Rural Health
Resources by Topic: Statistics and data
Machine Learning to Evaluate the Effects of Non-Clinical Social Determinant Features in Predicting Colorectal Cancer Mortality in a Medically Underserved Appalachian Population
Examines colorectal cancer (CRC) survival rates in rural Appalachia and the related impact of demographic, clinical, and social determinant of health (SDOH) factors. Utilizes machine learning (ML) models to analyze data from Appalachian cancer centers and examines what factors contribute most to CRC survival in Appalachia. Discusses the impact of including SDOH in ML prediction models and implications for further CRC research.
Author(s): Aisha Montgomery, Ravi Vadapalli, Frank A. Dinenno, et al.
Citation: Scientific Reports, 15, 25781
Date: 07/2025
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Examines colorectal cancer (CRC) survival rates in rural Appalachia and the related impact of demographic, clinical, and social determinant of health (SDOH) factors. Utilizes machine learning (ML) models to analyze data from Appalachian cancer centers and examines what factors contribute most to CRC survival in Appalachia. Discusses the impact of including SDOH in ML prediction models and implications for further CRC research.
Author(s): Aisha Montgomery, Ravi Vadapalli, Frank A. Dinenno, et al.
Citation: Scientific Reports, 15, 25781
Date: 07/2025
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Evaluation of a Combined Text Messaging and Online Survey Protocol for Giardiasis Case Investigation — Colorado, September 2023–May 2024
Reports on the use of text message–based survey invitations to gather case data from Colorado patients with laboratory-confirmed Giardia infection. Includes data on response levels among rural and urban patients.
Author(s): Ingrid Hewitson, Amanda Tran, Alayna Younger, Rachel H. Jervis
Citation: MMWR (Morbidity and Mortality Weekly Report), 74(26), 424-429
Date: 07/2025
Sponsoring organization: Centers for Disease Control and Prevention
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Reports on the use of text message–based survey invitations to gather case data from Colorado patients with laboratory-confirmed Giardia infection. Includes data on response levels among rural and urban patients.
Author(s): Ingrid Hewitson, Amanda Tran, Alayna Younger, Rachel H. Jervis
Citation: MMWR (Morbidity and Mortality Weekly Report), 74(26), 424-429
Date: 07/2025
Sponsoring organization: Centers for Disease Control and Prevention
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Estimating County-Level Dental Care Utilization among Adults in California Using Multilevel Modeling with Raking Approach
Analyzes the accuracy and suitability of a small area estimation method combining multilevel modeling and raking for estimating county-level dental care utilization for adults in California, utilizing 2018 Behavioral Risk Factor Surveillance System and American Community Survey data. Highlights the value of small area estimation methods for geographic areas with small sample sizes.
Author(s): Yilan Huang, Honghu Liu
Citation: Archives of Public Health, 83, 183
Date: 07/2025
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Analyzes the accuracy and suitability of a small area estimation method combining multilevel modeling and raking for estimating county-level dental care utilization for adults in California, utilizing 2018 Behavioral Risk Factor Surveillance System and American Community Survey data. Highlights the value of small area estimation methods for geographic areas with small sample sizes.
Author(s): Yilan Huang, Honghu Liu
Citation: Archives of Public Health, 83, 183
Date: 07/2025
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Rural Adolescent Attitudes and Use of Bicycle Helmets in Iowa
Examines youth attitudes toward bicycle helmet use in rural Iowa. Utilizes survey data from 1,331 adolescents aged 13-18 years who attended the 2022 Iowa FFA Leadership Conference and provides data breakdowns by demographics, bicycle use, helmet use, and attitudes toward helmet importance and helmet laws.
Author(s): Brooke L. Askelsen, Brianna J. Iverson, Devin E. Spolsdoff, et al.
Citation: Injury Epidemiology, 12, 41
Date: 07/2025
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Examines youth attitudes toward bicycle helmet use in rural Iowa. Utilizes survey data from 1,331 adolescents aged 13-18 years who attended the 2022 Iowa FFA Leadership Conference and provides data breakdowns by demographics, bicycle use, helmet use, and attitudes toward helmet importance and helmet laws.
Author(s): Brooke L. Askelsen, Brianna J. Iverson, Devin E. Spolsdoff, et al.
Citation: Injury Epidemiology, 12, 41
Date: 07/2025
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Policy Brief: Factors Contributing to Child And Youth Mental Health Struggles
Provides information on youth mental health in Ohio. Focuses on variables that impact mental health, such as smart phones and social media, housing instability, and involvement in child welfare services. Includes county-level map showing percentage of Ohio students who are homeless.
Author(s): Becky Carroll, June Postalakis
Date: 07/2025
Sponsoring organization: Health Policy Institute of Ohio
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Provides information on youth mental health in Ohio. Focuses on variables that impact mental health, such as smart phones and social media, housing instability, and involvement in child welfare services. Includes county-level map showing percentage of Ohio students who are homeless.
Author(s): Becky Carroll, June Postalakis
Date: 07/2025
Sponsoring organization: Health Policy Institute of Ohio
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Most Medicare Advantage Markets are Dominated by One or Two Insurers
Examines the competitiveness of Medicare Advantage (MA) markets at the county level. Explores how often one or two Medicare Advantage insurers enrolled at least half of all enrollees within a county. Compares data on the share of counties in very concentrated MA markets across urban, rural adjacent, and rural non-adjacent counties.
