Rural Health
Resources by Topic: Rural-urban differences
Rural–Urban Differences in Behavioral Outcomes among Adults with Lifetime History of Traumatic Brain Injury with Loss of Consciousness: 2016–2019 Ohio BRFSS
Examines associations among rurality, traumatic brain injury (TBI) with loss of consciousness (LOC), alcohol use, and mental health issues. Includes statistical breakdowns of participants according to sex, age, race, and location, based on data from 16,941 Ohio Behavioral Risk Factor Surveillance System (BRFSS) survey respondents. Discusses access to healthcare and mental health services in rural and urban locations.
Author(s): Robyn Feiss, John D. Corrigan, Kele Ding, et al.
Citation: International Journal of Environmental Research and Public Health, 19(3), 1678
Date: 02/2022
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Examines associations among rurality, traumatic brain injury (TBI) with loss of consciousness (LOC), alcohol use, and mental health issues. Includes statistical breakdowns of participants according to sex, age, race, and location, based on data from 16,941 Ohio Behavioral Risk Factor Surveillance System (BRFSS) survey respondents. Discusses access to healthcare and mental health services in rural and urban locations.
Author(s): Robyn Feiss, John D. Corrigan, Kele Ding, et al.
Citation: International Journal of Environmental Research and Public Health, 19(3), 1678
Date: 02/2022
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Quantifying Rural Disparity in Healthcare Utilization in the United States: Analysis of a Large Midwestern Healthcare System
Analyzes patient utilization of rural versus urban outpatient clinics. Explores electronic health record data from 474,674 adult patients from June 2018 to March 2019 across variables such as age, sex, race, ethnicity, smoking status, and health status. Includes statistics and discussion of clinic utilization in relation to rural healthcare disparities.
Author(s): Akua Nuako, Jingxia Liu, Giang Pham, et al.
Citation: PLoS ONE, 17(2)
Date: 02/2022
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Analyzes patient utilization of rural versus urban outpatient clinics. Explores electronic health record data from 474,674 adult patients from June 2018 to March 2019 across variables such as age, sex, race, ethnicity, smoking status, and health status. Includes statistics and discussion of clinic utilization in relation to rural healthcare disparities.
Author(s): Akua Nuako, Jingxia Liu, Giang Pham, et al.
Citation: PLoS ONE, 17(2)
Date: 02/2022
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Analysis of Vaccination Rates and New COVID-19 Infections by US County, July-August 2021
Research letter examining COVID-19 infection and vaccination rates during the third wave of the pandemic in July-August 2021. Offers county-level data maps and highlights differences in rural and urban vaccination rates and impacts of the wave on counties with lower vaccination rates.
Author(s): Diego F. Cuadros, DeWolfe Miller, Susanne Awad, Philip Coule, Neil J. MacKinnon
Citation: JAMA Network Open, 5(2), e2147915
Date: 02/2022
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Research letter examining COVID-19 infection and vaccination rates during the third wave of the pandemic in July-August 2021. Offers county-level data maps and highlights differences in rural and urban vaccination rates and impacts of the wave on counties with lower vaccination rates.
Author(s): Diego F. Cuadros, DeWolfe Miller, Susanne Awad, Philip Coule, Neil J. MacKinnon
Citation: JAMA Network Open, 5(2), e2147915
Date: 02/2022
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Social Determinants of Mortality of COVID-19 and Opioid Overdose in American Rural and Urban Counties
Highlights a study on the social determinants of health that correlate with high COVID-19 and opioid overdose mortality in rural and urban counties. Breaks down county data by median income, unemployment, and healthcare workforce, among other factors.
Author(s): Yuhui Zhu, Zhe Fei, Larissa J. Mooney, et al.
Citation: Journal of Addiction Medicine, 16(1), e52-e55
Date: 02/2022
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Highlights a study on the social determinants of health that correlate with high COVID-19 and opioid overdose mortality in rural and urban counties. Breaks down county data by median income, unemployment, and healthcare workforce, among other factors.
Author(s): Yuhui Zhu, Zhe Fei, Larissa J. Mooney, et al.
Citation: Journal of Addiction Medicine, 16(1), e52-e55
Date: 02/2022
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Outpatient Telehealth Use Soared Early in the COVID-19 Pandemic but Has since Receded
Brief examining outpatient telehealth visits from March 2019 to August 2021 based on a data set that includes over 126 million patients from 889 hospitals and 19,320 clinics nationwide. Covers changes in telehealth use during the pandemic, telehealth use by age group and sex, rural and urban rates of telehealth use, and telehealth use for management of chronic conditions. Discusses impacts on healthcare access, cost, quality, and outcomes, as well as policy implications.
Author(s): Justin Lo, Matthew Rae, Krutika Ann, Cynthia Cox
Date: 02/2022
Sponsoring organizations: KFF, Peterson Center on Healthcare
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Brief examining outpatient telehealth visits from March 2019 to August 2021 based on a data set that includes over 126 million patients from 889 hospitals and 19,320 clinics nationwide. Covers changes in telehealth use during the pandemic, telehealth use by age group and sex, rural and urban rates of telehealth use, and telehealth use for management of chronic conditions. Discusses impacts on healthcare access, cost, quality, and outcomes, as well as policy implications.
