Literature DB >> 26683547

The direct cost burden of 13years of disabling workplace injuries in the U.S. (1998-2010): Findings from the Liberty Mutual Workplace Safety Index.

Helen R Marucci-Wellman1, Theodore K Courtney2, Helen L Corns3, Gary S Sorock3, Barbara S Webster4, Radoslaw Wasiak5, Y Ian Noy2, Simon Matz3, Tom B Leamon6.   

Abstract

INTRODUCTION: Although occupational injuries are among the leading causes of death and disability around the world, the burden due to occupational injuries has historically been under-recognized, obscuring the need to address a major public health problem.
METHODS: We established the Liberty Mutual Workplace Safety Index (LMWSI) to provide a reliable annual metric of the leading causes of the most serious workplace injuries in the United States based on direct workers compensation (WC) costs.
RESULTS: More than $600 billion in direct WC costs were spent on the most disabling compensable non-fatal injuries and illnesses in the United States from 1998 to 2010. The burden in 2010 remained similar to the burden in 1998 in real terms. The categories of overexertion ($13.6B, 2010) and fall on same level ($8.6B, 2010) were consistently ranked 1st and 2nd. PRACTICAL APPLICATION: The LMWSI was created to establish the relative burdens of events leading to work-related injury so they could be better recognized and prioritized. Such a ranking might be used to develop research goals and interventions to reduce the burden of workplace injury in the United States.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Burden; Falls; Overexertion; Prevention; Work-related injury

Mesh:

Year:  2015        PMID: 26683547     DOI: 10.1016/j.jsr.2015.07.002

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  4 in total

1.  Applying Machine Learning to Workers' Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention Priorities: Ohio, 2001 to 2011.

Authors:  Alysha R Meyers; Ibraheem S Al-Tarawneh; Steven J Wurzelbacher; P Timothy Bushnell; Michael P Lampl; Jennifer L Bell; Stephen J Bertke; David C Robins; Chih-Yu Tseng; Chia Wei; Jill A Raudabaugh; Teresa M Schnorr
Journal:  J Occup Environ Med       Date:  2018-01       Impact factor: 2.162

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.  Prediction of coefficient of friction based on footwear outsole features.

Authors:  Arian Iraqi; Natasa S Vidic; Mark S Redfern; Kurt E Beschorner
Journal:  Appl Ergon       Date:  2019-11-01       Impact factor: 3.661

4.  Maxillofacial and concomitant serious injuries: An eight-year single center experience.

Authors:  Fausto Fama; Marco Cicciu; Alessandro Sindoni; Enrico Nastro-Siniscalchi; Roberto Falzea; Gabriele Cervino; Francesca Polito; Francesco De Ponte; Maria Gioffre-Florio
Journal:  Chin J Traumatol       Date:  2017-01-20
  4 in total

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