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BackgroundSocial media platforms have experienced unprecedented levels of growth and usage over the past decade, with Facebook hosting 2.7 billion active users worldwide, including over 200 million users in the United States. Facebook users have been underutilized and understudied by the academic community as a resource for participant recruitment. ObjectiveWe performed a pilot study to explore the efficacy and cost-effectiveness of Facebook advertisements for the recruitment of an online agricultural health and safety survey. MethodsWe undertook a 1-week advertising campaign utilizing the integrated, targeted advertising platform of Facebook Ads Manager with a target-spending limit of US $294. We created and posted three advertisements depicting varying levels of agricultural safety adoption leading to a brief survey on farm demographics and safety attitudes. We targeted our advertisements toward farm mothers aged 21-50 years in the United States and determined cost-effectiveness and potential biases. No participant incentive was offered. ResultsWe reached 40,024 users and gathered 318 advertisement clicks. Twenty-nine participants consented to the survey with 24 completions. Including personnel costs, the cost per completed survey was US $17.42. Compared to the distribution of female producers in the United States, our advertisements were unexpectedly overrepresented in the eastern United States and were underrepresented in the western United States. ConclusionsFacebook Ads Manager represents a potentially cost-effective and timely method to recruit participants for online health and safety research when targeting a specific population. However, social media recruitment mirrors traditional recruitment methods in its limitations, exhibiting geographic, response, and self-selection biases that need to be addressed.

BackgroundInjuries related to the operation of off-road vehicles (ORVs), including all-terrain vehicles (ATVs), continue to be a significant public health concern, especially in rural and agricultural environments. In the United States alone, ATVs have played a role in thousands of fatalities and millions of injuries in the recent decades. However, no known centralized federal surveillance system consistently captures these data. Traditional injury data sources include surveys, police reports, trauma registries, emergency department data, newspaper and online media reports, and state and federal agency databases. ObjectiveThe objectives of this study paper were to (1) identify published articles on ORV-related injuries and deaths that used large databases and determine the types of datasets that were used, (2) examine and describe several national US-based surveillance systems that capture ORV-related injuries and fatalities, and (3) promote and provide support for the establishment of a federally-funded agricultural injury surveillance system. MethodsIn this study, we examined several national United States–based injury datasets, including the web-based AgInjuryNews, the Fatality Analysis Reporting System, databases compiled by the US Consumer Product Safety Commission, and the National Fatality Review Case Reporting System. ResultsOur review found that these data sources cannot provide a complete picture of the incidents or the circumstantial details needed to effectively inform ORV injury prevention efforts. This is particularly true with regard to ORV-related injuries in agricultural production. ConclusionsWe encourage the establishment of a federally funded national agricultural injury surveillance system. However, in lieu of this, use of multiple data sources will be necessary to provide a more complete picture of ORV- and other agriculture-related injuries and fatalities.

BackgroundMobile health (mHealth) technology dissemination has penetrated rural and urban areas alike. Yet, health care organization oversight and clinician adoption have not kept pace with patient use. mHealth could have a unique impact on health and quality of life for rural populations. If organizations are prepared to manage mHealth, clinicians may improve the quality of care for their patients, both rural and urban. However, many organizations are not yet prepared to prescribe or prohibit third-party mHealth technologies. ObjectiveThis study explored organizational readiness for rural mHealth adoption, the use of patient-reported data by clinical care teams, and potential impact on improving rural health care delivery. MethodsSemistructured, open-ended interviews were used to investigate clinicians’ current practices, motivators, and perceived barriers to their use of mHealth technologies in rural settings. ResultsA total of 13 clinicians were interviewed, and 53.8% (7/13) reported encouraging use of mHealth apps or wearable devices with rural patients. Perceived barriers to adoption were categorized into three primary themes: (1) personal (clinician), (2) patient, and (3) organizational. Organizational was most prominent, with subcodes of time, uniformity, and policy or direction. Thematic analysis revealed code-category linkages that identify the complex nature of a rural health care organization’s current climate from a clinician’s perspective. A thematic map was developed to visualize the flow from category to code. Identified linkages guided the development of a refined rural mHealth readiness model. ConclusionsClinicians (including physicians) have limited time for continuing education, research, or exploration of emerging technologies. Clinicians are motivated to learn more, but they need guidance through organization-led directives. Rural health care institutions should consider investing in mHealth analysis, tool development, and formal recommendations of sanctioned tools for clinicians to use with patients.

