Prevalence and correlates of unintended pregnancy in Ghana: Analysis of 2014 Ghana Demographic and Health Survey.

Ameyaw, EK

Prevalence and correlates of unintended pregnancy in Ghana: Analysis of 2014 Ghana Demographic and Health Survey.

Ameyaw, EK

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Publication Type:: Journal Article
Citation:: Matern Health Neonatol Perinatol, 2018, 4 pp. 17 - ?
Issue Date:: 2018

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Field	Value	Language
dc.contributor.author	Ameyaw, EK https://orcid.org/0000-0002-6617-237X	en_US
dc.date.available	2018-05-24	en_US
dc.date.issued	2018	en_US
dc.identifier.citation	Matern Health Neonatol Perinatol, 2018, 4 pp. 17 - ?	en_US
dc.identifier.issn	2054-958X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127528
dc.description.abstract	Background: Unintended pregnancies increase levels of stress, adoption of risky behaviours and impact on women's general quality of life. In Ghana, in spite of the paucity of literature on unintended pregnancies, the phenomenon is high especially among women in the early years of their reproductive health. This study therefore sought to investigate the prevalence and correlates of unintended pregnancies in Ghana. Methods: This study made use of data from the 2014 Ghana Demographic and Health Survey. Descriptive statistics were conducted whereby prevalence of unintended pregnancy was presented in proportions. This was followed by binary logistic regression to investigate correlates associated with unintended pregnancy. Results: Descriptively, unintended pregnancies were high among women aged 15-19 years (69.4%), unmarried women (45.1%) and non-working women (40.0%). Factors found to be associated with the phenomenon were age, parity and level of education. The binary logistic regression revealed that women in middle wealth category were 1.42 times more probable of having unintended pregnancy than poor women whilst rich women were less likely to experience unintended pregnancy [OR = 0.89, CI = 0.35-0.79] as compared to poor women. Again, urban women were more likely to experience unintended pregnancies as compared rural women [OR = 1.39, CI = 0.86-1.95]. Conclusion: The study has indicated that specific interventions must be targeted at different categories of women. The Reproductive and Child Health unit of the Ghana Health Service ought to collaborate with non-governmental organisations to intensify access to well-tailored family planning services among adolescents and young women, women out of marriage and the non-working category.	en_US
dc.language	eng	en_US
dc.relation.ispartof	Matern Health Neonatol Perinatol	en_US
dc.relation.isbasedon	10.1186/s40748-018-0085-1	en_US
dc.title	Prevalence and correlates of unintended pregnancy in Ghana: Analysis of 2014 Ghana Demographic and Health Survey.	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.location.activity	England	en_US
utslib.for	1110 Nursing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
utslib.copyright.status	open_access
pubs.publication-status	Published online	en_US
pubs.volume	4	en_US

Abstract:

Background: Unintended pregnancies increase levels of stress, adoption of risky behaviours and impact on women's general quality of life. In Ghana, in spite of the paucity of literature on unintended pregnancies, the phenomenon is high especially among women in the early years of their reproductive health. This study therefore sought to investigate the prevalence and correlates of unintended pregnancies in Ghana. Methods: This study made use of data from the 2014 Ghana Demographic and Health Survey. Descriptive statistics were conducted whereby prevalence of unintended pregnancy was presented in proportions. This was followed by binary logistic regression to investigate correlates associated with unintended pregnancy. Results: Descriptively, unintended pregnancies were high among women aged 15-19 years (69.4%), unmarried women (45.1%) and non-working women (40.0%). Factors found to be associated with the phenomenon were age, parity and level of education. The binary logistic regression revealed that women in middle wealth category were 1.42 times more probable of having unintended pregnancy than poor women whilst rich women were less likely to experience unintended pregnancy [OR = 0.89, CI = 0.35-0.79] as compared to poor women. Again, urban women were more likely to experience unintended pregnancies as compared rural women [OR = 1.39, CI = 0.86-1.95]. Conclusion: The study has indicated that specific interventions must be targeted at different categories of women. The Reproductive and Child Health unit of the Ghana Health Service ought to collaborate with non-governmental organisations to intensify access to well-tailored family planning services among adolescents and young women, women out of marriage and the non-working category.

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http://hdl.handle.net/10453/127528