Incidence and predictors of mortality among road traffic accident victims admitted to hospitals at Hawassa city, Ethiopia
Globally, road traffic accidents are the eighth-leading cause of death for all age groups. The estimated number of road traffic deaths in low income countries was more than three times as high as in high-income countries. Africa had the highest rate of fatalities attributed to road traffic accidents...
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| description | Globally, road traffic accidents are the eighth-leading cause of death for all age groups. The estimated number of road traffic deaths in low income countries was more than three times as high as in high-income countries. Africa had the highest rate of fatalities attributed to road traffic accidents. Ethiopia has the highest number of road traffic fatalities among Sub-Saharan African countries. The main objective of this study was to determine the incidence and predictors of mortality among road traffic victims admitted to hospitals in Hawassa City.
A facility-based retrospective cohort study was conducted using secondary data from hospital records. A total of 398 road traffic accident victims admitted to selected hospitals in Hawassa city from January 2019 to December 2021 participated in the study. Data were analyzed using STATA version 14.1. The Cox regression model was used to determine the predictors of mortality. A hazard ratio with a 95% confidence interval and a cut-off value of P |
| doi_str_mv | 10.1371/journal.pone.0296946 |
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A facility-based retrospective cohort study was conducted using secondary data from hospital records. A total of 398 road traffic accident victims admitted to selected hospitals in Hawassa city from January 2019 to December 2021 participated in the study. Data were analyzed using STATA version 14.1. The Cox regression model was used to determine the predictors of mortality. A hazard ratio with a 95% confidence interval and a cut-off value of P<0.05 was used to declare the risk and statistical significance, respectively.
The incidence rate of mortality for road traffic accident victims was 7.34 per 10,000 person-hours. The predictors of mortality were the value of GCS at admission <8 (aHR = 5.86; 95% CI: 2.00-17.19), GCS at admission 9-12 (aHR = 3.27; 95% CI: 1.28-8.40), the value of SBP at admission ≤89mmHg (aHR = 4.41; 95% CI: 2.22-8.77), admission to the ICU (aHR = 3.89; 95% CI: 1.83-8.28) and complications (aHR = 5.48; 95% CI: 2.74-10.01).
The incidence of mortality among road traffic victims admitted to hospitals in Hawassa city was high. Thus, thorough follow-up and intensive management should be given to victims with critical health conditions.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0296946</identifier><identifier>PMID: 38809852</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accidents ; Accidents, Traffic - mortality ; Adolescent ; Adult ; Age groups ; Aged ; Analysis ; Blood pressure ; Child ; Child, Preschool ; Confidence intervals ; Data collection ; Engineering and Technology ; Ethiopia ; Ethiopia - epidemiology ; Fatalities ; Female ; Health facilities ; Hospitalization - statistics & numerical data ; Hospitals ; Hospitals - statistics & numerical data ; Humans ; Incidence ; Iran ; Low income areas ; Male ; Medical records ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Population ; Regression models ; Retrospective Studies ; Risk Factors ; Roads ; Sample size ; Sampling techniques ; Statistical analysis ; Sub-Saharan Africa ; Tanzania ; Traffic ; Traffic accidents ; Traffic accidents & safety ; Trauma ; Variables ; Vehicles ; Young Adult</subject><ispartof>PloS one, 2024-05, Vol.19 (5), p.e0296946-e0296946</ispartof><rights>Copyright: © 2024 Ayele et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Ayele 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>2024 Ayele et al 2024 Ayele et al</rights><rights>2024 Ayele 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c572t-dfc72a18e0fdee5ada75385e93e27e39c110449f2259b789d6a40c259933c8bf3</cites><orcidid>0009-0005-9315-0722</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/PMC11135675/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11135675/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38809852$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Simmen, Hans-Peter</contributor><creatorcontrib>Afacho, Amanuel Ayele</creatorcontrib><creatorcontrib>Belayneh, Teshale</creatorcontrib><creatorcontrib>Markos, Terefe</creatorcontrib><creatorcontrib>Geleta, Dereje</creatorcontrib><title>Incidence and predictors of mortality among road traffic accident victims admitted to hospitals at Hawassa city, Ethiopia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Globally, road traffic accidents are the eighth-leading cause of death for all age groups. The estimated number of road traffic deaths in low income countries was more than three times as high as in high-income countries. Africa had the highest rate of fatalities attributed to road traffic accidents. Ethiopia has the highest number of road traffic fatalities among Sub-Saharan African countries. The main objective of this study was to determine the incidence and predictors of mortality among road traffic victims admitted to hospitals in Hawassa City.
A facility-based retrospective cohort study was conducted using secondary data from hospital records. A total of 398 road traffic accident victims admitted to selected hospitals in Hawassa city from January 2019 to December 2021 participated in the study. Data were analyzed using STATA version 14.1. The Cox regression model was used to determine the predictors of mortality. A hazard ratio with a 95% confidence interval and a cut-off value of P<0.05 was used to declare the risk and statistical significance, respectively.
