Background Agriculture, forestry, fishing and hunting industry is the most hazardous occupational sector in the USA. Even with this level of occupational risk, several national and state-level occupational injury surveillance programmes have been eliminated, leaving regional efforts to analyse multiple sources and compile data on agricultural injuries and fatalities. No up-to-date centralised national database for agricultural injuries/fatalities in the USA currently exists. Objective Using the public data on AgInjuryNews.org, this study considered a wide range of variables to examine fatalities and injuries of the industry in 2015 and 2016. The results reported in this paper sought to explore and understand common data elements of US news reports. Methods As of 5 April 2017, more than 3000 articles across 36 years were contained in the dataset. We selected 2 years to review, 2015 and 2016, which represented the most complete years to date; 2015 was the first year in which systematic collection was initiated by the AgInjuryNews.org team. Data were coded based on the Occupational Injury and Illness Classification System source and event/exposure types. Results A total of 1345 victims were involved in 1044 incidents. Leading sources of injuries were vehicles and machinery, and the most common event/exposure type was transportation. Conclusions This study demonstrated that data from AgInjuryNew.org is consistent with previous literature, and it can supply up-to-date data as an open-source surveillance supplement, disseminated for health and safety stakeholders.

Surveillance of injuries in production agriculture is necessary to inform stakeholders about workplace hazards and risks in order to improve and advance injury prevention policies and practices for this dangerous industry. The most comprehensive fatal injury surveillance effort currently in the United States is the Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI), which covers occupational fatalities in all U.S. industries, including production agriculture. However, this surveillance does not include many categories of fatalities that occur during agricultural work or on production agriculture worksites. To better capture the human cost of production agriculture, the authors of this paper call for the collection of additional data with a broader scope that supplements, not replaces, the current CFOI. This paper describes challenges in surveillance, highlights key procedural gaps, and offers recommendations for advancing national surveillance of fatal traumatic injuries associated with production agriculture.

Amid concerns of inadequate medical supplies and staffing anticipated from a surge in COVID-19 cases, many health care systems across the United States (U.S.) began shutting down non-essential patient services in March 2020. These sudden shifts bring up questions about the long-term effects of COVID-19 on already fragile rural health care systems and the ability of rural populations, including farmers and farm workers, to meet their health care needs. To provide alternative and safe access to health care, the Federal government relaxed telehealth regulations, which effectively removed some of the largest regulatory barriers that had limited the adoption of telehealth in the U.S. In this commentary, we draw on the example of the Marshfield Clinic Health System (MCHS), a large rural health care system in Wisconsin and provide an early assessment of how it adjusted its telehealth services during the early months of COVID-19. While the long-term effects of the pandemic on rural health care systems will not be known for some time, the example of MCHS points to the importance of on-going and sustained investments to support the resilience of health care systems and their ability to weather crises. With early evidence that MCHS patients and practitioners are interested in continuing to use telehealth post-COVID-19, we conclude our commentary by offering three recommendations to remove hurdles and improve quality of telehealth care.

Background: The hazardous nature of the agricultural environment, reflected in the numerous injuries and deaths to children who live, work and play on farms, coupled with the lack of a comprehensive national surveillance system in the United States, highlights the need for making the best use of publicly available youth agricultural injury data. Objective: The purpose of this study was to describe a 3-year collection of youth agricultural injuries using the publicly available injury and fatality data from AgInjuryNews.org and present recommendations for future injury prevention strategies. Methods: Data were obtained from AgInjuryNews.org, a web-based collection of U.S. news reports of agricultural injuries. We analyzed cases from 2015 to 2017 for youth aged 0–17. We classified injuries as occupational and non-occupational related, based on the Farm and Agricultural Injury Classification (FAIC) code. Each case was also coded for source and event using the Occupational Injury and Illness Classification System (OIICS). Results: Of the 348 injury reports reviewed, 51% were fatal, and about one-third of the victims were 6 years old or younger. Most injuries were non-occupational, and the most frequent injury sources were vehicles (includes tractors and all-terrain vehicles) and machinery. Youth operators, extra riders, roadway operations, and unsupervised youth playing near or in a worksite were four key contributing factors associated with vehicle and machinery related injuries. Conclusions: This study reaffirms that youth agricultural-related injuries and fatalities are still a persistent problem in the United States. The hypothesis generating AgInjuryNews system can provide more current data than traditional surveillance datasets as a tool for understanding the sources of youth agricultural injuries, monitoring injury trends, and informing policy efforts and prevention strategies. Future studies should continue to explore and evaluate the comprehensiveness of this system’s data and the impact of its dissemination, as well as similar rural health informatics solutions for integration into sustainable interventions that can be customized and delivered domestically and abroad.