Rural Health
Resources by Topic: Health conditions
Post-Pandemic Migration Has Reshaped Rural Population Change
Discusses rural population changes after the COVID-19 pandemic. Provides an interactive county-level map that shows population shifts due to migration or natural growth.
Author(s): Riordan Frost
Date: 11/2025
Sponsoring organization: Harvard University Joint Center for Housing Studies
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Discusses rural population changes after the COVID-19 pandemic. Provides an interactive county-level map that shows population shifts due to migration or natural growth.
Author(s): Riordan Frost
Date: 11/2025
Sponsoring organization: Harvard University Joint Center for Housing Studies
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Paying Family Caregivers: Self-direction in Medicaid Personal Care
Compares characteristics of dually eligible older adults receiving caregiving through either self-direction and non-self-direction, including personal demographics, health conditions, healthcare utilization, and rurality. Discusses rural findings in light of workforce shortages in rural communities. Includes analysis of Medicaid data from 6 states with reliable self-direction data as well as analysis of characteristics for 41 states and Washington, D.C.
Author(s): Yiqing Kuang, Katherine E.M. Miller
Citation: Health Affairs Scholar, 3(11)
Date: 11/2025
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Compares characteristics of dually eligible older adults receiving caregiving through either self-direction and non-self-direction, including personal demographics, health conditions, healthcare utilization, and rurality. Discusses rural findings in light of workforce shortages in rural communities. Includes analysis of Medicaid data from 6 states with reliable self-direction data as well as analysis of characteristics for 41 states and Washington, D.C.
Author(s): Yiqing Kuang, Katherine E.M. Miller
Citation: Health Affairs Scholar, 3(11)
Date: 11/2025
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Barriers and Facilitators to Implementing Electronic Patient Reported Outcome Screening for Mental Illness and Substance Use Disorders at HIV Clinics in Alabama: A Qualitative Study
Examines barriers and facilitators related to implementation of electronic patient reported outcome measures (ePROs) to address mental health (MH) issues and substance use disorders (SUD) in people with HIV. Utilizes interview feedback from 15 staff at Ryan White HIV/AIDS Program (RWHP) clinics in Alabama regarding their experiences with the ePRO intervention, focusing on its impact in rural areas with an increased HIV burden.
Author(s): Ellen Eaton, C. Greer McCollum, Kelly W. Gagnon, Anna-Julia Enid Kutsch, Kaylee Burgan
Citation: BMC Health Services Research, 25, 1462
Date: 11/2025
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Examines barriers and facilitators related to implementation of electronic patient reported outcome measures (ePROs) to address mental health (MH) issues and substance use disorders (SUD) in people with HIV. Utilizes interview feedback from 15 staff at Ryan White HIV/AIDS Program (RWHP) clinics in Alabama regarding their experiences with the ePRO intervention, focusing on its impact in rural areas with an increased HIV burden.
Author(s): Ellen Eaton, C. Greer McCollum, Kelly W. Gagnon, Anna-Julia Enid Kutsch, Kaylee Burgan
Citation: BMC Health Services Research, 25, 1462
Date: 11/2025
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Leveraging the Rural-Urban Commuting Area Tool to Address Geographic Disparities in Cancer Care: A Dual-Application Framework for Institutional and National Initiatives
Details an open-access Rural-Urban Community Area (RUCA) tool to standardize patients' geographic coding in cancer disparities research by integrating RUCA codes with census tract and electronic health record system data. Provides data on the tool's application, utilizing 2023 cancer registry data provided by Wake Forest Cancer Center in North Carolina.
Author(s): Meredith C.B. Adams, Cody L. Hudson, Matthew L. Perkins, Robert W. Hurley, Umit Topaloglu
Citation: JCO Clinical Cancer Informatics, 9, e2500122
Date: 11/2025
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Details an open-access Rural-Urban Community Area (RUCA) tool to standardize patients' geographic coding in cancer disparities research by integrating RUCA codes with census tract and electronic health record system data. Provides data on the tool's application, utilizing 2023 cancer registry data provided by Wake Forest Cancer Center in North Carolina.
Author(s): Meredith C.B. Adams, Cody L. Hudson, Matthew L. Perkins, Robert W. Hurley, Umit Topaloglu
Citation: JCO Clinical Cancer Informatics, 9, e2500122
Date: 11/2025
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Rural Perspectives on Digital Health in Cardiovascular Care: Qualitative Study of Interviews With Rural and Rural-Serving Primary Care Providers and Cardiologists
Explores the perspectives of 17 rural and rural-serving healthcare providers in Alaska, Idaho, and Washington, on the use of digital health to deliver rural cardiovascular care. Discusses five factors that influence adoption outlined by the Diffusion of Innovations (DOI) theory: relative advantage, compatibility, complexity, trialability, and observability. Identifies themes that emerged from semi-structured interviews with these providers, including advantages and disadvantages of using digital health in their practice.
Author(s): Signe Burchim, Susan Miller, Kristin Beima-Sofie, et al.
Citation: Journal of Medical Internet Research, 27, e77234
Date: 11/2025
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Explores the perspectives of 17 rural and rural-serving healthcare providers in Alaska, Idaho, and Washington, on the use of digital health to deliver rural cardiovascular care. Discusses five factors that influence adoption outlined by the Diffusion of Innovations (DOI) theory: relative advantage, compatibility, complexity, trialability, and observability. Identifies themes that emerged from semi-structured interviews with these providers, including advantages and disadvantages of using digital health in their practice.
