Rural Health
Resources by Topic: Statistics and data
Examining Rural Hospital Bypass for Inpatient Services
Explores the drivers of rural hospital bypass for inpatient services. Examines demographic characteristics, why patients bypassed their nearest rural hospital, how the local supply of healthcare services affects rural hospital bypass, and if health insurance networks or cost affect the decision to bypass rural hospitals.
Date: 12/2020
Sponsoring organization: Centers for Medicare and Medicaid Services
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Explores the drivers of rural hospital bypass for inpatient services. Examines demographic characteristics, why patients bypassed their nearest rural hospital, how the local supply of healthcare services affects rural hospital bypass, and if health insurance networks or cost affect the decision to bypass rural hospitals.
Date: 12/2020
Sponsoring organization: Centers for Medicare and Medicaid Services
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Opioids in Medicaid: Concerns About Opioid Use Among Beneficiaries in Six Appalachian States in 2018
Examines the rates of opioid use of Medicaid beneficiaries in 6 Appalachian states in 2018. Discusses the amount of the prescriptions issued, the amounts of opioids received, and the amount of providers with questionable prescribing practices, among other opioid-related measures.
Date: 12/2020
Sponsoring organization: Office of Inspector General (HHS)
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Examines the rates of opioid use of Medicaid beneficiaries in 6 Appalachian states in 2018. Discusses the amount of the prescriptions issued, the amounts of opioids received, and the amount of providers with questionable prescribing practices, among other opioid-related measures.
Date: 12/2020
Sponsoring organization: Office of Inspector General (HHS)
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How Might Internet Connectivity Affect Health Care Access?
Describes how a lack of internet access may negatively impact access to healthcare. Features data and statistics on internet access, with information broken down by race/ethnicity, age, poverty level, insurance status and type, and metropolitan/nonmetropolitan location. Discusses COVID-19 and how social distancing measures have led to increased implementation of telehealth, resulting in additional challenges accessing healthcare among people with little to no internet connectivity.
Author(s): Krutika Amin, Matthew Rae, Giorlando Ramirez, Cynthia Cox
Date: 12/2020
Sponsoring organization: KFF
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Describes how a lack of internet access may negatively impact access to healthcare. Features data and statistics on internet access, with information broken down by race/ethnicity, age, poverty level, insurance status and type, and metropolitan/nonmetropolitan location. Discusses COVID-19 and how social distancing measures have led to increased implementation of telehealth, resulting in additional challenges accessing healthcare among people with little to no internet connectivity.
Author(s): Krutika Amin, Matthew Rae, Giorlando Ramirez, Cynthia Cox
Date: 12/2020
Sponsoring organization: KFF
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An Evidence-Based Walking Program in Oregon Communities: Step It Up! Survivors
Describes the implementation and effectiveness of Step It Up! Survivors (SIUS), an evidence-based program designed to help promote social connections and increase physical activity among cancer survivors and their family and friends. Discusses the acceptability, feasibility, cost, sustainability, and other factors associated with implementing SIUS in Oregon, including responses from 6 rural organizations.
Author(s): Cynthia K. Perry, Laura P. Campbell, Jessica Currier, et al.
Citation: Preventing Chronic Disease, 17
Date: 12/2020
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Describes the implementation and effectiveness of Step It Up! Survivors (SIUS), an evidence-based program designed to help promote social connections and increase physical activity among cancer survivors and their family and friends. Discusses the acceptability, feasibility, cost, sustainability, and other factors associated with implementing SIUS in Oregon, including responses from 6 rural organizations.
Author(s): Cynthia K. Perry, Laura P. Campbell, Jessica Currier, et al.
Citation: Preventing Chronic Disease, 17
Date: 12/2020
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Substance Use Disorder: Reliable Data Needed for Substance Abuse Prevention and Treatment Block Grant Program
Reviews what is known about the number of substance use disorder (SUD) treatment facilities and services, overall treatment capacity, and barriers to expanding capacity. Describes the Substance Abuse Prevention and Treatment Block Grant (SABG), State Targeted Response to the Opioid Crisis (STR) and State Opioid Response (SOR) programs, and examines how seven states utilized these programs. Evaluates the data used to assess the effectiveness of these programs, and offers recommendations to improve the reliability of data collected on individuals served by the SABG program.
Additional links: Full Report
Date: 12/2020
Sponsoring organization: Government Accountability Office
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Reviews what is known about the number of substance use disorder (SUD) treatment facilities and services, overall treatment capacity, and barriers to expanding capacity. Describes the Substance Abuse Prevention and Treatment Block Grant (SABG), State Targeted Response to the Opioid Crisis (STR) and State Opioid Response (SOR) programs, and examines how seven states utilized these programs. Evaluates the data used to assess the effectiveness of these programs, and offers recommendations to improve the reliability of data collected on individuals served by the SABG program.
