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Rural Health
Resources by Topic: Injuries

Potentially Excess Deaths from the Five Leading Causes of Death in Metropolitan and Nonmetropolitan Counties — United States, 2010–2017
Reports on the rural-urban disparities regarding potentially preventable deaths caused by heart disease, cancer, unintentional injury, chronic lower respiratory disease (CLRD), and stroke for populations less than 80 years of age. Updates a January 2017 report on the same topic, with the new report using a 6-level urban-rural classification scheme and adding additional years and annual percentage change information.
Additional links: Supplementary Table 1: Number of Potentially Excess Deaths, by HHS Region and Urban-Rural Classification, Supplementary Table 2: Percentage of Potentially Excess Deaths, by HHS Region and Urban-Rural Classification, Supplementary Table 3: Number of Potentially Excess Deaths, by State for Metro and Nonmetro, Supplementary Table 4: Percentage of Potentially Excess Deaths, by State for Metro and Nonmetro
Author(s): Macarena C. Garcia, Lauren M. Rossen, Brigham Bastian, et al.
Citation: MMWR Surveillance Summaries, 68(10), 1-11
Date: 11/2019
Type: Document
Sponsoring organization: Centers for Disease Control and Prevention
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Risk Factors and Potentially Preventable Deaths in Rural Communities
Compares rates of potentially avoidable deaths in rural and urban communities and shows how these deaths vary by census region. Features statistics on modifiable risk factors, such as smoking, excessive alcohol use, and obesity, and percent of potentially preventable deaths attributable to specific health conditions, with breakdowns by rural and urban areas.
Author(s): Mark Holmes, Kristie W. Thompson
Date: 10/2019
Type: Document
Sponsoring organization: North Carolina Rural Health Research Program
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Overall and Cause-specific Mortality in a Cohort of Farmers and Their Spouses
Highlights a study examining the overall mortality rates of farmers and their families that participated in the Agricultural Health Survey in Iowa and North Carolina. Details participants by age, gender, education and smoking status, among other factors. Compares mortality rates to the general population.
Author(s): Srishti Shrestha, Christine G. Parks, Alexander P. Keil, et al.
Citation: Occupational and Environmental Medicine, 76(9), 632-643
Date: 09/2019
Type: Document
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Traumatic Injury and Access to Care in Rural Areas: Leveraging Linked Data and Geographic Information Systems for Planning and Advocacy
Analyzes county-level data representing traumatic injury rates in rural Colorado. Discusses challenges to trauma care in rural areas, including distance to trauma centers, rates of injury, prevention resources, EMS response times, and limited EMS capacity. Includes county-level maps showing transportation time to trauma centers, mortality rates, and hospitalization rates for traumatic injury.
Author(s): Paula Yuma, Rebecca Orsi, Julie Dunn, et al.
Citation: Rural Remote Health, 19(3), 5089
Date: 09/2019
Type: Document
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Looking Through a Different Lens: Patient Satisfaction With Telemedicine in Delivering Pediatric Fracture Care
Looks at patient satisfaction with telemedicine for pediatric fracture care based on a study conducted in rural central Pennsylvania. Compares satisfaction levels for real-time video consultation with a pediatric orthopedic surgeon facilitated by a physician's assistant to conventional outpatient clinic visits.
Author(s): Neha Sinha, Max Cornell, Benjamin Wheatley, et al.
Citation: JAAOS Global Research & Reviews, 3(9), e100
Date: 09/2019
Type: Document
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Violence Against Hospital Workers: Growing Awareness, Rural Interventions, and Why It Still Goes Unreported
Provides an overview of workplace violence in healthcare settings. Features rural hospitals in Oregon and Idaho that are undertaking a range of prevention activities addressing workplace violence. Also features research findings from a Michigan healthcare system study on the topic, and identifies resources and tools that rural hospital leaders can use to help protect hospital staff.
Author(s): Jenn Lukens
Citation: Rural Monitor
Date: 09/2019
Type: Document
Sponsoring organization: Rural Health Information Hub
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Urban-Rural Differences in Injury and Drug Overdose Death Rates: Data from the National Vital Statistics System
Webinar recording discusses two reports from the National Center for Health Statistics detailing mortality from injuries and opioids in rural versus urban areas. Features presentations by representatives from the National Center for Health Statistics.
Additional links: Audio Recording, PowerPoint Handout, Webinar Transcript
Date: 08/2019
Type: Video/Multimedia
Sponsoring organization: Rural Health Information Hub
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Have Healthy People 2020 Benchmarks for Leading Causes of Death Been Met in Rural and Urban Areas?
Presentation slides from an August 20, 2019 webinar, with analysis of death rates for 7 major causes of death, in light of Healthy People 2020 benchmarks. Features mortality statistics from 2007-2017 for diabetes, heart disease, suicide, cancer, stroke, unintentional injury, and chronic obstructive pulmonary disease, with breakdowns by gender, race, and region, with 6 levels of population density.
Author(s): Alva O. Ferdinand, Timothy Callaghan, Marvellous Akinlotan, Kristie Primm
Date: 08/2019
Type: Presentation Slides
Sponsoring organizations: Southwest Rural Health Research Center, Texas A&M Health Science Center
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Unintentional Injury Death Rates in Rural and Urban Areas: United States, 1999–2017
Examines trends in unintentional injury deaths from 1999 through 2017. Provides urban versus rural age-adjusted death rates related to motor vehicle traffic injuries, unintentional drug overdoses, and unintentional falls, with data for 2014 and 2017.
Author(s): R. Henry Olaisen, Lauren M. Rossen, Margaret Warner, Robert N. Anderson
Date: 07/2019
Type: Document
Sponsoring organization: National Center for Health Statistics
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Public Health Application of Predictive Modeling: An Example from Farm Vehicle Crashes
Estimates the risk of injury or death for farm vehicle accidents using predictive modeling for different scenarios. Identifies how the model could be used to improve public health.
Author(s): Shabbar I. Ranapurwala, Joseph E. Cavanaugh, Tracy Young, et al.
Citation: Injury Epidemiology, 6(31)
Date: 06/2019
Type: Document
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