Rural Health
Resources by Topic: Statistics and data
Association Between Obesogenic Environments and Childhood Overweight/Obesity Across the United States: Differences by Rurality
Examines the impact of environmental factors on childhood obesity in rural areas. Utilizes the Childhood Obesogenic Environment Index (COEI) to analyze statistical differences in rural versus urban counties in the U.S. Discusses the relationship of COEI variables and childhood overweight/obesity rates.
Author(s): Kara Davis, Demetrius A. Abshire, Courtney Monroe, Caroline Rudisill, Andrew T. Kaczynski
Citation: Journal of Rural Health, 41(2)
Date: 2025
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Examines the impact of environmental factors on childhood obesity in rural areas. Utilizes the Childhood Obesogenic Environment Index (COEI) to analyze statistical differences in rural versus urban counties in the U.S. Discusses the relationship of COEI variables and childhood overweight/obesity rates.
Author(s): Kara Davis, Demetrius A. Abshire, Courtney Monroe, Caroline Rudisill, Andrew T. Kaczynski
Citation: Journal of Rural Health, 41(2)
Date: 2025
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Travel Burden and Bypassing Closest Site for Surgical Cancer Treatment for Urban and Rural Oncology Patients
Examines travel burden to surgical cancer care and its relationship to rurality, bypassing of the nearest surgical site, and mortality rates. Analyzes 2016-218 data of 211,025 Medicare beneficiaries with cancer and includes breakdowns for type of cancer, surgery versus no surgery, patient demographics, patient health conditions, travel time, mortality rates, and location of metro, micro, or small town/rural.
Author(s): Tracy Onega, Niveditta Ramkumar, Gabriel A. Brooks, et al.
Citation: Journal of Rural Health, 41(2)
Date: 2025
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Examines travel burden to surgical cancer care and its relationship to rurality, bypassing of the nearest surgical site, and mortality rates. Analyzes 2016-218 data of 211,025 Medicare beneficiaries with cancer and includes breakdowns for type of cancer, surgery versus no surgery, patient demographics, patient health conditions, travel time, mortality rates, and location of metro, micro, or small town/rural.
Author(s): Tracy Onega, Niveditta Ramkumar, Gabriel A. Brooks, et al.
Citation: Journal of Rural Health, 41(2)
Date: 2025
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An Updated Model of Rural Hospital Financial Distress
Discusses a potential model to predict financial distress in rural hospitals, including negative cash flow margin, negative equity, or closure of facility. Tests 2,311 rural hospitals from 2013 to 2019 with the model and discusses its potential to predict financial distress and create accurate assessments.
Author(s): Tyler L. Malone, George H. Pink, George M. Holmes
Citation: Journal of Rural Health, 41(2)
Date: 2025
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Discusses a potential model to predict financial distress in rural hospitals, including negative cash flow margin, negative equity, or closure of facility. Tests 2,311 rural hospitals from 2013 to 2019 with the model and discusses its potential to predict financial distress and create accurate assessments.
Author(s): Tyler L. Malone, George H. Pink, George M. Holmes
Citation: Journal of Rural Health, 41(2)
Date: 2025
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Drive Time to Care and Retention in HIV Care: Rural–Urban Differences Among Medicaid Enrollees in the United States South
Presents a study on the role geography plays in HIV care retention and maintenance. Draws data from Medicaid enrollees in 13 southern states including the District of Columbia and compares patient drive times to care in rural and urban areas. Breaks down data by county social determinants of health, healthcare supply, and HIV prevalence, as well as patient characteristics.
Author(s): April D. Kimmel, Rose S. Bono, Zhongzhe Pan, et al.
Citation: Journal of Rural Health, 41(1), e12877
Date: 2025
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Presents a study on the role geography plays in HIV care retention and maintenance. Draws data from Medicaid enrollees in 13 southern states including the District of Columbia and compares patient drive times to care in rural and urban areas. Breaks down data by county social determinants of health, healthcare supply, and HIV prevalence, as well as patient characteristics.
Author(s): April D. Kimmel, Rose S. Bono, Zhongzhe Pan, et al.
Citation: Journal of Rural Health, 41(1), e12877
Date: 2025
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Home Health Utilization in the Veterans Health Administration: Are there Rural and Urban Differences?
Examines home health usage and access among veterans in rural and urban areas. Utilizes 2019-2021 Veterans Health Administration (VA) data to analyze rural versus urban home health use, with data broken down by patient sociodemographic variables as well as number of visits.
Author(s): Heather Davila, Bradely Mayfield, Michelle A. Mengeling, et al.
Citation: Journal of Rural Health, 41(1), e12865
Date: 2025
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Examines home health usage and access among veterans in rural and urban areas. Utilizes 2019-2021 Veterans Health Administration (VA) data to analyze rural versus urban home health use, with data broken down by patient sociodemographic variables as well as number of visits.
Author(s): Heather Davila, Bradely Mayfield, Michelle A. Mengeling, et al.
Citation: Journal of Rural Health, 41(1), e12865
Date: 2025
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The Uneven Impact of Medicaid Expansion on Rural and Urban Black, Latino/a, and White Mortality
Examines mortality rates and the corresponding impact of Medicaid expansion on Black, Latino/a, and White populations, broken down by rural versus urban location. Utilizes 2009-2019 data of Average Treatment Effect on the Treated (ATET) estimates to provide statistical breakdowns and graphic representation of how Medicaid expansion has impacted mortality rates for varying populations.
