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Medical Care Utilization for Work-Related Injuries in the United States 2002–2006
Objective: To examine racial-ethnic/gender differences in the odds of injury and in the odds of seeking medical treatment among workers in the United States. Methods: Logistic regression models were used to estimate the odds of having a work injury and the odds of seeking medical treatment for these...
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Published in: | Medical care 2010-07, Vol.48 (7), p.645-651 |
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creator | Berdahl, Terceira A. Zodet, Marc |
description | Objective: To examine racial-ethnic/gender differences in the odds of injury and in the odds of seeking medical treatment among workers in the United States. Methods: Logistic regression models were used to estimate the odds of having a work injury and the odds of seeking medical treatment for these injuries in a sample of non-Latino Black, Latino, and non-Latino white workers from the Medical Expenditure Panel Survey (2002–2006). Results: Significant variation in the odds of injury was observed across racial-ethnic/gender groups. Although race-gender groups had significant variation in the odds of experiencing a work injury, we found few differences in treatment seeking. Among the 6 subgroups, we found that white women were significantly less likely to report an injury and significantly more likely to seek treatment when injured. Having health insurance played a key role in utilization among injured workers. The odds of seeking treatment were 33% lower for uninsured workers compared with those with private insurance. Publicly insured workers were no different from privately insured workers. Conclusions: Our study sheds light on current trends in work injuries and associated medical care utilization among a nationally representative sample of workers. |
doi_str_mv | 10.1097/MLR.0b013e3181dbdc1c |
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Methods: Logistic regression models were used to estimate the odds of having a work injury and the odds of seeking medical treatment for these injuries in a sample of non-Latino Black, Latino, and non-Latino white workers from the Medical Expenditure Panel Survey (2002–2006). Results: Significant variation in the odds of injury was observed across racial-ethnic/gender groups. Although race-gender groups had significant variation in the odds of experiencing a work injury, we found few differences in treatment seeking. Among the 6 subgroups, we found that white women were significantly less likely to report an injury and significantly more likely to seek treatment when injured. Having health insurance played a key role in utilization among injured workers. The odds of seeking treatment were 33% lower for uninsured workers compared with those with private insurance. Publicly insured workers were no different from privately insured workers. Conclusions: Our study sheds light on current trends in work injuries and associated medical care utilization among a nationally representative sample of workers.</description><identifier>ISSN: 0025-7079</identifier><identifier>ISSN: 1537-1948</identifier><identifier>EISSN: 1537-1948</identifier><identifier>DOI: 10.1097/MLR.0b013e3181dbdc1c</identifier><identifier>PMID: 20548257</identifier><identifier>CODEN: MELAAD</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins</publisher><subject><![CDATA[Accidents, Occupational - statistics & numerical data ; Adolescent ; Adult ; Age Factors ; Aged ; Black or African American ; Black people ; Black People - statistics & numerical data ; Construction industries ; Female ; Health care industry ; Health insurance ; Health Services - statistics & numerical data ; Health Status Disparities ; Healthcare Disparities - statistics & numerical data ; Hispanic or Latino - statistics & numerical data ; Hispanics ; Humans ; Insurance, Health - statistics & numerical data ; Logistic Models ; Male ; Medical treatment ; Men ; Middle Aged ; Modeling ; Occupational accidents ; Occupations ; Physical trauma ; Polls & surveys ; Racial Groups - statistics & numerical data ; Regression analysis ; Sex Factors ; Uninsured people ; United States - epidemiology ; White people ; White People - statistics & numerical data ; Workplace diversity ; Wounds and Injuries - epidemiology ; Young Adult]]></subject><ispartof>Medical care, 2010-07, Vol.48 (7), p.645-651</ispartof><rights>Copyright © 2010 Lippincott Williams & Wilkins</rights><rights>2010 Lippincott Williams & Wilkins, Inc.