphonse, Gaffan Nicolas, Akouta Merveille, Ouendo Edgard-Marius

Published in Central African Journal of Public Health (Volume 9, Issue 1)

Received: 22 November 2022 Accepted: 20 December 2022 Published: 17 January 2023

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Abstract

Recourse to skilled birth attendance is known for contributing to a better outcome of pregnancy and childbirth. The purpose of this study was to examine the determinants of skilled birth attendance in Benin. This was a cross-sectional study that involved performing a secondary analysis using data from the fifth Demographic and Health Survey. The study population was women of childbearing age successfully surveyed, usually residing in the households visited, and having had at least one live birth in the five years preceding the survey. The dependent variable was the assistance of a skilled attendant for the last delivery (Yes vs. No). Woman, household, and environmental characteristics were also entered. Multivariate logistic regression was performed to identify the factors that determine births attended by skilled professionals. Overall, 8,816 women were included in the study. Of the women surveyed, 79.39% (95% CI = 77.25-81.38) had delivered with the assistance of a skilled attendant at the end of their last pregnancy. Women aged 30-39 years (aOR = 1.33; 95% CI = 1.09-1.62), with secondary education and above (aOR = 1.34; 95% CI = 1.03-1.75), single (aOR = 1.35; 95% CI = 1.02-1.78), Christian (aOR = 1.97; 95% CI = 1.50-2.58), and professionally active (aOR = 1.27; 95% CI = 1.00-1.60) were more likely to give birth assisted by skilled attendants than, respectively, women aged 40-49 years, with no formal education, in couples, with no religion, and with no work activity, respectively. Similarly, primiparous women (aOR = 1.35; 95% CI = 1.04-1.74) and those who observed antenatal consultations (aOR = 1.83, 95% CI = 1.50-2.23) were more likely to have skilled attendants at delivery than multiparous women and those who did not observe antenatal consultations, respectively. The odds of delivering with skilled attendance were significantly higher for women living in households of 1-5 persons (aOR = 1.22; 95% CI = 1.03-1.44) and wealthy (aOR = 4.79; 95% CI = 2.93-7.85) compared to women living in households of more than five persons and poor, respectively. In addition, disparities related to county of residence were observed. Interventions targeting older women, strengthening education, information and communication, antenatal consultation compliance, women's economic empowerment, and poverty reduction, including addressing geographic disparities, are needed to increase the use of skilled birth attendance by pregnant women.

Published in	Central African Journal of Public Health (Volume 9, Issue 1)
DOI	10.11648/j.cajph.20230901.11
Page(s)	1-11
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Skilled Birth, Determinants, Childbearing Age Women, Benin

