What has reproductive health decision-making capacity got to do with unintended pregnancy? Evidence from the 2014 Ghana Demographic and Health Survey
Women's reproductive health decision-making is indispensable for improving their reproductive health and achieving Sustainable Development Goal three. This study explored the association between reproductive health decision-making capacity and unintended pregnancy among women in Ghana. We used...
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description | Women's reproductive health decision-making is indispensable for improving their reproductive health and achieving Sustainable Development Goal three. This study explored the association between reproductive health decision-making capacity and unintended pregnancy among women in Ghana.
We used data from the 2014 version of the Ghana Demographic and Health Survey. The unit of analysis for this study was pregnant women at the time of the survey (679). Bivariate and multivariable analyses were conducted using Pearson chi-square tests and binary logistic regression respectively.
We found that women who had the capacity to make reproductive health decision [AOR = 0.61; CI = 0.51-0.89] were less likely to experience unintended pregnancies, compared to those who did not have the capacity. Age was found to have a statistically significant influence on unintended pregnancy, with women aged 25-29 years [AOR = 0.29; CI = 0.13-0.63], 30-34 years [AOR = 0.18; CI = 0.08-0.45], and 35-39 years [AOR = 0.26; CI = 0.10-0.68] being less likely to experience unintended pregnancy compared to those aged 15-19 years. Women with primary level of education were more likely to have unintended pregnancies, compared to those with no education [AOR = 2.07; CI = 1.12-3.84].
This study has filled the gap in the already existing literature on the association between reproductive health decision making capacity and unintended pregnancy in Ghana and has created a room for specific interventions geared towards reducing unintended pregnancies, especially among women who are not capable of making reproductive health decisions, women aged 15-19 years, those with primary education, Traditionalists and unmarried women. |
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We used data from the 2014 version of the Ghana Demographic and Health Survey. The unit of analysis for this study was pregnant women at the time of the survey (679). Bivariate and multivariable analyses were conducted using Pearson chi-square tests and binary logistic regression respectively.
We found that women who had the capacity to make reproductive health decision [AOR = 0.61; CI = 0.51-0.89] were less likely to experience unintended pregnancies, compared to those who did not have the capacity. Age was found to have a statistically significant influence on unintended pregnancy, with women aged 25-29 years [AOR = 0.29; CI = 0.13-0.63], 30-34 years [AOR = 0.18; CI = 0.08-0.45], and 35-39 years [AOR = 0.26; CI = 0.10-0.68] being less likely to experience unintended pregnancy compared to those aged 15-19 years. Women with primary level of education were more likely to have unintended pregnancies, compared to those with no education [AOR = 2.07; CI = 1.12-3.84].
This study has filled the gap in the already existing literature on the association between reproductive health decision making capacity and unintended pregnancy in Ghana and has created a room for specific interventions geared towards reducing unintended pregnancies, especially among women who are not capable of making reproductive health decisions, women aged 15-19 years, those with primary education, Traditionalists and unmarried women.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0223389</identifier><identifier>PMID: 31600265</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Analysis ; Biology and Life Sciences ; Bivariate analysis ; Chi-Square Distribution ; Decision Making ; Demographics ; Education ; Female ; Ghana - epidemiology ; Health aspects ; Health Surveys ; Humanities ; Humans ; Logistic Models ; Management ; Medical research ; Medicine and Health Sciences ; Methods ; Middle Aged ; People and Places ; Polls & surveys ; Population ; Pregnancy ; Pregnancy, Unplanned - psychology ; Pregnant women ; Prevalence ; Public health ; Regression analysis ; Reproduction ; Reproductive Health ; Reproductive systems ; Research and Analysis Methods ; Sexual behavior ; Social Sciences ; Statistical analysis ; Statistical tests ; Surveys ; Sustainable development ; Unwanted pregnancy ; Women ; Women's health ; Womens health ; Young Adult ; Young adults</subject><ispartof>PloS one, 2019-10, Vol.14 (10), p.e0223389</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Ahinkorah et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Ahinkorah et al 2019 Ahinkorah et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6079-bebd57d4c784881c01a617bf77a57df685af666e365a54cadb97f2e28e8c8ea43</citedby><cites>FETCH-LOGICAL-c6079-bebd57d4c784881c01a617bf77a57df685af666e365a54cadb97f2e28e8c8ea43</cites><orcidid>0000-0002-8668-4671 ; 0000-0001-9734-9054 ; 0000-0002-6617-237X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786643/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786643/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31600265$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kabir, Russell</contributor><creatorcontrib>Ahinkorah, Bright Opoku</creatorcontrib><creatorcontrib>Seidu, Abdul-Aziz</creatorcontrib><creatorcontrib>Appiah, Francis</creatorcontrib><creatorcontrib>Baatiema, Linus</creatorcontrib><creatorcontrib>Sambah, Francis</creatorcontrib><creatorcontrib>Budu, Eugene</creatorcontrib><creatorcontrib>Ameyaw, Edward Kwabena</creatorcontrib><title>What has reproductive health decision-making capacity got to do with unintended pregnancy? Evidence from the 2014 Ghana Demographic and Health Survey</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Women's reproductive health decision-making is indispensable for improving their reproductive health and achieving Sustainable Development Goal three. This study explored the association between reproductive health decision-making capacity and unintended pregnancy among women in Ghana.
We used data from the 2014 version of the Ghana Demographic and Health Survey. The unit of analysis for this study was pregnant women at the time of the survey (679). Bivariate and multivariable analyses were conducted using Pearson chi-square tests and binary logistic regression respectively.
