Socio‐economic inequality in maternal health care utilization in Sub‐Saharan Africa: Evidence from Togo
Introduction Despite improvements in health care in Togo, the maternal mortality rate remains high, and regional antenatal care and facility‐based deliveries are limited. The aim of this study is to measure socioe‐conomic inequality in maternal health care (MHC) utilization during pregnancy and deli...
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description | Introduction
Despite improvements in health care in Togo, the maternal mortality rate remains high, and regional antenatal care and facility‐based deliveries are limited. The aim of this study is to measure socioe‐conomic inequality in maternal health care (MHC) utilization during pregnancy and delivery.
Method
The data were obtained from the last two rounds of the 1998 and 2013 Togo Demographic and Health Survey. Concentration index, concentration curve and logistic regression were used to measure and examine socio‐economic inequality in antenatal care and facility‐based deliveries.
Results
The concentration indices for antenatal visits and facility‐based deliveries were 0.142 and 0.246 in 1998 and 0.129 and 0.159 in 2013, indicating inequality bias towards the rich in both. Household wealth status and women's education were the most significant contributors to inequality in antenatal visits and facility‐based deliveries. In 2013, household economic status contributed approximately 75.66% of the inequality in facility‐based deliveries, while mothers' education significantly contributed approximately 18.22% to the inequality in antennal visits. Additionally, universal health coverage should be considered as one of the main vehicles for reducing inequalities in the use of MHCs.
Conclusion
The results suggest that inequality in MHC utilization during pregnancy and delivery may be effectively reduced by improving the relevant strategies, in particular, those targeted at reducing poverty and illiteracy. School curricula need to be comprehensively addressed for ensuring essential sexual and reproductive education. Our results suggest that the use of MHC can be increased by broadening health insurance to include exemptions for poor and rural households. |
doi_str_mv | 10.1002/hpm.3083 |
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Despite improvements in health care in Togo, the maternal mortality rate remains high, and regional antenatal care and facility‐based deliveries are limited. The aim of this study is to measure socioe‐conomic inequality in maternal health care (MHC) utilization during pregnancy and delivery.
Method
The data were obtained from the last two rounds of the 1998 and 2013 Togo Demographic and Health Survey. Concentration index, concentration curve and logistic regression were used to measure and examine socio‐economic inequality in antenatal care and facility‐based deliveries.
Results
The concentration indices for antenatal visits and facility‐based deliveries were 0.142 and 0.246 in 1998 and 0.129 and 0.159 in 2013, indicating inequality bias towards the rich in both. Household wealth status and women's education were the most significant contributors to inequality in antenatal visits and facility‐based deliveries. In 2013, household economic status contributed approximately 75.66% of the inequality in facility‐based deliveries, while mothers' education significantly contributed approximately 18.22% to the inequality in antennal visits. Additionally, universal health coverage should be considered as one of the main vehicles for reducing inequalities in the use of MHCs.
Conclusion
The results suggest that inequality in MHC utilization during pregnancy and delivery may be effectively reduced by improving the relevant strategies, in particular, those targeted at reducing poverty and illiteracy. School curricula need to be comprehensively addressed for ensuring essential sexual and reproductive education. Our results suggest that the use of MHC can be increased by broadening health insurance to include exemptions for poor and rural households.</description><identifier>ISSN: 0749-6753</identifier><identifier>EISSN: 1099-1751</identifier><identifier>DOI: 10.1002/hpm.3083</identifier><identifier>PMID: 33000498</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>antenatal care ; Bias ; Concentration ; concentration index ; Curricula ; Economic inequality ; Economic status ; Economics ; Education ; facility‐based deliveries ; Health administration ; Health care ; Health disparities ; Health insurance ; Health services utilization ; Health status ; Health surveys ; Households ; Illiteracy ; Inequality ; Maternal & child health ; Maternal characteristics ; maternal health care ; Maternal mortality ; Mortality rates ; Mothers ; mothers' education ; Poverty ; Pregnancy ; Prenatal care ; Socioeconomics ; Utilization ; Visits ; Wealth ; Women ; Women's education</subject><ispartof>The International journal of health planning and management, 2021-03, Vol.36 (2), p.288-301</ispartof><rights>2020 John Wiley & Sons Ltd.</rights><rights>2021 John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3493-aa950d3696f98e60fa22bcab2cb7732d8e9eae056e568d0dedf0aa0411e1b22b3</citedby><cites>FETCH-LOGICAL-c3493-aa950d3696f98e60fa22bcab2cb7732d8e9eae056e568d0dedf0aa0411e1b22b3</cites><orcidid>0000-0003-4633-4615</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhpm.3083$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhpm.3083$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,30976,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33000498$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Atake, Esso–Hanam</creatorcontrib><title>Socio‐economic inequality in maternal health care utilization in Sub‐Saharan Africa: Evidence from Togo</title><title>The International journal of health planning and management</title><addtitle>Int J Health Plann Manage</addtitle><description>Introduction
Despite improvements in health care in Togo, the maternal mortality rate remains high, and regional antenatal care and facility‐based deliveries are limited. The aim of this study is to measure socioe‐conomic inequality in maternal health care (MHC) utilization during pregnancy and delivery.
