Rural Health
Resources by Topic: Statistics and data
Lifespan Exposures to Rural-Urban Conditions and Later-Life Cognitive Function
Examines associations between rural or urban residence during childhood and adulthood and cognitive outcomes, including mild cognitive impairment and dementia, among older adults, utilizing 2016 Harmonized Cognitive Assessment Protocol (HCAP) data of 3496 individuals aged 65 years or older.
Author(s): Lingzhi Chu, Yingyan Wu, Heidi Karjalainen, Olivia E Atherton
Citation: Alzheimer's & Dementia, 21(6), e70267
Date: 06/2025
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Examines associations between rural or urban residence during childhood and adulthood and cognitive outcomes, including mild cognitive impairment and dementia, among older adults, utilizing 2016 Harmonized Cognitive Assessment Protocol (HCAP) data of 3496 individuals aged 65 years or older.
Author(s): Lingzhi Chu, Yingyan Wu, Heidi Karjalainen, Olivia E Atherton
Citation: Alzheimer's & Dementia, 21(6), e70267
Date: 06/2025
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Tobacco Treatment Billing and Tobacco Use Disorder Diagnosis in Healthcare Settings in the United States: An Analysis of South Carolina Medicaid Claims
Examines demographic differences in tobacco use disorder diagnosis and receipt of counseling among Medicaid beneficiaries in South Carolina, utilizing 2019-2022 South Carolina Medicaid administrative claims data. Includes data breakdowns by rural or urban dwelling, among other factors.
Author(s): Kinsey Pebley, Joni D. Nelson, Julie L. Marshall, Alana M. Rojewski
Citation: Substance Abuse Treatment, Prevention, and Policy, 20, 24
Date: 06/2025
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Examines demographic differences in tobacco use disorder diagnosis and receipt of counseling among Medicaid beneficiaries in South Carolina, utilizing 2019-2022 South Carolina Medicaid administrative claims data. Includes data breakdowns by rural or urban dwelling, among other factors.
Author(s): Kinsey Pebley, Joni D. Nelson, Julie L. Marshall, Alana M. Rojewski
Citation: Substance Abuse Treatment, Prevention, and Policy, 20, 24
Date: 06/2025
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Harvest Hope's Non-Congregate Summer Meals Model for Food Banks
Discusses how a food bank in South Carolina supported 3 non-congregate meal service sites for children across rural counties. Provides information on agency collaboration, meal options, tracking and reporting on food program use, and more.
Date: 06/2025
Sponsoring organization: No Kid Hungry
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Discusses how a food bank in South Carolina supported 3 non-congregate meal service sites for children across rural counties. Provides information on agency collaboration, meal options, tracking and reporting on food program use, and more.
Date: 06/2025
Sponsoring organization: No Kid Hungry
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Payment Source Shift for Surgical Care Among Veterans Enrolled in Medicare Advantage Plans
Examines the likelihood of veterans enrolled in Medicare Advantage (MA) plans to shift payments for inpatient surgical care from MA to the Veterans Health Administration (VHA). Analyzes 54,754 inpatient surgeries of VHA enrollees to observe payment trends, with data broken down by demographics, insurance characteristics, region, and rurality.
Author(s): Winta T. Mehtsun, Yanlei Ma, Ellen Latsko, et al.
Citation: JAMA Health Forum, 6(6)
Date: 06/2025
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Examines the likelihood of veterans enrolled in Medicare Advantage (MA) plans to shift payments for inpatient surgical care from MA to the Veterans Health Administration (VHA). Analyzes 54,754 inpatient surgeries of VHA enrollees to observe payment trends, with data broken down by demographics, insurance characteristics, region, and rurality.
Author(s): Winta T. Mehtsun, Yanlei Ma, Ellen Latsko, et al.
Citation: JAMA Health Forum, 6(6)
Date: 06/2025
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Effects of Using Different Rural Measurements on Estimates of Hospitalizations for Depression and Substance Use
Explores how using different rural measurements can affect estimates of hospitalization rates for behavioral health conditions. Highlights how Rural-Urban Commuting Areas (RUCA) codes, Core-Based Statistical Areas (CBSA), Urban-Rural Category 4 (URCategory4), and Rural-Urban Continuum Codes (RUCC) affect hospitalization estimates. Discusses the consequences these difference can have on policy.
Author(s): Robin Danek, Justin Blackburn, Marion Greene, et al.
Citation: BMC Health Services Research, 25, 818
Date: 06/2025
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Explores how using different rural measurements can affect estimates of hospitalization rates for behavioral health conditions. Highlights how Rural-Urban Commuting Areas (RUCA) codes, Core-Based Statistical Areas (CBSA), Urban-Rural Category 4 (URCategory4), and Rural-Urban Continuum Codes (RUCC) affect hospitalization estimates. Discusses the consequences these difference can have on policy.
Author(s): Robin Danek, Justin Blackburn, Marion Greene, et al.
