Literature DB >> 10506733

Injuries related to forklifts and other powered industrial vehicles in automobile manufacturing.

J W Collins1, G S Smith, S P Baker, M Warner.   

Abstract

BACKGROUND: The Bureau of Labor Statistics (BLS), Census of Fatal Occupational Injuries, estimates that approximately 100 workers are fatally injured each year in forklift and other powered industrial vehicle (PIV) incidents, and an estimated 34,000 work-related injuries involving forklifts are treated in U.S. emergency rooms each year.
METHODS: This paper presents a descriptive analysis of 916 incidents involving forklifts and other PIVs that occurred in 54 plants operated by a major U.S. automobile manufacturer over a 3-year period. The injury data were obtained from a company-wide occupational injury and illness surveillance system which was implemented in 1989.
RESULTS: The 916 PIV-related incidents resulted in 3 fatalities and 913 nonfatal injuries. The most common incident involved pedestrians (35%) who were struck by a PIV, or the load being carried by a PIV, or a rack or bin that had been struck by a PIV. Of the 913 nonfatal injuries, 41% resulted in an employee missing work and incurred a total of 22,730 lost workdays, an average of 61 days per lost workday incident.
CONCLUSIONS: Recommendations are presented to reduce the risk of injury, for example by separating PIV and pedestrian traffic, restricting the use of forklifts in an area where a large number of pedestrians travel and improving the training of all personnel who drive PIVs. Am. J. Ind. Med. 36:513-521, 1999. Published 1999 Wiley-Liss, Inc.

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Year:  1999        PMID: 10506733     DOI: 10.1002/(sici)1097-0274(199911)36:5<513::aid-ajim3>3.0.co;2-k

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  3 in total

1.  Visual Examination Standard for Forklift and Crane Operators: A Report for 66 Operators of a Factory in Mumbai.

Authors:  Prema K Chande; Kalika L Bandamwar
Journal:  Indian J Occup Environ Med       Date:  2021-07-09

2.  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

3.  Injury narrative text classification using factorization model.

Authors:  Lin Chen; Kirsten Vallmuur; Richi Nayak
Journal:  BMC Med Inform Decis Mak       Date:  2015-05-20       Impact factor: 2.796

  3 in total

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