Rural Health
Resources by Topic: Rural-urban differences
'Rurality' of Nonmetropolitan Counties Varies Across Regions
Presents a map of metro and nonmetro counties based on the 2023 Rural-Urban Continuum Codes (RUCC). Breaks down the counties on a nine-level scale of rurality.
Date: 04/2024
Sponsoring organization: USDA Economic Research Service
view details
Presents a map of metro and nonmetro counties based on the 2023 Rural-Urban Continuum Codes (RUCC). Breaks down the counties on a nine-level scale of rurality.
Date: 04/2024
Sponsoring organization: USDA Economic Research Service
view details
Effects of the Communities that Heal (CTH) Intervention on Perceived Opioid-Related Community Stigma in the HEALing Communities Study: Results of a Multi-Site, Community-Level, Cluster-Randomized Trial
Examines levels of community stigma toward naloxone use, medication for opioid use disorder (MOUD), and people treated for opioid use disorder (OUD), as related to different periods during the Communities that Heal (CTH) intervention. Analyzes survey data from 66 communities across 4 states by rural-urban status regarding their perceptions of OUD. Discusses implications of the intervention for rural communities addressing OUD and stigma.
Author(s): Alissa Davis, Hannah K. Knudsen, Daniel M. Walker, et al.
Citation: The Lancet Regional Health - Americas, 32
Date: 04/2024
view details
Examines levels of community stigma toward naloxone use, medication for opioid use disorder (MOUD), and people treated for opioid use disorder (OUD), as related to different periods during the Communities that Heal (CTH) intervention. Analyzes survey data from 66 communities across 4 states by rural-urban status regarding their perceptions of OUD. Discusses implications of the intervention for rural communities addressing OUD and stigma.
Author(s): Alissa Davis, Hannah K. Knudsen, Daniel M. Walker, et al.
Citation: The Lancet Regional Health - Americas, 32
Date: 04/2024
view details
Access to Preferred Skilled Nursing Facilities: Transitional Care Pathways for Patients with Alzheimer's Disease and Related Dementias
Examines the ability of patients with Alzheimer's disease and related dementias (ADRD) to access their preferred skilled nursing facility (SNF). Analyzes 2017-2019 data from 3,019,260 Medicare hospitalizations that resulted in an SNF transfer, with breakdowns according to distance to care, level of rurality, and other characteristics.
Author(s): Dori A. Cross, Taylor I. Bucy, Momotazur Rahman, John P. McHugh
Citation: Health Services Research, 59(2)
Date: 04/2024
view details
Examines the ability of patients with Alzheimer's disease and related dementias (ADRD) to access their preferred skilled nursing facility (SNF). Analyzes 2017-2019 data from 3,019,260 Medicare hospitalizations that resulted in an SNF transfer, with breakdowns according to distance to care, level of rurality, and other characteristics.
Author(s): Dori A. Cross, Taylor I. Bucy, Momotazur Rahman, John P. McHugh
Citation: Health Services Research, 59(2)
Date: 04/2024
view details
Rural/Urban Differences in Rates and Predictors of Intimate Partner Violence and Abuse Screening among Pregnant and Postpartum United States Residents
Examines rates, predictors, and screening of perinatal intimate partner violence (IPV) victims after giving birth. Utilizes national data from the 2016-2020 Pregnancy Risk Assessment Monitoring System (PRAMS) to analyze rural versus urban IPV according to demographic variables, comorbidities, screening rates, and more.
Author(s): Katy Backes Kozhimannil, Emily C. Sheffield, Alyssa H. Fritz, et al.
Citation: Health Services Research, 59(2), e14212
Date: 04/2024
view details
Examines rates, predictors, and screening of perinatal intimate partner violence (IPV) victims after giving birth. Utilizes national data from the 2016-2020 Pregnancy Risk Assessment Monitoring System (PRAMS) to analyze rural versus urban IPV according to demographic variables, comorbidities, screening rates, and more.
Author(s): Katy Backes Kozhimannil, Emily C. Sheffield, Alyssa H. Fritz, et al.
Citation: Health Services Research, 59(2), e14212
Date: 04/2024
view details
What Happens to Rural Hospitals During a Ransomware Attack? Evidence from Medicare Data
Explores the effects of ransomware attacks on hospital operations. Analyzes data from the Tracking Healthcare Ransomware Events and Traits (THREAT) database, which includes information for every hospital identified as experiencing a ransomware attack between 2016 and 2021, and linked to Medicare fee-for-service (FFS) claims data. Compares the characteristics of rural and urban hospitals that experienced a ransomware attack. Describes the impact of ransomware attacks on rural and urban inpatient admissions, outpatient and emergency room visit volume, and travel distance and time to the next closest hospital not experiencing an attack.
Author(s): Hannah T. Neprash, Claire C. McGlave, Katie Rydberg, Carrie Henning-Smith
Citation: Journal of Rural Health, 40(4), 728-737
Date: 03/2024
view details
Explores the effects of ransomware attacks on hospital operations. Analyzes data from the Tracking Healthcare Ransomware Events and Traits (THREAT) database, which includes information for every hospital identified as experiencing a ransomware attack between 2016 and 2021, and linked to Medicare fee-for-service (FFS) claims data. Compares the characteristics of rural and urban hospitals that experienced a ransomware attack. Describes the impact of ransomware attacks on rural and urban inpatient admissions, outpatient and emergency room visit volume, and travel distance and time to the next closest hospital not experiencing an attack.
