Cargando…

Prevalence and determinants of unintended childbirth in Ethiopia

BACKGROUND: Ethiopia’s population policy specifically aims to reduce TFR from 7.7 to 4.0 and to increase contraceptive use from 4.0% to 44.0% between 1990 and 2015. In 2011, the use of contraceptive methods increased seven-fold from 4.0% to 27%; and the TFR declined by 38% to 4.8. The use of modern...

Descripción completa

Detalles Bibliográficos
Autores principales: Tebekaw, Yibeltal, Aemro, Bezuhan, Teller, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190466/
https://www.ncbi.nlm.nih.gov/pubmed/25233950
http://dx.doi.org/10.1186/1471-2393-14-326
_version_ 1782338517434630144
author Tebekaw, Yibeltal
Aemro, Bezuhan
Teller, Charles
author_facet Tebekaw, Yibeltal
Aemro, Bezuhan
Teller, Charles
author_sort Tebekaw, Yibeltal
collection PubMed
description BACKGROUND: Ethiopia’s population policy specifically aims to reduce TFR from 7.7 to 4.0 and to increase contraceptive use from 4.0% to 44.0% between 1990 and 2015. In 2011, the use of contraceptive methods increased seven-fold from 4.0% to 27%; and the TFR declined by 38% to 4.8. The use of modern contraceptives is, however, much higher in the capital Addis Ababa (56%) and other urban areas but very low in rural areas (23%) far below the national average (27%). In 2011, one in four Ethiopian women had an unmet need for contraception. The main aim of this study was to assess the pattern and examine the socioeconomic and demographic correlates of unintended childbirth among women 15-49 years in Ethiopia. METHODS: Data from the 2011 nationally representative Ethiopia Demographic and Health Survey are used. It covered 16,515 women of which 7,759 had at least one birth and thus included for this study. Multivariate logistic regression is used to see the net effects of each explanatory variable over the outcome variable. RESULTS: The study found that nearly one in three (32%) births was unintended; and about two-thirds of these were mistimed. The regression model shows that the burden of unintended births in Ethiopia falls more heavily on young, unmarried, higher wealth, high parity, and ethnic majority women and those with less than secondary education and with large household size. These variables showed statistical significance with the outcome variable. CONCLUSION: The study found a relatively high prevalence of unintended childbirth in Ethiopia and this implies high levels of unmet need for child spacing and limiting. There is much need for better targeted family planning programs and strategies to strengthen and improve access to contraceptive services, to raise educational levels, and related information and communication particularly for those affected groups including young, unmarried, multipara, and those with less than secondary level of education. Further quantitative and qualitative research on the consequences of unintended pregnancy and childbirth related to prenatal and perinatal outcomes are vital to document process of change in the problem overtime.
format Online
Article
Text
id pubmed-4190466
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-41904662014-10-10 Prevalence and determinants of unintended childbirth in Ethiopia Tebekaw, Yibeltal Aemro, Bezuhan Teller, Charles BMC Pregnancy Childbirth Research Article BACKGROUND: Ethiopia’s population policy specifically aims to reduce TFR from 7.7 to 4.0 and to increase contraceptive use from 4.0% to 44.0% between 1990 and 2015. In 2011, the use of contraceptive methods increased seven-fold from 4.0% to 27%; and the TFR declined by 38% to 4.8. The use of modern contraceptives is, however, much higher in the capital Addis Ababa (56%) and other urban areas but very low in rural areas (23%) far below the national average (27%). In 2011, one in four Ethiopian women had an unmet need for contraception. The main aim of this study was to assess the pattern and examine the socioeconomic and demographic correlates of unintended childbirth among women 15-49 years in Ethiopia. METHODS: Data from the 2011 nationally representative Ethiopia Demographic and Health Survey are used. It covered 16,515 women of which 7,759 had at least one birth and thus included for this study. Multivariate logistic regression is used to see the net effects of each explanatory variable over the outcome variable. RESULTS: The study found that nearly one in three (32%) births was unintended; and about two-thirds of these were mistimed. The regression model shows that the burden of unintended births in Ethiopia falls more heavily on young, unmarried, higher wealth, high parity, and ethnic majority women and those with less than secondary education and with large household size. These variables showed statistical significance with the outcome variable. CONCLUSION: The study found a relatively high prevalence of unintended childbirth in Ethiopia and this implies high levels of unmet need for child spacing and limiting. There is much need for better targeted family planning programs and strategies to strengthen and improve access to contraceptive services, to raise educational levels, and related information and communication particularly for those affected groups including young, unmarried, multipara, and those with less than secondary level of education. Further quantitative and qualitative research on the consequences of unintended pregnancy and childbirth related to prenatal and perinatal outcomes are vital to document process of change in the problem overtime. BioMed Central 2014-09-18 /pmc/articles/PMC4190466/ /pubmed/25233950 http://dx.doi.org/10.1186/1471-2393-14-326 Text en © Tebekaw et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.
spellingShingle Research Article
Tebekaw, Yibeltal
Aemro, Bezuhan
Teller, Charles
Prevalence and determinants of unintended childbirth in Ethiopia
title Prevalence and determinants of unintended childbirth in Ethiopia
title_full Prevalence and determinants of unintended childbirth in Ethiopia
title_fullStr Prevalence and determinants of unintended childbirth in Ethiopia
title_full_unstemmed Prevalence and determinants of unintended childbirth in Ethiopia
title_short Prevalence and determinants of unintended childbirth in Ethiopia
title_sort prevalence and determinants of unintended childbirth in ethiopia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190466/
https://www.ncbi.nlm.nih.gov/pubmed/25233950
http://dx.doi.org/10.1186/1471-2393-14-326
work_keys_str_mv AT tebekawyibeltal prevalenceanddeterminantsofunintendedchildbirthinethiopia
AT aemrobezuhan prevalenceanddeterminantsofunintendedchildbirthinethiopia
AT tellercharles prevalenceanddeterminantsofunintendedchildbirthinethiopia