Using State Agency Reports to Augment Ohio's Agricultural Injury Surveillance Efforts.

Agriculture, workers’ compensations emergency medical services injury surveillance occupational incidents

Journal

Journal of agromedicine
ISSN: 1545-0813
Titre abrégé: J Agromedicine
Pays: England
ID NLM: 9421530

Informations de publication

Date de publication:
30 Jan 2024
Historique:
medline: 30 1 2024
pubmed: 30 1 2024
entrez: 30 1 2024
Statut: aheadofprint

Résumé

Agriculture is a hazardous industry with undocumented injury events. Credible surveillance measures are critical for this industry, especially to guide injury prevention programs with targeted recommendations for specific commodity groups and populations. This multi-phase study explored the feasibility for two state agency databases, the Ohio Bureau of Workers' Compensation (BWC) Program and the Emergency Medical Services Incident Reporting System (EMSIRS), to augment the state's Bureau of Labor Statistics (BLS) annual reports. BWC data described injury claims in agricultural workplaces from 1999 to 2008. State EMSIRS data described the types of medical emergencies for which EMS services were requested to Ohio farms in 2013-2014. Descriptive analyses were performed on each distinctive source. Over 14,000 BWC claims were analyzed, with primary nature of injury identified as sprains and strains of bodily extremities; falls were the most common cause of injury. The EMSIRS data provided 1,376 cases, where EMS services were requested to Ohio farms at injury onset. Some cases had possibility to be excluded in CFOI or employment claims data, with 24% patients 65 years and older and 6% children 13 years and younger. The primary cause of injury was falls, and the highest reported injury type was blunt trauma. Both BWC and EMSIRS databases showed the potential to enhance Ohio's agricultural surveillance data with viable information not found in previously used systems. Each agency database had its own merits to further clarify and quantify morbidity. When used together, these sources enrich surveillance statistics to describe Ohio's agricultural injury incidents.

Sections du résumé

BACKGROUND UNASSIGNED
Agriculture is a hazardous industry with undocumented injury events. Credible surveillance measures are critical for this industry, especially to guide injury prevention programs with targeted recommendations for specific commodity groups and populations. This multi-phase study explored the feasibility for two state agency databases, the Ohio Bureau of Workers' Compensation (BWC) Program and the Emergency Medical Services Incident Reporting System (EMSIRS), to augment the state's Bureau of Labor Statistics (BLS) annual reports.
METHODS UNASSIGNED
BWC data described injury claims in agricultural workplaces from 1999 to 2008. State EMSIRS data described the types of medical emergencies for which EMS services were requested to Ohio farms in 2013-2014. Descriptive analyses were performed on each distinctive source.
RESULTS UNASSIGNED
Over 14,000 BWC claims were analyzed, with primary nature of injury identified as sprains and strains of bodily extremities; falls were the most common cause of injury. The EMSIRS data provided 1,376 cases, where EMS services were requested to Ohio farms at injury onset. Some cases had possibility to be excluded in CFOI or employment claims data, with 24% patients 65 years and older and 6% children 13 years and younger. The primary cause of injury was falls, and the highest reported injury type was blunt trauma.
CONCLUSIONS UNASSIGNED
Both BWC and EMSIRS databases showed the potential to enhance Ohio's agricultural surveillance data with viable information not found in previously used systems. Each agency database had its own merits to further clarify and quantify morbidity. When used together, these sources enrich surveillance statistics to describe Ohio's agricultural injury incidents.

Identifiants

pubmed: 38288728
doi: 10.1080/1059924X.2024.2306822
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-8

Auteurs

S Dee Jepsen (SD)

Department of Food, Agricultural, and Biological Engineering, College of Food, Agricultural and Environmental Sciences, The Ohio State University, Columbus, Ohio, USA.

Andrea Costin (A)

Division of Health Behavior and Health Promotion, College of Public Health, The Ohio State University, Columbus, Ohio, USA.

Jed Bookman (J)

Department of Food, Agricultural, and Biological Engineering, College of Food, Agricultural and Environmental Sciences, The Ohio State University, Columbus, Ohio, USA.

Gail Kaye (G)

Division of Health Behavior and Health Promotion, College of Public Health, The Ohio State University, Columbus, Ohio, USA.

Classifications MeSH