Barriers and Facilitators Impacting Lung Cancer Screening Uptake Among Black Veterans: A Qualitative Study.

BACKGROUND: Racial disparities in lung cancer screening (LCS) are well established. Black Veterans are among those at the highest risk for developing lung cancer but are less likely to complete LCS. We sought to identify barriers and facilitators to LCS uptake among Black Veterans. PATIENTS AND METHODS: A qualitative study using semistructured interviews was conducted with 32 Black Veterans to assess for barriers, facilitators, and contextual factors for LCS and strategies to improve screening. Veterans were purposively sampled by age, sex, and LCS participation status (ie, patients who received a low-dose CT [LDCT], patients who contacted the screening program but did not receive an LDCT, and patients who did not connect with the screening program nor receive an LDCT). Interview guides were developed using the Theoretical Domains Framework and Health Belief Model. Data were analyzed using rapid qualitative analysis. RESULTS: Barriers of LCS uptake among Black Veterans include self-reported low LCS knowledge and poor memory, attention, and decision processes associated with the centralized LCS process. Facilitators of LCS uptake among Black Veterans include social/professional role; identity and social influences; perceived susceptibility, threat, and consequences due to smoking status and military or occupational exposures; emotion, behavioral regulation, and intentions; and high trust in providers. Environmental context and resources (eg, transportation) and race and racism serve as contextual factors that did not emerge as having a major impact on LCS uptake. Strategies to improve LCS uptake included increased social messaging surrounding LCS, various forms of information dissemination, LCS reminders, balanced and repeated shared decision-making discussions, and streamlined referrals. CONCLUSIONS: We identified addressable barriers and facilitators for LCS uptake among Black Veterans that can help focus efforts to improve disparities in screening. Future studies should explore provider perspectives and test interventions to improve equity in LCS.

Tractor Injuries in the Upper Midwestern United States: a retrospective analysis of four trauma centers.

OBJECTIVES: The purpose of the present study was to characterize the incidence, injury characteristics, and outcomes of patients presented to four trauma facilities located in the upper Midwest with tractor-related agricultural injuries. METHODS: We performed a retrospective review of the facility level trauma registries of four trauma centers located in North Dakota, South Dakota, and Minnesota between January 1, 2010 and December 31, 2021. We characterized the incidence, severity and outcomes of traumatic tractor-related agricultural injuries for pediatric and adult patients. We described the nature of these injuries by severity, anatomical site, type, age, sex, and length of stay (LoS). Injury severity was evaluated using Injury Severity Score (ISS) and Abbreviated Injury Scale (AIS). RESULTS: Findings indicated that farmers aged 65 and older experience polytraumatic, severe tractor-related agricultural injuries and fatalities. Of the 177 tractor patients analyzed, 40 patients were between the ages of 65 and 74 years and 45 patients were 75 and over. Male farmers aged 65 and older are injured year-round, many are discharged to skilled nursing facilities for additional care, are spending more time in the hospital, and have the highest rate of critical injuries out of all age groups. Moreover, the patients who died as a result of tractor-related agricultural injuries were men over 65 years. The most common tractor-related agricultural injuries include falls from tractors (n = 53), struck by object falling/propelled from tractor (n = 25), rollovers (n = 26), and runovers (n = 24). Falls from tractors accounted for 33% of all tractor-related upper extremity fractures, 36% of head injuries and 29% of chest injuries. CONCLUSION: The findings from this study indicate that tractor-related agricultural injuries represent a significant problem in the upper Midwest. Older, male farm workers experience a higher incidence of tractor-related agricultural injuries, and all tractor-related fatalities occurred in individuals 65 years of age and older. These results underscore the need for further investigation into aging-related farm safety issues.

Using Partnerships and Multiple Data Sources to Surveil Agricultural Injuries: Considerations and Recommendations.

This article describes an interprofessional collaboration between Sanford Health and North Dakota State University that strengthens agricultural injury surveillance in the upper Midwest by using multiple sources of health data and geographic information systems (GIS) technology. We provide methodological insights and considerations for using and combining facility-level trauma registry (FLTR) data, national data sets, and GIS to identify areas with disproportionate agricultural injury prevalence. Additionally, we discuss the benefits of FLTR data, how and why it is collected, the data it contains, and how it can be combined with national datasets to fill-in surveillance gaps. Lastly, we offer recommendations for building cross-institutional and interprofessional partnerships.

Children and youth agricultural injuries: A retrospective analysis of pediatric trauma admissions in North Dakota.

Introduction: Farm children and youths face unique health risks, including increased risk of agricultural injuries (AI), due to the hazardous machinery, structures and animals on their residential environment. As a result, they experience more severe and complex polytraumatic injuries and longer hospital stays compared to those children injured in homes or residences. A major barrier to the prevention of AI among children and youth residing on farms is a lack of analytic studies about the magnitude and characteristics of these injuries, especially in North Dakota. Methods: We performed a retrospective review of the Sanford Medical Center Fargo trauma registry for pediatric patients (aged 0-19 years) who received care between January 2010 and December 2020 for AI. Patients were grouped for analysis by the age categories of the Agricultural Youth Work Guidelines (AYWG) to compare the mechanisms of injury with the recommended minimum age requirements for specific farm tasks. Results: Of the 41 patients, 26 were male. Mean age was 11 years and one death was reported. The most common mechanism of injury was animals (37%), followed by falls (20%) and machinery (17%). Children under 6 years and youth aged 16 to 19 had the highest number of injuries. Females experienced 53% of animal-related injuries and males accounted for all vehicle-related injuries. Conclusion: The incidence and severity of polytraumatic AI among young children in North Dakota is concerning. Our results underscore the continued need to pursue pediatric injury prevention on farms through educational resources and programs, including the AWYG. Practical applications: Parents require more training on age and ability appropriate farm tasks, especially animal-related interactions. It is imperative that families are given the education and training necessary to integrate children into the farm life while protecting them from injury.

Farm Machinery Injuries: A Retrospective Analysis of Admissions at a Level I Trauma Center in North Dakota.

OBJECTIVES: The purpose of the present study was to characterize the incidence, injury characteristics, and outcomes of patients presented to a Level I adult trauma center in Fargo, North Dakota, with farm machinery injuries (FMI). METHODS: We performed a retrospective review of the trauma registry of Sanford Medical Center Fargo (SMCF) between January 2010 and December 2020. We compared admission characteristics of FMI admissions to non-FMI admissions, identified the types of machinery that are most commonly associated with FMI, and described the nature of these injuries by severity, anatomical site, type, age, sex, and length of stay (LoS). Injury severity was evaluated using Injury Severity Score (ISS). RESULTS: Findings indicated that FMI admissions had a higher mean ISS, longer ICU LoS, and a higher mortality rate than non-FMI admissions. The leading cause of fatal and non-fatal FMI in this region are tractors. Males experience 91.2% of tractor injuries, and individuals 65 and over account for nearly 53% of all tractor injuries (n = 18). Males accounted for all deaths, tractor and otherwise. The "other machinery" category was the second most common category and accounted for 50% of female patients. Additionally, 24.5% of all FMI are related to machine maintenance. CONCLUSION: The findings from this study indicate that FMI injuries represent a significant problem in the upper Midwest. Older, male farm workers experience a higher incidence of tractor-related injuries, and all tractor-related deaths occurred in individuals 65 years of age and older. These results underscore the need for further investigation into aging-related farm safety issues.