BackgroundMobile augmented reality (MAR) apps offer potential support for emergency responders in rural areas. ObjectiveIn this report, we described lessons learned from the development process of augmented reality (AR) Farm Mapping to Assist, Protect and Prepare Emergency Responders (MAPPER), a MAR app that provides emergency responders onsite information about the agricultural operation they enter. MethodsCross-platform frameworks were used to create AR MAPPER to accommodate budget constraints and overcome issues with markerless MAR technologies. Although the single codebase and Web technologies streamlined development, cross-device hardware limitations impacted location accuracy, lengthened the development cycle, and required regular updates to third-party libraries. ResultsA hybrid development approach of using Web-based technologies with native tie-ins for specialized components and enhanced performance cut time and costs. This also led to consistency across multiple platforms and ensured that there is only a single set of source files to modify for Android and iPhone operating systems. Meanwhile, active development was delayed by some major hurdles. Apple and Google both released new versions of their operating systems, and the Wikitude framework issued four major updates, each of which brought with it some important enhancements and also led to some new issues. ConclusionsDevelopers should consider single platform native development to benefit from platform-specific MAR implementations and to avoid development, testing, and maintenance costs associated with cross-platform implementation. Emergency response organizations may be more likely to utilize a single platform across the devices used by their command staff. This also reduces the benefits of cross-platform development. Furthermore, providing map-based, non-AR cross-platform apps for landowners, farmers, and ranchers would help improve and maintain data quality, which is crucial for the utility and user experience of MAR apps.

Generative Artificial Intelligence (AI) provides unprecedented opportunities to improve injury surveillance systems in many ways, including the curation and publication of information related to agricultural injuries and illnesses. This editorial explores the feasibility and implication of ChatGPT integration in an international sentinel agricultural injury surveillance system, AgInjuryNews, highlighting that AI integration may enhance workflows by reducing human and financial resources and increasing outputs. In the coming years, text intensive natural language reports in AgInjuryNews and similar systems could be a rich source for data for ChatGPT or other more customized and fine-tuned LLMs. By harnessing the capabilities of AI and NLP, teams could potentially streamline the process of data analysis, report generation, and public dissemination, ultimately contributing to improved agricultural injury prevention efforts, well beyond any manually driven efforts. [ABSTRACT FROM AUTHOR]

Suicides are increasing in U.S. youth, particularly in rural areas. The influence of farming, however, is unclear, as suicide rates are higher in individual adult farm workers, but lower in farming-reliant counties. Early recognition of suicidality (suicidal ideation, intent, or attempt) is a key element of prevention, but there are no prior studies comparing suicidality in farm vs. non-farm youth. The purpose of this study was to examine associations between farm/rural residence and suicidality. Medical records were reused from an existing cohort of child and adolescent patients under surveillance for agricultural injuries in a Wisconsin healthcare system. The sample included 2,010 youth who lived on farms and 51,900 youth who did not live on farms (57% rural). The outcome was medically attended suicidality in 2017–2022 per a composite of diagnoses for suicidal ideation, attempt, or intentional self-harm that presented to ambulatory, emergency, or inpatient care settings. Suicidality was observed in 0.8% of farm, 1.8% of non-farm rural, and 1.6% of non-farm non-rural youth. After covariate adjustment, farm youth had significantly lower odds of suicidality (adjusted odds ratio [aOR] [95% confidence interval; CI] = 0.55 [0.33, 0.91], P =.019), while non-farm rural youth had significantly greater odds of suicidality (aOR [CI] = 1.21 [1.05, 1.40], P =.007), relative to non-farm non-rural youth. Children and adolescents who live on farms are about half as likely to (medically) present for suicidality as compared to their non-farm counterparts, both rural and non-rural. Future research should identify causal suicide protection factors in farm youth. [ABSTRACT FROM AUTHOR]

The article supports the implementation of thermal imaging infrared sensor on skid steers for agricultural safety. It discusses the advantages of infrared technology, which relies on thermal remote sensing, in agricultural production practices. It proposes the standardization of infrared technology on skid steers, tractors and other agricultural equipment, as well as the retrofitting of machines with obstacle-detecting sensors on skid steers operating on farms to protect safety.

The article informs about realities of workers' compensation coverage for agricultural workers into the future of the COVID-19 Pandemic. Topics include states provide limited coverage to agricultural worked based on worker or employer characteristics; and Efforts to educate workers on signs of illness, promote reporting, and engage knowledgeable medical providers will ensure employees receive prompt compensation and benefits.

The article discusses how wearable technology protect youth and children on farms in agricultural settings. Topics include prominent traditional strategies to protect safety of children and young workers in agricultural settings are supervision adults watch children and young workers; and use of technology that automates separation of children and youth from dangerous agricultural risks may be effective than reliance on human behavior.

An editorial is presented on collaboration for the future of U.S. agricultural injury surveillance. Topics include e satisfaction in using injury data to drive important public health research and programming in the U.S. agriculture workforce; and Surveillance Working Group (SWG) has been adding volunteer members, while growing to meet the special demands of injury surveillance in this high-risk industry.

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. [ABSTRACT FROM AUTHOR]