On the prevention of agricultural injuries in the Arsk region of the TASSR

In order to understand the causes of agricultural injuries and to outline measures to reduce it, since 1959 we have conducted records of all injuries at feldsher-obstetric points, in local hospitals and outpatient clinics, in a district hospital and a polyclinic. For all cases of injuries with loss of ability to work, trauma cards are filled out, cases of injuries without loss of ability to work were registered in a separate journal in a specific form.

Stakeholders’ Consumption of Agricultural Injury Reports from News Media: A Six-Year Analysis of Website Usage and Visitor Analytics

AgInjuryNews.org is a news report-based, online sentinel surveillance dataset that has provided publicly available news and media reports of agricultural injuries since early 2015. In the 6 years since its inception, AgInjuryNews.org has hosted 12,897 unique visitors and has collected 997 user account registrations. New users from geographic areas home to NIOSH-funded agricultural research centres were most prominent, with these centres returning in larger numbers, comparatively. Users were acquired mostly through web searches, collaborations with other agencies, and paid Facebook.com advertisements. Paid advertisements recruited 3792 visitors; however, retention, registrations, and on-site engagement from this source was low. This analysis shows that data consumption on AgInjuryNews.org is steadily growing. Similar self-hosted programs that provide data or digital resources to agricultural safety and health stakeholders should consider the integration of auditing and analytics tracking, including user registrations.

A Prospective Study of Profile of Agricultural Orthopaedic Injuries in North India in a Tertiary Care Centre

Background: Over time agriculture has transformed into an industry, both in scale andmechanization. Growing demand for agricultural yield and increasing mechanization has led togrowth in the numbers of agricultural accidents and injuries causing significant morbidity andeconomical loss. Aim: To study the causes, patterns, outcomes of injuries due to agriculturalaccidents, their effect on the productivity of the victims, and to suggest possible remedial measures,a prospective study was undertaken. Methods: A total of 106 patients reporting agricultural injuries(AI) over 14 months in 2019-20 were enrolled and data was recorded on a pre-structured proforma.Results: With the preponderance of male victims, educational status, skill levels, lighting & climaticconditions, intoxication and fatigue were found to be major determinants in the causation of injurieswith upper limbs being the predominantly involved part (75.47%) and most of the cases ended uprequiring some form of surgery (88.68%). Agricultural machinery (56.60%) was the main cause ofAI and Chaff Cutter Machine caused the maximum AI (37.73%). Amputations were the mostcommon injuries sustained (47.16%). Agricultural injuries affected the range of motion of body parts(32.07%) and work (58.49%) & household activities (49.05%); thus impairing work efficiency andeconomy. Conclusion: The present study highlights the need for a robust surveillance and dataanalysis leading to better design of farming machinery and equipment, more relevant education andtraining systems, stronger legislations as well as a comprehensive rehabilitative program aimed atreducing the socio-economic burden caused by agricultural injuries.

Cost, Severity and Prevalence of Agricultural-Related Injury Workers’ Compensation Claims in Farming Operations from 14 U.S. States

(1) Background: There is no national surveillance of agricultural injuries, despite agricultural occupations being among the most hazardous in the U.S. This effort uses workers’ compensation (WC) data to estimate the burden of agricultural injuries and the likelihood of experiencing an injury by body part involved, cause, and nature in farming operations. (2) Methods: WC data from 2010 to 2016 provided by a large insurance company covering small to medium-sized farm operations from 14 U.S. states was used. We investigated the associations between injury characteristics and WC costs and the risk of having a more severe versus a less severe claim. The proportion of costs attributable to specific claim types was calculated. (3) Results: Of a total 1000 claims, 67% were medical only. The total cost incurred by WC payable claims (n = 866) was USD 21.5 million. Of this, 96% was attributable to more severe claims resulting in disabilities or death. The most common body part injured was the distal upper extremity. Falling or flying objects and collisions were the most expensive and common causes of injury. (4) Conclusions: Characterizing the cost and severity of agricultural injury by key injury characteristics may be useful when prioritizing prevention efforts in partnership with insurance companies and agricultural operations.

An Overview of Agricultural Injuries in Florida from 2015-2019

Highlights We identified 48 fatal and 187 non-fatal agricultural injuries in Florida from 2015-2019. Vehicles and environmental sources were the two leading injury sources. Using multiple data sources helped us understand the at-risk populations. Abstract . The purpose of this study was to examine and describe fatal and non-fatal agricultural injuries documented in Florida. We used Occupational Safety and Health Administration (OSHA) data and AgInjuryNews.org (AIN) data from 2015 through 2019 to identify 48 fatal and 187 non-fatal injuries during the five-year study period, with 86% (40 fatal, 175 non-fatal) of these injuries being occupational. A total of 101 (43%) people were injured as a result of transportation incidents. Major injury sources were vehicles (46%) and environmental sources (heat, lightning, etc.) (14%). Using AIN data, we identified risks for youth under the age of 18 and for individuals age 65 and older. This study suggests the need for additional injury surveillance efforts to gather demographic information to identify at-risk populations. Keywords: Agriculture, Fatal, Injury, Surveillance, Transportation.