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      Institutional delivery and associated factors in rural communities of Central Gondar Zone, Northwest Ethiopia

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          Abstract

          Introduction

          Institutional delivery has been considered as one of the important strategies to improve maternal and child health and significantly reduces birth-related complications. However, it is still low in developing countries though there are some improvements. Hence, the aim of this study was to assess the prevalence of institutional delivery and associated factors in the study area.

          Methods

          A community-based cross-sectional study was conducted. A multistage systematic sampling technique was used to select 1,394 study participants. We collected data from 18–48 years old women by using a structured questionnaire. Binary logistic regression was performed to identify factors at 95% confidence level.

          Results

          The mean age of respondents was 30 (±0.15). The wealth status of 33.48% respondents was poor and 33.33% rich. The prevalence of institutional delivery was 58.17% (95% CI: 55.57%, 60.77%). Multivariable logistic regression showed that demographic factors: women age (≥35years) (AOR = 1.43; 95% CI 1.04, 1.96), having a family size of less than five (AOR = 4.61; 95% CI 3.34, 6.34), having family discussion (AOR = 4.05; 95% CI 2.74, 5.97), distance from the nearby clinic (≤30min) (AOR = 2.92; 95% CI 1.53, 5.58) and decision power about place of delivery (AOR = 2.50; 95% CI 1.56, 4.01); socio-economic factors: husband’s educational status of primary school (AOR = 1.64; 95% CI 1.19, 2.24), middle level household wealth index (AOR = 1.78; 95% CI 1.25, 2.54) and rich level household wealth index (AOR = 2.01; 95% CI 1.42, 2.86); and programmatic factors: antenatal care visit during their recent pregnancy (AOR = 1.86;95% CI 1.16, 2.97) were affects institutional delivery positively. Whereas bad behavior of health workers (AOR = 0.27; 95% CI 0.19, 0.39) negatively affects institutional delivery.

          Conclusion

          Institutional delivery was low in the study area. This study implies that strengthening family discussion and up taking antenatal care services in regular ways are a few of the suggested recommendations.

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          Most cited references36

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          Determinants of antenatal care, institutional delivery and postnatal care services utilization in Nigeria

          Introduction Utilization of antenatal care, institutional delivery and postnatal care services in Nigeria are poor even by african average. Methods We analysed the 2013 Nigeria DHS to determine factors associated with utilization of these health MCH indicators by employing both bivariate and multivariate logistic regressions. Results Overall, 54% of women had at least four ANC visits, 37% delivered in health facility and 29% of new born had postnatal care within two of births. Factors that consistently predict the utilization of the three MCH services are maternal and husband's level education, place of residence, wealth level and parity. Antenatal care strongly predicts both health facility delivery (OR = 2.16, 95%CI: 1.99-2.34) and postnatal care utilization (OR = 4.67, 95%CI: 3.95-5.54); while health facility delivery equally predicting postnatal care (OR = 2.84, 95%CI: 2.20-2.80). Conclusion Improving utilization of these three MCH indicators will require targeting women in the rural areas and those with low level of education as well as creating demand for health facility delivery. Improving ANC use by making it available and accessible will have a multiplier effect of improving facility delivery which will lead to improved postnatal care utilization.
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            Institutional delivery service utilization and associated factors among mothers who gave birth in the last 12 months in Sekela District, North West of Ethiopia: A community - based cross sectional study

            Background Reduction of maternal mortality is a global priority particularly in developing countries including Ethiopia where maternal mortality ratio is one of the highest in the world. The key to reducing maternal mortality ratio and improving maternal health is increasing attendance by skilled health personnel throughout pregnancy and delivery. However, delivery service is significantly lower in Amhara Regional State, Ethiopia. Therefore, this study aimed to assess factors affecting institutional delivery service utilization among mothers who gave birth in the last 12 months in Sekela District, Amhara Region, Ethiopia. Methods Community-based cross-sectional study was conducted among mothers with birth in the last 12 months during August, 2010. Multistage sampling technique was used to select 371 participants. A pre tested and structured questionnaire was used to collect data. Bivariate and multivariate data analysis was performed using SPSS version 16.0 software. Results The study indicated that 12.1% of the mothers delivered in health facilities. Of 87.9% mothers who gave birth at home, 80.0% of them were assisted by family members and relatives. The common reasons for home delivery were closer attention from family members and relatives (60.9%), home delivery is usual practice (57.7%), unexpected labour (33.4%), not being sick or no problem at the time of delivery (21.6%) and family influence (14.4%). Being urban resident (AOR [95% CI] = 4.6 [1.91, 10.9]), ANC visit during last pregnancy (AOR [95% CI] = 4.26 [1.1, 16.4]), maternal education level (AOR [95%CI] =11.98 [3.36, 41.4]) and knowledge of mothers on pregnancy and delivery services (AOR [95% CI] = 2.97[1.1, 8.6]) had significant associations with institutional delivery service utilization. Conclusions Very low institutional delivery service utilization was observed in the study area. Majority of the births at home were assisted by family members and relatives. ANC visit and lack of knowledge on pregnancy and delivery services were found to be associated with delivery service utilization. Strategies with focus on increasing ANC uptake and building knowledge of the mothers and their partners would help to increase utilization of the service. Training and assigning skilled attendants at Health Posta level to provide skilled home delivery would improve utilization of the service.
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              A study of clustered data and approaches to its analysis.

              Statistical analysis is critical in the interpretation of experimental data across the life sciences, including neuroscience. The nature of the data collected has a critical role in determining the best statistical approach to take. One particularly prevalent type of data is referred to as "clustered data." Clustered data are characterized as data that can be classified into a number of distinct groups or "clusters" within a particular study. Clustered data arise most commonly in neuroscience when data are compiled across multiple experiments, for example in electrophysiological or optical recordings taken from synaptic terminals, with each experiment providing a distinct cluster of data. However, there are many other types of experimental design that can yield clustered data. Here, we provide a statistical model for intracluster correlation and systematically investigate a range of methods for analyzing clustered data. Our analysis reveals that it is critical to take data clustering into account and suggests appropriate statistical approaches that can be used to account for data clustering.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: SupervisionRole: VisualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 July 2021
                2021
                : 16
                : 7
                : e0255079
                Affiliations
                [1 ] Department of Health Education and Behavioral Science, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
                [2 ] Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
                [3 ] Department of Epidemiology and Biostatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
                University of Salamanca, SPAIN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-0321-8542
                https://orcid.org/0000-0002-9206-9528
                Article
                PONE-D-20-23995
                10.1371/journal.pone.0255079
                8297840
                34293052
                dd6152f3-23f8-4ffd-807e-ec447b218995
                © 2021 Nigusie et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 August 2020
                : 9 July 2021
                Page count
                Figures: 2, Tables: 4, Pages: 15
                Funding
                I declare that there is no any funding-related text from the manuscript i.e. there is no received grant from any fund agency for this manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Birth
                Labor and Delivery
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Birth
                Labor and Delivery
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Antenatal Care
                People and Places
                Geographical Locations
                Africa
                Ethiopia
                People and Places
                Population Groupings
                Educational Status
                Social Sciences
                Sociology
                Education
                Schools
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Custom metadata
                All the relevant data are within the paper.

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