Rural Health
Resources by Topic: Behavioral health
Alaska Community Needs Assessment, 2025-2027
Results of a 2024-2025 series of surveys that gather household-level data on individualized, local needs in the areas of education, employment, workforce development, food security, and access to healthcare resources. Features demographics and statistics on disabilities, poverty, education level, rural housing, healthcare access, deaths of despair, substance use, and supply and demand of dental, mental health, and primary care providers.
Date: 06/2025
Sponsoring organization: Rural Alaska Community Action Program, Inc.
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Results of a 2024-2025 series of surveys that gather household-level data on individualized, local needs in the areas of education, employment, workforce development, food security, and access to healthcare resources. Features demographics and statistics on disabilities, poverty, education level, rural housing, healthcare access, deaths of despair, substance use, and supply and demand of dental, mental health, and primary care providers.
Date: 06/2025
Sponsoring organization: Rural Alaska Community Action Program, Inc.
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Assessing Temporal Changes in Spatially-Varying Disparities in Tobacco Retailer Density across Ohio
Examines how tobacco retailer density (TRD) across Ohio contributes to disparities in tobacco use. Utilizes 2017-2022 geocoded data on TBD, with breakdowns according to census tract sociodemographic characteristics and urban, suburban, or rural neighborhood type.
Author(s): Rui Qiang, Peter F. Craigmile, Wendy Hyde, Abby Shores, Megan E. Roberts
Citation: Ohio Journal of Public Health, 7(2)
Date: 06/2025
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Examines how tobacco retailer density (TRD) across Ohio contributes to disparities in tobacco use. Utilizes 2017-2022 geocoded data on TBD, with breakdowns according to census tract sociodemographic characteristics and urban, suburban, or rural neighborhood type.
Author(s): Rui Qiang, Peter F. Craigmile, Wendy Hyde, Abby Shores, Megan E. Roberts
Citation: Ohio Journal of Public Health, 7(2)
Date: 06/2025
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Family Weight Management in Rural U.S. Communities: A Mixed Methods Study of Parent and Child Perspectives
Examines interest in behavioral health programming to treat childhood obesity, utilizing focus group excerpts and survey data from 33 parents and 15 children in rural Southern counties. Highlights concerns, suggestions, and desired outcomes for program implementation.
Author(s): Alyssa Button, Denise Holston, Jamila Freightman, et al.
Citation: BMC Public Health, 25, 2089
Date: 06/2025
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Examines interest in behavioral health programming to treat childhood obesity, utilizing focus group excerpts and survey data from 33 parents and 15 children in rural Southern counties. Highlights concerns, suggestions, and desired outcomes for program implementation.
Author(s): Alyssa Button, Denise Holston, Jamila Freightman, et al.
Citation: BMC Public Health, 25, 2089
Date: 06/2025
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Integrating Mental Health Support into Rural Libraries: Evaluation of the Libraries for Health (L4H) Initiative
Presents findings from an evaluation of the implementation of Libraries for Health (L4H), a pilot project embedding nonclinical adult mental health supports into ten libraries in rural Texas. Summarizes how libraries implemented L4H, barriers and facilitators of implementation, and efforts to to build and sustain the program and sustain their capacity to address patrons' mental health needs.
Additional links: Research Summary
Author(s): Lynsay Ayer, Karen Christianson, Ivy Todd, et al.
Date: 06/2025
Sponsoring organization: RAND Corporation
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Presents findings from an evaluation of the implementation of Libraries for Health (L4H), a pilot project embedding nonclinical adult mental health supports into ten libraries in rural Texas. Summarizes how libraries implemented L4H, barriers and facilitators of implementation, and efforts to to build and sustain the program and sustain their capacity to address patrons' mental health needs.
Additional links: Research Summary
Author(s): Lynsay Ayer, Karen Christianson, Ivy Todd, et al.
Date: 06/2025
Sponsoring organization: RAND Corporation
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The Opioid Epidemic in Rural Communities: Can Telehealth Increase Access to Medication for Opioid Use Disorder and Offset Barriers to Care?
Examines the impact of telehealth on access to medication for opioid use disorder (MOUD) and substance use disorder (SUD) and opioid use disorder (OUD) treatment. Utilizes data from the Rural Communities Opioid Response Program's (RCORP) consortia, the National Survey of Drug Use and Health (NSDUH), and the U.S. Census Bureau's American Community Survey (ACS) to analyze access to MOUD and rates of telehealth use for rural consortia. Discusses potential barriers and factors impacting telehealth implementation for SUD and OUD care.
Author(s): Kathleen Meyers, Shannon Herman, Heather Schuler, et al.
Citation: Drug and Alcohol Dependence, 271, 112628
Date: 06/2025
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Examines the impact of telehealth on access to medication for opioid use disorder (MOUD) and substance use disorder (SUD) and opioid use disorder (OUD) treatment. Utilizes data from the Rural Communities Opioid Response Program's (RCORP) consortia, the National Survey of Drug Use and Health (NSDUH), and the U.S. Census Bureau's American Community Survey (ACS) to analyze access to MOUD and rates of telehealth use for rural consortia. Discusses potential barriers and factors impacting telehealth implementation for SUD and OUD care.
Author(s): Kathleen Meyers, Shannon Herman, Heather Schuler, et al.
Citation: Drug and Alcohol Dependence, 271, 112628
Date: 06/2025
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A Comparison of Classifications for Geographic Location and Their Associations with Tobacco Use among US Adults
Details a study on the differences in 2 different rural classification in rates of cigarette, e-cigarette, and smokeless tobacco usage. Compares U.S. Census Bureau's definition of urban and rural areas with the National Center for Education Statistics' urban/suburban/town/rural classification.
Author(s): Jenny E. Ozga, Andrea Milstred, Melissa D. Blank, et al.
Citation: Journal of Rural Health, 41(3), e70070
Date: 06/2025
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Details a study on the differences in 2 different rural classification in rates of cigarette, e-cigarette, and smokeless tobacco usage. Compares U.S. Census Bureau's definition of urban and rural areas with the National Center for Education Statistics' urban/suburban/town/rural classification.
Author(s): Jenny E. Ozga, Andrea Milstred, Melissa D. Blank, et al.
Citation: Journal of Rural Health, 41(3), e70070
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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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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Caregiving in Rural Areas: A Qualitative Study of Challenges and Resilience
Examines rural-specific challenges and strengths in caregiving, utilizing interview data of 18 rural-dwelling caregivers in Vermont. Discusses community-based factors influencing care, access to services, and rural identity, among other topics.
Author(s): Hyojin Choi, Christine Vatovec, Maija Reblin
Citation: PLOS One, 20(6), e0325536
Date: 06/2025
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Examines rural-specific challenges and strengths in caregiving, utilizing interview data of 18 rural-dwelling caregivers in Vermont. Discusses community-based factors influencing care, access to services, and rural identity, among other topics.
Author(s): Hyojin Choi, Christine Vatovec, Maija Reblin
Citation: PLOS One, 20(6), e0325536
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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