Method
The data were obtained from the last two rounds of the 1998 and 2013 Togo Demographic and Health Survey. Concentration index, concentration curve and logistic regression were used to measure and examine socio‐economic inequality in antenatal care and facility‐based deliveries.
Results
The concentration indices for antenatal visits and facility‐based deliveries were 0.142 and 0.246 in 1998 and 0.129 and 0.159 in 2013, indicating inequality bias towards the rich in both. Household wealth status and women's education were the most significant contributors to inequality in antenatal visits and facility‐based deliveries. In 2013, household economic status contributed approximately 75.66% of the inequality in facility‐based deliveries, while mothers' education significantly contributed approximately 18.22% to the inequality in antennal visits. Additionally, universal health coverage should be considered as one of the main vehicles for reducing inequalities in the use of MHCs.
Conclusion
The results suggest that inequality in MHC utilization during pregnancy and delivery may be effectively reduced by improving the relevant strategies, in particular, those targeted at reducing poverty and illiteracy. School curricula need to be comprehensively addressed for ensuring essential sexual and reproductive education. Our results suggest that the use of MHC can be increased by broadening health insurance to include exemptions for poor and rural households.</description><subject>antenatal care</subject><subject>Bias</subject><subject>Concentration</subject><subject>concentration index</subject><subject>Curricula</subject><subject>Economic inequality</subject><subject>Economic status</subject><subject>Economics</subject><subject>Education</subject><subject>facility‐based deliveries</subject><subject>Health administration</subject><subject>Health care</subject><subject>Health disparities</subject><subject>Health insurance</subject><subject>Health services utilization</subject><subject>Health status</subject><subject>Health surveys</subject><subject>Households</subject><subject>Illiteracy</subject><subject>Inequality</subject><subject>Maternal & child health</subject><subject>Maternal characteristics</subject><subject>maternal health care</subject><subject>Maternal mortality</subject><subject>Mortality rates</subject><subject>Mothers</subject><subject>mothers' education</subject><subject>Poverty</subject><subject>Pregnancy</subject><subject>Prenatal care</subject><subject>Socioeconomics</subject><subject>Utilization</subject><subject>Visits</subject><subject>Wealth</subject><subject>Women</subject><subject>Women's education</subject><issn>0749-6753</issn><issn>1099-1751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp10ctKxDAUgOEgio6j4BNIwI2batL0Fnci3mBEYcZ1OU1PbbRtxrRVxpWP4DP6JKaOFxBc5UA-fkgOITucHXDG_MNyXh8IlogVMuJMSo_HIV8lIxYH0oviUGyQzba9Z8zdcblONoRwcyCTEXmYGqXN--sbKtOYWiuqG3zsodLdwo20hg5tAxUtEaqupAos0r7TlX6BTptmMNM-c4EplGChoceF1QqO6OmTzrFRSAtrajozd2aLrBVQtbj9dY7J7dnp7OTCm1yfX54cTzwlAik8ABmyXEQyKmSCESvA9zMFma-yOBZ-nqBEQBZGGEZJznLMCwbAAs6RZ46KMdlfdufWPPbYdmmtW4VVBQ2avk39IIgTEYV-5OjeH3pv-uG9ToVMOilk8htU1rStxSKdW12DXaScpcMCUreAdFiAo7tfwT6rMf-B3z_ugLcEz7rCxb-h9OLm6jP4AVBukXQ</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Atake, Esso–Hanam</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4633-4615</orcidid></search><sort><creationdate>202103</creationdate><title>Socio‐economic inequality in maternal health care utilization in Sub‐Saharan Africa: Evidence from Togo</title><author>Atake, Esso–Hanam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3493-aa950d3696f98e60fa22bcab2cb7732d8e9eae056e568d0dedf0aa0411e1b22b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>antenatal care</topic><topic>Bias</topic><topic>Concentration</topic><topic>concentration index</topic><topic>Curricula</topic><topic>Economic inequality</topic><topic>Economic status</topic><topic>Economics</topic><topic>Education</topic><topic>facility‐based deliveries</topic><topic>Health administration</topic><topic>Health care</topic><topic>Health