Author(s): J. Tom Mueller, Regina S. Baker, Matthew M. Brooks
Citation: Journal of Rural Health, 41(1), e12859
Date: 2025
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Examines mortality rates and the corresponding impact of Medicaid expansion on Black, Latino/a, and White populations, broken down by rural versus urban location. Utilizes 2009-2019 data of Average Treatment Effect on the Treated (ATET) estimates to provide statistical breakdowns and graphic representation of how Medicaid expansion has impacted mortality rates for varying populations.
Author(s): J. Tom Mueller, Regina S. Baker, Matthew M. Brooks
Citation: Journal of Rural Health, 41(1), e12859
Date: 2025
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Associations Between COVID-19 Therapies and Outcomes in Rural and Urban America: A Multisite, Temporal Analysis from the Alpha to Omicron SARS-CoV-2 Variants
Examines COVID-19 treatment, health outcomes, and mortality disparities in rural and urban areas of the United States. Analyzes 2021-2023 National COVID Cohort Collaborative (N3C) data from 3,018,646 patients to break down COVID-19 disparities according to patient demographics, vaccine status, comorbidities, U.S. Census region, and adverse inpatient events, as well as urban, urban-adjacent, or nonurban-adjacent location.
Author(s): A. Jerrod Anzalone, William H. Beasley, Kimberly Murray, et al.
Citation: Journal of Rural Health, 41(1), e12857
Date: 2025
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Examines COVID-19 treatment, health outcomes, and mortality disparities in rural and urban areas of the United States. Analyzes 2021-2023 National COVID Cohort Collaborative (N3C) data from 3,018,646 patients to break down COVID-19 disparities according to patient demographics, vaccine status, comorbidities, U.S. Census region, and adverse inpatient events, as well as urban, urban-adjacent, or nonurban-adjacent location.
Author(s): A. Jerrod Anzalone, William H. Beasley, Kimberly Murray, et al.
Citation: Journal of Rural Health, 41(1), e12857
Date: 2025
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Trends in and Factors Associated with Family Physician-Performed Screening Colonoscopies in the United States: 2016-2021
Examines factors and trends related to family physician (FP)-performed colonoscopy screenings. Analyzes 2016-2021 insurance claims data from 2,943,900 qualified colonoscopies, with data breakdowns according to patient demographics, accrued charges, region, and urban-rural classification, including large central metro, large fringe metro, medium metro, small metro, micropolitan, and noncore. Discusses the impact of FP-performed colonoscopy screenings for certain populations, including rural.
Author(s): Nicholas Edwardson, David van der Goes, V. Shane Pankratz, et al.
Citation: Journal of Rural Health, 41(1)
Date: 2025
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Examines factors and trends related to family physician (FP)-performed colonoscopy screenings. Analyzes 2016-2021 insurance claims data from 2,943,900 qualified colonoscopies, with data breakdowns according to patient demographics, accrued charges, region, and urban-rural classification, including large central metro, large fringe metro, medium metro, small metro, micropolitan, and noncore. Discusses the impact of FP-performed colonoscopy screenings for certain populations, including rural.
Author(s): Nicholas Edwardson, David van der Goes, V. Shane Pankratz, et al.
Citation: Journal of Rural Health, 41(1)
Date: 2025
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Provider-to-Provider Telemedicine for Sepsis Is Used Less Frequently in Communities with High Social Vulnerability
Examines the relationship between provider-to-provider emergency department-based telehealth consultation (tele-ED) and the prevalence of sepsis in counties with elevated social vulnerability index (SVI) scores. Analyzes 2016-2019 data from 1191 patients treated in rural, Midwestern EDs, with breakdowns according to patient, provider, hospital, and county characteristics. Discusses the relationship between SVI scores and tele-ED use.
Author(s): Kevin J. Tu, J. Priyanka Vakkalanka, Uche E. Okoro, et al.
Citation: Journal of Rural Health, 41(1), e12861
Date: 2025
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Examines the relationship between provider-to-provider emergency department-based telehealth consultation (tele-ED) and the prevalence of sepsis in counties with elevated social vulnerability index (SVI) scores. Analyzes 2016-2019 data from 1191 patients treated in rural, Midwestern EDs, with breakdowns according to patient, provider, hospital, and county characteristics. Discusses the relationship between SVI scores and tele-ED use.
Author(s): Kevin J. Tu, J. Priyanka Vakkalanka, Uche E. Okoro, et al.
Citation: Journal of Rural Health, 41(1), e12861
Date: 2025
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Health Care Access Barriers Among Metropolitan and Nonmetropolitan Populations of Eight Geographically Diverse States, 2018
Reports on healthcare access and demographic differences in metro and nonmetro populations. Utilizes Behavioral Risk Factor Surveillance System (BRFSS) data to observe differences in noncore, micropolitan, and metropolitan sociodemographics and access barriers such as insurance, cost, non-financial delays in care, and more.
Author(s): Whitney E. Zahnd, Peiyin Hung, Elizabeth L. Crouch, Radhika Ranganathan, Jan M. Eberth
Citation: Journal of Rural Health, 41(1), e12855
Date: 2025
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Reports on healthcare access and demographic differences in metro and nonmetro populations. Utilizes Behavioral Risk Factor Surveillance System (BRFSS) data to observe differences in noncore, micropolitan, and metropolitan sociodemographics and access barriers such as insurance, cost, non-financial delays in care, and more.
Author(s): Whitney E. Zahnd, Peiyin Hung, Elizabeth L. Crouch, Radhika Ranganathan, Jan M. Eberth
Citation: Journal of Rural Health, 41(1), e12855
Date: 2025
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