References

[1]	Organisation mondiale de la Santé (2019). Évolution de la mortalité maternelle 2000 to 2017 : estimations de l’OMS, de l’UNICEF, de l’UNFPA, du groupe de la banque mondiale et de la division de la population des Nations Unies : résume d’orientation. Genève - Suisse: OMS. Report No.: WHO/RHR/19.23.
[2]	Organisation Mondiale de la Santé (2019). Principaux repères sur la mortalité maternelle [Internet]. [cité 18 oct 2020]. Disponible sur: https://www.who.int/fr/news-room/fact-sheets/detail/maternal-mortality
[3]	World Health Organization, World Bank, United Nations Population Fund, United Nations Children’s Fund (2015). Trends in maternal mortality: 1990-2015: estimates from WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division. Geneva, Switzerland: WHO.
[4]	Ministère de Santé (2018). Plan opérationnel de réduction de la mortalité maternelle et néonatale au Bénin. Cotonou, Bénin: MS.
[5]	Institut National de la Statistique et de l’Analyse Economique, ICF (2019). Enquête Démographique et de Santé 2017-2018. Cotonou, Bénin & Rockville, Maryland, USA: INSAE & ICF.
[6]	Bauserman M, Lokangaka A, Thorsten V, Tshefu A, Goudar SS, Esamai F, et al (2015). Risk factors for maternal death and trends in maternal mortality in low- and middle-income countries: a prospective longitudinal cohort analysis. Reprod Health; 12 (2): 1-9.
[7]	Zhao P, Han X, You L, Zhao Y, Yang L, Liu Y (2020). Maternal health services utilization and maternal mortality in China: a longitudinal study from 2009 to 2016. BMC Pregnancy Childbirth; 20 (1): 220.
[8]	World Health Organization, International Confederation of Midwives, Fédération internationale de Gynécologie et d’Obstétrique (2004). Making pregnancy safer : the critical role of the skilled attendant : a joint statement by WHO, ICM and FIGO. Geneva, Switzerland: WHO.
[9]	Ayele GS, Melku AT, Belda SS (2019). Utilization of skilled birth attendant at birth and associated factors among women who gave birth in the last 24 months preceding the survey in Gura Dhamole Woreda, Bale zone, southeast Ethiopia. BMC Public Health; 19 (1): 1501.
[10]	World Health Organization. Births attended by skilled health personnel [Internet]. 2022 [cité 27 sept 2022]. Disponible sur: https://www.who.int/data/nutrition/nlis/info/births-attended-by-skilled-health-personnel
[11]	Buor D, Bream K. An analysis of the determinants of maternal mortality in sub-Saharan Africa. J Womens Health 2002. oct 2004; 13 (8): 926-38.
[12]	Alvarez JL, Gil R, Hernández V, Gil A (2009). Factors associated with maternal mortality in Sub-Saharan Africa: an ecological study. BMC Public Health; 9 (1): 1-8.
[13]	Amouzou A, Ziqi M, Carvajal–Aguirre L, Quinley J. Skilled attendant at birth and newborn survival in Sub–Saharan Africa. J Glob Health. 7 (2): 020504.
[14]	UN Secretary-General, Inter-Agency and Expert Group on Sustainable Development Goal Indicators (2016). Report of the Inter-Agency and Expert Group on Sustainable Development Goal Indicators [cité 29 sept 2022]; Disponible sur: https://digitallibrary.un.org/record/821651
[15]	United Nations Development Group. Indicators for Monitoring the Millennium Development Goals. New York: United Nations; 2003.
[16]	United Nations Children’s Fund, World Health Organization (2022). S. Births attended by skilled health personnel (%) - Joint UNICEF/WHO database [Internet]. Disponible sur: https://data.unicef.org/wp-content/uploads/2018/06/Interagency-SAB-Database_UNICEF_WHO_Jan_2022-1.xlsx
[17]	Ministère de Santé (2021). Annuaire des statistiques sanitaires 2020. Cotonou, Benin: MS.
[18]	Ministère de Santé (2022). Annuaire des statistiques sanitaires 2021. Cotonou, Benin: MS.
[19]	Ministère de la Santé (2018). Plan National de Développement Sanitaire 2018-2022. Cotonou, Bénin: Ministère de la Santé.
[20]	Seidu AA, AhinkaORh BO, Agbaglo E, Oduro JK, Amoah A, Yaya S (2022). Factors associated with the utilisation of skilled delivery services in Papua New Guinea: evidence from the 2016–2018 Demographic and Health Survey. Int Health; 14 (1): 64-73.
[21]	Mezmur M, Navaneetham K, Letamo G, Bariagaber H (2017). Individual, household and contextual factors associated with skilled delivery care in Ethiopia: Evidence from Ethiopian demographic and health surveys. PLoS ONE; 12 (9): e0184688.