disparities</topic><topic>Health insurance</topic><topic>Health services utilization</topic><topic>Health status</topic><topic>Health surveys</topic><topic>Households</topic><topic>Illiteracy</topic><topic>Inequality</topic><topic>Maternal & child health</topic><topic>Maternal characteristics</topic><topic>maternal health care</topic><topic>Maternal mortality</topic><topic>Mortality rates</topic><topic>Mothers</topic><topic>mothers' education</topic><topic>Poverty</topic><topic>Pregnancy</topic><topic>Prenatal care</topic><topic>Socioeconomics</topic><topic>Utilization</topic><topic>Visits</topic><topic>Wealth</topic><topic>Women</topic><topic>Women's education</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Atake, Esso–Hanam</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>The International journal of health planning and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Atake, Esso–Hanam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socio‐economic inequality in maternal health care utilization in Sub‐Saharan Africa: Evidence from Togo</atitle><jtitle>The International journal of health planning and management</jtitle><addtitle>Int J Health Plann Manage</addtitle><date>2021-03</date><risdate>2021</risdate><volume>36</volume><issue>2</issue><spage>288</spage><epage>301</epage><pages>288-301</pages><issn>0749-6753</issn><eissn>1099-1751</eissn><abstract>Introduction
Despite improvements in health care in Togo, the maternal mortality rate remains high, and regional antenatal care and facility‐based deliveries are limited. The aim of this study is to measure socioe‐conomic inequality in maternal health care (MHC) utilization during pregnancy and delivery.
Method
The data were obtained from the last two rounds of the 1998 and 2013 Togo Demographic and Health Survey. Concentration index, concentration curve and logistic regression were used to measure and examine socio‐economic inequality in antenatal care and facility‐based deliveries.
Results
The concentration indices for antenatal visits and facility‐based deliveries were 0.142 and 0.246 in 1998 and 0.129 and 0.159 in 2013, indicating inequality bias towards the rich in both. Household wealth status and women's education were the most significant contributors to inequality in antenatal visits and facility‐based deliveries. In 2013, household economic status contributed approximately 75.66% of the inequality in facility‐based deliveries, while mothers' education significantly contributed approximately 18.22% to the inequality in antennal visits. Additionally, universal health coverage should be considered as one of the main vehicles for reducing inequalities in the use of MHCs.
Conclusion
The results suggest that inequality in MHC utilization during pregnancy and delivery may be effectively reduced by improving the relevant strategies, in particular, those targeted at reducing poverty and illiteracy. School curricula need to be comprehensively addressed for ensuring essential sexual and reproductive education. Our results suggest that the use of MHC can be increased by broadening health insurance to include exemptions for poor and rural households.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>33000498</pmid><doi>10.1002/hpm.3083</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-4633-4615</orcidid></addata></record> |
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subjects | antenatal care Bias Concentration concentration index Curricula Economic inequality Economic status Economics Education facility‐based deliveries Health administration Health care Health disparities Health insurance Health services utilization Health status Health surveys Households Illiteracy Inequality Maternal & child health Maternal characteristics maternal health care Maternal mortality Mortality rates Mothers mothers' education Poverty Pregnancy Prenatal care Socioeconomics Utilization Visits Wealth Women Women's education |
title | Socio‐economic inequality in maternal health care utilization in Sub‐Saharan Africa: Evidence from Togo |
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