</rights><rights>Copyright Lippincott Williams & Wilkins Jul 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404c-63534365fb1dad8f771fca4fbc07fd738658fb6e9d44583a8538f3e784f1705f3</citedby><cites>FETCH-LOGICAL-c404c-63534365fb1dad8f771fca4fbc07fd738658fb6e9d44583a8538f3e784f1705f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/25701513$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/25701513$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,58217,58450</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20548257$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Berdahl, Terceira A.</creatorcontrib><creatorcontrib>Zodet, Marc</creatorcontrib><title>Medical Care Utilization for Work-Related Injuries in the United States 2002–2006</title><title>Medical care</title><addtitle>Med Care</addtitle><description>Objective: To examine racial-ethnic/gender differences in the odds of injury and in the odds of seeking medical treatment among workers in the United States. Methods: Logistic regression models were used to estimate the odds of having a work injury and the odds of seeking medical treatment for these injuries in a sample of non-Latino Black, Latino, and non-Latino white workers from the Medical Expenditure Panel Survey (2002–2006). Results: Significant variation in the odds of injury was observed across racial-ethnic/gender groups. Although race-gender groups had significant variation in the odds of experiencing a work injury, we found few differences in treatment seeking. Among the 6 subgroups, we found that white women were significantly less likely to report an injury and significantly more likely to seek treatment when injured. Having health insurance played a key role in utilization among injured workers. The odds of seeking treatment were 33% lower for uninsured workers compared with those with private insurance. Publicly insured workers were no different from privately insured workers. Conclusions: Our study sheds light on current trends in work injuries and associated medical care utilization among a nationally representative sample of workers.</description><subject>Accidents, Occupational - statistics & numerical data</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Black or African American</subject><subject>Black people</subject><subject>Black People - statistics & numerical data</subject><subject>Construction industries</subject><subject>Female</subject><subject>Health care industry</subject><subject>Health insurance</subject><subject>Health Services - statistics & numerical data</subject><subject>Health Status Disparities</subject><subject>Healthcare Disparities - statistics & numerical data</subject><subject>Hispanic or Latino - statistics & numerical data</subject><subject>Hispanics</subject><subject>Humans</subject><subject>Insurance, Health - statistics & numerical data</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medical treatment</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Modeling</subject><subject>Occupational accidents</subject><subject>Occupations</subject><subject>Physical trauma</subject><subject>Polls & surveys</subject><subject>Racial Groups - statistics & numerical data</subject><subject>Regression analysis</subject><subject>Sex Factors</subject><subject>Uninsured people</subject><subject>United States - epidemiology</subject><subject>White people</subject><subject>White People - statistics & numerical data</subject><subject>Workplace diversity</subject><subject>Wounds and Injuries - epidemiology</subject><subject>Young Adult</subject><issn>0025-7079</issn><issn>1537-1948</issn><issn>1537-1948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkM1KXDEYhoNY6tT2Dmw5uOnq6JeT5CSzlMFaYUTwhy5DTn6YjJkTm-Qg7ar34B32ShoZ24Ibs_kged73Cw9CBxiOMMz58cXy6ggGwMQSLLAZjMZ6B80wI7zFcyp20QygYy0HPt9D73JeA2BOWPcW7XXAqOgYn6HrC2u8VqFZqGSb2-KD_6mKj2PjYmq-xXTXXtmgijXN-biekre58WNTVhUe_dP1damvuenqst-_Huvo36M3ToVsPzzPfXT75fRm8bVdXp6dL06WraZAddsTRijpmRuwUUY4zrHTirpBA3eGE9Ez4Ybezg2lTBAlGBGOWC6owxyYI_vo87b3PsXvk81FbnzWNgQ12jhlyUk91QdU8vAFuY5TGuvnJOOcADBGK0S3kE4x52SdvE9-o9IPiUE-KZdVuXypvMY-PXdPw8aaf6G_jisgtsBDDMWmfBemB5vkyqpQVq91f9xG17nE9L-accAME_IHA0iYvg</recordid><startdate>20100701</startdate><enddate>20100701</enddate><creator>Berdahl, Terceira A.