[22]	Yaya S, Zegeye B, AhinkaORh BO, Seidu AA, Ameyaw EK, Adjei NK, et al (2021). Predictors of skilled birth attendance among married women in Cameroon: further analysis of 2018 Cameroon Demographic and Health Survey. Reprod Health; 18 (1): 70.
[23]	Ameyaw EK, Dickson KS (2020). Skilled birth attendance in Sierra Leone, Niger, and Mali: analysis of demographic and health surveys. BMC Public Health; 20 (1): 164.
[24]	Kibria GMA, Ghosh S, Hossen S, Barsha RAA, Sharmeen A, Uddin SMI (2017). Factors affecting deliveries attended by skilled birth attendants in Bangladesh. Matern Health Neonatol Perinatol; 3 (1): 7.
[25]	Samuel O, Zewotir T, North D (2021). Decomposing the urban–rural inequalities in the utilisation of maternal health care services: evidence from 27 selected countries in Sub-Saharan Africa. Reprod Health; 18 (1): 216.
[26]	Saaka M, Akuamoah-Boateng J (2020). Prevalence and Determinants of Rural-Urban Utilization of Skilled Delivery Services in Northern Ghana. Scientifica; 2020: e9373476.
[27]	Tessema ZT, Tesema GA (2020). Pooled prevalence and determinants of skilled birth attendant delivery in East Africa countries: a multilevel analysis of Demographic and Health Surveys. Ital J Pediatr; 46 (1): 177.
[28]	République du Bénin (1999). Loi n°97-028 du 15 janvier 1999 portant organisation de l’administration territoriale. [Internet]. 1999. Disponible sur: https://uclgafrica-alga.org/wp-content/uploads/2019/05/Loi-n-97028-du-15-janvier-1999.pdf
[29]	Filmer D, Pritchett LH (2001). Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India. Demography; 38 (1): 115-32.
[30]	Vyas S, Kumaranayake L (2006). Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan; 21 (6): 459-68.
[31]	El Sanharawi M, Naudet F (2013). Comprendre la régression logistique. J Fr Ophtalmol; 36 (8): 710-5.
[32]	Institut National de la Statistique et de l’Analyse Économique. Rapport final - Enquête par grappes à indicateurs multiples (MICS) (2014). Cotonou, Benin: INSAE.
[33]	Institut National de la Statistique et de l’Analyse Economique, Macro International Inc (2007). Enquête Démographique et de Santé 2006. Cotonou, Bénin & Calverton, Maryland, USA: INSAE & Macro International Inc.
[34]	Institut National de la Statistique et de l’Analyse Economique, ORC Macro (2001). Enquête Démographique et de Santé 2001. Cotonou, Bénin & Calverton, Maryland, USA: INSAE & ORC Macro.
[35]	Mannava P, Durrant K, Fisher J, Chersich M, Luchters S (2015). Attitudes and behaviours of maternal health care providers in interactions with clients: a systematic review. Glob Health; 11: 36.
[36]	Krugu JK, Mevissen F, Münkel M, Ruiter R (2017). Beyond love: a qualitative analysis of factors associated with teenage pregnancy among young women with pregnancy experience in Bolgatanga, Ghana. Cult Health Sex; 19 (3): 293-307.
[37]	Christofides NJ, Jewkes RK, Dunkle KL, McCarty F, Jama Shai N, Nduna M, et al (2014). Risk factors for unplanned and unwanted teenage pregnancies occurring over two years of follow-up among a cohort of young South African women. Glob Health Action; 7: 23719.
[38]	Geltore TE, Anore DL, Geltore TE, Anore DL (2021). The Impact of Antenatal Care in Maternal and Perinatal Health. Empowering Midwives and Obstetric Nurses. IntechOpen.
[39]	Turi E, Fekadu G, Taye B, Kejela G, Desalegn M, Mosisa G, et al (2020). The impact of antenatal care on maternal near-miss events in Ethiopia: A systematic review and meta-analysis. Int J Afr Nurs Sci; 13: 100246.
[40]	Tekelab T, Chojenta C, Smith R, Loxton D (2019). The impact of antenatal care on neonatal mortality in sub-Saharan Africa: A systematic review and meta-analysis. PLoS ONE; 14 (9): e0222566.
[41]	World Health Organization (2016). WHO Recommendations on Antenatal Care for a Positive Pregnancy Experience. Geneva, Switzerland: World Health Organization; (WHO Guidelines Approved by the Guidelines Review Committee).
[42]	Attanasso MO (2004). Analyse des déterminants de la pauvreté monétaire des femmes chefs de ménage au Bénin. Mondes En Dev; 128 (4): 41-63.
[43]	Alexandre B, Damien M, Djabar A, Elise A, Mouchitaba L, Raïmi E (2015). Note sur la pauvreté au Bénin en 2015. Cotonou: INSAE.

