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      Postpartum modern contraception utilization and its determinants in Ethiopia: A systematic review and meta-analysis

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          Abstract

          Background

          Contraceptive use is the best and most cost-effective strategy to reduce feto-maternal adverse effects of short birth intervals. More than two-thirds of women in developing countries who do not want to conceive are not using contraception methods. Although there were various primary studies in different parts of the country, there is no nationally representative evidence on postpartum modern contraception utilization and its determinants in Ethiopia.

          Objective

          This review was aimed to determine the best available pieces of evidence to pool the magnitude of postpartum modern contraception utilization and find out its determinants.

          Methods

          Published studies were extensively searched by using electronic databases and unpublished studies were identified from the digital library. All observational studies conducted on the magnitude of postpartum modern contraception utilization and its determinants in Ethiopia were included. Data were extracted on the Microsoft Excel spreadsheet and analyzed using STATA 14.1 version. A random-effects model was used to estimate the pooled magnitude of postpartum modern contraception utilization with a 95% confidence interval (CI). Inverse variance (I2) was used to identify the presence of heterogeneity and forest plot was used to estimate the pooled magnitude of postpartum contraception utilization. The presence of publication bias was assessed by funnel plots and Egger’s statistical tests. Sub-group analysis was computed to minimize underlying heterogeneity.

          Findings

          In this review, 19 primary studies were included. The pooled magnitude of postpartum modern contraception utilization in Ethiopia was 45.79% (95%CI 36.45%, 55.13%). The review found that having more than four Antenatal care visits(ANC), having postnatal care visit (PNC), having a formal education, history of family planning use, history of counseling on family planning, and having greater than four alive children as significant determinants of postpartum modern contraception utilization.

          Conclusion

          The magnitude of postpartum modern contraception utilization in Ethiopia was low. ANC visit, PNC visit, maternal educational status, history of previous family planning use, counseling on family planning, and number of alive children were found to be significant determinants of postpartum modern contraception utilization. Therefore, strengthening focused ANC and PNC services to encourage women in utilizing modern contraception during the postnatal period is needed.

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          Most cited references28

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          Quantifying heterogeneity in a meta-analysis.

          The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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            Operating characteristics of a rank correlation test for publication bias.

            An adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations. The test statistic is a direct statistical analogue of the popular "funnel-graph." The number of component studies in the meta-analysis, the nature of the selection mechanism, the range of variances of the effect size estimates, and the true underlying effect size are all observed to be influential in determining the power of the test. The test is fairly powerful for large meta-analyses with 75 component studies, but has only moderate power for meta-analyses with 25 component studies. However, in many of the configurations in which there is low power, there is also relatively little bias in the summary effect size estimate. Nonetheless, the test must be interpreted with caution in small meta-analyses. In particular, bias cannot be ruled out if the test is not significant. The proposed technique has potential utility as an exploratory tool for meta-analysts, as a formal procedure to complement the funnel-graph.
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              Reprint--preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: ResourcesRole: SupervisionRole: ValidationRole: Visualization
                Role: Data curationRole: SupervisionRole: ValidationRole: Visualization
                Role: Formal analysisRole: MethodologyRole: Supervision
                Role: ConceptualizationRole: Data curationRole: MethodologyRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: MethodologyRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: Methodology
                Role: Data curationRole: Formal analysisRole: SupervisionRole: ValidationRole: Visualization
                Role: Methodology
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 December 2020
                2020
                : 15
                : 12
                : e0243776
                Affiliations
                [1 ] School of Nursing and Midwifery, Institutes of Health Sciences, Wollega University, Nekemte, Ethiopia
                [2 ] Department of Public Health, Institutes of Health Sciences, Wollega University, Nekemte, Ethiopia
                [3 ] Department of Pharmacy, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
                James Madison University, UNITED STATES
                Author notes

                Competing Interests: NO authors have competing interests

                [¤]

                Current address: Department of Pharmacology and Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia

                Author information
                https://orcid.org/0000-0002-2550-6759
                Article
                PONE-D-20-05451
                10.1371/journal.pone.0243776
                7735615
                33315904
                e413d2ac-d0ce-40b9-a778-a25b4b49546d
                © 2020 Wakuma 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
                : 25 February 2020
                : 25 November 2020
                Page count
                Figures: 14, Tables: 1, Pages: 21
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Contraception
                Female Contraception
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Contraception
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Metaanalysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Metaanalysis
                Medicine and Health Sciences
                Health Care
                Postpartum Care
                Postnatal Care
                Social Sciences
                Sociology
                Human Families
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Antenatal Care
                Research and Analysis Methods
                Research Assessment
                Systematic Reviews
                People and Places
                Geographical Locations
                Africa
                Ethiopia
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

                Uncategorized
                Uncategorized

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