Betregiorgis Zegeye1, Bright Opoku Ahinkorah2, Dina Idriss-Wheelr3, Olanrewaju Oladimeji4,5,6, Comfort Z Olorunsaiye7, Sanni Yaya8,9. 1. HaSET Maternal and Child Health Research Program, Shewarobit Field Office, Shewarobit, Ethiopia. 2. The Australian Centre for Public and Population Health Research (ACPPHR), Faculty of Health, University of Technology Sydney, Sydney, Australia. 3. Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada. 4. Department of Public Health, Walter Sisulu University, Mthatha, Eastern Cape, South Africa. 5. Faculty of Health Sciences, Durban University of Technology, Durban, South Africa. 6. Department of Family Medicine and Public Health, Faculty of Medicine, University of Botswana, Gaborone, Botswana. 7. Department of Public Health, Arcadia University, Glenside, PA, USA. 8. Faculty of Social Sciences, School of International Development and Global Studies, University of Ottawa, 120 University Private, Ottawa, ON, K1N 6N5, Canada. sanni.yaya@uOttawa.ca. 9. The George Institute for Global Health, Imperial College London, London, UK. sanni.yaya@uOttawa.ca.
Abstract
BACKGROUND: In Senegal, sub-Saharan Africa, many women continue to die from pregnancy and childbirth complications. Even though health facility delivery is a key intervention to reducing maternal death, utilization is low. There is a dearth of evidence on determinants of health facility delivery in Senegal. Therefore, this study investigated the predictors of health facility-based delivery utilization in Senegal. METHODS: Data from the 2017 Senegal Continuous Survey were extracted for this study, and approximately 11,487 ever-married women aged 15-49 years participated. Chi-square test was used to select significant variables and multivariable logistic regression analysis was performed to identify statistically significant predictors at a 95% confidence interval with a 0.05 p-value using Stata version 14 software. RESULTS: Facility-based delivery utilization was 77.7% and the main predictors were maternal educational status (primary school Adjusted Odds Ratio [aOR] = 1.44, 95% CI; 1.14-1.83; secondary school aOR = 1.62, 95% CI; 1.17-2.25), husband's educational status (primary school aOR = 1.65, 95% CI; 1.24-2.20, secondary school aOR = 2.17, 95% CI; 1.52-3.10), maternal occupation (agricultural-self-employed aOR = 0.77, 95% CI; 0.62-0.96), ethnicity (Poular aOR = 0.74, 95% CI; 0.56-0.97), place of residence (rural aOR = 0.57, 95% CI; 0.43, 0.74), media exposure (yes aOR = 1.26, 95% CI; 1.02-1.57), economic status (richest aOR = 5.27, 95% CI; 2.85-9.73), parity (seven and above aOR =0.46, 95% CI; 0.34-0.62), wife beating attitude (refuse aOR =1.23, 95% CI; 1.05-1.44) and skilled antenatal care (ANC) (yes aOR = 4.34, 95% CI; 3.10-6.08). CONCLUSION: Uptake of health facility delivery services was seen among women who were educated, exposed to media, wealthy, against wife-beating, attended ANC by skilled attendants and had educated husbands. On the other hand, women from ethnic groups like Poular, those working in agricultural activities, living in rural setting, and those who had more delivery history were less likely to deliver at a health facility. Therefore, there is the need to empower women by encouraging them to use skilled ANC services in order for them to gain the requisite knowledge they need to enhance their utilization of health facility delivery, whiles at the same time, removing socio-economic barriers to access to health facility delivery that occur from low education, poverty and rural dwelling.
BACKGROUND: In Senegal, sub-Saharan Africa, many women continue to die from pregnancy and childbirth complications. Even though health facility delivery is a key intervention to reducing maternal death, utilization is low. There is a dearth of evidence on determinants of health facility delivery in Senegal. Therefore, this study investigated the predictors of health facility-based delivery utilization in Senegal. METHODS: Data from the 2017 Senegal Continuous Survey were extracted for this study, and approximately 11,487 ever-married women aged 15-49 years participated. Chi-square test was used to select significant variables and multivariable logistic regression analysis was performed to identify statistically significant predictors at a 95% confidence interval with a 0.05 p-value using Stata version 14 software. RESULTS: Facility-based delivery utilization was 77.7% and the main predictors were maternal educational status (primary school Adjusted Odds Ratio [aOR] = 1.44, 95% CI; 1.14-1.83; secondary school aOR = 1.62, 95% CI; 1.17-2.25), husband's educational status (primary school aOR = 1.65, 95% CI; 1.24-2.20, secondary school aOR = 2.17, 95% CI; 1.52-3.10), maternal occupation (agricultural-self-employed aOR = 0.77, 95% CI; 0.62-0.96), ethnicity (Poular aOR = 0.74, 95% CI; 0.56-0.97), place of residence (rural aOR = 0.57, 95% CI; 0.43, 0.74), media exposure (yes aOR = 1.26, 95% CI; 1.02-1.57), economic status (richest aOR = 5.27, 95% CI; 2.85-9.73), parity (seven and above aOR =0.46, 95% CI; 0.34-0.62), wife beating attitude (refuse aOR =1.23, 95% CI; 1.05-1.44) and skilled antenatal care (ANC) (yes aOR = 4.34, 95% CI; 3.10-6.08). CONCLUSION: Uptake of health facility delivery services was seen among women who were educated, exposed to media, wealthy, against wife-beating, attended ANC by skilled attendants and had educated husbands. On the other hand, women from ethnic groups like Poular, those working in agricultural activities, living in rural setting, and those who had more delivery history were less likely to deliver at a health facility. Therefore, there is the need to empower women by encouraging them to use skilled ANC services in order for them to gain the requisite knowledge they need to enhance their utilization of health facility delivery, whiles at the same time, removing socio-economic barriers to access to health facility delivery that occur from low education, poverty and rural dwelling.
Entities:
Keywords:
Global health; Institutional delivery; Maternal health; Reproductive age; Senegal; Sub-Saharan Africa; Women
Authors: William T Story; Sarah A Burgard; Jody R Lori; Fahmida Taleb; Nabeel Ashraf Ali; D M Emdadul Hoque Journal: BMC Pregnancy Childbirth Date: 2012-04-11 Impact factor: 3.007