Author(s): Justin Lo, Matthew Rae, Krutika Ann, Cynthia Cox
Date: 02/2022
Sponsoring organizations: KFF, Peterson Center on Healthcare
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Estimating Mortality from Coal Workers' Pneumoconiosis Among Medicare Beneficiaries with Pneumoconiosis Using Binary Regressions for Spatially Sparse Data
Results of a study to estimate the excess risk associated with mortality from various pneumoconioses among Medicare beneficiaries and to assess how the combined individual and county‐level factors contribute to the increased mortality risk of coal workers' pneumoconiosis. Uses data from 2011-2014 and features statistics with breakdowns by rural and non-rural locations.
Author(s): Rajib Paul, Oluwaseun Adeyemi, Ahmed A. Arif
Citation: American Journal of Industrial Medicine, 2022, 1-6
Date: 02/2022
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Results of a study to estimate the excess risk associated with mortality from various pneumoconioses among Medicare beneficiaries and to assess how the combined individual and county‐level factors contribute to the increased mortality risk of coal workers' pneumoconiosis. Uses data from 2011-2014 and features statistics with breakdowns by rural and non-rural locations.
Author(s): Rajib Paul, Oluwaseun Adeyemi, Ahmed A. Arif
Citation: American Journal of Industrial Medicine, 2022, 1-6
Date: 02/2022
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The Problem Of The Color Line: Spatial Access To Hospital Services For Minoritized Racial And Ethnic Groups
Study examining healthcare access by race and geography, covering distances to hospital services for minoritized ZIP Code Tabulation Areas (ZTCAs). Discusses factors that lead to disparities in access for rural minority communities, including policy, rural hospital closures, and safety-net program issues.
Additional links: Story Map: The Problem Of The Color Line
Author(s): Jan M. Eberth, Peiyin Hung, Gabriel A. Benavidez, et al.
Citation: Health Affairs, 41(2), 237-246
Date: 02/2022
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Study examining healthcare access by race and geography, covering distances to hospital services for minoritized ZIP Code Tabulation Areas (ZTCAs). Discusses factors that lead to disparities in access for rural minority communities, including policy, rural hospital closures, and safety-net program issues.
Additional links: Story Map: The Problem Of The Color Line
Author(s): Jan M. Eberth, Peiyin Hung, Gabriel A. Benavidez, et al.
Citation: Health Affairs, 41(2), 237-246
Date: 02/2022
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Rural Working-Age Adults Report Worse Health Than Their Urban Peers
Examines differences in self-rated physical health among residents of large urban counties, medium/small urban counties, metro-adjacent counties, and remote rural counties. Uses data from a survey of approximately 4,000 U.S. adults ages 18-64, conducted in February-March 2021.
Author(s): Shannon M. Monnat, Danielle C. Rhubart
Date: 02/2022
Sponsoring organization: Lerner Center for Public Health Promotion
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Examines differences in self-rated physical health among residents of large urban counties, medium/small urban counties, metro-adjacent counties, and remote rural counties. Uses data from a survey of approximately 4,000 U.S. adults ages 18-64, conducted in February-March 2021.
Author(s): Shannon M. Monnat, Danielle C. Rhubart
Date: 02/2022
Sponsoring organization: Lerner Center for Public Health Promotion
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Using Machine Learning to Identify Factors Associated with Practice Location of the Healthcare Workforce
Results of a study applying machine learning techniques to identify factors predicting the decision of physicians, nurses, dentists, and pharmacists to practice in a rural area. Uses data sets collected by the Utah Medical Education Council in 2014, 2016, and 2017. Features statistics with breakdowns by rural and non-rural location.
Author(s): Jerry Bounsanga, Martin S. Lipsky, Eric S. Hon, et al.
Citation: Rural and Remote Health, 22(1), 7050
Date: 02/2022
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Results of a study applying machine learning techniques to identify factors predicting the decision of physicians, nurses, dentists, and pharmacists to practice in a rural area. Uses data sets collected by the Utah Medical Education Council in 2014, 2016, and 2017. Features statistics with breakdowns by rural and non-rural location.
Author(s): Jerry Bounsanga, Martin S. Lipsky, Eric S. Hon, et al.
Citation: Rural and Remote Health, 22(1), 7050
Date: 02/2022
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Vaccination Rates are Higher in U.S. Metro than in Nonmetro Counties, While the Gap Between Persistently Poor Counties and Counties that are not Persistently Poor is Closing
Chart depicting COVID-19 vaccination rates between January 2021-January 2022 for metro and nonmetro counties that are persistently and not persistently poor.
Date: 02/2022
Sponsoring organization: USDA Economic Research Service
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Chart depicting COVID-19 vaccination rates between January 2021-January 2022 for metro and nonmetro counties that are persistently and not persistently poor.
Date: 02/2022
Sponsoring organization: USDA Economic Research Service
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