Cargando…
Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014
BACKGROUND: Documentary evidence points to high unmet need for family planning across sub-Saharan Africa. Modern contraceptive use has been staggering over decades with unacceptable marginal increases given that one in three women still report unmet need in Ghana. This study sought to re-examine thr...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352348/ https://www.ncbi.nlm.nih.gov/pubmed/30723547 http://dx.doi.org/10.1186/s40834-018-0083-8 |
_version_ | 1783390815034277888 |
---|---|
author | Wulifan, Joseph K. Mazalale, Jacob Kambala, Christabel Angko, William Asante, Job Kpinpuo, Stephen Kalolo, Albino |
author_facet | Wulifan, Joseph K. Mazalale, Jacob Kambala, Christabel Angko, William Asante, Job Kpinpuo, Stephen Kalolo, Albino |
author_sort | Wulifan, Joseph K. |
collection | PubMed |
description | BACKGROUND: Documentary evidence points to high unmet need for family planning across sub-Saharan Africa. Modern contraceptive use has been staggering over decades with unacceptable marginal increases given that one in three women still report unmet need in Ghana. This study sought to re-examine through a further analysis on the prevalence and determinants of unmet need for family planning in Ghana using married women extracted from the recent 2014 Ghana Demographic and Health Survey. METHOD: Data was analyzed using univariate, bivariate, logistic and multinomial logistic regression models. RESULTS: Of the 4527 women, more than a third (35.17%) experienced unmet need of which 20.19% had unmet need for spacing while 14.98% reported unmet need for limiting. The logistic results showed that older aged women, being employed and women with higher ideal number of children were less likely to experience unmet need. However, women who did not know the couples’ preferred number of children, women who had more than one union and those with higher number of living biological children were more likely to report unmet need. From the multinomial model, an increase in age, residing in a rural area, and being employed were associated with lower risk of unmet need for spacing. Additionally, Women who did not know the couples’ ideal number of children, women who had higher age when they got married, and women with higher number of biological children were more likely to report unmet need for spacing. Women who had a higher number of ideal children, women who had secondary or higher education, women from higher socio-economic households, were less likely to report unmet need for limiting. . CONCLUSIONS: We recommend the strengthening of contraception services in order to address the various age specific needs and women within the different socio-demographic sects so as to reduce unmet need. Addressing the needs of women with increasing number of living biological children is equally paramount. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40834-018-0083-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6352348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63523482019-02-05 Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014 Wulifan, Joseph K. Mazalale, Jacob Kambala, Christabel Angko, William Asante, Job Kpinpuo, Stephen Kalolo, Albino Contracept Reprod Med Research BACKGROUND: Documentary evidence points to high unmet need for family planning across sub-Saharan Africa. Modern contraceptive use has been staggering over decades with unacceptable marginal increases given that one in three women still report unmet need in Ghana. This study sought to re-examine through a further analysis on the prevalence and determinants of unmet need for family planning in Ghana using married women extracted from the recent 2014 Ghana Demographic and Health Survey. METHOD: Data was analyzed using univariate, bivariate, logistic and multinomial logistic regression models. RESULTS: Of the 4527 women, more than a third (35.17%) experienced unmet need of which 20.19% had unmet need for spacing while 14.98% reported unmet need for limiting. The logistic results showed that older aged women, being employed and women with higher ideal number of children were less likely to experience unmet need. However, women who did not know the couples’ preferred number of children, women who had more than one union and those with higher number of living biological children were more likely to report unmet need. From the multinomial model, an increase in age, residing in a rural area, and being employed were associated with lower risk of unmet need for spacing. Additionally, Women who did not know the couples’ ideal number of children, women who had higher age when they got married, and women with higher number of biological children were more likely to report unmet need for spacing. Women who had a higher number of ideal children, women who had secondary or higher education, women from higher socio-economic households, were less likely to report unmet need for limiting. . CONCLUSIONS: We recommend the strengthening of contraception services in order to address the various age specific needs and women within the different socio-demographic sects so as to reduce unmet need. Addressing the needs of women with increasing number of living biological children is equally paramount. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40834-018-0083-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-30 /pmc/articles/PMC6352348/ /pubmed/30723547 http://dx.doi.org/10.1186/s40834-018-0083-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Wulifan, Joseph K. Mazalale, Jacob Kambala, Christabel Angko, William Asante, Job Kpinpuo, Stephen Kalolo, Albino Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014 |
title | Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014 |
title_full | Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014 |
title_fullStr | Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014 |
title_full_unstemmed | Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014 |
title_short | Prevalence and determinants of unmet need for family planning among married women in Ghana-a multinomial logistic regression analysis of the GDHS, 2014 |
title_sort | prevalence and determinants of unmet need for family planning among married women in ghana-a multinomial logistic regression analysis of the gdhs, 2014 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352348/ https://www.ncbi.nlm.nih.gov/pubmed/30723547 http://dx.doi.org/10.1186/s40834-018-0083-8 |
work_keys_str_mv | AT wulifanjosephk prevalenceanddeterminantsofunmetneedforfamilyplanningamongmarriedwomeninghanaamultinomiallogisticregressionanalysisofthegdhs2014 AT mazalalejacob prevalenceanddeterminantsofunmetneedforfamilyplanningamongmarriedwomeninghanaamultinomiallogisticregressionanalysisofthegdhs2014 AT kambalachristabel prevalenceanddeterminantsofunmetneedforfamilyplanningamongmarriedwomeninghanaamultinomiallogisticregressionanalysisofthegdhs2014 AT angkowilliam prevalenceanddeterminantsofunmetneedforfamilyplanningamongmarriedwomeninghanaamultinomiallogisticregressionanalysisofthegdhs2014 AT asantejob prevalenceanddeterminantsofunmetneedforfamilyplanningamongmarriedwomeninghanaamultinomiallogisticregressionanalysisofthegdhs2014 AT kpinpuostephen prevalenceanddeterminantsofunmetneedforfamilyplanningamongmarriedwomeninghanaamultinomiallogisticregressionanalysisofthegdhs2014 AT kaloloalbino prevalenceanddeterminantsofunmetneedforfamilyplanningamongmarriedwomeninghanaamultinomiallogisticregressionanalysisofthegdhs2014 |