Citation: BMC Health Services Research, 25, 818
Date: 06/2025
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Primary Care Practices' Choice of Implementation Strategy for Continuous Glucose Monitoring for Patients with Diabetes: A Multiple Methods Study Within a Larger Hybrid Type-3 Effectiveness-Implementation Study
Examines characteristics of primary care (PC) practices that utilize either a self-paced or virtual continuous glucose monitoring (CGM) implementation service. Provides feedback on CGM implementation from 76 PC practices in Colorado as well as characteristics of those practices. Compares metro versus nonmetro PC utilization of two CGM services: the self-paced American Academy of Family Physicians Transformation in Practice Series (TIPS) service or the virtual CGM initiation service (virCIS).
Author(s): Kimberly T. Wiggins, Tristen L. Hall, Bonnie Jortberg, et al.
Citation: BMC Primary Care, 26, 195
Date: 06/2025
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Examines characteristics of primary care (PC) practices that utilize either a self-paced or virtual continuous glucose monitoring (CGM) implementation service. Provides feedback on CGM implementation from 76 PC practices in Colorado as well as characteristics of those practices. Compares metro versus nonmetro PC utilization of two CGM services: the self-paced American Academy of Family Physicians Transformation in Practice Series (TIPS) service or the virtual CGM initiation service (virCIS).
Author(s): Kimberly T. Wiggins, Tristen L. Hall, Bonnie Jortberg, et al.
Citation: BMC Primary Care, 26, 195
Date: 06/2025
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Pharmacy Deserts in Rural Pennsylvania
Describes the landscape of pharmacies and pharmacists in Pennsylvania as of May 2025 and examines the projected impact of Rite Aid pharmacy closures. Features statistics on numbers of pharmacies and pharmacists, with breakdowns by urban and rural areas, and county-level maps showing areas within a 5-mile radius of all pharmacies and all non-Rite Aid pharmacies, with shadings showing urban and rural areas.
Date: 06/2025
Sponsoring organization: Center for Rural Pennsylvania
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Describes the landscape of pharmacies and pharmacists in Pennsylvania as of May 2025 and examines the projected impact of Rite Aid pharmacy closures. Features statistics on numbers of pharmacies and pharmacists, with breakdowns by urban and rural areas, and county-level maps showing areas within a 5-mile radius of all pharmacies and all non-Rite Aid pharmacies, with shadings showing urban and rural areas.
Date: 06/2025
Sponsoring organization: Center for Rural Pennsylvania
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Faculty Development in New and Emerging Rural Residency Programs
Discusses rates of participation in faculty development, program structures, and other program characteristics of new rural residency programs funded through the Federal Office of Rural Health Policy's (FORHP) Rural Residency Planning and Development (RRPD) awards. Utilizes fiscal year 2023 FORHP performance report data of 43 RRPD grantees.
Author(s): Amanda Weidner, Mallory Brown, David V. Evans, et al.
Citation: Journal of Graduate Medical Education, 17(3), 362-366
Date: 06/2025
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Discusses rates of participation in faculty development, program structures, and other program characteristics of new rural residency programs funded through the Federal Office of Rural Health Policy's (FORHP) Rural Residency Planning and Development (RRPD) awards. Utilizes fiscal year 2023 FORHP performance report data of 43 RRPD grantees.
Author(s): Amanda Weidner, Mallory Brown, David V. Evans, et al.
Citation: Journal of Graduate Medical Education, 17(3), 362-366
Date: 06/2025
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Closing the Food Access Gap in Rural Mississippi: Evaluation of the Grocery Online Ordering Distribution Service (GOODS) Program Using an Assets-Based Framework
Examines the impact of the Grocery Online Ordering Distribution Service (GOODS) food program on nutritious food access in rural Mississippi. Includes data on participant characteristics, eating and shopping habits, and food purchases. Discusses program framework, design, and feedback from staff and participants.
Author(s): Ivonne Quiroz, Katherine Tomaino Fraser, Sara Evans Miller, Kevin Coogan, Nevin Cohen
Citation: Journal of Agriculture, Food Systems, and Community Development, 14(3), 251-271
Date: 06/2025
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Examines the impact of the Grocery Online Ordering Distribution Service (GOODS) food program on nutritious food access in rural Mississippi. Includes data on participant characteristics, eating and shopping habits, and food purchases. Discusses program framework, design, and feedback from staff and participants.
Author(s): Ivonne Quiroz, Katherine Tomaino Fraser, Sara Evans Miller, Kevin Coogan, Nevin Cohen
Citation: Journal of Agriculture, Food Systems, and Community Development, 14(3), 251-271
Date: 06/2025
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Economic Factors Associated With County-Level Mental Health – United States, 2019
Explores the correlation between economic factors, such as household income, education, and supplemental income and nutritional support, and county-level mental health. Breaks down economic factors, such as employment, income and wealth, and expenses by rural and urban location.
Author(s): Michele L.F. Bolduc, Parya Saberi, Torsten B. Neilands, et al.
Citation: PLoS One, 20(6), e0300939
Date: 06/2025
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Explores the correlation between economic factors, such as household income, education, and supplemental income and nutritional support, and county-level mental health. Breaks down economic factors, such as employment, income and wealth, and expenses by rural and urban location.
Author(s): Michele L.F. Bolduc, Parya Saberi, Torsten B. Neilands, et al.
Citation: PLoS One, 20(6), e0300939
Date: 06/2025
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