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      Determinants of change in long-acting or permanent contraceptives use in Ethiopia; A multivariate decomposition analysis of data from the Ethiopian demographic and health survey

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          Abstract

          Background

          There has been an increase in the uptake of long-acting or permanent contraceptive methods (LAPMs) in Ethiopia. Identifying the factors associated with this change is important for designing interventions that will further accelerate the uptake. This study was done to identify components of, and factors associated with, changes in the use of LAPMs in Ethiopia.

          Methods

          Information about 16,336 married or in-union reproductive-age women were extracted from the 2005 and 2016 Ethiopian Demographic and Health Surveys (EDHS). Normalized weighting was used to compensate for disproportionate sampling and non-response in the survey. The two data sets were merged and analyzed using multivariate decomposition analysis.

          Result

          From 2005 to 2016, the use of LAPMs increased by 12.0 percentage points. Changes in the characteristics of women (compositional factors) were responsible for nearly 7.0% of the observed difference. Most of the change (92.0%) was attributable to differences in the effects of characteristics. Age, working status, woman’s occupation, concordance on the desired number of children between women and their partners, and a visit by health workers in the 12 months before the survey were all significantly associated with the change.

          Conclusion

          The contribution of variation in the survey population structure was not significant for the observed change. The change in the use of LAPMs was mainly due to behavioral changes among older, educated and working women, and women visited by health workers.

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          Mvdcmp: Multivariate Decomposition for Nonlinear Response Models

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            Efficacy and safety of long-acting reversible contraception.

            Long-acting reversible contraception (LARC) includes intrauterine devices (IUDs) and the subdermal implant. These methods are the most effective reversible methods of contraception, and have the additional advantages of being long-lasting, convenient, well liked by users and cost effective. Compared with other user-dependent methods that increase the risk of noncompliance-related method failure, LARC methods can bring 'typical use' failure rates more in line with 'perfect use' failure rates. LARC methods are 'forgettable'; they are not dependent on compliance with a pill-taking regimen, remembering to change a patch or ring, or coming back to the clinician for an injection. LARC method failure rates rival that of tubal sterilization at <1% for IUDs and the subdermal implant. For these reasons, we believe that IUDs and implants should be offered as first-line contraception for most women. This article provides a review of the LARC methods that are currently available in the US, including their effectiveness, advantages, disadvantages and contraindications. Additionally, we dispel myths and misconceptions regarding IUDs, and address the barriers to LARC use.
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              Trends of Modern Contraceptive Use among Young Married Women Based on the 2000, 2005, and 2011 Ethiopian Demographic and Health Surveys: A Multivariate Decomposition Analysis

              Introduction Accessing family planning can reduce a significant proportion of maternal, infant, and childhood deaths. In Ethiopia, use of modern contraceptive methods is low but it is increasing. This study aimed to analyze the trends and determinants of changes in modern contraceptive use over time among young married women in Ethiopia. Methods The study used data from the three Demographic Health Surveys conducted in Ethiopia, in 2000, 2005, and 2011. Young married women age 15–24 years with sample sizes of 2,157 in 2000, 1,904 in 2005, and 2,146 in 2011 were included. Logit-based decomposition analysis technique was used for analysis of factors contributing to the recent changes. STATA 12 was employed for data management and analyses. All calculations presented in this paper were weighted for the sampling probabilities and non-response. Complex sampling procedures were also considered during testing of statistical significance. Results Among young married women, modern contraceptive prevalence increased from 6% in 2000 to 16% in 2005 and to 36% in 2011. The decomposition analysis indicated that 34% of the overall change in modern contraceptive use was due to difference in women’s characteristics. Changes in the composition of young women’s characteristics according to age, educational status, religion, couple concordance on family size, and fertility preference were the major sources of this increase. Two-thirds of the increase in modern contraceptive use was due to difference in coefficients. Most importantly, the increase was due to change in contraceptive use behavior among the rural population (33%) and among Orthodox Christians (16%) and Protestants (4%). Conclusions Modern contraceptive use among young married women has showed a remarkable increase over the last decade in Ethiopia. Programmatic interventions targeting poor, younger (adolescent), illiterate, and Muslim women would help to maintain the increasing trend in modern contraceptive use.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 January 2020
                2020
                : 15
                : 1
                : e0227218
                Affiliations
                [1 ] Institute of Life and Earth Sciences (including health and Agriculture) Pan African University, University of Ibadan, Ibadan, Nigeria
                [2 ] College of Medicine and Health Sciences, School of Public Health, Bahir Dar University, Bahir Dar, Ethiopia
                [3 ] Department of Obstetrics and Gynecology, College of Medicine, University of Ibadan, University College Hospital, Ibadan, Nigeria
                [4 ] School of Public health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
                University of Botswana, BOTSWANA
                Author notes

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

                Author information
                http://orcid.org/0000-0002-9912-8332
                Article
                PONE-D-19-23062
                10.1371/journal.pone.0227218
                6959602
                31935224
                75d7e147-a2cf-4b57-9671-893e1474d85e
                © 2020 Fekadu 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
                : 15 August 2019
                : 13 December 2019
                Page count
                Figures: 1, Tables: 3, Pages: 11
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Contraception
                Female Contraception
                People and Places
                Population Groupings
                Age Groups
                Children
                People and Places
                Population Groupings
                Families
                Children
                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
                Pharmacology
                Drugs
                Contraceptives
                Biology and Life Sciences
                Bioengineering
                Biotechnology
                Medical Devices and Equipment
                Contraceptives
                Engineering and Technology
                Bioengineering
                Biotechnology
                Medical Devices and Equipment
                Contraceptives
                Medicine and Health Sciences
                Medical Devices and Equipment
                Contraceptives
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Biology and Life Sciences
                Psychology
                Behavior
                Social Sciences
                Psychology
                Behavior
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Health Surveys
                Social Sciences
                Anthropology
                Cultural Anthropology
                Religion
                Social Sciences
                Sociology
                Religion
                Custom metadata
                For this analysis, we used the 2005 and 2016 Ethiopian demographic and health survey data sets. The data was accessed from The DHS Program website ( https://dhsprogram.com/data/available-datasets.cfm) for free. We do not have special access privileges to this data. All authors can access the data from this website. To get the data, authors should register and log in. While login, they requested to state the project title, co-researchers' name and email and a brief description of the study. After that, the researchers continue to select the country and the data set. Within a few days, he/she will get permission to download the data via email. After the permission, the researcher can log in and select the specific data with the format he/she wants.

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