Determinants and spatial distribution of institutional delivery in Ethiopia: evidence from Ethiopian Mini Demographic and Health Surveys 2019.

EMDHS data Ethiopia Institutional delivery Spatial distribution

Journal

Archives of public health = Archives belges de sante publique
ISSN: 0778-7367
Titre abrégé: Arch Public Health
Pays: England
ID NLM: 9208826

Informations de publication

Date de publication:
21 Feb 2022
Historique:
received: 02 08 2021
accepted: 04 02 2022
entrez: 22 2 2022
pubmed: 23 2 2022
medline: 23 2 2022
Statut: epublish

Résumé

Over the past few decades, maternal and child mortality had drawn the attention of governments and policymakers. Institutional delivery has been among the implementations needed to reduce maternal and child mortality. The fact that the problem was persisted intensified studies to research for more factors. Thus, the current study was intended for further analyses of EMDHS to identify the magnitude, spatial patterns, and predictors of institutional delivery. A cross-sectional survey data from EMDHS 2019 was analyzed involving 5488 reproductive-age women regarding institutional deliveries. We presented descriptive statistics using mean, standard deviations, and proportions. To check the nature of the distribution of institutional delivery, we applied the global Moran's I statistics. Getis-Ord Gi statistics was applied to detect spatial locations, and we applied spatial interpolation to predict unknown locations of institutional delivery using the Ordinary Kriging method. Kulldorff's SatScan was also applied to identify the specific local clustering nature of institutional delivery using the Bernoulli method. We applied multilevel binary logistic regression for the scrutiny of individual and community-level factors. We applied P < 0.25 to include variables in the model and P < 0.05 to declare associations. AOR with 95% CI was used to describe variables. The prevalence of institution/facility delivery was 2666.45(48.58%) in the survey. The average number of children was 4.03 ± 2.47, and most women in this survey were in the age range of the 25-29 years (31.84%) and 30-34 years (21.61%). Women who learned primary education (AOR = 1.52; 95% CI 1.20-1.95), secondary education (AOR = 1.77; 95% CI 1.03-3.07), and higher education (AOR = 5.41; 95% 1.91-15.25), while those who can read and write sentences (AOR = 1.94; 95% 1.28-2.94), Rich (AOR = 2.40 95% CI 1.82-3.16), and those followed 1-2 ANC (AOR = 2.08; 95% CI 1.57-2.76), 3 ANCs (AOR = 3.24; 95% CI 2.51-418), and ≥ 4 ANCs (AOR = 4.91; 95% CI 3.93-6.15) had higher odds of delivering at health institutions. The institutional delivery was unsatisfactory in Ethiopia, and there were various factors associated differently across the different regions. Pastoralist regions showed high home delivery than institutions which invites further interventions specific to those regions. Factors like age, highest education level achieved, preceding birth interval, literacy status, wealth status, birth order, regions, and rural residences were all affected institutional delivery so that interventions considering awareness, access, and availability of the services are vital. Maternal and child mortality had drawn the attention of governments and policymakers internationally since 1990s. A lot has been said and tried to reduce maternal and child mortality rates by the government of Ethiopia. Initially, toward the end of MDGs period, the country has been successful in achieving some of the goals related to child and maternal mortality. However, after scene of many implementations, now everything looks downcast again. This fact sparked the need to re-assess the status of the country and provide information for further policy decisions. Currently, we were aimed at providing country representative information from EMDHS data regarding the magnitude, spatial pattern, and predictors of in institutional delivery.Factors like age, highest education level achieved, preceding birth interval, literacy status, wealth status, birth order, regions, and rural residences were all affected institutional delivery. However, since home delivery was higher and more worsen in pastoralist regions in the country, it should draw more attentions to make interventions considering awareness, access, and availability of the services in vital areas.

