Rural Health
Resources by Topic: Health conditions
Lung Cancer Disparities in Rural, Persistent Poverty Counties: A Secondary Data Analysis
Examines lung cancer incidence and mortality according to county-level smoking rates, rurality, and poverty. Analyzes county types, such as urban and non-persistent poverty, urban and persistent poverty, rural and non-persistent poverty, and rural and persistent poverty as correlated with lung cancer disparities.
Author(s): Veronica Bernacchi, Kelly Hirko, Eric Adjei Boakye, et al.
Citation: BMC Public Health, 25, 878
Date: 03/2025
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Examines lung cancer incidence and mortality according to county-level smoking rates, rurality, and poverty. Analyzes county types, such as urban and non-persistent poverty, urban and persistent poverty, rural and non-persistent poverty, and rural and persistent poverty as correlated with lung cancer disparities.
Author(s): Veronica Bernacchi, Kelly Hirko, Eric Adjei Boakye, et al.
Citation: BMC Public Health, 25, 878
Date: 03/2025
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Legal-Involved Veterans Are Less Likely to Receive Guideline-Concordant Colorectal Cancer Screening
Examines rates of screening for colorectal cancer (CRC) for veterans who are legal-involved. Provides Veterans Health Administration (VHA) electronic health record data on CRC for veterans who are and who are not legal-involved, with further breakdowns by demographic variables, such as rurality.
Author(s): Kenneth J. Nieser, Alex H. S. Harris, Ingrid A. Binswanger, Sean C. Clark, Andrea K. Finlay
Citation: BMC Health Services Research, 25, 333
Date: 03/2025
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Examines rates of screening for colorectal cancer (CRC) for veterans who are legal-involved. Provides Veterans Health Administration (VHA) electronic health record data on CRC for veterans who are and who are not legal-involved, with further breakdowns by demographic variables, such as rurality.
Author(s): Kenneth J. Nieser, Alex H. S. Harris, Ingrid A. Binswanger, Sean C. Clark, Andrea K. Finlay
Citation: BMC Health Services Research, 25, 333
Date: 03/2025
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Machine Learning to Predict Dementia for American Indian and Alaska Native Peoples: A Retrospective Cohort Study
Describes a dementia risk prediction model for American Indian and Alaska Native (AI/AN) populations who use Tribal health services. Utilizes data from the Indian Health Service (IHS) National Data Warehouse to analyze dementia risk for 17,398 AI/AN adults, discussing health and demographic predictors of risk.
Author(s): Kayleen Ports, Jiahui Dai, Kyle Conniff, et al.
Citation: The Lancet Regional Health - Americas, 43, 101013
Date: 03/2025
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Describes a dementia risk prediction model for American Indian and Alaska Native (AI/AN) populations who use Tribal health services. Utilizes data from the Indian Health Service (IHS) National Data Warehouse to analyze dementia risk for 17,398 AI/AN adults, discussing health and demographic predictors of risk.
Author(s): Kayleen Ports, Jiahui Dai, Kyle Conniff, et al.
Citation: The Lancet Regional Health - Americas, 43, 101013
Date: 03/2025
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Screening and Referral Programs for Diabetes and Cardiovascular Disease: Can Community Pharmacists Bridge the Care Gap?
Examines the community-based valued-driven care initiative (CVCI) in community pharmacies to evaluate its effectiveness related to screening and referral (S&R) to treat cardiovascular disease (CVD) and diabetes mellitus (DM). Analyzes patient demographics and success rates of CVD and DM S&R in 6 community pharmacies, with both rural and urban locations represented.
Author(s): Melanie Livet, Amber Watson, Shweta Pathak, et al.
Citation: Exploratory Research in Clinical and Social Pharmacy, 17, 100539
Date: 03/2025
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Examines the community-based valued-driven care initiative (CVCI) in community pharmacies to evaluate its effectiveness related to screening and referral (S&R) to treat cardiovascular disease (CVD) and diabetes mellitus (DM). Analyzes patient demographics and success rates of CVD and DM S&R in 6 community pharmacies, with both rural and urban locations represented.
Author(s): Melanie Livet, Amber Watson, Shweta Pathak, et al.
Citation: Exploratory Research in Clinical and Social Pharmacy, 17, 100539
Date: 03/2025
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Texas Border Health Data Overview
Presentation slides providing data on population, noncommunicable disease, mental and behavioral health, maternal and child health, and injuries in Texas's border region. Includes data comparisons between border and non-border counties.
Author(s): Rhae Cisneros
Date: 02/2025
Sponsoring organization: Texas Health and Human Services
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Presentation slides providing data on population, noncommunicable disease, mental and behavioral health, maternal and child health, and injuries in Texas's border region. Includes data comparisons between border and non-border counties.
