Rural Health
Resources by Topic: Rural-urban differences
Geographic and Sociodemographic Factors and Receipt of Metabolic Disease Specialty Care
Examines geographic and sociodemographic factors that impact access to specialty metabolic care in rural areas. Utilizes data from 9,546 adults with chronic health conditions in Pennsylvania and provides data on receipt of endocrinology and cardiology care according to patient demographics, neighborhood characteristics, and location of urban, large rural town, or small rural town. Includes maps showing driving distance to care centers.
Author(s): Margaret F. Zupa, Scott D. Rothenberger, Jessica G. Bauer, et al.
Citation: JAMA Network Open, 8(5)
Date: 05/2025
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Examines geographic and sociodemographic factors that impact access to specialty metabolic care in rural areas. Utilizes data from 9,546 adults with chronic health conditions in Pennsylvania and provides data on receipt of endocrinology and cardiology care according to patient demographics, neighborhood characteristics, and location of urban, large rural town, or small rural town. Includes maps showing driving distance to care centers.
Author(s): Margaret F. Zupa, Scott D. Rothenberger, Jessica G. Bauer, et al.
Citation: JAMA Network Open, 8(5)
Date: 05/2025
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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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Arkansas All-Payer Claims Database Analysis of Hepatitis C
Reports on Hepatitis C diagnosis, treatment, screening, and other clinical and population-based data in Arkansas in 2021, utilizing Arkansas All-Payer Claims Database (APCD) and Arkansas Department of Health data. See Table 1 and Appendix B for demographic data on individuals with health insurance diagnosed with Hepatitis C broken down by level of rurality.
Date: 05/2025
Sponsoring organization: Arkansas Center for Health Improvement
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Reports on Hepatitis C diagnosis, treatment, screening, and other clinical and population-based data in Arkansas in 2021, utilizing Arkansas All-Payer Claims Database (APCD) and Arkansas Department of Health data. See Table 1 and Appendix B for demographic data on individuals with health insurance diagnosed with Hepatitis C broken down by level of rurality.
Date: 05/2025
Sponsoring organization: Arkansas Center for Health Improvement
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Arkansas All-Payer Claims Database Analysis of Hepatitis B
Reports on Hepatitis B diagnosis, treatment, screening, and other clinical and population-based data in Arkansas in 2021, utilizing Arkansas All-Payer Claims Database (APCD) and Arkansas Department of Health data. See Table 1 and Appendix B for demographic data on individuals with health insurance diagnosed with Hepatitis B broken down by level of rurality.
Date: 05/2025
Sponsoring organization: Arkansas Center for Health Improvement
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Reports on Hepatitis B diagnosis, treatment, screening, and other clinical and population-based data in Arkansas in 2021, utilizing Arkansas All-Payer Claims Database (APCD) and Arkansas Department of Health data. See Table 1 and Appendix B for demographic data on individuals with health insurance diagnosed with Hepatitis B broken down by level of rurality.
Date: 05/2025
Sponsoring organization: Arkansas Center for Health Improvement
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National Survey of Lung Cancer Screening Eligibility in United States Veterans
Explores a study evaluating the portion of veterans eligible and screened for lung cancer in rural and urban areas. Discusses the differences in screening and mortality rates between rural and urban areas. Breaks down data by age, family cancer history, and smoking history, among other factors.
Author(s): Jennifer A. Lewis, Allison Stranick, Jacquelyn Pennings, et al.
Citation: American Journal of Preventive Medicine, 68(5), 886-895
Date: 05/2025
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Explores a study evaluating the portion of veterans eligible and screened for lung cancer in rural and urban areas. Discusses the differences in screening and mortality rates between rural and urban areas. Breaks down data by age, family cancer history, and smoking history, among other factors.
Author(s): Jennifer A. Lewis, Allison Stranick, Jacquelyn Pennings, et al.
Citation: American Journal of Preventive Medicine, 68(5), 886-895
Date: 05/2025
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Delaying Screening Until Covered? Changes in Lung Cancer Screening at the Age of Nearly-Universal Medicare Insurance
Examines the impact of first-time screening of lung cancer at age 65, the age of nearly universal Medicare insurance coverage. Utilizes 2015-2020 American College of Radiology's Lung Cancer Screening Registry data to analyze differences in screening rates between ages 60-64 and 65-69. Includes additional data breakdowns such as patient demographics, smoking behaviors, eligibility for screening, and rural versus non-rural patient location.