We found that women who had the capacity to make reproductive health decision [AOR = 0.61; CI = 0.51-0.89] were less likely to experience unintended pregnancies, compared to those who did not have the capacity. Age was found to have a statistically significant influence on unintended pregnancy, with women aged 25-29 years [AOR = 0.29; CI = 0.13-0.63], 30-34 years [AOR = 0.18; CI = 0.08-0.45], and 35-39 years [AOR = 0.26; CI = 0.10-0.68] being less likely to experience unintended pregnancy compared to those aged 15-19 years. Women with primary level of education were more likely to have unintended pregnancies, compared to those with no education [AOR = 2.07; CI = 1.12-3.84].
This study has filled the gap in the already existing literature on the association between reproductive health decision making capacity and unintended pregnancy in Ghana and has created a room for specific interventions geared towards reducing unintended pregnancies, especially among women who are not capable of making reproductive health decisions, women aged 15-19 years, those with primary education, Traditionalists and unmarried women.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Bivariate analysis</subject><subject>Chi-Square Distribution</subject><subject>Decision Making</subject><subject>Demographics</subject><subject>Education</subject><subject>Female</subject><subject>Ghana - epidemiology</subject><subject>Health aspects</subject><subject>Health Surveys</subject><subject>Humanities</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Management</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>People and Places</subject><subject>Polls & surveys</subject><subject>Population</subject><subject>Pregnancy</subject><subject>Pregnancy, Unplanned - 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Evidence from the 2014 Ghana Demographic and Health Survey</title><author>Ahinkorah, Bright Opoku ; Seidu, Abdul-Aziz ; Appiah, Francis ; Baatiema, Linus ; Sambah, Francis ; Budu, Eugene ; Ameyaw, Edward Kwabena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6079-bebd57d4c784881c01a617bf77a57df685af666e365a54cadb97f2e28e8c8ea43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Bivariate analysis</topic><topic>Chi-Square Distribution</topic><topic>Decision Making</topic><topic>Demographics</topic><topic>Education</topic><topic>Female</topic><topic>Ghana - epidemiology</topic><topic>Health aspects</topic><topic>Health Surveys</topic><topic>Humanities</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Management</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>People and Places</topic><topic>Polls & surveys</topic><topic>Population</topic><topic>Pregnancy</topic><topic>Pregnancy, Unplanned - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahinkorah, Bright Opoku</au><au>Seidu, Abdul-Aziz</au><au>Appiah, Francis</au><au>Baatiema, Linus</au><au>Sambah, Francis</au><au>Budu, Eugene</au><au>Ameyaw, Edward Kwabena</au><au>Kabir, Russell</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>What has reproductive health decision-making capacity got to do with unintended pregnancy? Evidence from the 2014 Ghana Demographic and Health Survey</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-10-10</date><risdate>2019</risdate><volume>14</volume><issue>10</issue><spage>e0223389</spage><pages>e0223389-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Women's reproductive health decision-making is indispensable for improving their reproductive health and achieving Sustainable Development Goal three. This study explored the association between reproductive health decision-making capacity and unintended pregnancy among women in Ghana.
We used data from the 2014 version of the Ghana Demographic and Health Survey. The unit of analysis for this study was pregnant women at the time of the survey (679). Bivariate and multivariable analyses were conducted using Pearson chi-square tests and binary logistic regression respectively.
We found that women who had the capacity to make reproductive health decision [AOR = 0.61; CI = 0.51-0.89] were less likely to experience unintended pregnancies, compared to those who did not have the capacity. Age was found to have a statistically significant influence on unintended pregnancy, with women aged 25-29 years [AOR = 0.29; CI = 0.13-0.63], 30-34 years [AOR = 0.18; CI = 0.08-0.45], and 35-39 years [AOR = 0.26; CI = 0.10-0.68] being less likely to experience unintended pregnancy compared to those aged 15-19 years. Women with primary level of education were more likely to have unintended pregnancies, compared to those with no education [AOR = 2.07; CI = 1.12-3.84].
This study has filled the gap in the already existing literature on the association between reproductive health decision making capacity and unintended pregnancy in Ghana and has created a room for specific interventions geared towards reducing unintended pregnancies, especially among women who are not capable of making reproductive health decisions, women aged 15-19 years, those with primary education, Traditionalists and unmarried women.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31600265</pmid><doi>10.1371/journal.pone.0223389</doi><tpages>e0223389</tpages><orcidid>https://orcid.org/0000-0002-8668-4671</orcidid><orcidid>https://orcid.org/0000-0001-9734-9054</orcidid><orcidid>https://orcid.org/0000-0002-6617-237X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Analysis Biology and Life Sciences Bivariate analysis Chi-Square Distribution Decision Making Demographics Education Female Ghana - epidemiology Health aspects Health Surveys Humanities Humans Logistic Models Management Medical research Medicine and Health Sciences Methods Middle Aged People and Places Polls & surveys Population Pregnancy Pregnancy, Unplanned - psychology Pregnant women Prevalence Public health Regression analysis Reproduction Reproductive Health Reproductive systems Research and Analysis Methods Sexual behavior Social Sciences Statistical analysis Statistical tests Surveys Sustainable development Unwanted pregnancy Women Women's health Womens health Young Adult Young adults |
title | What has reproductive health decision-making capacity got to do with unintended pregnancy? Evidence from the 2014 Ghana Demographic and Health Survey |
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