Rural Health
Resources by Topic: Injuries
Safety Leadership Training: Implementation and Effectiveness Evaluation in the Dairy Farm Industry
Highlights a study on the efficacy of evidence-based safety leadership training for dairy farm supervisors at improving safety measures on the farm. Breaks down data by safety hazards, workplace conflicts, and training satisfaction among supervisors.
Author(s): David I. Douphrate, Anabel Rodriguez, Pete Kines, et al.
Citation: Workplace Health & Safety, 73(6), 310-319
Date: 06/2025
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Highlights a study on the efficacy of evidence-based safety leadership training for dairy farm supervisors at improving safety measures on the farm. Breaks down data by safety hazards, workplace conflicts, and training satisfaction among supervisors.
Author(s): David I. Douphrate, Anabel Rodriguez, Pete Kines, et al.
Citation: Workplace Health & Safety, 73(6), 310-319
Date: 06/2025
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Nonfatal Injury Emergency Department Visits and Inpatient Hospitalizations Among Persons Under Age 65 With an Intellectual and Developmental Disability or Deaf or Hard of Hearing Disability
Analyzes disparities in emergency department and inpatient hospitalization among people with intellectual and developmental disabilities (IDD), people who are deaf or hard of hearing (DHH), and those without IDD or DHH. Utilizes Kentucky ED and inpatient discharge data from 2019 to 2023. Breaks down data by demographic category, including metropolitan or nonmetropolitan dwelling.
Author(s): Terry L. Bunn, Jacqueline Seals, Dana Quesinberry, Alaina Murphy, Julia F. Costich
Citation: Injury Epidemiology, 12, 27
Date: 05/2025
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Analyzes disparities in emergency department and inpatient hospitalization among people with intellectual and developmental disabilities (IDD), people who are deaf or hard of hearing (DHH), and those without IDD or DHH. Utilizes Kentucky ED and inpatient discharge data from 2019 to 2023. Breaks down data by demographic category, including metropolitan or nonmetropolitan dwelling.
Author(s): Terry L. Bunn, Jacqueline Seals, Dana Quesinberry, Alaina Murphy, Julia F. Costich
Citation: Injury Epidemiology, 12, 27
Date: 05/2025
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Effect of Dairy Farm Supervisor Leadership Training on Workplace Safety Climate
Explores a study on the efficacy of a e-learning safety leadership training program for front-line dairy farm supervisors at improving workplace safety. Breaks down participant data by age, years of experience, and number of workers supervised, among other measures.
Author(s): David I. Douphrate, Anabel Rodriguez, Amir Hossein Javid, Pete Kines
Citation: Workplace Health & Safety, 73(5), 227-235
Date: 05/2025
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Explores a study on the efficacy of a e-learning safety leadership training program for front-line dairy farm supervisors at improving workplace safety. Breaks down participant data by age, years of experience, and number of workers supervised, among other measures.
Author(s): David I. Douphrate, Anabel Rodriguez, Amir Hossein Javid, Pete Kines
Citation: Workplace Health & Safety, 73(5), 227-235
Date: 05/2025
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Traffic Safety Facts, 2023 Data: Passenger Vehicles
National data on traffic crashes involving passenger vehicles. Features statistics from 2020-2023 with breakdowns by vehicle type, time of day, fatalities, state, and rural or urban locations.
Date: 05/2025
Sponsoring organization: National Highway Traffic Safety Administration
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National data on traffic crashes involving passenger vehicles. Features statistics from 2020-2023 with breakdowns by vehicle type, time of day, fatalities, state, and rural or urban locations.
Date: 05/2025
Sponsoring organization: National Highway Traffic Safety Administration
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Using Partnerships and Multiple Data Sources to Surveil Agricultural Injuries: Considerations and Recommendations
Describes a partnership between a rural health system and university to monitor agricultural injuries in the upper Midwest. Discusses data gathering and using geographic information systems among partners. Offers recommendations to others considering a similar partnership.
Author(s): Elizabeth A Gilblom, Angela B. Johnson, Sheryl Sahr, Hilla I. Sang
Citation: Journal of Agromedicine, 29(2), 197-205
Date: 04/2025
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Describes a partnership between a rural health system and university to monitor agricultural injuries in the upper Midwest. Discusses data gathering and using geographic information systems among partners. Offers recommendations to others considering a similar partnership.
