Improving agricultural injury surveillance: a comparison of incidence and type of injury event among three data sources.
Abstract: 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. Methods: 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. Conclusions: 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.
Publication Date: 2011-05-02 PubMed ID: 21538445DOI: 10.1002/ajim.20960Google Scholar: Lookup
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- Comparative Study
- Journal Article
- Research Support
- N.I.H.
- Extramural
Summary
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The research article reviews agricultural injuries, comparing the incidence and type obtained from community reports and two new medical data systems. The aim was to improve current agricultural injury surveillance.
Objective and Methodology
- The research article aimed to compare the total number and types of injuries identified from community reporting versus two newly available medical data systems. The new systems were deemed to be less expensive and faster to operate.
- The study examined farm injury case records from 2007 in ten counties in New York. The data was sourced from ambulance reports, hospital data, and community surveillance data.
Results
- Out of 107 ambulance report cases, the three leading sources of injuries were horses (35%), tractors (15%), and livestock (10%).
- For the 261 hospital cases, the leading sources of injury were hand tools (24%), farmstead machinery (23%), and buildings/structures/surfaces (22%).
- Tractor injuries (37%) were the most common source of injuries identified among the 44 community surveillance cases.
- The most common injury event type for both hospital and surveillance data was being struck by an object (34% and 30%, respectively).
- Falls were the most reported injury for ambulance reports (36%) and were also common in hospital data (29%).
- Most fatal cases (9 out of 11) were discovered through community surveillance.
Conclusions
- The study determined that ambulance reports and hospital data add a significant number of additional farm injury cases to existing surveillance data. Injuries due to horses, falls, and hand tools, in particular, appear more significant in farm injuries than previously thought.
- The researchers suggest future studies should focus on figuring out how to best utilize these electronic resources for agricultural injury surveillance.
Cite This Article
APA
Earle-Richardson GB, Jenkins PL, Scott EE, May JJ.
(2011).
Improving agricultural injury surveillance: a comparison of incidence and type of injury event among three data sources.
Am J Ind Med, 54(8), 586-596.
https://doi.org/10.1002/ajim.20960 Publication
Researcher Affiliations
- The New York Center for Agricultural Medicine and Health, Bassett Healthcare Network, Cooperstown, USA.
MeSH Terms
- Accidents, Occupational / prevention & control
- Accidents, Occupational / statistics & numerical data
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Agriculture
- Ambulances
- Child
- Child, Preschool
- Data Collection
- Electronic Health Records
- Hospital Records
- Humans
- Incidence
- Local Government
- Middle Aged
- New York / epidemiology
- Patient Discharge
- Population Surveillance / methods
- Qualitative Research
- Safety
- State Government
- Wounds and Injuries / classification
- Wounds and Injuries / epidemiology
- Wounds and Injuries / etiology
- Young Adult
Grant Funding
- U50-OH007542 / NIOSH CDC HHS
Citations
This article has been cited 5 times.- Scott E, Hirabayashi L, Graham J, Krupa N, Jenkins P. 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.. Inj Epidemiol 2021 Feb 15;8(1):6.
- Koroma ET, Kangbai JB. Agro-industrial accidents linked to length of service, operation site and confidence in employer adherence to safety rules.. BMC Public Health 2020 Apr 30;20(1):591.
- VanWormer JJ, Barnes KL, Waring SC, Keifer MC. Socio-environmental risk factors for medically-attended agricultural injuries in Wisconsin dairy farmers.. Injury 2017 Jul;48(7):1444-1450.
- Chercos DH, Berhanu D. Work related injury among Saudi Star Agro Industry workers in Gambella region, Ethiopia; a cross-sectional study.. J Occup Med Toxicol 2017;12:7.
- Hansen C, Adams M, Fox DJ, O'Leary LA, Frías JL, Freiman H, Meaney FJ. Exploring the feasibility of using electronic health records in the surveillance of fetal alcohol syndrome.. Birth Defects Res A Clin Mol Teratol 2014 Feb;100(2):67-78.
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