Author(s): Signe Burchim, Susan Miller, Kristin Beima-Sofie, et al.
Citation: Journal of Medical Internet Research, 27, e77234
Date: 11/2025
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Referrals and Utilization of Diabetes Self-Management Education and Support (DSMES) among Patients with Type 1 and Type 2 Diabetes at a Regional Medical Center in Kentucky
Analyzes demographic and clinical factors associated with diabetes self-management education and support (DSMES) among patients. Utilizes electronic health records of 10,587 diabetes patients receiving care at a regional medical center in Kentucky to examine DSMES attendance and referrals according to patient demographics, insurance type, clinical variables, and rural versus urban location.
Author(s): Omer Atac, George C. Bryant, William B. Burrows, et al.
Citation: BMC Public Health, 25, 3880
Date: 11/2025
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Analyzes demographic and clinical factors associated with diabetes self-management education and support (DSMES) among patients. Utilizes electronic health records of 10,587 diabetes patients receiving care at a regional medical center in Kentucky to examine DSMES attendance and referrals according to patient demographics, insurance type, clinical variables, and rural versus urban location.
Author(s): Omer Atac, George C. Bryant, William B. Burrows, et al.
Citation: BMC Public Health, 25, 3880
Date: 11/2025
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County-Level Vulnerability Is Associated With Mental Health and Substance Use Treatment Among Rural Suicide Decedents: A National Multi-Year Cross-Sectional Study
Presents a study on the relationship between individual- and county-level factors that correlate with rural suicide decedents who receive mental health and substance use dependence treatment. Breaks down data by county-level factors, such as number of mental health providers, number of primary care providers, and rate of social associations, among others, as well as individual characteristics, such as age, sex, education, and marital status, among others.
Author(s): J. Priyanka Vakkalanka, Victor A. Soupene, Jennifer Van Tiem, et al.
Citation: Journal of Rural Health, 41(4), e70094
Date: 11/2025
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Presents a study on the relationship between individual- and county-level factors that correlate with rural suicide decedents who receive mental health and substance use dependence treatment. Breaks down data by county-level factors, such as number of mental health providers, number of primary care providers, and rate of social associations, among others, as well as individual characteristics, such as age, sex, education, and marital status, among others.
Author(s): J. Priyanka Vakkalanka, Victor A. Soupene, Jennifer Van Tiem, et al.
Citation: Journal of Rural Health, 41(4), e70094
Date: 11/2025
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Poor Mental Health Days and Depression by Farming Occupation and Sociodemographic Factors: BRFSS 2019 Data from 13 States
Analyzes 2019 Behavioral Risk Factor Surveillance Survey sociodemographic data from 13 states to compare poor mental health days and depression diagnosis between farmers and non-farmers. Discusses study findings in light of disproportionate suicide rates for people in farming occupations.
Author(s): Jeanne M. Ward, John R. Blosnich
Citation: Journal of Agromedicine, 2025
Date: 11/2025
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Analyzes 2019 Behavioral Risk Factor Surveillance Survey sociodemographic data from 13 states to compare poor mental health days and depression diagnosis between farmers and non-farmers. Discusses study findings in light of disproportionate suicide rates for people in farming occupations.
Author(s): Jeanne M. Ward, John R. Blosnich
Citation: Journal of Agromedicine, 2025
Date: 11/2025
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Staying Strong on the Job: Physical and Psychosocial Benefits of Exercise for Agricultural Workers
Evaluates the impact of an exercise program among 25 agricultural workers. The program aimed to improve strength to reduce workplace injuries. Discusses both measured and perceived changes in functional capacity.
Author(s): Nicholas Spokely, Diego Diaz-Vega, Lindsey Phillips Abernathy, et al.
Citation: Journal of Agromedicine, 2025
Date: 11/2025
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Evaluates the impact of an exercise program among 25 agricultural workers. The program aimed to improve strength to reduce workplace injuries. Discusses both measured and perceived changes in functional capacity.
Author(s): Nicholas Spokely, Diego Diaz-Vega, Lindsey Phillips Abernathy, et al.
Citation: Journal of Agromedicine, 2025
Date: 11/2025
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Missed Opportunities for Tobacco Dependence Treatment among U.S. Veterans Referred for Lung Cancer Screening: An Observational Cohort Study
Analyzes rates at which tobacco dependence treatment (TDT) is provided to veterans who use tobacco and were referred for lung cancer screening (LCS) at Veterans Affairs Medical Centers and associated clinics in the upper Midwest between September 2022 and September 2023. Breaks down clinical and demographic factors associated with TDT use, including rurality.
Author(s): Anne C. Melzer, Adam Kaplan, Megan Campbell, et al.
Citation: Preventive Medicine Reports, 59, 103263
Date: 11/2025
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Analyzes rates at which tobacco dependence treatment (TDT) is provided to veterans who use tobacco and were referred for lung cancer screening (LCS) at Veterans Affairs Medical Centers and associated clinics in the upper Midwest between September 2022 and September 2023. Breaks down clinical and demographic factors associated with TDT use, including rurality.
Author(s): Anne C. Melzer, Adam Kaplan, Megan Campbell, et al.
Citation: Preventive Medicine Reports, 59, 103263
Date: 11/2025
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