The incidence rate of mortality for road traffic accident victims was 7.34 per 10,000 person-hours. The predictors of mortality were the value of GCS at admission <8 (aHR = 5.86; 95% CI: 2.00-17.19), GCS at admission 9-12 (aHR = 3.27; 95% CI: 1.28-8.40), the value of SBP at admission ≤89mmHg (aHR = 4.41; 95% CI: 2.22-8.77), admission to the ICU (aHR = 3.89; 95% CI: 1.83-8.28) and complications (aHR = 5.48; 95% CI: 2.74-10.01).
The incidence of mortality among road traffic victims admitted to hospitals in Hawassa city was high. Thus, thorough follow-up and intensive management should be given to victims with critical health conditions.</description><subject>Accidents</subject><subject>Accidents, Traffic - mortality</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age groups</subject><subject>Aged</subject><subject>Analysis</subject><subject>Blood pressure</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Confidence intervals</subject><subject>Data collection</subject><subject>Engineering and Technology</subject><subject>Ethiopia</subject><subject>Ethiopia - epidemiology</subject><subject>Fatalities</subject><subject>Female</subject><subject>Health facilities</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Hospitals</subject><subject>Hospitals - statistics & numerical data</subject><subject>Humans</subject><subject>Incidence</subject><subject>Iran</subject><subject>Low income 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and predictors of mortality among road traffic accident victims admitted to hospitals at Hawassa city, Ethiopia</title><author>Afacho, Amanuel Ayele ; Belayneh, Teshale ; Markos, Terefe ; Geleta, Dereje</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c572t-dfc72a18e0fdee5ada75385e93e27e39c110449f2259b789d6a40c259933c8bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accidents</topic><topic>Accidents, Traffic - mortality</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age groups</topic><topic>Aged</topic><topic>Analysis</topic><topic>Blood pressure</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Confidence intervals</topic><topic>Data collection</topic><topic>Engineering and Technology</topic><topic>Ethiopia</topic><topic>Ethiopia - epidemiology</topic><topic>Fatalities</topic><topic>Female</topic><topic>Health 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Teshale</au><au>Markos, Terefe</au><au>Geleta, Dereje</au><au>Simmen, Hans-Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Incidence and predictors of mortality among road traffic accident victims admitted to hospitals at Hawassa city, Ethiopia</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-05-29</date><risdate>2024</risdate><volume>19</volume><issue>5</issue><spage>e0296946</spage><epage>e0296946</epage><pages>e0296946-e0296946</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Globally, road traffic accidents are the eighth-leading cause of death for all age groups. The estimated number of road traffic deaths in low income countries was more than three times as high as in high-income countries. Africa had the highest rate of fatalities attributed to road traffic accidents. Ethiopia has the highest number of road traffic fatalities among Sub-Saharan African countries. The main objective of this study was to determine the incidence and predictors of mortality among road traffic victims admitted to hospitals in Hawassa City.
A facility-based retrospective cohort study was conducted using secondary data from hospital records. A total of 398 road traffic accident victims admitted to selected hospitals in Hawassa city from January 2019 to December 2021 participated in the study. Data were analyzed using STATA version 14.1. The Cox regression model was used to determine the predictors of mortality. A hazard ratio with a 95% confidence interval and a cut-off value of P<0.05 was used to declare the risk and statistical significance, respectively.
The incidence rate of mortality for road traffic accident victims was 7.34 per 10,000 person-hours. The predictors of mortality were the value of GCS at admission <8 (aHR = 5.86; 95% CI: 2.00-17.19), GCS at admission 9-12 (aHR = 3.27; 95% CI: 1.28-8.40), the value of SBP at admission ≤89mmHg (aHR = 4.41; 95% CI: 2.22-8.77), admission to the ICU (aHR = 3.89; 95% CI: 1.83-8.28) and complications (aHR = 5.48; 95% CI: 2.74-10.01).
The incidence of mortality among road traffic victims admitted to hospitals in Hawassa city was high. Thus, thorough follow-up and intensive management should be given to victims with critical health conditions.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38809852</pmid><doi>10.1371/journal.pone.0296946</doi><tpages>e0296946</tpages><orcidid>https://orcid.org/0009-0005-9315-0722</orcidid><oa>free_for_read</oa></addata></record> |
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| issn | 1932-6203 1932-6203 |
| language | eng |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Accidents Accidents, Traffic - mortality Adolescent Adult Age groups Aged Analysis Blood pressure Child Child, Preschool Confidence intervals Data collection Engineering and Technology Ethiopia Ethiopia - epidemiology Fatalities Female Health facilities Hospitalization - statistics & numerical data Hospitals Hospitals - statistics & numerical data Humans Incidence Iran Low income areas Male Medical records Medicine and Health Sciences Middle Aged Mortality Population Regression models Retrospective Studies Risk Factors Roads Sample size Sampling techniques Statistical analysis Sub-Saharan Africa Tanzania Traffic Traffic accidents Traffic accidents & safety Trauma Variables Vehicles Young Adult |
| title | Incidence and predictors of mortality among road traffic accident victims admitted to hospitals at Hawassa city, Ethiopia |
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