Analysis of Text From Injury Reports Improves Understanding of Construction Falls
Objective: We combined payroll data, coded workers' compensation (WC) data, and text descriptions of injuries from the construction of Denver International Airport to create a more comprehensive picture of falls from height (FFH) than is typically available from WC data. Text descriptions were...
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Veröffentlicht in: | Journal of occupational and environmental medicine 2004-11, Vol.46 (11), p.1166-1173 |
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creator | Lipscomb, Hester J. Glazner, Judith Bondy, Jessica Lezotte, Dennis Guarini, Kenneth |
description | Objective: We combined payroll data, coded workers' compensation (WC) data, and text descriptions of injuries from the construction of Denver International Airport to create a more comprehensive picture of falls from height (FFH) than is typically available from WC data. Text descriptions were coded to identify circumstances surrounding falls. Slips/trips preceded one third of FFH, often involving motor vehicles or heavy equipment. Another third involved movement or collapse of work surfaces, usually ladders or scaffolds. Conclusions: The significant contribution of motor vehicles and heavy equipment to FFH, particularly those preceded by slips/trips, was not apparent from coded data. Heavy equipment engineering modifications are called for and workers in street/roadway construction/site development need fall protection training. Text analyses allow exploration of factors not identified at the time of data collection and better understanding of the context in which injuries occur. |
doi_str_mv | 10.1097/01.jom.0000141769.48553.1b |
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Text descriptions were coded to identify circumstances surrounding falls. Slips/trips preceded one third of FFH, often involving motor vehicles or heavy equipment. Another third involved movement or collapse of work surfaces, usually ladders or scaffolds. Conclusions: The significant contribution of motor vehicles and heavy equipment to FFH, particularly those preceded by slips/trips, was not apparent from coded data. Heavy equipment engineering modifications are called for and workers in street/roadway construction/site development need fall protection training. Text analyses allow exploration of factors not identified at the time of data collection and better understanding of the context in which injuries occur.</description><identifier>ISSN: 1076-2752</identifier><identifier>EISSN: 1536-5948</identifier><identifier>DOI: 10.1097/01.jom.0000141769.48553.1b</identifier><identifier>PMID: 15534504</identifier><identifier>CODEN: JOEMFM</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams & Wilkins</publisher><subject>Accidental Falls - statistics & numerical data ; Accidents, Occupational - statistics & numerical data ; Aircraft ; Biological and medical sciences ; Colorado - epidemiology ; Construction accidents & safety ; Data analysis ; Facility Design and Construction ; Falls ; Humans ; Medical sciences ; Miscellaneous ; Occupational health ; Occupational medicine ; ORIGINAL ARTICLES ; Public health. Hygiene-occupational medicine ; Risk Factors ; Workers compensation ; Workers' Compensation - economics</subject><ispartof>Journal of occupational and environmental medicine, 2004-11, Vol.46 (11), p.1166-1173</ispartof><rights>Copyright © 2004 American College of Occupational and Environmental Medicine</rights><rights>2004The American College of Occupational and Environmental Medicine</rights><rights>2005 INIST-CNRS</rights><rights>Copyright Lippincott Williams & Wilkins Nov 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5012-8d4646c8750aa1dafbecaeef4901b9a18c48ad774fdfdfd0c95eb68272b1ba0d3</citedby><cites>FETCH-LOGICAL-c5012-8d4646c8750aa1dafbecaeef4901b9a18c48ad774fdfdfd0c95eb68272b1ba0d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/44997378$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/44997378$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,782,786,805,27931,27932,58024,58257</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16278072$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15534504$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lipscomb, Hester J.</creatorcontrib><creatorcontrib>Glazner, Judith</creatorcontrib><creatorcontrib>Bondy, Jessica</creatorcontrib><creatorcontrib>Lezotte, Dennis</creatorcontrib><creatorcontrib>Guarini, Kenneth</creatorcontrib><title>Analysis of Text From Injury Reports Improves Understanding of Construction Falls</title><title>Journal of occupational and environmental medicine</title><addtitle>J Occup Environ Med</addtitle><description>Objective: We combined payroll data, coded workers' compensation (WC) data, and text descriptions of injuries from the construction of Denver International Airport to create a more comprehensive picture of falls from height (FFH) than is typically available from WC data. Text descriptions were coded to identify circumstances surrounding falls. Slips/trips preceded one third of FFH, often involving motor vehicles or heavy equipment. Another third involved movement or collapse of work surfaces, usually ladders or scaffolds. Conclusions: The significant contribution of motor vehicles and heavy equipment to FFH, particularly those preceded by slips/trips, was not apparent from coded data. Heavy equipment engineering modifications are called for and workers in street/roadway construction/site development need fall protection training. Text analyses allow exploration of factors not identified at the time of data collection and better understanding of the context in which injuries occur.