Rural Health
Resources by Topic: Rural-urban differences
Excess Natural-Cause Mortality in US Counties and Its Association with Reported COVID-19 Deaths
Evaluates excess deaths between March 2020 and August 2022 to determine how many may be attributable to COVID-19. Includes data break down across time, at the metropolitan and nonmetropolitan levels, and by Census division. Offers potential explanations for inaccurate counts and implications for public health policy.
Author(s): Eugenio Paglino, Dielle J. Lundberg, Andrew C. Stokes
Citation: PNAS, 121(6), e2313661121
Date: 02/2024
Type: Document
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Evaluates excess deaths between March 2020 and August 2022 to determine how many may be attributable to COVID-19. Includes data break down across time, at the metropolitan and nonmetropolitan levels, and by Census division. Offers potential explanations for inaccurate counts and implications for public health policy.
Author(s): Eugenio Paglino, Dielle J. Lundberg, Andrew C. Stokes
Citation: PNAS, 121(6), e2313661121
Date: 02/2024
Type: Document
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QuickStats: Percentage of Children and Adolescents Aged 5–17 Years Who Had Ever Received a Diagnosis of Attention-Deficit/Hyperactivity Disorder, by Urbanization Level and Age Group — National Health Interview Survey, United States, 2020–2022
Bar chart showing the percentage of children and adolescents aged 5-17 with a diagnosis of attention-deficit/hyperactivity disorder in metropolitan and nonmetro areas, overall and for the age groups 5-11 and 12-17.
Citation: MMWR (Morbidity and Mortality Weekly Report), 73(5), 116
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: Centers for Disease Control and Prevention
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Bar chart showing the percentage of children and adolescents aged 5-17 with a diagnosis of attention-deficit/hyperactivity disorder in metropolitan and nonmetro areas, overall and for the age groups 5-11 and 12-17.
Citation: MMWR (Morbidity and Mortality Weekly Report), 73(5), 116
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: Centers for Disease Control and Prevention
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Real-World Trends, Rural-Urban Differences, and Socioeconomic Disparities in Utilization of Narrow Versus Broad Next-Generation Sequencing Panels
Analyzes oncology genomic panel utilization of 9,886 subjects who received testing between January 2016 and June 2020. Provides data on test panel sizes and clinical trial matching status, with breakdowns by level of socioeconomic deprivation and rural or urban status. Describes trends in genomic testing, and discusses the significance of testing access to equity in cancer care.
Author(s): Yiqing Zhao, Anastasios Dimou, Zachary C. Fogarty, et al.
Citation: Cancer Research Communications, 4(2), 303-311
Date: 02/2024
Type: Document
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Analyzes oncology genomic panel utilization of 9,886 subjects who received testing between January 2016 and June 2020. Provides data on test panel sizes and clinical trial matching status, with breakdowns by level of socioeconomic deprivation and rural or urban status. Describes trends in genomic testing, and discusses the significance of testing access to equity in cancer care.
Author(s): Yiqing Zhao, Anastasios Dimou, Zachary C. Fogarty, et al.
Citation: Cancer Research Communications, 4(2), 303-311
Date: 02/2024
Type: Document
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Men's Health in Illinois: Metro Versus Nonmetro
Explores the differences in life expectancy and related health conditions of men and women in Illinois by providing health status and demographic data that is further broken down by metro and nonmetro location. Discusses gender equality and population health needs.
Author(s): Adee Athiyaman
Date: 02/2024
Type: Document
Sponsoring organization: Illinois Institute for Rural Affairs
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Explores the differences in life expectancy and related health conditions of men and women in Illinois by providing health status and demographic data that is further broken down by metro and nonmetro location. Discusses gender equality and population health needs.
Author(s): Adee Athiyaman
Date: 02/2024
Type: Document
Sponsoring organization: Illinois Institute for Rural Affairs
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COVID-19 and Mental Health in Ohio: Trends from 2017 to 2021
Analyzes mental health impairment (MHI) in Ohio residents in 2017, 2019, and 2021 to observe pandemic-related trends and disparities. Includes data breakdowns by sociodemographic characteristics, fiscal stability, health status indicators, insurance status, and Appalachian, metropolitan, rural non-Appalachian, or suburban location.
Author(s): Megan E. Roberts, Dushka Crane, Lauren Elliott-Dorans, et al.
Citation: Ohio Journal of Public Health, 6(1)
Date: 02/2024
Type: Document
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Analyzes mental health impairment (MHI) in Ohio residents in 2017, 2019, and 2021 to observe pandemic-related trends and disparities. Includes data breakdowns by sociodemographic characteristics, fiscal stability, health status indicators, insurance status, and Appalachian, metropolitan, rural non-Appalachian, or suburban location.
Author(s): Megan E. Roberts, Dushka Crane, Lauren Elliott-Dorans, et al.
Citation: Ohio Journal of Public Health, 6(1)
Date: 02/2024
Type: Document
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Availability of Mental Telehealth Services in the US
Examines availability, wait times, and service features of mental telehealth services across demographic and geographical characteristics. Analyzes mental health treatment facilities (MHTFs) across the U.S. and provides data on mental health conditions treated, types of services used, and facility and county characteristics of MHTFs, including metro versus nonmetro location.
