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      Geographic variation and associated factors of long-acting contraceptive use among reproductive-age women in Ethiopia: a multi-level and spatial analysis of Ethiopian Demographic and Health Survey 2016 data

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          Abstract

          Background

          High fertility rates and unintended pregnancies are public health concerns of lower and middle income countries such as Ethiopia. Long acting contraceptives (LACs) take the lion’s share in reducing unintended pregnancies and high fertility rates. Despite their numerous advantages, the utilization of LACs remains low in Ethiopia. This study is aimed to explore the geographic variation and associated factors of long acting contraceptive use among reproductive-age women in Ethiopia.

          Methods

          This is a secondary data analysis of 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total of weighted sample sizes of 10,439 reproductive-age women were included in the final analysis. To clean and analyze the none-spatial data Stata 14 was used while ArcGIS 10.6 and SaTScanTM version 9.6 software were used for spatial analysis. Multilevel Mixed-effect Logistic regression model was used to identify associated factors of LACs utilization. An Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was reported to identify significant variables.

          Results

          Long acting contraceptive utilization was non-random (Moran’s I: 0.30, p-value < 0.01). Statistically, clusters with significant low utilization of LACs were found in Somali, Afar, Gambela, northern Amhara, eastern Oromia and western part of Southern Nations Nationalities and Peoples (SNNP) regions. Adjusting for other factors such as being married (AOR = 2.51, 95% CI: 1.29–4.87), having one to two (AOR = 2.14, 95% CI: 1.43–3.22), and three to four children (AOR = 1.68, 95% CI: 1.02–2.76), urban (AOR = 1.59, 95% CI: 1.16–2.19), want no more children (AOR = 1.40, 95% CI: 1.08–1.83), working status of women (AOR = 1.33, 95% CI: 1.07–1.65) increased the odds of LACs utilization. While previous history of abortion (AOR = 0.56, 95% CI: 0.39–0.80), and living in the pastoralist community (AOR = 0.22, 95% CI: 0.14–0.35) reduced the odds of LACs utilization in Ethiopia

          Conclusions

          Significant geographic variation of LACs utilization was observed in Ethiopia. Spots with Low LACs utilization were found in the eastern, north eastern and western part of the country. Socio-demographic and pregnancy related factors were significant determinants of LACs utilization. Designing intervention programs targeting the identified hot spot clusters, and variables that can hinder the utilization of LACs is very important to increase the utilization.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12978-021-01171-2.

          Plain language summary

          Lower and middle-income countries such as Ethiopia face a challenge of an ever increasing population with high maternal mortality. In Ethiopia, the population is estimated to be more than 110 million. High fertility rates, unintended pregnancy, maternal and child mortalities are the main concerns of the country. Accordingly, it is required of the country to make a robust intervention to limit these public concerns. In relation to this, LACs utilization happens to be one of the solutions to solving the concerns. Despite their efficacy, availability, and acceptability the utilization of LACs remains low and varies among different geographic areas. However, the reason is still undefined and geographic variation was not assessed before.

          In our study, we analyze the Ethiopian demographic and health survey 2016 data to assess the presence of significant geographic variation and associated factors of long-acting contraceptive utilization. Hence, a spatial and multilevel analysis were employed to assess the geographic variation and associated factors of LACs utilization in Ethiopia.

          A statistically significant geographic variation was observed among different clusters. Clusters with significantly low utilization of LACs were found in the pastoralist (Afar, Gambela, and Somalia) regions of the country. Thus, more organized efforts need to be made to increase the utilization of LACs. Controlling for others: Marital statuses, occupation, future pregnancy interest, urban residence, previous history of abortion, living in the pastoralist community were statistically significant determinant factors of LACs utilization.

          In conclusion, significant geographic variation of LACs utilization was observed among different clusters. Besides, different socio-demographic, pregnancy, and child health-related variables were significant determinants of LACs utilization.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12978-021-01171-2.

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          Most cited references31

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          A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena.

          In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression. The aim of this study was to present measures of variation appropriate for the logistic case in a didactic rather than a mathematical way. Data were used from the health survey conducted in 2000 in the county of Scania, Sweden, that comprised 10 723 persons aged 18-80 years living in 60 areas. Conducting multilevel logistic regression different techniques were applied to investigate whether the individual propensity to consult private physicians was statistically dependent on the area of residence (that is, intraclass correlation (ICC), median odds ratio (MOR)), the 80% interval odds ratio (IOR-80), and the sorting out index). The MOR provided more interpretable information than the ICC on the relevance of the residential area for understanding the individual propensity of consulting private physicians. The MOR showed that the unexplained heterogeneity between areas was of greater relevance than the individual variables considered in the analysis (age, sex, and education) for understanding the individual propensity of visiting private physicians. Residing in a high education area increased the probability of visiting a private physician. However, the IOR showed that the unexplained variability between areas did not allow to clearly distinguishing low from high propensity areas with the area educational level. The sorting out index was equal to 82%. Measures of variation in logistic regression should be promoted in social epidemiological and public health research as efficient means of quantifying the importance of the context of residence for understanding disparities in health and health related behaviour.
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            Maternal deaths averted by contraceptive use: an analysis of 172 countries.