Author(s): Elizabeth A Gilblom, Angela B. Johnson, Sheryl Sahr, Hilla I. Sang
Citation: Journal of Agromedicine, 29(2), 197-205
Date: 04/2025
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Examining Contextual Differences in Suicide by Rural–Urban Designation and Military Status, 2009–2019: A Cross-Sectional Analysis of the National Violent Death Reporting System
Presents a study exploring the mental health and substance use of suicide decedents by rurality and military affiliation. Breaks down data by decedents' characteristics, such as sex, age, education, military/civilian status, and rural/urban location, among others.
Author(s): J. Priyanka Vakkalanka, Eliezer Santos Leon, Jon Davis, et al.
Citation: Injury Prevention, 31(2), 121-127
Date: 03/2025
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Presents a study exploring the mental health and substance use of suicide decedents by rurality and military affiliation. Breaks down data by decedents' characteristics, such as sex, age, education, military/civilian status, and rural/urban location, among others.
Author(s): J. Priyanka Vakkalanka, Eliezer Santos Leon, Jon Davis, et al.
Citation: Injury Prevention, 31(2), 121-127
Date: 03/2025
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Mortality Trends of Traumatic Brain Injuries in the Adult Population of the United States: A CDC WONDER Analysis from 1999 to 2020
Examines demographic disparities in traumatic brain injury (TBI) mortality, utilizing 1999-2020 CDC Wonder data of 1,026,185 TBI-related deaths. See Fig. 5 for data breakdowns by level of rurality and year.
Author(s): Muhammad Hamza Dawood, Yusra Fazli, Sejal Lund, et al.
Citation: BMC Public Health, 25, 482
Date: 02/2025
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Examines demographic disparities in traumatic brain injury (TBI) mortality, utilizing 1999-2020 CDC Wonder data of 1,026,185 TBI-related deaths. See Fig. 5 for data breakdowns by level of rurality and year.
Author(s): Muhammad Hamza Dawood, Yusra Fazli, Sejal Lund, et al.
Citation: BMC Public Health, 25, 482
Date: 02/2025
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Large Language Models for Agricultural Injury Surveillance
Describes the use of large language models (LLMs) in automating a previously manual agricultural injury surveillance workflow. Discusses reliability, accuracy, costs, and remaining challenges.
Author(s): Jacob Muller, Daniel Petti, Changying Li, et al.
Citation: Safety, 11(1), 15
Date: 02/2025
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Describes the use of large language models (LLMs) in automating a previously manual agricultural injury surveillance workflow. Discusses reliability, accuracy, costs, and remaining challenges.
Author(s): Jacob Muller, Daniel Petti, Changying Li, et al.
Citation: Safety, 11(1), 15
Date: 02/2025
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Texas Border Health Data Overview
Presentation slides providing data on population, noncommunicable disease, mental and behavioral health, maternal and child health, and injuries in Texas's border region. Includes data comparisons between border and non-border counties.
Author(s): Rhae Cisneros
Date: 02/2025
Sponsoring organization: Texas Health and Human Services
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Presentation slides providing data on population, noncommunicable disease, mental and behavioral health, maternal and child health, and injuries in Texas's border region. Includes data comparisons between border and non-border counties.
Author(s): Rhae Cisneros
Date: 02/2025
Sponsoring organization: Texas Health and Human Services
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Rural Health Disparities and Differences in Definitions of Rurality
Examines health disparities and differences in healthcare characteristics between rural and nonrural counties using data from the 2023 County Health Rankings and 2021-2022 Area Health Resources Files. Compares community health and healthcare characteristics by two county-level urban-rural classification systems: Rural-Urban Continuum Codes (RUCC) and Core Based Statistical Areas (CBSAs). Explores the degree to which four county-level classification systems - RUCC, CBSA, the National Center for Health Statistics (NCHS) Urban-Rural Classification Scheme for Counties, and Urban Influence Codes (UIC) - agree regarding which counties are designated as rural.
Date: 02/2025
Sponsoring organizations: HHS Office of the Assistant Secretary for Planning and Evaluation, NORC at the University of Chicago
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Examines health disparities and differences in healthcare characteristics between rural and nonrural counties using data from the 2023 County Health Rankings and 2021-2022 Area Health Resources Files. Compares community health and healthcare characteristics by two county-level urban-rural classification systems: Rural-Urban Continuum Codes (RUCC) and Core Based Statistical Areas (CBSAs). Explores the degree to which four county-level classification systems - RUCC, CBSA, the National Center for Health Statistics (NCHS) Urban-Rural Classification Scheme for Counties, and Urban Influence Codes (UIC) - agree regarding which counties are designated as rural.
Date: 02/2025
Sponsoring organizations: HHS Office of the Assistant Secretary for Planning and Evaluation, NORC at the University of Chicago
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