Sections du résumé

BACKGROUND BACKGROUND
Over the past few decades, maternal and child mortality had drawn the attention of governments and policymakers. Institutional delivery has been among the implementations needed to reduce maternal and child mortality. The fact that the problem was persisted intensified studies to research for more factors. Thus, the current study was intended for further analyses of EMDHS to identify the magnitude, spatial patterns, and predictors of institutional delivery.
METHODS METHODS
A cross-sectional survey data from EMDHS 2019 was analyzed involving 5488 reproductive-age women regarding institutional deliveries. We presented descriptive statistics using mean, standard deviations, and proportions. To check the nature of the distribution of institutional delivery, we applied the global Moran's I statistics. Getis-Ord Gi statistics was applied to detect spatial locations, and we applied spatial interpolation to predict unknown locations of institutional delivery using the Ordinary Kriging method. Kulldorff's SatScan was also applied to identify the specific local clustering nature of institutional delivery using the Bernoulli method. We applied multilevel binary logistic regression for the scrutiny of individual and community-level factors. We applied P < 0.25 to include variables in the model and P < 0.05 to declare associations. AOR with 95% CI was used to describe variables.
RESULTS RESULTS
The prevalence of institution/facility delivery was 2666.45(48.58%) in the survey. The average number of children was 4.03 ± 2.47, and most women in this survey were in the age range of the 25-29 years (31.84%) and 30-34 years (21.61%). Women who learned primary education (AOR = 1.52; 95% CI 1.20-1.95), secondary education (AOR = 1.77; 95% CI 1.03-3.07), and higher education (AOR = 5.41; 95% 1.91-15.25), while those who can read and write sentences (AOR = 1.94; 95% 1.28-2.94), Rich (AOR = 2.40 95% CI 1.82-3.16), and those followed 1-2 ANC (AOR = 2.08; 95% CI 1.57-2.76), 3 ANCs (AOR = 3.24; 95% CI 2.51-418), and ≥ 4 ANCs (AOR = 4.91; 95% CI 3.93-6.15) had higher odds of delivering at health institutions.
CONCLUSION CONCLUSIONS
The institutional delivery was unsatisfactory in Ethiopia, and there were various factors associated differently across the different regions. Pastoralist regions showed high home delivery than institutions which invites further interventions specific to those regions. Factors like age, highest education level achieved, preceding birth interval, literacy status, wealth status, birth order, regions, and rural residences were all affected institutional delivery so that interventions considering awareness, access, and availability of the services are vital.
Maternal and child mortality had drawn the attention of governments and policymakers internationally since 1990s. A lot has been said and tried to reduce maternal and child mortality rates by the government of Ethiopia. Initially, toward the end of MDGs period, the country has been successful in achieving some of the goals related to child and maternal mortality. However, after scene of many implementations, now everything looks downcast again. This fact sparked the need to re-assess the status of the country and provide information for further policy decisions. Currently, we were aimed at providing country representative information from EMDHS data regarding the magnitude, spatial pattern, and predictors of in institutional delivery.Factors like age, highest education level achieved, preceding birth interval, literacy status, wealth status, birth order, regions, and rural residences were all affected institutional delivery. However, since home delivery was higher and more worsen in pastoralist regions in the country, it should draw more attentions to make interventions considering awareness, access, and availability of the services in vital areas.

Autres résumés

Type: plain-language-summary (eng)
Maternal and child mortality had drawn the attention of governments and policymakers internationally since 1990s. A lot has been said and tried to reduce maternal and child mortality rates by the government of Ethiopia. Initially, toward the end of MDGs period, the country has been successful in achieving some of the goals related to child and maternal mortality. However, after scene of many implementations, now everything looks downcast again. This fact sparked the need to re-assess the status of the country and provide information for further policy decisions. Currently, we were aimed at providing country representative information from EMDHS data regarding the magnitude, spatial pattern, and predictors of in institutional delivery.Factors like age, highest education level achieved, preceding birth interval, literacy status, wealth status, birth order, regions, and rural residences were all affected institutional delivery. However, since home delivery was higher and more worsen in pastoralist regions in the country, it should draw more attentions to make interventions considering awareness, access, and availability of the services in vital areas.

Identifiants

pubmed: 35189954
doi: 10.1186/s13690-022-00825-2
pii: 10.1186/s13690-022-00825-2
pmc: PMC8862569
doi:

Types de publication

Journal Article

Langues

eng

Pagination

65

Informations de copyright

© 2022. The Author(s).

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Auteurs

Girma Gilano (G)

Department of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia. gilanog@yahoo.com.

Samuel Hailegebreal (S)

Department of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.

Biniyam Tariku Seboka (BT)

Department of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Dilla University, Dilla, Ethiopia.

Classifications MeSH