Perinatal Mortality Magnitude, Determinants and Causes in West Gojam: Population-Based Nested Case-Control Study
In Ethiopia, even if a significant reduction in child mortality is recorded recently, perinatal mortality rate is still very high. This study assessed the magnitude, determinants and causes of perinatal death in West Gojam zone, Ethiopia. A nested case control study was conducted on 102 cases (mothe...
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description | In Ethiopia, even if a significant reduction in child mortality is recorded recently, perinatal mortality rate is still very high. This study assessed the magnitude, determinants and causes of perinatal death in West Gojam zone, Ethiopia.
A nested case control study was conducted on 102 cases (mothers who lost their newborns for perinatal death) and 204 controls (mothers who had live infants in the same year) among a cohort of 4097 pregnant mothers in three districts of the West Gojam zone, from Feb 2011 to Mar 2012. Logistic regression models were used to identify the independent determinant factors for perinatal mortality. The World Health Organization verbal autopsy instrument for neonatal death was used to collect mortality data and cause of death was assigned by a pediatrician and a neonatologist.
Perinatal mortality rate was 25.1(95% CI 20.3, 29.9) per 1000 live and stillbirths. Primiparous mothers had a higher risk of losing their newborn babies for perinatal death than mothers who gave birth to five or more children (AOR = 3.15, 95% CI 1.03-9.60). Babies who were born to women who had a previous history of losing their baby to perinatal death during their last pregnancy showed higher odds of perinatal death than their counterparts (AOR = 9.55, 95% CI 4.67-19.54). Preterm newborns were more at risk for perinatal death (AOR = 9.44, 95%CI 1.81-49.22) than term babies. Newborns who were born among a household of more than two had a lesser risk of dying during the perinatal period as compared to those who were born among a member of only two. Paradoxically, home delivery was found to protect against perinatal death (AOR = 0.07 95% CI, 0.02-0.24) in comparison to institutional delivery. Bacterial sepsis, birth asphyxia and obstructed labour were among the leading causes of perinatal death.
Perinatal mortality rate remains considerably high, but proper maternal and child health care services can significantly decrease the burden. |
doi_str_mv | 10.1371/journal.pone.0159390 |
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A nested case control study was conducted on 102 cases (mothers who lost their newborns for perinatal death) and 204 controls (mothers who had live infants in the same year) among a cohort of 4097 pregnant mothers in three districts of the West Gojam zone, from Feb 2011 to Mar 2012. Logistic regression models were used to identify the independent determinant factors for perinatal mortality. The World Health Organization verbal autopsy instrument for neonatal death was used to collect mortality data and cause of death was assigned by a pediatrician and a neonatologist.
Perinatal mortality rate was 25.1(95% CI 20.3, 29.9) per 1000 live and stillbirths. Primiparous mothers had a higher risk of losing their newborn babies for perinatal death than mothers who gave birth to five or more children (AOR = 3.15, 95% CI 1.03-9.60). Babies who were born to women who had a previous history of losing their baby to perinatal death during their last pregnancy showed higher odds of perinatal death than their counterparts (AOR = 9.55, 95% CI 4.67-19.54). Preterm newborns were more at risk for perinatal death (AOR = 9.44, 95%CI 1.81-49.22) than term babies. Newborns who were born among a household of more than two had a lesser risk of dying during the perinatal period as compared to those who were born among a member of only two. Paradoxically, home delivery was found to protect against perinatal death (AOR = 0.07 95% CI, 0.02-0.24) in comparison to institutional delivery. Bacterial sepsis, birth asphyxia and obstructed labour were among the leading causes of perinatal death.
Perinatal mortality rate remains considerably high, but proper maternal and child health care services can significantly decrease the burden.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0159390</identifier><identifier>PMID: 27467696</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abortion ; Adolescent ; Adult ; Analysis ; Asphyxia ; Autopsies ; Autopsy ; Babies ; Bacteria ; Biology and Life Sciences ; Birth ; Case-Control Studies ; Child health services ; Children ; Death ; Determinants ; Developing countries ; Epidemiology ; Ethiopia ; Female ; Gynecology ; Health aspects ; Health care ; Health sciences ; Health services ; Hospitals ; Humans ; Infant mortality ; Infant, Newborn ; Infants ; LDCs ; Management ; Medicine and Health Sciences ; Mortality ; Mothers ; Neonates ; Newborn babies ; Obstetrics ; People and Places ; Perinatal Mortality ; Population ; Population studies ; Population-based studies ; Pregnancy ; Pregnant women ; Premature birth ; Public health ; Regression analysis ; Regression models ; Reproductive health ; Risk ; Sepsis ; Variables ; Young Adult</subject><ispartof>PloS one, 2016-07, Vol.11 (7), p.e0159390-e0159390</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-90a50e191d612b0773bcff76b183a82d1188b3cefd0a8f0466b3b002b03524633</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965173/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965173/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2932,23875,27933,27934,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27467696$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Simeoni, Umberto</contributor><creatorcontrib>Yirgu, Robel</creatorcontrib><creatorcontrib>Molla, Mitike</creatorcontrib><creatorcontrib>Sibley, Lynn</creatorcontrib><creatorcontrib>Gebremariam, Abebe</creatorcontrib><title>Perinatal Mortality Magnitude, Determinants and Causes in West Gojam: Population-Based Nested Case-Control Study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>In Ethiopia, even if a significant reduction in child mortality is recorded recently, perinatal mortality rate is still very high. This study assessed the magnitude, determinants and causes of perinatal death in West Gojam zone, Ethiopia.