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Talon Pascaline Yvonne, Saizonou Zinsou Jacques, Kpozehouen Alphonse, Gaffan Nicolas, Akouta Merveille, et al. (2023). Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA. Central African Journal of Public Health, 9(1), 1-11. https://doi.org/10.11648/j.cajph.20230901.11

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ACS Style

Talon Pascaline Yvonne; Saizonou Zinsou Jacques; Kpozehouen Alphonse; Gaffan Nicolas; Akouta Merveille, et al. Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA. Cent. Afr. J. Public Health 2023, 9(1), 1-11. doi: 10.11648/j.cajph.20230901.11

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AMA Style

Talon Pascaline Yvonne, Saizonou Zinsou Jacques, Kpozehouen Alphonse, Gaffan Nicolas, Akouta Merveille, et al. Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA. Cent Afr J Public Health. 2023;9(1):1-11. doi: 10.11648/j.cajph.20230901.11

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@article{10.11648/j.cajph.20230901.11,
  author = {Talon Pascaline Yvonne and Saizonou Zinsou Jacques and Kpozehouen Alphonse and Gaffan Nicolas and Akouta Merveille and Ouendo Edgard-Marius},
  title = {Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA},
  journal = {Central African Journal of Public Health},
  volume = {9},
  number = {1},
  pages = {1-11},
  doi = {10.11648/j.cajph.20230901.11},
  url = {https://doi.org/10.11648/j.cajph.20230901.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20230901.11},
  abstract = {Recourse to skilled birth attendance is known for contributing to a better outcome of pregnancy and childbirth. The purpose of this study was to examine the determinants of skilled birth attendance in Benin. This was a cross-sectional study that involved performing a secondary analysis using data from the fifth Demographic and Health Survey. The study population was women of childbearing age successfully surveyed, usually residing in the households visited, and having had at least one live birth in the five years preceding the survey. The dependent variable was the assistance of a skilled attendant for the last delivery (Yes vs. No). Woman, household, and environmental characteristics were also entered. Multivariate logistic regression was performed to identify the factors that determine births attended by skilled professionals. Overall, 8,816 women were included in the study. Of the women surveyed, 79.39% (95% CI = 77.25-81.38) had delivered with the assistance of a skilled attendant at the end of their last pregnancy. Women aged 30-39 years (aOR = 1.33; 95% CI = 1.09-1.62), with secondary education and above (aOR = 1.34; 95% CI = 1.03-1.75), single (aOR = 1.35; 95% CI = 1.02-1.78), Christian (aOR = 1.97; 95% CI = 1.50-2.58), and professionally active (aOR = 1.27; 95% CI = 1.00-1.60) were more likely to give birth assisted by skilled attendants than, respectively, women aged 40-49 years, with no formal education, in couples, with no religion, and with no work activity, respectively. Similarly, primiparous women (aOR = 1.35; 95% CI = 1.04-1.74) and those who observed antenatal consultations (aOR = 1.83, 95% CI = 1.50-2.23) were more likely to have skilled attendants at delivery than multiparous women and those who did not observe antenatal consultations, respectively. The odds of delivering with skilled attendance were significantly higher for women living in households of 1-5 persons (aOR = 1.22; 95% CI = 1.03-1.44) and wealthy (aOR = 4.79; 95% CI = 2.93-7.85) compared to women living in households of more than five persons and poor, respectively. In addition, disparities related to county of residence were observed. Interventions targeting older women, strengthening education, information and communication, antenatal consultation compliance, women's economic empowerment, and poverty reduction, including addressing geographic disparities, are needed to increase the use of skilled birth attendance by pregnant women.},
 year = {2023}
}

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TY  - JOUR
T1  - Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA
AU  - Talon Pascaline Yvonne
AU  - Saizonou Zinsou Jacques
AU  - Kpozehouen Alphonse
AU  - Gaffan Nicolas
AU  - Akouta Merveille
AU  - Ouendo Edgard-Marius
Y1  - 2023/01/17
PY  - 2023
N1  - https://doi.org/10.11648/j.cajph.20230901.11
DO  - 10.11648/j.cajph.20230901.11
T2  - Central African Journal of Public Health
JF  - Central African Journal of Public Health
JO  - Central African Journal of Public Health
SP  - 1
EP  - 11
PB  - Science Publishing Group
SN  - 2575-5781
UR  - https://doi.org/10.11648/j.cajph.20230901.11
AB  - Recourse to skilled birth attendance is known for contributing to a better outcome of pregnancy and childbirth. The purpose of this study was to examine the determinants of skilled birth attendance in Benin. This was a cross-sectional study that involved performing a secondary analysis using data from the fifth Demographic and Health Survey. The study population was women of childbearing age successfully surveyed, usually residing in the households visited, and having had at least one live birth in the five years preceding the survey. The dependent variable was the assistance of a skilled attendant for the last delivery (Yes vs. No). Woman, household, and environmental characteristics were also entered. Multivariate logistic regression was performed to identify the factors that determine births attended by skilled professionals. Overall, 8,816 women were included in the study. Of the women surveyed, 79.39% (95% CI = 77.25-81.38) had delivered with the assistance of a skilled attendant at the end of their last pregnancy. Women aged 30-39 years (aOR = 1.33; 95% CI = 1.09-1.62), with secondary education and above (aOR = 1.34; 95% CI = 1.03-1.75), single (aOR = 1.35; 95% CI = 1.02-1.78), Christian (aOR = 1.97; 95% CI = 1.50-2.58), and professionally active (aOR = 1.27; 95% CI = 1.00-1.60) were more likely to give birth assisted by skilled attendants than, respectively, women aged 40-49 years, with no formal education, in couples, with no religion, and with no work activity, respectively. Similarly, primiparous women (aOR = 1.35; 95% CI = 1.04-1.74) and those who observed antenatal consultations (aOR = 1.83, 95% CI = 1.50-2.23) were more likely to have skilled attendants at delivery than multiparous women and those who did not observe antenatal consultations, respectively. The odds of delivering with skilled attendance were significantly higher for women living in households of 1-5 persons (aOR = 1.22; 95% CI = 1.03-1.44) and wealthy (aOR = 4.79; 95% CI = 2.93-7.85) compared to women living in households of more than five persons and poor, respectively. In addition, disparities related to county of residence were observed. Interventions targeting older women, strengthening education, information and communication, antenatal consultation compliance, women's economic empowerment, and poverty reduction, including addressing geographic disparities, are needed to increase the use of skilled birth attendance by pregnant women.
VL  - 9
IS  - 1
ER  -