Additional links: Full Report
Date: 12/2020
Sponsoring organization: Government Accountability Office
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Changes in Poverty Rates and Poverty Areas Over Time: 2005 to 2019
Examines changes in county poverty rates, the prevalence of poverty areas, and changes in their distribution over three time periods: 2005-2009, 2010-2014, and 2015-2019.
Author(s): Alemayehu Bishaw, Craig Benson, Emily Shrider, Brian Glassman
Date: 12/2020
Sponsoring organization: U.S. Census Bureau
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Examines changes in county poverty rates, the prevalence of poverty areas, and changes in their distribution over three time periods: 2005-2009, 2010-2014, and 2015-2019.
Author(s): Alemayehu Bishaw, Craig Benson, Emily Shrider, Brian Glassman
Date: 12/2020
Sponsoring organization: U.S. Census Bureau
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COVID-19 Mortality Among American Indian and Alaska Native Persons — 14 States, January–June 2020
Reports on age-adjusted COVID-19-associated mortality for American Indian and Alaska Native (AI/AN) and non-Hispanic White populations, based on data from 14 states. Includes data by sex and by age group.
Author(s): Jessica Arrazola, Matthew M. Masiello, Sujata Joshi, et al.
Citation: MMWR (Morbidity and Mortality Weekly Report), 69(49), 1853-1856
Date: 12/2020
Sponsoring organization: Centers for Disease Control and Prevention
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Reports on age-adjusted COVID-19-associated mortality for American Indian and Alaska Native (AI/AN) and non-Hispanic White populations, based on data from 14 states. Includes data by sex and by age group.
Author(s): Jessica Arrazola, Matthew M. Masiello, Sujata Joshi, et al.
Citation: MMWR (Morbidity and Mortality Weekly Report), 69(49), 1853-1856
Date: 12/2020
Sponsoring organization: Centers for Disease Control and Prevention
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Association of CMS-HCC Risk Scores with Health Care Utilization among Rural and Urban Medicare Beneficiaries
Research brief exploring healthcare utilization by rural and urban Medicare beneficiaries in order to better understand CMS Hierarchical Condition Categories (HCCs) and accurately apply the CMS-HCC risk score model. Analyzes 2014 CMS-HCC risk score data for different healthcare outcomes, including inpatient and outpatient ER visits, acute inpatient stays, and hospital readmissions, comparing rural and urban populations.
Author(s): Tyler Malone, Denise Kirk, Randy Randolph, Kristin Reiter
Date: 12/2020
Sponsoring organization: North Carolina Rural Health Research Program
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Research brief exploring healthcare utilization by rural and urban Medicare beneficiaries in order to better understand CMS Hierarchical Condition Categories (HCCs) and accurately apply the CMS-HCC risk score model. Analyzes 2014 CMS-HCC risk score data for different healthcare outcomes, including inpatient and outpatient ER visits, acute inpatient stays, and hospital readmissions, comparing rural and urban populations.
Author(s): Tyler Malone, Denise Kirk, Randy Randolph, Kristin Reiter
Date: 12/2020
Sponsoring organization: North Carolina Rural Health Research Program
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CMS Hierarchical Condition Category (HCC) 2014 Risk Scores Are Lower for Rural Medicare Beneficiaries than for Urban Beneficiaries
Research brief discussing the Hierarchical Condition Category (HCC) risk adjustment model developed by the Centers for Medicare and Medicaid Services (CMS), comparing data on metropolitan, micropolitan, and non-core regions. Presents data on beneficiary distribution, average risk scores, risk scores by race/ethnicity, and healthcare utilization using 2014 CMS Risk Score Files, which were the only data available.
Author(s): Tyler Malone, Denise Kirk, Randy Randolph, Kristin Reiter
Date: 12/2020
Sponsoring organization: North Carolina Rural Health Research Program
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Research brief discussing the Hierarchical Condition Category (HCC) risk adjustment model developed by the Centers for Medicare and Medicaid Services (CMS), comparing data on metropolitan, micropolitan, and non-core regions. Presents data on beneficiary distribution, average risk scores, risk scores by race/ethnicity, and healthcare utilization using 2014 CMS Risk Score Files, which were the only data available.
Author(s): Tyler Malone, Denise Kirk, Randy Randolph, Kristin Reiter
Date: 12/2020
Sponsoring organization: North Carolina Rural Health Research Program
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Characteristics of Residential Care Communities by Percentage of Resident Population Diagnosed With Dementia: United States, 2016
Examines characteristics of residential care communities and their residents by the prevalence of Alzheimer's disease and other dementias. Includes dementia prevalence data for metropolitan and nonmetro areas.
Author(s): Manisha Sengupta, Christine Caffrey
Date: 12/2020
Sponsoring organization: National Center for Health Statistics
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Examines characteristics of residential care communities and their residents by the prevalence of Alzheimer's disease and other dementias. Includes dementia prevalence data for metropolitan and nonmetro areas.
Author(s): Manisha Sengupta, Christine Caffrey
Date: 12/2020
Sponsoring organization: National Center for Health Statistics
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