A nested case control study was conducted on 102 cases (mothers who lost their newborns for perinatal death) and 204 controls (mothers who had live infants in the same year) among a cohort of 4097 pregnant mothers in three districts of the West Gojam zone, from Feb 2011 to Mar 2012. Logistic regression models were used to identify the independent determinant factors for perinatal mortality. The World Health Organization verbal autopsy instrument for neonatal death was used to collect mortality data and cause of death was assigned by a pediatrician and a neonatologist.
Perinatal mortality rate was 25.1(95% CI 20.3, 29.9) per 1000 live and stillbirths. Primiparous mothers had a higher risk of losing their newborn babies for perinatal death than mothers who gave birth to five or more children (AOR = 3.15, 95% CI 1.03-9.60). Babies who were born to women who had a previous history of losing their baby to perinatal death during their last pregnancy showed higher odds of perinatal death than their counterparts (AOR = 9.55, 95% CI 4.67-19.54). Preterm newborns were more at risk for perinatal death (AOR = 9.44, 95%CI 1.81-49.22) than term babies. Newborns who were born among a household of more than two had a lesser risk of dying during the perinatal period as compared to those who were born among a member of only two. Paradoxically, home delivery was found to protect against perinatal death (AOR = 0.07 95% CI, 0.02-0.24) in comparison to institutional delivery. Bacterial sepsis, birth asphyxia and obstructed labour were among the leading causes of perinatal death.
Perinatal mortality rate remains considerably high, but proper maternal and child health care services can significantly decrease the burden.</description><subject>Abortion</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Analysis</subject><subject>Asphyxia</subject><subject>Autopsies</subject><subject>Autopsy</subject><subject>Babies</subject><subject>Bacteria</subject><subject>Biology and Life Sciences</subject><subject>Birth</subject><subject>Case-Control Studies</subject><subject>Child health services</subject><subject>Children</subject><subject>Death</subject><subject>Determinants</subject><subject>Developing countries</subject><subject>Epidemiology</subject><subject>Ethiopia</subject><subject>Female</subject><subject>Gynecology</subject><subject>Health aspects</subject><subject>Health care</subject><subject>Health sciences</subject><subject>Health services</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infant mortality</subject><subject>Infant, Newborn</subject><subject>Infants</subject><subject>LDCs</subject><subject>Management</subject><subject>Medicine and Health Sciences</subject><subject>Mortality</subject><subject>Mothers</subject><subject>Neonates</subject><subject>Newborn babies</subject><subject>Obstetrics</subject><subject>People and Places</subject><subject>Perinatal Mortality</subject><subject>Population</subject><subject>Population studies</subject><subject>Population-based studies</subject><subject>Pregnancy</subject><subject>Pregnant women</subject><subject>Premature birth</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Reproductive health</subject><subject>Risk</subject><subject>Sepsis</subject><subject>Variables</subject><subject>Young 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Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yirgu, Robel</au><au>Molla, Mitike</au><au>Sibley, Lynn</au><au>Gebremariam, Abebe</au><au>Simeoni, Umberto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Perinatal Mortality Magnitude, Determinants and Causes in West Gojam: Population-Based Nested Case-Control Study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-07-28</date><risdate>2016</risdate><volume>11</volume><issue>7</issue><spage>e0159390</spage><epage>e0159390</epage><pages>e0159390-e0159390</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In Ethiopia, even if a significant reduction in child mortality is recorded recently, perinatal mortality rate is still very high. This study assessed the magnitude, determinants and causes of perinatal death in West Gojam zone, Ethiopia.
A nested case control study was conducted on 102 cases (mothers who lost their newborns for perinatal death) and 204 controls (mothers who had live infants in the same year) among a cohort of 4097 pregnant mothers in three districts of the West Gojam zone, from Feb 2011 to Mar 2012. Logistic regression models were used to identify the independent determinant factors for perinatal mortality. The World Health Organization verbal autopsy instrument for neonatal death was used to collect mortality data and cause of death was assigned by a pediatrician and a neonatologist.
Perinatal mortality rate was 25.1(95% CI 20.3, 29.9) per 1000 live and stillbirths. Primiparous mothers had a higher risk of losing their newborn babies for perinatal death than mothers who gave birth to five or more children (AOR = 3.15, 95% CI 1.03-9.60). Babies who were born to women who had a previous history of losing their baby to perinatal death during their last pregnancy showed higher odds of perinatal death than their counterparts (AOR = 9.55, 95% CI 4.67-19.54). Preterm newborns were more at risk for perinatal death (AOR = 9.44, 95%CI 1.81-49.22) than term babies. Newborns who were born among a household of more than two had a lesser risk of dying during the perinatal period as compared to those who were born among a member of only two. Paradoxically, home delivery was found to protect against perinatal death (AOR = 0.07 95% CI, 0.02-0.24) in comparison to institutional delivery. Bacterial sepsis, birth asphyxia and obstructed labour were among the leading causes of perinatal death.
Perinatal mortality rate remains considerably high, but proper maternal and child health care services can significantly decrease the burden.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27467696</pmid><doi>10.1371/journal.pone.0159390</doi><tpages>e0159390</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Abortion Adolescent Adult Analysis Asphyxia Autopsies Autopsy Babies Bacteria Biology and Life Sciences Birth Case-Control Studies Child health services Children Death Determinants Developing countries Epidemiology Ethiopia Female Gynecology Health aspects Health care Health sciences Health services Hospitals Humans Infant mortality Infant, Newborn Infants LDCs Management Medicine and Health Sciences Mortality Mothers Neonates Newborn babies Obstetrics People and Places Perinatal Mortality Population Population studies Population-based studies Pregnancy Pregnant women Premature birth Public health Regression analysis Regression models Reproductive health Risk Sepsis Variables Young Adult |
title | Perinatal Mortality Magnitude, Determinants and Causes in West Gojam: Population-Based Nested Case-Control Study |
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