</creator><creator>Zodet, Marc</creator><general>Lippincott Williams & Wilkins</general><general>Lippincott Williams & Wilkins, Inc</general><general>Lippincott Williams & Wilkins Ovid Technologies</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>20100701</creationdate><title>Medical Care Utilization for Work-Related Injuries in the United States 2002–2006</title><author>Berdahl, Terceira A. ; Zodet, Marc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404c-63534365fb1dad8f771fca4fbc07fd738658fb6e9d44583a8538f3e784f1705f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Accidents, Occupational - statistics & numerical data</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Black or African American</topic><topic>Black people</topic><topic>Black People - statistics & numerical data</topic><topic>Construction industries</topic><topic>Female</topic><topic>Health care industry</topic><topic>Health insurance</topic><topic>Health Services - statistics & numerical data</topic><topic>Health Status Disparities</topic><topic>Healthcare Disparities - statistics & numerical data</topic><topic>Hispanic or Latino - statistics & numerical data</topic><topic>Hispanics</topic><topic>Humans</topic><topic>Insurance, Health - statistics & numerical data</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medical treatment</topic><topic>Men</topic><topic>Middle Aged</topic><topic>Modeling</topic><topic>Occupational accidents</topic><topic>Occupations</topic><topic>Physical trauma</topic><topic>Polls & surveys</topic><topic>Racial Groups - statistics & numerical data</topic><topic>Regression analysis</topic><topic>Sex Factors</topic><topic>Uninsured people</topic><topic>United States - epidemiology</topic><topic>White people</topic><topic>White People - statistics & numerical data</topic><topic>Workplace diversity</topic><topic>Wounds and Injuries - epidemiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Berdahl, Terceira A.</creatorcontrib><creatorcontrib>Zodet, Marc</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Medical care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Berdahl, Terceira A.</au><au>Zodet, Marc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Medical Care Utilization for Work-Related Injuries in the United States 2002–2006</atitle><jtitle>Medical care</jtitle><addtitle>Med Care</addtitle><date>2010-07-01</date><risdate>2010</risdate><volume>48</volume><issue>7</issue><spage>645</spage><epage>651</epage><pages>645-651</pages><issn>0025-7079</issn><issn>1537-1948</issn><eissn>1537-1948</eissn><coden>MELAAD</coden><abstract>Objective: To examine racial-ethnic/gender differences in the odds of injury and in the odds of seeking medical treatment among workers in the United States. Methods: Logistic regression models were used to estimate the odds of having a work injury and the odds of seeking medical treatment for these injuries in a sample of non-Latino Black, Latino, and non-Latino white workers from the Medical Expenditure Panel Survey (2002–2006). Results: Significant variation in the odds of injury was observed across racial-ethnic/gender groups. Although race-gender groups had significant variation in the odds of experiencing a work injury, we found few differences in treatment seeking. Among the 6 subgroups, we found that white women were significantly less likely to report an injury and significantly more likely to seek treatment when injured. Having health insurance played a key role in utilization among injured workers. The odds of seeking treatment were 33% lower for uninsured workers compared with those with private insurance. Publicly insured workers were no different from privately insured workers. Conclusions: Our study sheds light on current trends in work injuries and associated medical care utilization among a nationally representative sample of workers.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins</pub><pmid>20548257</pmid><doi>10.1097/MLR.0b013e3181dbdc1c</doi><tpages>7</tpages></addata></record> |
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subjects | Accidents, Occupational - statistics & numerical data Adolescent Adult Age Factors Aged Black or African American Black people Black People - statistics & numerical data Construction industries Female Health care industry Health insurance Health Services - statistics & numerical data Health Status Disparities Healthcare Disparities - statistics & numerical data Hispanic or Latino - statistics & numerical data Hispanics Humans Insurance, Health - statistics & numerical data Logistic Models Male Medical treatment Men Middle Aged Modeling Occupational accidents Occupations Physical trauma Polls & surveys Racial Groups - statistics & numerical data Regression analysis Sex Factors Uninsured people United States - epidemiology White people White People - statistics & numerical data Workplace diversity Wounds and Injuries - epidemiology Young Adult |
title | Medical Care Utilization for Work-Related Injuries in the United States 2002–2006 |
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