Author(s): Hannah T. Neprash, Claire C. McGlave, Katie Rydberg, Carrie Henning-Smith
Citation: Journal of Rural Health, 40(4), 728-737
Date: 03/2024
view details
Disease-Related Mortality Gap is Growing between U.S. Rural and Urban Areas
Bar graph showing changes in disease-related mortality between 1999-2001 and 2017-2019 by age group in urban and rural populations.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
view details
Bar graph showing changes in disease-related mortality between 1999-2001 and 2017-2019 by age group in urban and rural populations.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
view details
Eviction and the Rental Housing Crisis in Rural America
Analyzes 220,000 renter evictions taking place in rural counties. Utilizes 2000-2018 data from Eviction Lab's national eviction database and includes data breakdowns according to rural versus urban evictions, race/ethnicity, family structure, work and poverty, housing market, and more.
Author(s): Carl Gershenson, Matthew Desmond
Citation: Rural Sociology, 89(1), 86-105
Date: 03/2024
view details
Analyzes 220,000 renter evictions taking place in rural counties. Utilizes 2000-2018 data from Eviction Lab's national eviction database and includes data breakdowns according to rural versus urban evictions, race/ethnicity, family structure, work and poverty, housing market, and more.
Author(s): Carl Gershenson, Matthew Desmond
Citation: Rural Sociology, 89(1), 86-105
Date: 03/2024
view details
County Rurality and Incidence and Prevalence of Diagnosed Diabetes in the United States
Evaluates incidence and prevalence of diagnosed diabetes by rurality at the county level, utilizing 2004-2019 Behavioral Risk Factor Surveillance System data. Analyzes the impact of food environment, obesity, physical activity, and other sociodemographic factors on rural-urban differences in diabetes incidence and prevalence. Includes regional comparisons.
Author(s): Sagar B. Dugani, Brian D. Lahr, Hui Xie, et al.
Citation: Mayo Clinic Proceedings, 99(7), 1078-1090
Date: 03/2024
view details
Evaluates incidence and prevalence of diagnosed diabetes by rurality at the county level, utilizing 2004-2019 Behavioral Risk Factor Surveillance System data. Analyzes the impact of food environment, obesity, physical activity, and other sociodemographic factors on rural-urban differences in diabetes incidence and prevalence. Includes regional comparisons.
Author(s): Sagar B. Dugani, Brian D. Lahr, Hui Xie, et al.
Citation: Mayo Clinic Proceedings, 99(7), 1078-1090
Date: 03/2024
view details
Survival Disparities in Rural Versus Urban Patients with Pancreatic Neuroendocrine Tumor: A Multi-Institutional Study from the US Neuroendocrine Tumor Study Group
Compares overall survival of 1176 rural and urban patients who underwent pancreatic neoendocrine tumor (PNET) resection between 2000 and 2016, utilizing U.S. Neuroendocrine Tumor Study Group data. Includes data on tumor pathology and patient management factors. Discusses barriers to care after PNET diagnosis for rural populations.
Author(s): Muhammad Bilal Mirza, Jordan J. Baechle, Paula Marincola Smith, et al.
Citation: The American Journal of Surgery, 233, 125-131
Date: 03/2024
view details
Compares overall survival of 1176 rural and urban patients who underwent pancreatic neoendocrine tumor (PNET) resection between 2000 and 2016, utilizing U.S. Neuroendocrine Tumor Study Group data. Includes data on tumor pathology and patient management factors. Discusses barriers to care after PNET diagnosis for rural populations.
Author(s): Muhammad Bilal Mirza, Jordan J. Baechle, Paula Marincola Smith, et al.
Citation: The American Journal of Surgery, 233, 125-131
Date: 03/2024
view details
Disparities in Continuous Glucose Monitor Use Between Children With Type 1 Diabetes Living in Urban and Rural Areas
Examines the uptake of continuous glucose monitoring (CGM) technology in children with type 1 diabetes. Utilizes 2018-2021 electronic health record (EHR) data to observe CGM use according to patient sex, race/ethnicity, age, insurance type, and rurality. Discusses disparities among rural and urban populations.
Author(s): Daniel R. Tilden, Benjamin French, Karishma A. Datye, Sarah S. Jaser
Citation: Diabetes Care, 47(3), 346-352
Date: 03/2024
view details
Examines the uptake of continuous glucose monitoring (CGM) technology in children with type 1 diabetes. Utilizes 2018-2021 electronic health record (EHR) data to observe CGM use according to patient sex, race/ethnicity, age, insurance type, and rurality. Discusses disparities among rural and urban populations.
Author(s): Daniel R. Tilden, Benjamin French, Karishma A. Datye, Sarah S. Jaser
Citation: Diabetes Care, 47(3), 346-352
Date: 03/2024
view details