Rural Health
Resources by Topic: Rural-urban differences
A Comparison of Non-Operating Revenue between Rural and Urban Hospitals
Compares the relative percentage and composition of non-operating revenue (NOR) among Critical Access Hospitals (CAHs), rural Prospective Payment System (R-PPS) hospitals, and urban Prospective Payment System (U-PPS) hospitals from 2011-2019. Describes how hospitals can use NOR to offset negative operating incomes. Presents data on the composition of NOR by hospital type and ownership.
Author(s): Ariana Pitcher, Ruoyu Zhang, Susie Gurzenda, George Pink, Kristin L. Reiter
Date: 11/2023
Sponsoring organization: Flex Monitoring Team
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Compares the relative percentage and composition of non-operating revenue (NOR) among Critical Access Hospitals (CAHs), rural Prospective Payment System (R-PPS) hospitals, and urban Prospective Payment System (U-PPS) hospitals from 2011-2019. Describes how hospitals can use NOR to offset negative operating incomes. Presents data on the composition of NOR by hospital type and ownership.
Author(s): Ariana Pitcher, Ruoyu Zhang, Susie Gurzenda, George Pink, Kristin L. Reiter
Date: 11/2023
Sponsoring organization: Flex Monitoring Team
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2023 Rural-Urban Disparities in Health Care in Medicare
Examines rural/urban differences in the quality of healthcare received by Medicare beneficiaries in 2022, with breakdowns by race and ethnicity. Focuses on patient experience and clinical care measures, including screening for and management of health conditions, medication-related issues, and access to and availability of care.
Date: 11/2023
Sponsoring organizations: Centers for Medicare and Medicaid Services, RAND Corporation
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Examines rural/urban differences in the quality of healthcare received by Medicare beneficiaries in 2022, with breakdowns by race and ethnicity. Focuses on patient experience and clinical care measures, including screening for and management of health conditions, medication-related issues, and access to and availability of care.
Date: 11/2023
Sponsoring organizations: Centers for Medicare and Medicaid Services, RAND Corporation
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Still Searching: Meeting Oral Health Needs in Rural Settings
Report discusses oral health access in rural areas. Compares barriers to care in rural, suburban, and urban communities. Highlights teledentistry use and insurance rates, among other factors.
Author(s): Paige Martin, Morgan Santoro, Lisa J. Heaton, et al.
Date: 11/2023
Sponsoring organization: CareQuest Institute for Oral Health
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Report discusses oral health access in rural areas. Compares barriers to care in rural, suburban, and urban communities. Highlights teledentistry use and insurance rates, among other factors.
Author(s): Paige Martin, Morgan Santoro, Lisa J. Heaton, et al.
Date: 11/2023
Sponsoring organization: CareQuest Institute for Oral Health
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Arizona Child Fatality Review Program: Thirtieth Annual Report
Report offering an overview of 2022 child mortality data in Arizona. Discusses demographics, causes of death, and recommendations for prevention. Includes rural and urban comparisons of mortality rates and risk factors.
Author(s): Kiran Lalani, Susan Newberry, Mary Ellen Rimsza, et al.
Date: 11/2023
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Report offering an overview of 2022 child mortality data in Arizona. Discusses demographics, causes of death, and recommendations for prevention. Includes rural and urban comparisons of mortality rates and risk factors.
Author(s): Kiran Lalani, Susan Newberry, Mary Ellen Rimsza, et al.
Date: 11/2023
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Pre-Pandemic Assessment: A Decade of Progress in Electronic Health Record Adoption among U.S. Hospitals
Assessment of trends in electronic health record adoption between 2009 and 2020. Compares hospitals by rurality, size, ownership, and more. Discusses the impacts of COVID-19.
Author(s): John (Xuefeng) Jiang, Kangkang Qi, Ge Bai, Kevin Schulman
Citation: Health Affairs Scholar, 1(5)
Date: 11/2023
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Assessment of trends in electronic health record adoption between 2009 and 2020. Compares hospitals by rurality, size, ownership, and more. Discusses the impacts of COVID-19.
