Rural Health
Resources by Type: Document
Motor Vehicle Crashes, Medical Outcomes, and Hospital Charges Among Children Aged 1-12 Years - Crash Outcome Data Evaluation System, 11 States, 2005-2008
Reports on age- and size-appropriate restraint use for children involved in motor vehicle accidents, based on data from 11 states. Lists restraint use for different age groups by the location of the crash in rural compared to urban areas.
Author(s): Erin K. Sauber-Schatz, Andrea M. Thomas, Lawrence J. Cook
Citation: MMWR Surveillance Summaries, 64(SS08), 1-32
Date: 10/2015
Sponsoring organization: Centers for Disease Control and Prevention
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Reports on age- and size-appropriate restraint use for children involved in motor vehicle accidents, based on data from 11 states. Lists restraint use for different age groups by the location of the crash in rural compared to urban areas.
Author(s): Erin K. Sauber-Schatz, Andrea M. Thomas, Lawrence J. Cook
Citation: MMWR Surveillance Summaries, 64(SS08), 1-32
Date: 10/2015
Sponsoring organization: Centers for Disease Control and Prevention
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Hospital Value-based Purchasing: Initial Results Show Modest Effects on Medicare Payments and No Apparent Change in Quality-of-Care Trends
Evaluates the initial effects of the Hospital Value-based Purchasing (HVBP) program on Medicare bonus payments and penalties, the quality of care provided, and selected quality improvement efforts during FY 2013-15. Analyzes data from safety net, small urban, and small rural hospitals.
Additional links: Full Report
Date: 10/2015
Sponsoring organization: Government Accountability Office
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Evaluates the initial effects of the Hospital Value-based Purchasing (HVBP) program on Medicare bonus payments and penalties, the quality of care provided, and selected quality improvement efforts during FY 2013-15. Analyzes data from safety net, small urban, and small rural hospitals.
Additional links: Full Report
Date: 10/2015
Sponsoring organization: Government Accountability Office
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A Cross-Sectional Study on Health Differences Between Rural and Non-Rural U.S. Counties Using the County Health Rankings
Examines the rural and urban differences in health and healthcare within the U.S. using data accessed from the 2013 County Health Rankings and Roadmaps. Vital health factors evaluated include mortality, morbidity, health behaviors, clinical care, social and economic factors, and the physical environment.
Author(s): Timothy J. Anderson, Daniel M. Saman, Martin S. Lipsky, M. Nawal Lutfiyya
Citation: BMC Health Services Research, 15, 441
Date: 10/2015
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Examines the rural and urban differences in health and healthcare within the U.S. using data accessed from the 2013 County Health Rankings and Roadmaps. Vital health factors evaluated include mortality, morbidity, health behaviors, clinical care, social and economic factors, and the physical environment.
Author(s): Timothy J. Anderson, Daniel M. Saman, Martin S. Lipsky, M. Nawal Lutfiyya
Citation: BMC Health Services Research, 15, 441
Date: 10/2015
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Community Capitals Framework as a Measure of Community Development
Discusses the Community Capitals Framework as a strategic planning and measurement approach to evaluate community development efforts. Focuses on how to consider the 7 types of capital--natural, cultural, human, social, political, financial, and built--when investing in rural communities.
Author(s): Daniela Mattos
Date: 09/2015
Sponsoring organization: UNL Institute of Agriculture and Natural Resources
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Discusses the Community Capitals Framework as a strategic planning and measurement approach to evaluate community development efforts. Focuses on how to consider the 7 types of capital--natural, cultural, human, social, political, financial, and built--when investing in rural communities.
Author(s): Daniela Mattos
Date: 09/2015
Sponsoring organization: UNL Institute of Agriculture and Natural Resources
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Delay Discounting and Self-Reported Impulsivity in Adolescent Smokers and Nonsmokers Living in Rural Appalachia
Examines whether impulsivity is associated with adolescent smoking status in rural Appalachian regions of Ohio and Kentucky. Impulsivity data was collected for two measures, delay discounting and the Barratt Impulsiveness Scale 11, through self-reported assessments. Includes demographic data on adolescent smokers and nonsmokers by number of cigarettes per day, number of friends who smoke, whether their closest friend smokes, and if at least one parent smokes.
Author(s): Russell Lewis, Millie Harris, Stacey A. Slone, Brent J. Shelton, Brady Reynolds
Citation: The American Journal on Addictions, 24(6), 492-494
Date: 09/2015
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Examines whether impulsivity is associated with adolescent smoking status in rural Appalachian regions of Ohio and Kentucky. Impulsivity data was collected for two measures, delay discounting and the Barratt Impulsiveness Scale 11, through self-reported assessments. Includes demographic data on adolescent smokers and nonsmokers by number of cigarettes per day, number of friends who smoke, whether their closest friend smokes, and if at least one parent smokes.
