Non‐fatal agricultural injury surveillance in the United States: A review of national‐level survey‐based systems

Patel, Ketki; Watanabe‐Galloway, Shinobu; Gofin, Rosa; Haynatzki, Gleb; Rautiainen, Risto

doi:10.1002/ajim.22720

Cited by 31 publications

(21 citation statements)

References 37 publications

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“…Moreover, collecting injury data in this population through surveys that reach all workers, including self-employed and part-time producers, is wrought with challenges because of the lack of sufficient rosters for recruitment, a predictably low response rate, and all at a very high cost. Analyses of past survey surveillance programs unveiled other major gaps including data quality issues partly due to nonresponse, measurement errors and underreporting, untimeliness, and a lack of flexibility toward intersystem integrations [30].…”

Section: Introductionmentioning

confidence: 99%

Redesigning a Sentinel Surveillance System for Collecting and Disseminating Near Real-Time Agricultural Injury Reports: System Usability Study

Weichelt¹,

Heimonen²,

Gorucu³

et al. 2019

JMIR Form Res

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Background Injury data and reports provide valuable information for both public and private organizations to guide programming, policy, and prevention, but in the increasingly complex and dangerous industry of US agriculture, the injury surveillance needed to produce this data is lacking. To address the gap, AgInjuryNews was established in 2015. The system includes fatal and nonfatal injury cases derived from publicly available reports, including occupational and nonoccupational injuries, occurring in the agricultural, forestry, and fishing (AFF) industry. Objective The study aimed to develop a stakeholder-engaged redesign of the interactive, up-to-date, and publicly available dataset of US AFF injury and fatality reports. Methods Instructor-led heuristic evaluations within a 15-student undergraduate course, data from 8 student participants of laboratory-based usability testing and 2016 and 2017 AgInjuryNews-registered user surveys, coupled with input from the National Steering Committee informed the development priorities for 2018. An interdisciplinary team employed an agile methodology of 2-week sprints developing in ASP.NET and Structured Query Language to deliver an intuitive frontend and a flexible, yet structured, backend, including a case report input form for capturing more than 50 data points on each injury report. Results AgInjuryNews produced 17,714 page views from 43 countries in 2018 captured via Google Analytics, whereas 623 injury reports were coded and loaded, totaling more than 31,000 data points. Newly designed features include customizable email alerts, an interactive map, and expanded search and filter options. User groups such as the Bureau of Labor Statistics and the Agricultural Safety and Health Council of America have endorsed the system within their networks. News media have cited or referenced the system in national outlets such as the New York Times, Politico, and the Washington Post. Conclusions The new system’s features, functions, and improved data granularity have sparked innovative lines of research and increased collaborative interest domestically and abroad. It is anticipated that this nontraditional sentinel surveillance system and its dataset will continue to serve many purposes for public and private agricultural safety and health stakeholders in the years to come.

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Section: Introductionmentioning

confidence: 99%

Redesigning a Sentinel Surveillance System for Collecting and Disseminating Near Real-Time Agricultural Injury Reports: System Usability Study

Weichelt¹,

Heimonen²,

Gorucu³

et al. 2019

JMIR Form Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…Yurtlu et al (2012) investigated risk perceptions in operation of agricultural machinery, Güğercin et al (2016) assessed job safety and occupational health attitudes of agricultural engineers. Patel et al (2017) carried out a study in the USA and indicated that nonfatal agricultural injuries were mostly assessed through national surveys, data quality were most of the time insufficient, data were misleading and were not integrated into the current systems.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Tractor and Agricultural Machine Accidents Happened in Agricultural Enterprises of Çumra Town of Konya Province

Alçayır¹,

Hacıseferoğulları²

2017

SJAFS

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“…and agency reports, such as traffic accidents and insurance claims, including workers' compensation (Pinzke et al, 2018;Bonauto et al, 2003;Pate and Merryweather, 2012;Patel et al, 2017;Kim et al, 2018;VanWormer et al, 2017;Forst and Erskine, 2009;Scott et al, 2015Scott et al, , 2017Denning and Jennissen, 2018;Carnedas et al, 2018;Rautianien et al, 2005Rautianien et al, , 2009. Each method of data collection can provide information and insights needed for targeted intervention.…”

mentioning

confidence: 99%

Fatal Agricultural Injuries in Pennsylvania, 2015-2017: A Comparative Analysis of Two Systems’ Data Collection Methods and Datasets

Gorucu¹,

Weichelt²,

Pate³

2019

Journal of Agricultural Safety and Health

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tified in Pennsylvania across both systems. Differences between the two systems included coding, such as victim age and demographics, as well as inclusion criteria, such as the time between the incident and victim death. Of the 104 agricultural fatalities, 73% were identified through the PA-FF dataset, and 53% were identified through the AIN dataset. AIN included a higher proportion of female victims and roadway incidents, whereas PA-FF included a significantly higher proportion of the identified Anabaptist cases ( 2 = 22.329, df = 2, p < 0.001). Although PA-FF may have an advantage by including death certificates, this study revealed that PA-FF alone missed mortality data and certain risk factors, such as roadway fatalities related to farm equipment. When comparing two datasets, the inclusion criteria should be considered. Supplemental surveillance programs such as these would benefit from a periodic review between two or more datasets to ensure that agricultural fatalities are captured more accurately.

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Non‐fatal agricultural injury surveillance in the United States: A review of national‐level survey‐based systems

Abstract: Improving data quality, timeliness and flexibility will provide reliable and valid injury estimates, and increase the usefulness of these surveys for surveillance and prevention of farm injuries.

Cited by 31 publications

References 37 publications

Redesigning a Sentinel Surveillance System for Collecting and Disseminating Near Real-Time Agricultural Injury Reports: System Usability Study

Redesigning a Sentinel Surveillance System for Collecting and Disseminating Near Real-Time Agricultural Injury Reports: System Usability Study

Assessment of Tractor and Agricultural Machine Accidents Happened in Agricultural Enterprises of Çumra Town of Konya Province

Fatal Agricultural Injuries in Pennsylvania, 2015-2017: A Comparative Analysis of Two Systems’ Data Collection Methods and Datasets

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