Literature DB >> 21538445

Improving agricultural injury surveillance: a comparison of incidence and type of injury event among three data sources.

Giulia B Earle-Richardson1, Paul L Jenkins, Erika E Scott, John J May.   

Abstract

BACKGROUND: Agriculture ranks as one of the most hazardous industries in the nation. Ongoing injury surveillance is key to identifying and preventing major sources of injury.
OBJECTIVE: The objective of this study was to compare the total number and types of injuries identified from community reporting versus two newly available medical data systems. These new systems are important because they are less time consuming and expensive to maintain.
METHOD: Farm injury case records from 2007 were collected for 10 NY counties from the following sources: ambulance reports, hospital data, and community surveillance data.
RESULTS: For the 107 ambulance report cases, horses (35%), tractors (15%), and livestock (10%) were the three leading injury sources. For the 261 hospital cases, the leading sources were hand tools (24%), farmstead machinery (23%), and buildings/structures/surfaces (22%). Tractor injuries (37%) were the most common source of injuries identified by the 44 community surveillance cases. Struck by object was the most frequent injury event type for hospital and surveillance data (34%, 30%). Falls were the highest category for ambulance reports (36%) and were also common for hospital data (29%). Nine of the 11 fatal cases were found through community surveillance.
CONCLUSION: Ambulance reports and hospital data contribute a large number of additional farm injury cases to existing surveillance data. From these cases, horse injuries, falls, and hand tool injuries appear to play a larger role in farm injuries. Future research should explore how to best use these electronic resources for agricultural injury surveillance.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21538445     DOI: 10.1002/ajim.20960

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


  3 in total

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Authors:  Craig Hansen; Marvin Adams; Deborah J Fox; Leslie A O'Leary; Jaime L Frías; Heather Freiman; F John Meaney
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2014-02-12

2.  Work related injury among Saudi Star Agro Industry workers in Gambella region, Ethiopia; a cross-sectional study.

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Journal:  J Occup Med Toxicol       Date:  2017-03-16       Impact factor: 2.646

3.  Using hospitalization data for injury surveillance in agriculture, forestry and fishing: a crosswalk between ICD10CM external cause of injury coding and The Occupational Injury and Illness Classification System.

Authors:  Erika Scott; Liane Hirabayashi; Judy Graham; Nicole Krupa; Paul Jenkins
Journal:  Inj Epidemiol       Date:  2021-02-15
  3 in total

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