Author(s): Russell Lewis, Millie Harris, Stacey A. Slone, Brent J. Shelton, Brady Reynolds
Citation: The American Journal on Addictions, 24(6), 492-494
Date: 09/2015
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Not Just an Urban Phenomenon: Uninsured Rural Trauma Patients at Increased Risk for Mortality
Examines major trauma centers serving rural states to determine if rural uninsured patients have an increased risk of traumatic death. Includes data by type of insurance and rurality.
Author(s): Azeemuddin Ahmed, Karisa K. Harland, Bryce Hoffman, et al.
Citation: Western Journal of Emergency Medicine, 16(5), 632-641
Date: 09/2015
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Examines major trauma centers serving rural states to determine if rural uninsured patients have an increased risk of traumatic death. Includes data by type of insurance and rurality.
Author(s): Azeemuddin Ahmed, Karisa K. Harland, Bryce Hoffman, et al.
Citation: Western Journal of Emergency Medicine, 16(5), 632-641
Date: 09/2015
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Comparison of Asthma Prevalence Among African American Teenage Youth Attending Public High Schools in Rural Georgia and Urban Detroit
Compares the prevalence of asthma among African American youth in rural Georgia and Detroit, Michigan. Examines potential contributing factors for asthma, including rural-urban residence, socioeconomic status, and ancestry.
Author(s): Dennis R. Ownby, Martha S. Tingen, Suzanne Havstad, et al.
Citation: Journal of Allergy and Clinical Immunology, 136(3), 595-600.e3
Date: 09/2015
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Compares the prevalence of asthma among African American youth in rural Georgia and Detroit, Michigan. Examines potential contributing factors for asthma, including rural-urban residence, socioeconomic status, and ancestry.
Author(s): Dennis R. Ownby, Martha S. Tingen, Suzanne Havstad, et al.
Citation: Journal of Allergy and Clinical Immunology, 136(3), 595-600.e3
Date: 09/2015
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Individual and Neighborhood Predictors of Mortality among HIV-Positive Latinos with History of Injection Drug Use, Florida, 2000–2011
Examines individual and neighborhood predictors of mortality in HIV-positive Latinos with a history of injection drug use (IDU) in Florida. Provides demographic and other information on individuals age 13 and older diagnosed with HIV, with data for those with and without a history of IDU. Offers zip code-level characteristics, including rural/urban location. Includes implications for targeting prevention strategies in rural areas.
Author(s): Diana M. Sheehan, Mary Jo Trepka, Kristopher P. Fennie, et al.
Citation: Drug and Alcohol Dependence, 154, 243-250
Date: 09/2015
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Examines individual and neighborhood predictors of mortality in HIV-positive Latinos with a history of injection drug use (IDU) in Florida. Provides demographic and other information on individuals age 13 and older diagnosed with HIV, with data for those with and without a history of IDU. Offers zip code-level characteristics, including rural/urban location. Includes implications for targeting prevention strategies in rural areas.
Author(s): Diana M. Sheehan, Mary Jo Trepka, Kristopher P. Fennie, et al.
Citation: Drug and Alcohol Dependence, 154, 243-250
Date: 09/2015
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Comparison of Coliform Contamination in Non-Municipal Waters Consumed by the Mennonite Versus the Non-Mennonite Rural Populations
Determines the risk of Escherichia coli exposure from consuming non-municipal water sources by Mennonite and non-Mennonite rural households. Includes Mennonite and non-Mennonite data by season, water quality, health risk, and contaminant level.
Author(s): Alok Ravindra Amraotkar, Charles William Hargis, Alexander C. Cambon, et al.
Citation: Environmental Health and Preventive Medicine, 20(5), 338-346
Date: 09/2015
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Determines the risk of Escherichia coli exposure from consuming non-municipal water sources by Mennonite and non-Mennonite rural households. Includes Mennonite and non-Mennonite data by season, water quality, health risk, and contaminant level.
Author(s): Alok Ravindra Amraotkar, Charles William Hargis, Alexander C. Cambon, et al.
Citation: Environmental Health and Preventive Medicine, 20(5), 338-346
Date: 09/2015
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Evaluating Adverse Rural Crash Outcomes Using the NHTSA State Data System
Evaluates individual factors associated with severe injury and death after injury has occurred in rural motor vehicle crashes. Analyzes data from the National Highway Traffic Safety Administration and police-reported crashes in 11 states. Includes information on injury severity by rural versus urban location, age, driver or passenger, seat belt use, time of crash, and factors influencing the crash.
Author(s): Christine Peura, Joseph A. Kilch, David E. Clark
Citation: Accident Analysis & Prevention, 82, 257-262
Date: 09/2015
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Evaluates individual factors associated with severe injury and death after injury has occurred in rural motor vehicle crashes. Analyzes data from the National Highway Traffic Safety Administration and police-reported crashes in 11 states. Includes information on injury severity by rural versus urban location, age, driver or passenger, seat belt use, time of crash, and factors influencing the crash.
Author(s): Christine Peura, Joseph A. Kilch, David E. Clark
Citation: Accident Analysis & Prevention, 82, 257-262
Date: 09/2015
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