Author(s): Rhae Cisneros
Date: 02/2025
Sponsoring organization: Texas Health and Human Services
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Incidence and Survival of Children and Adolescents With Wilms Tumor, United States, 2001–2020
Analyzes new cases of Wilms Tumor and 5-year survival rates among patients aged less than 20 years at diagnosis, utilizing 2003-2020 US Cancer Statistics (USCS) and 2001-2019 National Program of Cancer Registries (NPCR) data. Breaks down data by clinical and demographic factors, including level of rurality.
Author(s): Andrew F. Espinoza, Ekene Onwuka, David A. Siegel, et al.
Citation: Cancer Medicine, 14(3), e70598
Date: 02/2025
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Analyzes new cases of Wilms Tumor and 5-year survival rates among patients aged less than 20 years at diagnosis, utilizing 2003-2020 US Cancer Statistics (USCS) and 2001-2019 National Program of Cancer Registries (NPCR) data. Breaks down data by clinical and demographic factors, including level of rurality.
Author(s): Andrew F. Espinoza, Ekene Onwuka, David A. Siegel, et al.
Citation: Cancer Medicine, 14(3), e70598
Date: 02/2025
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Exposure to Firearm Injury and Suicide in a Rural Pennsylvania County: Implications for Mental and Behavioral Health
Presents a study exploring the relationship gun violence exposure and behavioral health indicators among a rural population. Bases findings on a survey of 630 residents of a rural county in Pennsylvania. Breaks down data by behavioral health indicator, level of exposure, and demographic information, such as age, sex, and economic situation, among other measures.
Author(s): Richard Stansfield, Daniel C. Semenza, Devon Ziminski
Citation: Journal of Behavioral Medicine, 48(1), 188-198
Date: 02/2025
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Presents a study exploring the relationship gun violence exposure and behavioral health indicators among a rural population. Bases findings on a survey of 630 residents of a rural county in Pennsylvania. Breaks down data by behavioral health indicator, level of exposure, and demographic information, such as age, sex, and economic situation, among other measures.
Author(s): Richard Stansfield, Daniel C. Semenza, Devon Ziminski
Citation: Journal of Behavioral Medicine, 48(1), 188-198
Date: 02/2025
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The Cancer Prevention and Research Institute of Texas Prevention Program's First Ten Years: A Comprehensive Assessment, Phase II Summary Report
Reports on the activities, results, and administration of the Cancer Prevention Research Institute of Texas (CPRIT) Prevention Program since 2010. Discusses CPRIT initiatives related to cancer screening and prevention in rural and Medically Underserved Areas (MUAs) throughout. See Appendices G and H for case studies on rural youth cancer prevention and cancer public health response in predominantly rural areas.
Date: 02/2025
Sponsoring organization: Texas Health Institute
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Reports on the activities, results, and administration of the Cancer Prevention Research Institute of Texas (CPRIT) Prevention Program since 2010. Discusses CPRIT initiatives related to cancer screening and prevention in rural and Medically Underserved Areas (MUAs) throughout. See Appendices G and H for case studies on rural youth cancer prevention and cancer public health response in predominantly rural areas.
Date: 02/2025
Sponsoring organization: Texas Health Institute
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Large Language Models for Agricultural Injury Surveillance
Describes the use of large language models (LLMs) in automating a previously manual agricultural injury surveillance workflow. Discusses reliability, accuracy, costs, and remaining challenges.
Author(s): Jacob Muller, Daniel Petti, Changying Li, et al.
Citation: Safety, 11(1), 15
Date: 02/2025
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Describes the use of large language models (LLMs) in automating a previously manual agricultural injury surveillance workflow. Discusses reliability, accuracy, costs, and remaining challenges.
Author(s): Jacob Muller, Daniel Petti, Changying Li, et al.
Citation: Safety, 11(1), 15
Date: 02/2025
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Cost Burden of Cancer Screening in Kansas by Region and Rural/Urban Designation
Analyzes the cost burden of self-pay cancer screenings in Kansas by rural and urban location and geographic region of the state, with data on colonoscopies, chest computed tomography (CT) scans, and mammograms. Discusses rural-urban disparities in price of services and pricing transparency.
Author(s): Kale Mills, Nicole Freund
Citation: Kansas Journal of Medicine, 18(1):10–13
Date: 02/2025
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Analyzes the cost burden of self-pay cancer screenings in Kansas by rural and urban location and geographic region of the state, with data on colonoscopies, chest computed tomography (CT) scans, and mammograms. Discusses rural-urban disparities in price of services and pricing transparency.
Author(s): Kale Mills, Nicole Freund
Citation: Kansas Journal of Medicine, 18(1):10–13
Date: 02/2025
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