Literature DB >> 31044658

Multisource surveillance for non-fatal work-related agricultural injuries.

Joanna Kica1, Kenneth D Rosenman1.   

Abstract

Objectives: Development of a state-wide comprehensive surveillance system for non-fatal work-related farm injuries, since non-fatal injuries that occur to the self-employed (i.e., many farm owners/operators), family workers, federal government workers and small farms with fewer than 11 employees are not included in the Bureau of Labor Statistics employer-based survey used to produce the U.S. National statistics of work-related injuries.
Methods: In 2015 and 2016, inpatient discharge summaries, emergency department, and hospital-based outpatient clinic records from all 134 of Michigan's hospitals with ICD-9 codes 989.0-.1, E827.0-.9, E849.1, E906.8, E919.0 or ICD-10 codesT65.0-.1, V80, Y92.7, W55.1-.4, W30 were reviewed to identify non-fatal work-related farm injuries.
Results: We identified 1,559 non-fatal work-related farm injury incidents that occurred in 1,525 individuals, with 74% being among men. The most common parts of the body injured were an upper limb (38.2%) and a lower limb (23.7%). The most common types of injury were contusions (26.4%) and fractures (19.9%). Owners/operators accounted for 44.1% and hired hands for 42.9% of individuals injured. Injuries caused by cows were the predominant cause: 472 (31.5%) of all the injuries. Dairy farms accounted for 39.6% of all cases for which the farm type was recorded.
Conclusion: A comprehensive system to identify non-fatal work-related farm injuries among all individuals who work on a farm, including owner/operators, family members and migrant and seasonal farm laborers, was implemented using hospital, emergency department and hospital-based outpatient clinic medical records. Such a system is important to be able to identify hazards and target prevention.

Entities:  

Keywords:  Agriculture; dairy industry; non-fatal agricultural injury; surveillance; work-related farm injury

Year:  2019        PMID: 31044658      PMCID: PMC6824958          DOI: 10.1080/1059924X.2019.1606746

Source DB:  PubMed          Journal:  J Agromedicine        ISSN: 1059-924X            Impact factor:   1.675


  15 in total

1.  Occupational injury and illness surveillance: conceptual filters explain underreporting.

Authors:  Lenore S Azaroff; Charles Levenstein; David H Wegman
Journal:  Am J Public Health       Date:  2002-09       Impact factor: 9.308

2.  Surveillance of fatal and non-fatal farm injuries in Kentucky.

Authors:  L Stallones
Journal:  Am J Ind Med       Date:  1990       Impact factor: 2.214

3.  Estimation of agricultural and logging injury incidence in Maine using electronic administrative data sets.

Authors:  Erika E Scott; Nicole L Krupa; Melissa Horsman; Paul L Jenkins
Journal:  J Agromedicine       Date:  2015       Impact factor: 1.675

4.  An estimate of the U.S. government's undercount of nonfatal occupational injuries and illnesses in agriculture.

Authors:  J Paul Leigh; Juan Du; Stephen A McCurdy
Journal:  Ann Epidemiol       Date:  2014-01-22       Impact factor: 3.797

5.  OSHA, well past its infancy, but still learning how to count injuries and illnesses.

Authors:  Kenneth D Rosenman
Journal:  Am J Ind Med       Date:  2016-06-27       Impact factor: 2.214

6.  Injury risk factors to farm and ranch operators in the Central United States.

Authors:  Rohan Jadhav; Chandran Achutan; Gleb Haynatzki; Shireen Rajaram; Risto Rautiainen
Journal:  Am J Ind Med       Date:  2017-08-28       Impact factor: 2.214

7.  Costs of occupational injuries in agriculture.

Authors:  J P Leigh; S A McCurdy; M B Schenker
Journal:  Public Health Rep       Date:  2001 May-Jun       Impact factor: 2.792

8.  Agricultural injuries among a population-based sample of farm operators in Alabama.

Authors:  C Zhou; J M Roseman
Journal:  Am J Ind Med       Date:  1994-03       Impact factor: 2.214

9.  Agriculture and forestry work-related injuries among farmers admitted to an Emergency Department.

Authors:  Adam Nogalski; Tomasz Lübek; Jacek Sompor; Jerzy Karski
Journal:  Ann Agric Environ Med       Date:  2007       Impact factor: 1.447

10.  Injuries in agriculture--injury severity and mortality.

Authors:  Carmen A Pfortmueller; Daniel Kradolfer; Mirco Kunz; Beat Lehmann; Gregor Lindner; Aristomenis K Exadaktylos
Journal:  Swiss Med Wkly       Date:  2013-08-27       Impact factor: 2.193

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  3 in total

1.  An initial analysis of agricultural trauma in South Dakota with an emphasis on work-related injuries.

Authors:  Jessica Simpkins; David Sturdevant; Gary Timmerman
Journal:  Aesculapius (Sioux Falls)       Date:  2021-03-01

2.  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.  Evaluating Oregon's occupational public health surveillance system based on the CDC updated guidelines.

Authors:  Liu Yang; Crystal Weston; Curtis Cude; Laurel Kincl
Journal:  Am J Ind Med       Date:  2020-06-01       Impact factor: 2.214

  3 in total

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