scholarly journals Institutional Delivery Service Utilization and Associated Factors Among Women Who Delivered within the Last 2 Years in Waka Town, Maraka Woreda, Dawuro Zone, Southern Nation Nationalities Peoples Region, 2020

2021 ◽  
2020 ◽  
Vol 5 (1) ◽  

Background: Delay in institutional delivery refers to the time interval from the first onset of labour to start to receiving first healthcare. Delay in deciding to seek care (first delay), identifying and reaching medical facility (second delay), and receiving adequate and appropriate treatment (third delay) are three major factors that contribute to maternal death in developing countries. The time interval from the first onset of labour to decision to seek emergency obstetric care from health facility and time longer than the expected time (one hour) is considered as first delay. Objective: This study was aimed to investigate delay in deciding to seek institutional delivery care and associated factors among mothers attending public health facilities in Dawuro zone. Methods: Institution based cross-sectional study was employed from March 1-30, 2017. Consecutive sampling technique was used to interview mothers who presented to health facilities to receive delivery service. Data were collected using structured interviewer administered questionnaire. Results: Total of 394 mothers were participated in the study. One hundred sixty six [42%] of the study subjects were delayed in making decision to seek delivery service utilization from health facilities. A significant relationship was found between mother’s residence in rural areas, mother’s educational level primary and below, average monthly income of the family < 1000 ETB & mother’s antenatal care visit less than 4 times and first delay (maternal delay to seek institutional delivery care). Conclusion: Significant number [42%] of mothers delayed in making decision to seek delivery service utilization from health facilities. Therefore, strategies to identify determinants of delay in making decision to seek institutional delivery service and enhance practices for further reduction in this delay is needed.


2020 ◽  
Author(s):  
Adane Nigusie ◽  
Telake Azale ◽  
Mezgebu Yitayal

Abstract Background: Different primary studies in Ethiopia showed the weight of institutional delivery service utilization and the factors associated with it. However, variation among those studies was seen. This study was aimed to estimate the pooled national prevalence and associated factors of Institutional delivery service utilization in Ethiopia.Methods: PubMed, Cochrane library, Web of Science, and Google Scholar were searched. A funnel plot and Egger’s regression test were used to see publication bias. I-squared statistic was applied to check heterogeneity of studies. A weighted Dersimonian laired random effect model was applied to estimate the pooled national prevalence and the effect size of associated factors.Result: A total of twenty four studies were included in this review. The pooled prevalence of Institutional delivery service utilization was 31% (95% CI: 0.30, 0.31; I2 = 0.00%). Attitude towards institutional delivery of 3 studies(AOR=2.83; 95% CI 1.35,5.92 ), maternal age at first pregnancy of 4 studies((AOR= 3.59; 95% CI 2.27,5.69 )), residence setting of 7 studies (AOR= 3.84; 95% CI 1.31, 11.25), educational status of 5 studies(AOR=2.91;95% 1.88,4.52), availability of information source of 6 studies(AOR= 1.80;95% CI 1.16,2.78), ANC follow-up of 13 studies((AOR= 2.57 95% CI 1.46,4.54 )), frequency of ANC follow up of 4 studies(AOR= 4.04;95% CI 1.21,13.46), knowledge of institutional delivery & danger signs during pregnancy of 11 studies((AOR=3.04;95% CI 1.76 ,5.24 )) and place of birth the most recent birth of 4 studies(AOR=8.44;95% CI 5.75,12.39) were identified factors of institutional delivery service utilization.Conclusions: The findings of this review found several modifiable factors such as empowering women through education, promoting antenatal care to prevent home delivery, increasing awareness of women through mass media and making services more accessible would likely to increase utilization of institutional delivery.


2019 ◽  
Author(s):  
Adane Nigusie ◽  
Telake Azale ◽  
Mezgebu Yitayal

Abstract Background: Different primary studies in Ethiopia showed the weight of institutional delivery service utilization and factors associated with it. However, variation among those studies was seen. This study was aimed to estimate the pooled national prevalence and associated factors of Institutional delivery service utilization in Ethiopia. Methods: PubMed, Cochrane library, Web of Science, and Google Scholar were searched. A funnel plot and Egger’s regression test were used to see publication bias. I-squared statistic was applied to check heterogeneity of studies. A weighted inverse variance fixed-effects model and Dersimonian laired random effect model was applied to estimate the pooled national prevalence and the effect size of associated factors. Result: A total of 24 studies with 19,969 participants were used for prevalence estimation. The pooled prevalence of Institutional delivery service utilization was 31% (95% CI: 0.30-0.312; I2 = 0.000%). Attitude towards institutional delivery(AOR=2.83; 95% CI 1.35 5.92 ), maternal age at first pregnancy((AOR= 3.592; 95% CI 2.269 5.686 )), residence setting(AOR= 3.844; 95% CI 1.313 11.253), educational status of mothers(AOR=2.915;95% 1.881-4.517), availability of information source(AOR= 1.797;95% CI 1.160 2.783), ANC follow-up((AOR= 2.574 95% CI 1.460 4.54 )), frequency of ANC follow up(AOR= 4.039;95% CI 1.212 13.462), knowledge of institutional delivery & danger signs during pregnancy((AOR=3.04;95% CI 1.76 5.24 )) and place of birth the most recent birth(AOR=8.44;95% CI 5.748 12.393) were identified factors of institutional delivery service utilization. Conclusions: The prevalence of institutional delivery in Ethiopia remains low. This review may help policy-makers to design institutional delivery service utilization improvements. Keywords: Institutional delivery, service utilization, Ethiopia


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