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Author Information

Talon Pascaline Yvonne

Department Policy and Health System, Regional Institute of Public Health, University of Abomey-Calavi, Ouidah, Benin
Saizonou Zinsou Jacques

Department Policy and Health System, Regional Institute of Public Health, University of Abomey-Calavi, Ouidah, Benin
Kpozehouen Alphonse

Department Policy and Health System, Regional Institute of Public Health, University of Abomey-Calavi, Ouidah, Benin
Gaffan Nicolas

Department of Epidemiology, Regional Institute of Public Health, University of Abomey-Calavi, Ouidah, Benin
Akouta Merveille

Department of Epidemiology, Regional Institute of Public Health, University of Abomey-Calavi, Ouidah, Benin
Ouendo Edgard-Marius

Department Policy and Health System, Regional Institute of Public Health, University of Abomey-Calavi, Ouidah, Benin

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Talon Pascaline Yvonne, Saizonou Zinsou Jacques, Kpozehouen Alphonse, Gaffan Nicolas, Akouta Merveille, et al. (2023). Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA. Central African Journal of Public Health, 9(1), 1-11. https://doi.org/10.11648/j.cajph.20230901.11

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ACS Style

Talon Pascaline Yvonne; Saizonou Zinsou Jacques; Kpozehouen Alphonse; Gaffan Nicolas; Akouta Merveille, et al. Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA. Cent. Afr. J. Public Health 2023, 9(1), 1-11. doi: 10.11648/j.cajph.20230901.11

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AMA Style

Talon Pascaline Yvonne, Saizonou Zinsou Jacques, Kpozehouen Alphonse, Gaffan Nicolas, Akouta Merveille, et al. Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA. Cent Afr J Public Health. 2023;9(1):1-11. doi: 10.11648/j.cajph.20230901.11

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@article{10.11648/j.cajph.20230901.11,
  author = {Talon Pascaline Yvonne and Saizonou Zinsou Jacques and Kpozehouen Alphonse and Gaffan Nicolas and Akouta Merveille and Ouendo Edgard-Marius},
  title = {Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA},
  journal = {Central African Journal of Public Health},
  volume = {9},
  number = {1},
  pages = {1-11},
  doi = {10.11648/j.cajph.20230901.11},
  url = {https://doi.org/10.11648/j.cajph.20230901.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20230901.11},
  abstract = {Recourse to skilled birth attendance is known for contributing to a better outcome of pregnancy and childbirth. The purpose of this study was to examine the determinants of skilled birth attendance in Benin. This was a cross-sectional study that involved performing a secondary analysis using data from the fifth Demographic and Health Survey. The study population was women of childbearing age successfully surveyed, usually residing in the households visited, and having had at least one live birth in the five years preceding the survey. The dependent variable was the assistance of a skilled attendant for the last delivery (Yes vs. No). Woman, household, and environmental characteristics were also entered. Multivariate logistic regression was performed to identify the factors that determine births attended by skilled professionals. Overall, 8,816 women were included in the study. Of the women surveyed, 79.39% (95% CI = 77.25-81.38) had delivered with the assistance of a skilled attendant at the end of their last pregnancy. Women aged 30-39 years (aOR = 1.33; 95% CI = 1.09-1.62), with secondary education and above (aOR = 1.34; 95% CI = 1.03-1.75), single (aOR = 1.35; 95% CI = 1.02-1.78), Christian (aOR = 1.97; 95% CI = 1.50-2.58), and professionally active (aOR = 1.27; 95% CI = 1.00-1.60) were more likely to give birth assisted by skilled attendants than, respectively, women aged 40-49 years, with no formal education, in couples, with no religion, and with no work activity, respectively. Similarly, primiparous women (aOR = 1.35; 95% CI = 1.04-1.74) and those who observed antenatal consultations (aOR = 1.83, 95% CI = 1.50-2.23) were more likely to have skilled attendants at delivery than multiparous women and those who did not observe antenatal consultations, respectively. The odds of delivering with skilled attendance were significantly higher for women living in households of 1-5 persons (aOR = 1.22; 95% CI = 1.03-1.44) and wealthy (aOR = 4.79; 95% CI = 2.93-7.85) compared to women living in households of more than five persons and poor, respectively. In addition, disparities related to county of residence were observed. Interventions targeting older women, strengthening education, information and communication, antenatal consultation compliance, women's economic empowerment, and poverty reduction, including addressing geographic disparities, are needed to increase the use of skilled birth attendance by pregnant women.},
 year = {2023}
}