</description><subject>Accidental Falls - statistics & numerical data</subject><subject>Accidents, Occupational - statistics & numerical data</subject><subject>Aircraft</subject><subject>Biological and medical sciences</subject><subject>Colorado - epidemiology</subject><subject>Construction accidents & safety</subject><subject>Data analysis</subject><subject>Facility Design and Construction</subject><subject>Falls</subject><subject>Humans</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Occupational health</subject><subject>Occupational medicine</subject><subject>ORIGINAL ARTICLES</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Risk Factors</subject><subject>Workers compensation</subject><subject>Workers' Compensation - economics</subject><issn>1076-2752</issn><issn>1536-5948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkVtr3DAQhU1paS7tT2gxgebNrkbWtW9hybYLgZCSPAtZlhu7srWV7KT77yN3ly70pdKDRvCdM8OcLLsAVAKS_DOCsvdDidIBApzJkghKqxLqV9kp0IoVVBLxOtWIswJzik-ysxj7hFNA9G12AgknFJHT7O5q1G4Xu5j7Nr-3v6d8HfyQb8Z-Drv8u936MMV8M2yDf7IxfxgbG-Kkx6YbfyySlR_jFGYzdX7M19q5-C5702oX7fvDe549rK_vV9-Km9uvm9XVTWEoAlyIhjDCjOAUaQ2NbmtrtLUtkQhqqUEYInTDOWmb5SIjqa2ZwBzXUGvUVOfZ5d43jfZrtnFSQxeNdU6P1s9RYckJwkz-FwTOkUCiSuDFP2Dv55D2k8wAMySIZAn6sodM8DEG26pt6AYddgqQWuJRCJJuUMd41J94FNRJ_PHQYa4H2xylhzwS8OkA6Gi0a4MeTRePHMNcII4TR_bcs3dTSuSnm59tUI9Wu-lxaU0qzkiBUwGQvsUyzCL7sJf1cfLhry0hUvKKi-oFcAWzMQ</recordid><startdate>200411</startdate><enddate>200411</enddate><creator>Lipscomb, Hester J.</creator><creator>Glazner, Judith</creator><creator>Bondy, Jessica</creator><creator>Lezotte, Dennis</creator><creator>Guarini, Kenneth</creator><general>Lippincott Williams & Wilkins</general><general>The American College of Occupational and Environmental Medicine</general><general>Lippincott Williams & Wilkins Ovid Technologies</general><scope>IQODW</scope><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>7T2</scope><scope>7U7</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>7U2</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope></search><sort><creationdate>200411</creationdate><title>Analysis of Text From Injury Reports Improves Understanding of Construction Falls</title><author>Lipscomb, Hester J. ; Glazner, Judith ; Bondy, Jessica ; Lezotte, Dennis ; Guarini, Kenneth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5012-8d4646c8750aa1dafbecaeef4901b9a18c48ad774fdfdfd0c95eb68272b1ba0d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Accidental Falls - statistics & numerical data</topic><topic>Accidents, Occupational - statistics & numerical data</topic><topic>Aircraft</topic><topic>Biological and medical sciences</topic><topic>Colorado - epidemiology</topic><topic>Construction accidents & safety</topic><topic>Data analysis</topic><topic>Facility Design and Construction</topic><topic>Falls</topic><topic>Humans</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Occupational health</topic><topic>Occupational medicine</topic><topic>ORIGINAL ARTICLES</topic><topic>Public health. 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Text descriptions were coded to identify circumstances surrounding falls. Slips/trips preceded one third of FFH, often involving motor vehicles or heavy equipment. Another third involved movement or collapse of work surfaces, usually ladders or scaffolds. Conclusions: The significant contribution of motor vehicles and heavy equipment to FFH, particularly those preceded by slips/trips, was not apparent from coded data. Heavy equipment engineering modifications are called for and workers in street/roadway construction/site development need fall protection training. Text analyses allow exploration of factors not identified at the time of data collection and better understanding of the context in which injuries occur.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>15534504</pmid><doi>10.1097/01.jom.0000141769.48553.1b</doi><tpages>8</tpages></addata></record> |
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subjects | Accidental Falls - statistics & numerical data Accidents, Occupational - statistics & numerical data Aircraft Biological and medical sciences Colorado - epidemiology Construction accidents & safety Data analysis Facility Design and Construction Falls Humans Medical sciences Miscellaneous Occupational health Occupational medicine ORIGINAL ARTICLES Public health. Hygiene-occupational medicine Risk Factors Workers compensation Workers' Compensation - economics |
title | Analysis of Text From Injury Reports Improves Understanding of Construction Falls |
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