Author(s): John (Xuefeng) Jiang, Kangkang Qi, Ge Bai, Kevin Schulman
Citation: Health Affairs Scholar, 1(5)
Date: 11/2023
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Cumulative Environmental Quality Is Associated with Breast Cancer Incidence Differentially by Summary Stage and Urbanicity
Identifies associations between environmental factors and breast cancer stages in North Carolina using the Environmental Quality Index (EQI). EQI factors include air, water, land, sociodemographic, and built environments. Includes analysis of urbanicity, race, screenings, and tobacco use.
Author(s): Larisa M. Gearhart-Serna, Brittany A. Mills, Hillary Hsu, et al.
Citation: Scientific Reports, 13, 20301
Date: 11/2023
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Identifies associations between environmental factors and breast cancer stages in North Carolina using the Environmental Quality Index (EQI). EQI factors include air, water, land, sociodemographic, and built environments. Includes analysis of urbanicity, race, screenings, and tobacco use.
Author(s): Larisa M. Gearhart-Serna, Brittany A. Mills, Hillary Hsu, et al.
Citation: Scientific Reports, 13, 20301
Date: 11/2023
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Pharmaceuticalization of Obesity: Empirical Analysis of Metro and Nonmetro Populations, Cognitions and Behavior
Examines perceptions, attitudes, and behavioral intentions related to obesity medications in metro and nonmetro areas. Utilizes 2023 data from Kaiser Family Foundation's Health Tracking Poll to analyze weight loss drug prescriptions across demographic groups.
Author(s): Adee Athiyaman
Date: 11/2023
Sponsoring organization: Illinois Institute for Rural Affairs
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Examines perceptions, attitudes, and behavioral intentions related to obesity medications in metro and nonmetro areas. Utilizes 2023 data from Kaiser Family Foundation's Health Tracking Poll to analyze weight loss drug prescriptions across demographic groups.
Author(s): Adee Athiyaman
Date: 11/2023
Sponsoring organization: Illinois Institute for Rural Affairs
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Why Do Older, White, Rural Residents Have Slower Broadband Speeds?
Evaluates the role of age and rurality in slower broadband speeds for older, white, rural residents. Discusses the concept of a reverse digital divide.
Author(s): Robert Gallardo
Citation: The Daily Yonder
Date: 11/2023
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Evaluates the role of age and rurality in slower broadband speeds for older, white, rural residents. Discusses the concept of a reverse digital divide.
Author(s): Robert Gallardo
Citation: The Daily Yonder
Date: 11/2023
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Cross-Sectional Population-Based Estimates of a Rural-Urban Disparity in Prevalence of Long COVID Among Michigan Adults With Polymerase Chain Reaction-Confirmed COVID-19, 2020–2022
Explores the potential correlation between rurality and experiencing long COVID. Uses the Michigan COVID-19 Recovery Surveillance Study to compare COVID recovery times in rural and urban areas. Breaks down data by age, socioeconomic status, and access to healthcare, among other measures.
Author(s): Colleen L. MacCallum-Bridges, Jana L. Hirschtick, Kristi L. Allgood, et al.
Citation: Journal of Rural Health, 40(2), 303-313
Date: 11/2023
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Explores the potential correlation between rurality and experiencing long COVID. Uses the Michigan COVID-19 Recovery Surveillance Study to compare COVID recovery times in rural and urban areas. Breaks down data by age, socioeconomic status, and access to healthcare, among other measures.
Author(s): Colleen L. MacCallum-Bridges, Jana L. Hirschtick, Kristi L. Allgood, et al.
Citation: Journal of Rural Health, 40(2), 303-313
Date: 11/2023
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U.S. Unemployment Rates for the Prime-Working-Age Population (Ages 25 to 54) in Metro and Nonmetro Areas by Race/Ethnicity, 2007 and 2019–22
Bar chart showing metro and nonmetro unemployment rates in 2007, 2019, 2020, 2021, and 2022 for the following populations aged 25-54: White, Black or African American, and Hispanic or Latino.
Date: 11/2023
Sponsoring organization: USDA Economic Research Service
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Bar chart showing metro and nonmetro unemployment rates in 2007, 2019, 2020, 2021, and 2022 for the following populations aged 25-54: White, Black or African American, and Hispanic or Latino.
Date: 11/2023
Sponsoring organization: USDA Economic Research Service
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