            Family planning is one of the four pillars of the Safe Motherhood Initiative to reduce maternal death in developing countries. We aimed to estimate the effect of contraceptive use on maternal mortality and the expected reduction in maternal mortality if the unmet need for contraception were met, at country, regional, and world levels. We extracted relevant data from the Maternal Mortality Estimation Inter-Agency Group (MMEIG) database, the UN World Contraceptive Use 2010 database, and the UN World Population Prospects 2010 database, and applied a counterfactual modelling approach (model I), replicating the MMEIG (WHO) maternal mortality estimation method, to estimate maternal deaths averted by contraceptive use in 172 countries. We used a second model (model II) to make the same estimate for 167 countries and to estimate the effect of satisfying unmet need for contraception. We did sensitivity analyses and compared agreement between the models. We estimate, using model I, that 342,203 women died of maternal causes in 2008, but that contraceptive use averted 272,040 (uncertainty interval 127,937-407,134) maternal deaths (44% reduction), so without contraceptive use, the number of maternal deaths would have been 1·8 times higher than the 2008 total. Satisfying unmet need for contraception could prevent another 104,000 maternal deaths per year (29% reduction). Numbers of unwanted pregnancies and unmet contraceptive need are still high in many developing countries. We provide evidence that use of contraception is a substantial and effective primary prevention strategy to reduce maternal mortality in developing countries. Bill and Melinda Gates Foundation. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon.

              This didactical essay is directed to readers disposed to approach multilevel regression analysis (MLRA) in a more conceptual than mathematical way. However, it specifically develops an epidemiological vision on multilevel analysis with particular emphasis on measures of health variation (for example, intraclass correlation). Such measures have been underused in the literature as compared with more traditional measures of association (for example, regression coefficients) in the investigation of contextual determinants of health. A link is provided, which will be comprehensible to epidemiologists, between MLRA and social epidemiological concepts, particularly between the statistical idea of clustering and the concept of contextual phenomenon. The study uses an example based on hypothetical data on systolic blood pressure (SBP) from 25,000 people living in 39 neighbourhoods. As the focus is on the empty MLRA model, the study does not use any independent variable but focuses mainly on SBP variance between people and between neighbourhoods. The intraclass correlation (ICC = 0.08) informed of an appreciable clustering of individual SBP within the neighbourhoods, showing that 8% of the total individual differences in SBP occurred at the neighbourhood level and might be attributable to contextual neighbourhood factors or to the different composition of neighbourhoods. The statistical idea of clustering emerges as appropriate for quantifying "contextual phenomena" that is of central relevance in social epidemiology. Both concepts convey that people from the same neighbourhood are more similar to each other than to people from different neighbourhoods with respect to the health outcome variable.
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                Author and article information

                Contributors
                abdulkadiroumer59@gmail.com
                ejigugebeye@gmail.com
                goshuatalay12@gmail.com
                Journal
                Reprod Health
                Reprod Health
                Reproductive Health
                BioMed Central (London )
                1742-4755
                10 June 2021
                10 June 2021
                2021
                : 18
                : 122
                Affiliations
                [1 ]GRID grid.459905.4, ISNI 0000 0004 4684 7098, Department of Public Health, College of Health Sciences, , Samara University, ; Samara, Ethiopia
                [2 ]GRID grid.59547.3a, ISNI 0000 0000 8539 4635, Department of Epidemiology and Biostatistics, College of Medicine and Health Sciences, , University of Gondar, ; P.O. Box 196, Gondar, Ethiopia
                Author information
                http://orcid.org/0000-0002-2556-4158
                Article
                1171
                10.1186/s12978-021-01171-2
                8194103
                34112194
                f2c62834-f00c-489a-9c46-a28a554aeb3e
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 12 December 2019
                : 6 June 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Obstetrics & Gynecology
                long-acting contraceptive,geographic variation,ethiopia
                Obstetrics & Gynecology
                long-acting contraceptive, geographic variation, ethiopia

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