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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The International journal of health planning and management 2021-03, Vol.36 (2), p.288-301
1. Verfasser: Atake, Esso–Hanam
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 301
container_issue 2
container_start_page 288
container_title The International journal of health planning and management
container_volume 36
creator Atake, Esso–Hanam
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
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2447836526</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2509244398</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3493-aa950d3696f98e60fa22bcab2cb7732d8e9eae056e568d0dedf0aa0411e1b22b3</originalsourceid><addsrcrecordid>eNp10ctKxDAUgOEgio6j4BNIwI2batL0Fnci3mBEYcZ1OU1PbbRtxrRVxpWP4DP6JKaOFxBc5UA-fkgOITucHXDG_MNyXh8IlogVMuJMSo_HIV8lIxYH0oviUGyQzba9Z8zdcblONoRwcyCTEXmYGqXN--sbKtOYWiuqG3zsodLdwo20hg5tAxUtEaqupAos0r7TlX6BTptmMNM-c4EplGChoceF1QqO6OmTzrFRSAtrajozd2aLrBVQtbj9dY7J7dnp7OTCm1yfX54cTzwlAik8ABmyXEQyKmSCESvA9zMFma-yOBZ-nqBEQBZGGEZJznLMCwbAAs6RZ46KMdlfdufWPPbYdmmtW4VVBQ2avk39IIgTEYV-5OjeH3pv-uG9ToVMOilk8htU1rStxSKdW12DXaScpcMCUreAdFiAo7tfwT6rMf-B3z_ugLcEz7rCxb-h9OLm6jP4AVBukXQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2509244398</pqid></control><display><type>article</type><title>Socio‐economic inequality in maternal health care utilization in Sub‐Saharan Africa: Evidence from Togo</title><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Atake, Esso–Hanam</creator><creatorcontrib>Atake, Esso–Hanam</creatorcontrib><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><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 &amp; 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 &amp; Sons Ltd.</rights><rights>2021 John Wiley &amp; 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 &amp; 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 &amp; 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 &amp; 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>
fulltext fulltext
identifier ISSN: 0749-6753
ispartof The International journal of health planning and management, 2021-03, Vol.36 (2), p.288-301
issn 0749-6753
1099-1751
language eng
recordid cdi_proquest_miscellaneous_2447836526
source Applied Social Sciences Index & Abstracts (ASSIA); Wiley Online Library Journals Frontfile Complete
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T15%3A36%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Socio%E2%80%90economic%20inequality%20in%20maternal%20health%20care%20utilization%20in%20Sub%E2%80%90Saharan%20Africa:%20Evidence%20from%20Togo&rft.jtitle=The%20International%20journal%20of%20health%20planning%20and%20management&rft.au=Atake,%20Esso%E2%80%93Hanam&rft.date=2021-03&rft.volume=36&rft.issue=2&rft.spage=288&rft.epage=301&rft.pages=288-301&rft.issn=0749-6753&rft.eissn=1099-1751&rft_id=info:doi/10.1002/hpm.3083&rft_dat=%3Cproquest_cross%3E2509244398%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2509244398&rft_id=info:pmid/33000498&rfr_iscdi=true