Equity and geography: the case of child mortality in Papua New Guinea
Recent assessments show continued decline in child mortality in Papua New Guinea (PNG), yet complete subnational analyses remain rare. This study aims to estimate under-five mortality in PNG at national and subnational levels to examine the importance of geographical inequities in health outcomes an...
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description | Recent assessments show continued decline in child mortality in Papua New Guinea (PNG), yet complete subnational analyses remain rare. This study aims to estimate under-five mortality in PNG at national and subnational levels to examine the importance of geographical inequities in health outcomes and track progress towards Millennium Development Goal (MDG) 4.
We performed retrospective data validation of the Demographic and Health Survey (DHS) 2006 using 2000 Census data, then applied advanced indirect methods to estimate under-five mortality rates between 1976 and 2000.
The DHS 2006 was found to be unreliable. Hence we used the 2000 Census to estimate under-five mortality rates at national and subnational levels. During the period under study, PNG experienced a slow reduction in national under-five mortality from approximately 103 to 78 deaths per 1,000 live births. Subnational analyses revealed significant disparities between rural and urban populations as well as inter- and intra-regional variations. Some of the provinces that performed the best (worst) in terms of under-five mortality included the districts that performed worst (best), with district-level under-five mortality rates correlating strongly with poverty levels and access to services.
The evidence from PNG demonstrates substantial within-province heterogeneity, suggesting that under-five mortality needs to be addressed at subnational levels. This is especially relevant in countries, like PNG, where responsibility for health services is devolved to provinces and districts. This study presents the first comprehensive estimates of under-five mortality at the district level for PNG. The results demonstrate that for countries that rely on few data sources even greater importance must be given to the quality of future population surveys and to the exploration of alternative options of birth and death surveillance. |
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We performed retrospective data validation of the Demographic and Health Survey (DHS) 2006 using 2000 Census data, then applied advanced indirect methods to estimate under-five mortality rates between 1976 and 2000.
The DHS 2006 was found to be unreliable. Hence we used the 2000 Census to estimate under-five mortality rates at national and subnational levels. During the period under study, PNG experienced a slow reduction in national under-five mortality from approximately 103 to 78 deaths per 1,000 live births. Subnational analyses revealed significant disparities between rural and urban populations as well as inter- and intra-regional variations. Some of the provinces that performed the best (worst) in terms of under-five mortality included the districts that performed worst (best), with district-level under-five mortality rates correlating strongly with poverty levels and access to services.
The evidence from PNG demonstrates substantial within-province heterogeneity, suggesting that under-five mortality needs to be addressed at subnational levels. This is especially relevant in countries, like PNG, where responsibility for health services is devolved to provinces and districts. This study presents the first comprehensive estimates of under-five mortality at the district level for PNG. The results demonstrate that for countries that rely on few data sources even greater importance must be given to the quality of future population surveys and to the exploration of alternative options of birth and death surveillance.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0037861</identifier><identifier>PMID: 22662238</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Births ; Census ; Censuses ; Child ; Child mortality ; Child Mortality - history ; Child Mortality - trends ; Child, Preschool ; Children & youth ; Childrens health ; Datasets ; Demographics ; Demography ; Developing countries ; Economic development ; Estimates ; Geography ; Health ; Health disparities ; Health Surveys ; History, 20th Century ; History, 21st Century ; Humans ; Infant ; Infant Mortality - history ; Infant Mortality - trends ; Infant, Newborn ; LDCs ; Low income groups ; Mathematics ; Medicine ; Mortality ; Papua New Guinea - epidemiology ; Polls & surveys ; Population ; Population Surveillance ; Poverty ; Reproducibility of Results ; Retrospective Studies ; Rural areas ; Rural Population ; Rural populations ; Social and Behavioral Sciences ; Social sciences ; Studies ; Surveys ; Trends ; Urban Population ; Urban populations</subject><ispartof>PloS one, 2012-05, Vol.7 (5), p.e37861-e37861</ispartof><rights>COPYRIGHT 2012 Public Library of Science</rights><rights>2012 Bauze et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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>Bauze et al. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-eb394f455821b885d6991f154f82eaa4b12c22e3829cbfc0b49826460aeed9483</citedby><cites>FETCH-LOGICAL-c692t-eb394f455821b885d6991f154f82eaa4b12c22e3829cbfc0b49826460aeed9483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360603/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360603/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22662238$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kazembe, Lawrence</contributor><creatorcontrib>Bauze, Anna E</creatorcontrib><creatorcontrib>Tran, Linda N</creatorcontrib><creatorcontrib>Nguyen, Kim-Huong</creatorcontrib><creatorcontrib>Firth, Sonja</creatorcontrib><creatorcontrib>Jimenez-Soto, Eliana</creatorcontrib><creatorcontrib>Dwyer-Lindgren, Laura</creatorcontrib><creatorcontrib>Hodge, Andrew</creatorcontrib><creatorcontrib>Lopez, Alan D</creatorcontrib><title>Equity and geography: the case of child mortality in Papua New Guinea</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Recent assessments show continued decline in child mortality in Papua New Guinea (PNG), yet complete subnational analyses remain rare. This study aims to estimate under-five mortality in PNG at national and subnational levels to examine the importance of geographical inequities in health outcomes and track progress towards Millennium Development Goal (MDG) 4.
We performed retrospective data validation of the Demographic and Health Survey (DHS) 2006 using 2000 Census data, then applied advanced indirect methods to estimate under-five mortality rates between 1976 and 2000.
The DHS 2006 was found to be unreliable. Hence we used the 2000 Census to estimate under-five mortality rates at national and subnational levels. During the period under study, PNG experienced a slow reduction in national under-five mortality from approximately 103 to 78 deaths per 1,000 live births. Subnational analyses revealed significant disparities between rural and urban populations as well as inter- and intra-regional variations. Some of the provinces that performed the best (worst) in terms of under-five mortality included the districts that performed worst (best), with district-level under-five mortality rates correlating strongly with poverty levels and access to services.