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TY  - JOUR
T1  - Determinants of Childbearing Age Women's Reliance on Skilled Birth in Benin: Secondary Data Analysis Based on the Fifth Demographic and Health SurveyA
AU  - Talon Pascaline Yvonne
AU  - Saizonou Zinsou Jacques
AU  - Kpozehouen Alphonse
AU  - Gaffan Nicolas
AU  - Akouta Merveille
AU  - Ouendo Edgard-Marius
Y1  - 2023/01/17
PY  - 2023
N1  - https://doi.org/10.11648/j.cajph.20230901.11
DO  - 10.11648/j.cajph.20230901.11
T2  - Central African Journal of Public Health
JF  - Central African Journal of Public Health
JO  - Central African Journal of Public Health
SP  - 1
EP  - 11
PB  - Science Publishing Group
SN  - 2575-5781
UR  - https://doi.org/10.11648/j.cajph.20230901.11
AB  - Recourse to skilled birth attendance is known for contributing to a better outcome of pregnancy and childbirth. The purpose of this study was to examine the determinants of skilled birth attendance in Benin. This was a cross-sectional study that involved performing a secondary analysis using data from the fifth Demographic and Health Survey. The study population was women of childbearing age successfully surveyed, usually residing in the households visited, and having had at least one live birth in the five years preceding the survey. The dependent variable was the assistance of a skilled attendant for the last delivery (Yes vs. No). Woman, household, and environmental characteristics were also entered. Multivariate logistic regression was performed to identify the factors that determine births attended by skilled professionals. Overall, 8,816 women were included in the study. Of the women surveyed, 79.39% (95% CI = 77.25-81.38) had delivered with the assistance of a skilled attendant at the end of their last pregnancy. Women aged 30-39 years (aOR = 1.33; 95% CI = 1.09-1.62), with secondary education and above (aOR = 1.34; 95% CI = 1.03-1.75), single (aOR = 1.35; 95% CI = 1.02-1.78), Christian (aOR = 1.97; 95% CI = 1.50-2.58), and professionally active (aOR = 1.27; 95% CI = 1.00-1.60) were more likely to give birth assisted by skilled attendants than, respectively, women aged 40-49 years, with no formal education, in couples, with no religion, and with no work activity, respectively. Similarly, primiparous women (aOR = 1.35; 95% CI = 1.04-1.74) and those who observed antenatal consultations (aOR = 1.83, 95% CI = 1.50-2.23) were more likely to have skilled attendants at delivery than multiparous women and those who did not observe antenatal consultations, respectively. The odds of delivering with skilled attendance were significantly higher for women living in households of 1-5 persons (aOR = 1.22; 95% CI = 1.03-1.44) and wealthy (aOR = 4.79; 95% CI = 2.93-7.85) compared to women living in households of more than five persons and poor, respectively. In addition, disparities related to county of residence were observed. Interventions targeting older women, strengthening education, information and communication, antenatal consultation compliance, women's economic empowerment, and poverty reduction, including addressing geographic disparities, are needed to increase the use of skilled birth attendance by pregnant women.
VL  - 9
IS  - 1
ER  -

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