Author(s): Nicole Zhu, Jeannie Fuglesten Biniek, Nolan Sroczynski, Tricia Neuman
Date: 07/2025
Sponsoring organization: KFF
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Examines the competitiveness of Medicare Advantage (MA) markets at the county level. Explores how often one or two Medicare Advantage insurers enrolled at least half of all enrollees within a county. Compares data on the share of counties in very concentrated MA markets across urban, rural adjacent, and rural non-adjacent counties.
Author(s): Nicole Zhu, Jeannie Fuglesten Biniek, Nolan Sroczynski, Tricia Neuman
Date: 07/2025
Sponsoring organization: KFF
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Natural Hazards, Losses, and Quality of Hazard Mitigation Plans in Rural Pennsylvania
Results of a study identifying and analyzing characteristics of natural hazards and losses in Pennsylvania over time, characteristics of rural and urban hazard mitigation planning, and challenges for county emergency management coordinators. Offers recommendations to address staff shortages faced by emergency management personnel in rural areas. Features statistics including property losses and deaths from hazards in Pennsylvania by year from 2000-2021, with breakdowns by urban and rural areas.
Author(s): Jennifer J. Haney
Date: 07/2025
Sponsoring organization: Center for Rural Pennsylvania
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Results of a study identifying and analyzing characteristics of natural hazards and losses in Pennsylvania over time, characteristics of rural and urban hazard mitigation planning, and challenges for county emergency management coordinators. Offers recommendations to address staff shortages faced by emergency management personnel in rural areas. Features statistics including property losses and deaths from hazards in Pennsylvania by year from 2000-2021, with breakdowns by urban and rural areas.
Author(s): Jennifer J. Haney
Date: 07/2025
Sponsoring organization: Center for Rural Pennsylvania
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AACOM Applicants & Matriculants Health Resources & Services Administration (HRSA) Categories & Regions 2016-2024
Report on osteopathic medical school applicants and matriculants, using data from the American Association of Colleges of Osteopathic Medicine (AACOM) application to summarize categories and geographic regions. Features statistics with breakdowns by 6 levels of population density.
Author(s): Erik Guercio
Date: 07/2025
Sponsoring organization: American Association of Colleges of Osteopathic Medicine
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Report on osteopathic medical school applicants and matriculants, using data from the American Association of Colleges of Osteopathic Medicine (AACOM) application to summarize categories and geographic regions. Features statistics with breakdowns by 6 levels of population density.
Author(s): Erik Guercio
Date: 07/2025
Sponsoring organization: American Association of Colleges of Osteopathic Medicine
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2025 County-Level Health Insurance Marketplace Enrollment in Kansas
Provides information on health insurance marketplace enrollment in Kansas from November 1, 2024 to January 15, 2025. Includes health insurance enrollment data by congressional district, county, and ZIP code, as well as county-level data on standalone dental plan enrollment.
Additional links: 2025 Health Insurance Marketplace Enrollment by Congressional District, 2025 Health Insurance Marketplace Enrollment by County, 2025 Health Insurance Marketplace Enrollment by Zip Code, 2025 Health Insurance Marketplace Standalone Dental Plan Enrollment by County
Author(s): Viktoria Sterkhova, Kaci Cink, Cynthia Snyder
Date: 07/2025
Sponsoring organization: Kansas Health Institute
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Provides information on health insurance marketplace enrollment in Kansas from November 1, 2024 to January 15, 2025. Includes health insurance enrollment data by congressional district, county, and ZIP code, as well as county-level data on standalone dental plan enrollment.
Additional links: 2025 Health Insurance Marketplace Enrollment by Congressional District, 2025 Health Insurance Marketplace Enrollment by County, 2025 Health Insurance Marketplace Enrollment by Zip Code, 2025 Health Insurance Marketplace Standalone Dental Plan Enrollment by County
Author(s): Viktoria Sterkhova, Kaci Cink, Cynthia Snyder
Date: 07/2025
Sponsoring organization: Kansas Health Institute
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Associations Between Screen Time Use and Health Outcomes Among US Teenagers
Examines screen use and its correlation to health outcomes in teenagers aged 12 to 17. Utilizes self-reported data from the 2021–2023 National Health Interview Survey-Teen (NHIS-Teen) to analyze physical activity, sleep, weight, and mental health, further broken down by respondent demographics, including metro versus nonmetro location.
Author(s): Benjamin Zablotsky, Amanda E. Ng, Lindsey I. Black, et al.
Citation: Preventing Chronic Disease, 22
Date: 07/2025
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Examines screen use and its correlation to health outcomes in teenagers aged 12 to 17. Utilizes self-reported data from the 2021–2023 National Health Interview Survey-Teen (NHIS-Teen) to analyze physical activity, sleep, weight, and mental health, further broken down by respondent demographics, including metro versus nonmetro location.
Author(s): Benjamin Zablotsky, Amanda E. Ng, Lindsey I. Black, et al.
Citation: Preventing Chronic Disease, 22
Date: 07/2025
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