Author(s): Jonathan Cantor, Megan S. Schuler, Samantha Matthews, et al.
Citation: JAMA Health Forum, 5(2)
Date: 02/2024
Type: Document
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Examines availability, wait times, and service features of mental telehealth services across demographic and geographical characteristics. Analyzes mental health treatment facilities (MHTFs) across the U.S. and provides data on mental health conditions treated, types of services used, and facility and county characteristics of MHTFs, including metro versus nonmetro location.
Author(s): Jonathan Cantor, Megan S. Schuler, Samantha Matthews, et al.
Citation: JAMA Health Forum, 5(2)
Date: 02/2024
Type: Document
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Impact of Driving Cessation on Health-Related Quality of Life Trajectories
Examines the impact of driving cessation (DC) in older drivers aged 65-79 on health-related quality of life (HRQoL) in rural and urban populations. Includes charts showing differences in HRQoL related to DC in metro core, metro non-core, and small town/rural areas. Discusses the impact of access to alternative transportation on mental health and HRQoL in older adults.
Author(s): Thelma J. Mielenz, Haomiao Jia, Carolyn DiGuiseppi, et al.
Citation: Health and Quality of Life Outcomes, 22, 13
Date: 02/2024
Type: Document
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Examines the impact of driving cessation (DC) in older drivers aged 65-79 on health-related quality of life (HRQoL) in rural and urban populations. Includes charts showing differences in HRQoL related to DC in metro core, metro non-core, and small town/rural areas. Discusses the impact of access to alternative transportation on mental health and HRQoL in older adults.
Author(s): Thelma J. Mielenz, Haomiao Jia, Carolyn DiGuiseppi, et al.
Citation: Health and Quality of Life Outcomes, 22, 13
Date: 02/2024
Type: Document
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Medicare Enrollees and the Part D Drug Benefit: Improving Financial Protection through the Low- Income Subsidy
Provides an overview of the Medicare Part D Low-Income Subsidy (LIS) program, which covers some or all Part D drug costs. Presents estimates of number of Medicare Part D enrollees who received LIS in 2020 and their characteristics, as well as Medicare beneficiaries who did and did not have prescription drug coverage but who appear to be eligible for LIS based on income and resources. Compares Medicare enrollees demographic, financial, health status, and healthcare utilization characteristics, including rurality.
Author(s): Yevgeniy Feyman, Joel Ruhter, Kenneth Finegold, et al.
Date: 02/2024
Type: Document
Sponsoring organization: HHS Office of the Assistant Secretary for Planning and Evaluation
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Provides an overview of the Medicare Part D Low-Income Subsidy (LIS) program, which covers some or all Part D drug costs. Presents estimates of number of Medicare Part D enrollees who received LIS in 2020 and their characteristics, as well as Medicare beneficiaries who did and did not have prescription drug coverage but who appear to be eligible for LIS based on income and resources. Compares Medicare enrollees demographic, financial, health status, and healthcare utilization characteristics, including rurality.
Author(s): Yevgeniy Feyman, Joel Ruhter, Kenneth Finegold, et al.
Date: 02/2024
Type: Document
Sponsoring organization: HHS Office of the Assistant Secretary for Planning and Evaluation
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Rural Cancer Disparities from Oklahoma Cancer and Vital Records Registries 2016-2020
Evaluates cancer disparities in Oklahoma counties using 2016-2020 Oklahoma State Department of Health data, with breakdowns by urban, large rural, and small rural setting. Provides statistics, including population characteristics, on cancer incidence, specific cancers, mortality, and stage of diagnosis. Highlights concerns related to insurance coverage, cancer screening, and treatment in rural areas.
Author(s): Janis E. Campbell, Ayesha B. Sambo, Lauri A. Hunsucker, Stephanie F. Pharr, Mark P. Doescher
Citation: Cancer Epidemiology, 88, 102512
Date: 02/2024
Type: Document
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Evaluates cancer disparities in Oklahoma counties using 2016-2020 Oklahoma State Department of Health data, with breakdowns by urban, large rural, and small rural setting. Provides statistics, including population characteristics, on cancer incidence, specific cancers, mortality, and stage of diagnosis. Highlights concerns related to insurance coverage, cancer screening, and treatment in rural areas.
Author(s): Janis E. Campbell, Ayesha B. Sambo, Lauri A. Hunsucker, Stephanie F. Pharr, Mark P. Doescher
Citation: Cancer Epidemiology, 88, 102512
Date: 02/2024
Type: Document
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Rural Areas Experienced Renewed Population Growth Following the COVID-19 Pandemic
Line chart showing population change between 1978 and 2022 for metropolitan and nonmetropolitan areas in addition to the U.S. total. Discusses impacts of COVID-19 pandemic.
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: USDA Economic Research Service
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Line chart showing population change between 1978 and 2022 for metropolitan and nonmetropolitan areas in addition to the U.S. total. Discusses impacts of COVID-19 pandemic.
Date: 02/2024
Type: Chart/Graph
Sponsoring organization: USDA Economic Research Service
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