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Prevalence and factors associated with unskilled childbirth attendance in Guinea: Analysis of the 2018 Demographic and Health Survey.
- Source :
-
African journal of reproductive health [Afr J Reprod Health] 2024 Jun 30; Vol. 28 (6), pp. 47-54. - Publication Year :
- 2024
-
Abstract
- This study aimed to analyze the prevalence and factors associated with the unassisted delivery by qualified health personnel in the Republic of Guinea, based on data from the 2018 demographic and health survey. Multivariate logistic regression was used to identify the associated factors. The prevalence of unassisted delivery was 40.8%; it was 38.4% in rural areas and 2.3% in urban areas. Factors associated with this type of delivery included the performance of no ANC (ORa = 6.19 IC95%: [4.86 - 7.87], p<0.001) and those who had performed one to three ANC (ORa =1.75 IC95%: [1.49 - 2.05], p<0.001) the perception of the distance to the health institution as a problem (ORa =1.28 IC95%: [1.10 - 1.48], p<0.001), belonging to the poor wealth index (ORa = 2.77 IC 95%: [2.19 - 3.50], p<0.001) and average (ORa = 2.01 IC95%: [1.57 - 2.57], p<0.001), the fact of residing in the region of Faranah (ORa = 2.24 IC95%: [1.37 - 3.65], p<0.001) and rural areas (ORa = 4.15 IC95%: [3.10 - 5.56], p<0.001). Strengthening community awareness, making functional ambulances available to rural health centers and making prenatal care inputs available in health institutions would help to reduce the scale of unassisted deliveries in the Republic of Guinea.<br />Competing Interests: The Authors declared no conflict of interest<br /> (African Journal of Reproductive Health © 2024.)
- Subjects :
- Humans
Female
Guinea epidemiology
Pregnancy
Adult
Prevalence
Parturition
Health Services Accessibility
Young Adult
Maternal Health Services statistics & numerical data
Health Surveys
Urban Population statistics & numerical data
Socioeconomic Factors
Adolescent
Middle Aged
Cross-Sectional Studies
Delivery, Obstetric statistics & numerical data
Prenatal Care statistics & numerical data
Rural Population statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1118-4841
- Volume :
- 28
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- African journal of reproductive health
- Publication Type :
- Academic Journal
- Accession number :
- 38979760
- Full Text :
- https://doi.org/10.29063/ajrh2024/v28i6.5