Author(s): Marcelo C. Perraillon, Adam Warren, Lenka Goldman, Jamie L. Studts, Rebecca M. Myerson
Citation: Health Services Research
Date: 05/2025
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Examines the impact of first-time screening of lung cancer at age 65, the age of nearly universal Medicare insurance coverage. Utilizes 2015-2020 American College of Radiology's Lung Cancer Screening Registry data to analyze differences in screening rates between ages 60-64 and 65-69. Includes additional data breakdowns such as patient demographics, smoking behaviors, eligibility for screening, and rural versus non-rural patient location.
Author(s): Marcelo C. Perraillon, Adam Warren, Lenka Goldman, Jamie L. Studts, Rebecca M. Myerson
Citation: Health Services Research
Date: 05/2025
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Development of Chronic Pain and High-Impact Chronic Pain Across the US Rural–Urban Continuum, 2019–2020
Examines the prevalence of chronic pain across large central metro, large fringe metro, medium and small metro, and nonmetropolitan locations in the United States. Utilizes 2019–2020 National Health Interview Survey Longitudinal Cohort (NHIS-LC) data to analyze the severity of pain by demographic variables, region, and rural versus urban location.
Author(s): Feinuo Sun, Yulin Yang, Richard L. Nahin
Citation: Journal of Rural Health, 41(2)
Date: 05/2025
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Examines the prevalence of chronic pain across large central metro, large fringe metro, medium and small metro, and nonmetropolitan locations in the United States. Utilizes 2019–2020 National Health Interview Survey Longitudinal Cohort (NHIS-LC) data to analyze the severity of pain by demographic variables, region, and rural versus urban location.
Author(s): Feinuo Sun, Yulin Yang, Richard L. Nahin
Citation: Journal of Rural Health, 41(2)
Date: 05/2025
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Wait Times for Medical Appointments among Adults Age 50 and Older
Reports on wait times and distance to healthcare services in rural and urban communities, utilizing data from a February 2025 survey of 1,012 adults age 50 or older. Breaks down data by level of rurality, type of facility, and type of care provided.
Additional links: Annotated Questionnaire
Author(s): Teresa A. Keenan
Date: 05/2025
Sponsoring organization: AARP
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Reports on wait times and distance to healthcare services in rural and urban communities, utilizing data from a February 2025 survey of 1,012 adults age 50 or older. Breaks down data by level of rurality, type of facility, and type of care provided.
Additional links: Annotated Questionnaire
Author(s): Teresa A. Keenan
Date: 05/2025
Sponsoring organization: AARP
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Community Health Centers: Leading Innovation in Health Care
Presents graphs, charts, and data highlighting services provided by Community Health Centers, characteristics of the patients served, and progress made in improving access to healthcare. Reports on health centers' historical growth and recent trends, financial health, healthcare screening and disease prevention, management of chronic diseases, maternal and child health, workforce and service utilization, health information technology, and more. Includes urban-rural comparisons and maps with data by state throughout.
Author(s): Sarah Hurlbert, Mahima Singeetham, Amy Flowers
Date: 05/2025
Sponsoring organization: National Association of Community Health Centers
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Presents graphs, charts, and data highlighting services provided by Community Health Centers, characteristics of the patients served, and progress made in improving access to healthcare. Reports on health centers' historical growth and recent trends, financial health, healthcare screening and disease prevention, management of chronic diseases, maternal and child health, workforce and service utilization, health information technology, and more. Includes urban-rural comparisons and maps with data by state throughout.
Author(s): Sarah Hurlbert, Mahima Singeetham, Amy Flowers
Date: 05/2025
Sponsoring organization: National Association of Community Health Centers
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The Protective Role of Community Cohesion Across Rural and Urban Contexts: Implications for Youth Mental Health
Examines the impact of community cohesion on youth resilience during adverse experiences and socioeconomic issues. Utilizes longitudinal data from the Adolescent Brain Cognitive Development (ABCD) Study and compares rural and urban youth across categories such as neighborhood characteristics, negative life events, community cohesion, and internalizing and externalizing mental health symptoms.
Author(s): Alexis Brieant, Keith B. Burt
Citation: Child and Adolescent Mental Health, 30(2), 140-148
Date: 05/2025
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Examines the impact of community cohesion on youth resilience during adverse experiences and socioeconomic issues. Utilizes longitudinal data from the Adolescent Brain Cognitive Development (ABCD) Study and compares rural and urban youth across categories such as neighborhood characteristics, negative life events, community cohesion, and internalizing and externalizing mental health symptoms.
Author(s): Alexis Brieant, Keith B. Burt
Citation: Child and Adolescent Mental Health, 30(2), 140-148
Date: 05/2025
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