Literature DB >> 16750154

Work-related ladder fall fractures: identification and diagnosis validation using narrative text.

Gordon S Smith1, Robert A Timmons, David A Lombardi, Dheeresh K Mamidi, Simon Matz, Theodore K Courtney, Melissa J Perry.   

Abstract

OBJECTIVE: To identify ladder-related fracture injuries and determine how ladder fall fractures differ from other ladder-related injuries.
METHODS: Ladder-related fracture cases were identified using narrative text and coded data from workers' compensation claims. Potential cases were identified by text searches and verified with claim records. Injury characteristics were compared using proportionate injury ratios.
RESULTS: Of 9826 ladder-related injuries, 7% resulted in fracture cases. Falls caused 89% of fractures and resulted in more medical costs and disability days than other injuries. Frequent mechanisms were ladder instability (22%) and lost footing (22%). Narrative text searches identified 17% more fractures than injury codes alone. Males were more likely to sustain a fall fracture than other injuries; construction workers were most likely, and retail workers were the least likely to sustain fractures.
CONCLUSIONS: Fractures are an important injury from ladder falls, resulting more serious consequences than other ladder-related injuries. Text analysis can improve the quality and utility of workers compensation data by identifying and understanding injury causes. Proportionate injury ratios are also useful for making cross-group comparisons of injury experience when denominator data are not available. Greater attention to risk factors for ladder falls is needed for targeting interventions.

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Year:  2006        PMID: 16750154     DOI: 10.1016/j.aap.2006.04.008

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  7 in total

1.  Portable ladder assessment tool development and validation-quantifying best practices in the field.

Authors:  Jack T Dennerlein; Christopher J Ronk; Melissa J Perry
Journal:  Saf Sci       Date:  2009-05-01       Impact factor: 4.877

2.  Harnessing information from injury narratives in the 'big data' era: understanding and applying machine learning for injury surveillance.

Authors:  Kirsten Vallmuur; Helen R Marucci-Wellman; Jennifer A Taylor; Mark Lehto; Helen L Corns; Gordon S Smith
Journal:  Inj Prev       Date:  2016-01-04       Impact factor: 2.399

3.  Effects of Gloves and Pulling Task on Achievable Downward Pull Forces on a Rung.

Authors:  Kurt E Beschorner; Gregory P Slota; Erika M Pliner; Egli Spaho; Na Jin Seo
Journal:  Hum Factors       Date:  2017-11-21       Impact factor: 2.888

4.  Factors affecting fall severity from a ladder: Impact of climbing direction, gloves, gender and adaptation.

Authors:  Erika M Pliner; Na Jin Seo; Kurt E Beschorner
Journal:  Appl Ergon       Date:  2016-12-07       Impact factor: 3.661

5.  Identifying work related injuries: comparison of methods for interrogating text fields.

Authors:  Kirsten McKenzie; Margaret A Campbell; Deborah A Scott; Tim R Discoll; James E Harrison; Roderick J McClure
Journal:  BMC Med Inform Decis Mak       Date:  2010-04-07       Impact factor: 2.796

6.  Analysis of Postural Instability in the Upright Position on Narrow Platforms and the Interactions with Postural Constraints.

Authors:  Atsushi Sugama; Akihiko Seo
Journal:  Sensors (Basel)       Date:  2021-06-05       Impact factor: 3.576

7.  Livestock-handling injuries in agriculture: an analysis of Colorado workers' compensation data.

Authors:  David I Douphrate; John C Rosecrance; Lorann Stallones; Stephen J Reynolds; David P Gilkey
Journal:  Am J Ind Med       Date:  2009-05       Impact factor: 3.079

  7 in total

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