The evidence from PNG demonstrates substantial within-province heterogeneity, suggesting that under-five mortality needs to be addressed at subnational levels. This is especially relevant in countries, like PNG, where responsibility for health services is devolved to provinces and districts. This study presents the first comprehensive estimates of under-five mortality at the district level for PNG. The results demonstrate that for countries that rely on few data sources even greater importance must be given to the quality of future population surveys and to the exploration of alternative options of birth and death surveillance.</description><subject>Analysis</subject><subject>Births</subject><subject>Census</subject><subject>Censuses</subject><subject>Child</subject><subject>Child mortality</subject><subject>Child Mortality - history</subject><subject>Child Mortality - trends</subject><subject>Child, Preschool</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Datasets</subject><subject>Demographics</subject><subject>Demography</subject><subject>Developing countries</subject><subject>Economic development</subject><subject>Estimates</subject><subject>Geography</subject><subject>Health</subject><subject>Health disparities</subject><subject>Health Surveys</subject><subject>History, 20th Century</subject><subject>History, 21st Century</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant Mortality - 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history</topic><topic>Child Mortality - trends</topic><topic>Child, Preschool</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Datasets</topic><topic>Demographics</topic><topic>Demography</topic><topic>Developing countries</topic><topic>Economic development</topic><topic>Estimates</topic><topic>Geography</topic><topic>Health</topic><topic>Health disparities</topic><topic>Health Surveys</topic><topic>History, 20th Century</topic><topic>History, 21st Century</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant Mortality - history</topic><topic>Infant Mortality - trends</topic><topic>Infant, Newborn</topic><topic>LDCs</topic><topic>Low income groups</topic><topic>Mathematics</topic><topic>Medicine</topic><topic>Mortality</topic><topic>Papua New Guinea - epidemiology</topic><topic>Polls & surveys</topic><topic>Population</topic><topic>Population Surveillance</topic><topic>Poverty</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Rural areas</topic><topic>Rural Population</topic><topic>Rural populations</topic><topic>Social and Behavioral Sciences</topic><topic>Social sciences</topic><topic>Studies</topic><topic>Surveys</topic><topic>Trends</topic><topic>Urban Population</topic><topic>Urban populations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bauze, Anna E</creatorcontrib><creatorcontrib>Tran, Linda N</creatorcontrib><creatorcontrib>Nguyen, Kim-Huong</creatorcontrib><creatorcontrib>Firth, Sonja</creatorcontrib><creatorcontrib>Jimenez-Soto, Eliana</creatorcontrib><creatorcontrib>Dwyer-Lindgren, Laura</creatorcontrib><creatorcontrib>Hodge, Andrew</creatorcontrib><creatorcontrib>Lopez, Alan D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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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>Bauze, Anna E</au><au>Tran, Linda N</au><au>Nguyen, Kim-Huong</au><au>Firth, Sonja</au><au>Jimenez-Soto, Eliana</au><au>Dwyer-Lindgren, Laura</au><au>Hodge, Andrew</au><au>Lopez, Alan D</au><au>Kazembe, Lawrence</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Equity and geography: the case of child mortality in Papua New Guinea</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2012-05-25</date><risdate>2012</risdate><volume>7</volume><issue>5</issue><spage>e37861</spage><epage>e37861</epage><pages>e37861-e37861</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Recent assessments show continued decline in child mortality in Papua New Guinea (PNG), yet complete subnational analyses remain rare. This study aims to estimate under-five mortality in PNG at national and subnational levels to examine the importance of geographical inequities in health outcomes and track progress towards Millennium Development Goal (MDG) 4.
We performed retrospective data validation of the Demographic and Health Survey (DHS) 2006 using 2000 Census data, then applied advanced indirect methods to estimate under-five mortality rates between 1976 and 2000.
The DHS 2006 was found to be unreliable. Hence we used the 2000 Census to estimate under-five mortality rates at national and subnational levels. During the period under study, PNG experienced a slow reduction in national under-five mortality from approximately 103 to 78 deaths per 1,000 live births. Subnational analyses revealed significant disparities between rural and urban populations as well as inter- and intra-regional variations. Some of the provinces that performed the best (worst) in terms of under-five mortality included the districts that performed worst (best), with district-level under-five mortality rates correlating strongly with poverty levels and access to services.
The evidence from PNG demonstrates substantial within-province heterogeneity, suggesting that under-five mortality needs to be addressed at subnational levels. This is especially relevant in countries, like PNG, where responsibility for health services is devolved to provinces and districts. This study presents the first comprehensive estimates of under-five mortality at the district level for PNG. The results demonstrate that for countries that rely on few data sources even greater importance must be given to the quality of future population surveys and to the exploration of alternative options of birth and death surveillance.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>22662238</pmid><doi>10.1371/journal.pone.0037861</doi><tpages>e37861</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Analysis Births Census Censuses Child Child mortality Child Mortality - history Child Mortality - trends Child, Preschool Children & youth Childrens health Datasets Demographics Demography Developing countries Economic development Estimates Geography Health Health disparities Health Surveys History, 20th Century History, 21st Century Humans Infant Infant Mortality - history Infant Mortality - trends Infant, Newborn LDCs Low income groups Mathematics Medicine Mortality Papua New Guinea - epidemiology Polls & surveys Population Population Surveillance Poverty Reproducibility of Results Retrospective Studies Rural areas Rural Population Rural populations Social and Behavioral Sciences Social sciences Studies Surveys Trends Urban Population Urban populations |
title | Equity and geography: the case of child mortality in Papua New Guinea |
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