Rural Health
Resources by Type: Document
Inpatient Utilization of Therapeutic Plasma Exchange in the United States: 2016-2021
Examines demographic and clinical variables associated with utilization of therapeutic plasma exchange (TPE) in the U.S. from 2016 to 2021. Utilizes national inpatient sample (NIS) data to analyze TPE utilization according to patient demographics, insurance type, discharge outcomes, clinical conditions, and hospital type, costs, region, bed size, and rurality.
Author(s): Jianling Tao, Sijie Zheng, Lusilda Agolli, et al.
Citation: Kidney Medicine, 7(11), 101105
Date: 11/2025
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Examines demographic and clinical variables associated with utilization of therapeutic plasma exchange (TPE) in the U.S. from 2016 to 2021. Utilizes national inpatient sample (NIS) data to analyze TPE utilization according to patient demographics, insurance type, discharge outcomes, clinical conditions, and hospital type, costs, region, bed size, and rurality.
Author(s): Jianling Tao, Sijie Zheng, Lusilda Agolli, et al.
Citation: Kidney Medicine, 7(11), 101105
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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Tracking State Releases of Rural Health Transformation Program Applications
Presents an interactive map identifying state announcements and release of their Rural Health Transformation Program application materials or summaries.
Author(s): Rebecca Lopez, Jamila McLean, Heather Howard
Date: 11/2025
Sponsoring organization: State Health & Value Strategies
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Presents an interactive map identifying state announcements and release of their Rural Health Transformation Program application materials or summaries.
Author(s): Rebecca Lopez, Jamila McLean, Heather Howard
Date: 11/2025
Sponsoring organization: State Health & Value Strategies
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Kentucky Rural Obstetrical Workforce
Offers maps and tables of the obstetricians and advanced practice midwives workforce distribution in Kentucky in 2025. Includes county-level data and rural and urban comparisons.
Author(s): S.C. Woolcock, C.H.A. Andrilla, L.A. Garberson, J.M. Graves
Date: 11/2025
Sponsoring organization: WWAMI Rural Health Research Center
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Offers maps and tables of the obstetricians and advanced practice midwives workforce distribution in Kentucky in 2025. Includes county-level data and rural and urban comparisons.
Author(s): S.C. Woolcock, C.H.A. Andrilla, L.A. Garberson, J.M. Graves
Date: 11/2025
Sponsoring organization: WWAMI Rural Health Research Center
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Ohio Rural Obstetrical Workforce
Offers maps and tables of the obstetricians and advanced practice midwives workforce distribution in Ohio in 2025. Includes county-level data and rural and urban comparisons.
Author(s): S.C. Woolcock, C.H.A. Andrilla, L.A. Garberson, J.M. Graves
Date: 11/2025
Sponsoring organization: WWAMI Rural Health Research Center
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Offers maps and tables of the obstetricians and advanced practice midwives workforce distribution in Ohio in 2025. Includes county-level data and rural and urban comparisons.
Author(s): S.C. Woolcock, C.H.A. Andrilla, L.A. Garberson, J.M. Graves
Date: 11/2025
Sponsoring organization: WWAMI Rural Health Research Center
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Kentucky Rural Primary Care Workforce
Offers maps and tables of the primary care workforce distribution in Kentucky in 2025. Includes county-level data and rural and urban comparisons.
Author(s): S.C. Woolcock, C.H.A. Andrilla, L.A. Garberson, J.M. Graves
Date: 11/2025
Sponsoring organization: WWAMI Rural Health Research Center
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Offers maps and tables of the primary care workforce distribution in Kentucky in 2025. Includes county-level data and rural and urban comparisons.
Author(s): S.C. Woolcock, C.H.A. Andrilla, L.A. Garberson, J.M. Graves
Date: 11/2025
Sponsoring organization: WWAMI Rural Health Research Center
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Ohio Rural Primary Care Workforce
Offers maps and tables of the primary care workforce distribution in Ohio in 2025. Includes county-level data and rural and urban comparisons.
Author(s): S.C. Woolcock, C.H.A. Andrilla, L.A. Garberson, J.M. Graves
Date: 11/2025
Sponsoring organization: WWAMI Rural Health Research Center
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Offers maps and tables of the primary care workforce distribution in Ohio in 2025. Includes county-level data and rural and urban comparisons.
Author(s): S.C. Woolcock, C.H.A. Andrilla, L.A. Garberson, J.M. Graves
Date: 11/2025
Sponsoring organization: WWAMI Rural Health Research Center
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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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