Rural Health
Resources by Topic: Health insurance
Medicare Fee-For-Service Beneficiaries with Opioid Use Disorder in 2018: Disparities in Prevalence by Beneficiary Characteristics
Examines the sociodemographic, Medicare eligibility, clinical, and geographic characteristics of Medicare beneficiaries with opioid use disorder (OUD). Identifies disparities in OUD prevalence among Medicare beneficiaries. Discusses opportunities to tailor policies and interventions to beneficiary groups with high OUD prevalence to ensure access to treatment.
Date: 12/2020
Sponsoring organization: Centers for Medicare and Medicaid Services
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Examines the sociodemographic, Medicare eligibility, clinical, and geographic characteristics of Medicare beneficiaries with opioid use disorder (OUD). Identifies disparities in OUD prevalence among Medicare beneficiaries. Discusses opportunities to tailor policies and interventions to beneficiary groups with high OUD prevalence to ensure access to treatment.
Date: 12/2020
Sponsoring organization: Centers for Medicare and Medicaid Services
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Telemedicine Utilization Report: Telehealth and Telemedicine During the COVID-19 Pandemic
Examines the use of telemedicine to deliver Medicaid-covered services in the state of Minnesota. Describes state and federal telehealth policy waivers and modifications that were temporarily implemented in response to the COVID-19 pandemic. Discusses telehealth use by and special considerations for rural populations.
Author(s): Neerja Singh, Julie Marquardt
Date: 12/2020
Sponsoring organization: Minnesota Department of Human Services
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Examines the use of telemedicine to deliver Medicaid-covered services in the state of Minnesota. Describes state and federal telehealth policy waivers and modifications that were temporarily implemented in response to the COVID-19 pandemic. Discusses telehealth use by and special considerations for rural populations.
Author(s): Neerja Singh, Julie Marquardt
Date: 12/2020
Sponsoring organization: Minnesota Department of Human Services
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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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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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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.
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.
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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Costs of Emergency Department Visits in the United States, 2017
Examines the cost of emergency department (ED) visits in the United States. Includes data by location of patient's residence for large metropolitan, small metro, micropolitan, and rural areas. Topics covered include aggregate costs, average costs, number of ED visits, aggregate costs by age, aggregate costs by community-level income, and aggregate costs by primary expected payer.
Author(s): Brian J. Moore, Lan Liang
Date: 12/2020
Sponsoring organization: Agency for Healthcare Research and Quality
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Examines the cost of emergency department (ED) visits in the United States. Includes data by location of patient's residence for large metropolitan, small metro, micropolitan, and rural areas. Topics covered include aggregate costs, average costs, number of ED visits, aggregate costs by age, aggregate costs by community-level income, and aggregate costs by primary expected payer.
Author(s): Brian J. Moore, Lan Liang
Date: 12/2020
Sponsoring organization: Agency for Healthcare Research and Quality
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Estimated Number of Eligible Part B Beneficiaries for the Medicare Diabetes Prevention Program at the County Level and by Urban–Rural Classification
Utilizes data from 2011-2016 National Health and Nutrition Examination Surveys to estimate the number of Medicare beneficiaries that were eligible for the Medicare Diabetes Prevention Program (MDPP). Provides county-level beneficiary estimates and estimated proportions of prediabetes among older adults by sex, age, and race/ethnicity.
Author(s): Boon Peng Ng, Yiling J. Cheng, Stephanie Rutledge, et al.
Citation: PLoS One, 15(11)
Date: 11/2020
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Utilizes data from 2011-2016 National Health and Nutrition Examination Surveys to estimate the number of Medicare beneficiaries that were eligible for the Medicare Diabetes Prevention Program (MDPP). Provides county-level beneficiary estimates and estimated proportions of prediabetes among older adults by sex, age, and race/ethnicity.
Author(s): Boon Peng Ng, Yiling J. Cheng, Stephanie Rutledge, et al.
Citation: PLoS One, 15(11)
Date: 11/2020
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Frontier Community Health Integration Project (FCHIP) Demonstration Evaluation: Final Evaluation Report
Presents findings from an evaluation of the Frontier Community Health Integration Project (FCHIP) Demonstration. Describes the three possible interventions, including their impact, progress and accomplishments, challenges, and lessons learned. Identifies commonalities that emerged across the FCHIP interventions that may inform future demonstrations among rural healthcare providers.
Additional links: Findings At-A-Glance
Date: 11/2020
Sponsoring organizations: Centers for Medicare and Medicaid Services, RTI International
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Presents findings from an evaluation of the Frontier Community Health Integration Project (FCHIP) Demonstration. Describes the three possible interventions, including their impact, progress and accomplishments, challenges, and lessons learned. Identifies commonalities that emerged across the FCHIP interventions that may inform future demonstrations among rural healthcare providers.
Additional links: Findings At-A-Glance
Date: 11/2020
Sponsoring organizations: Centers for Medicare and Medicaid Services, RTI International
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Informing Health Care Workforce Policy by Leveraging Data: A Toolkit for States
Describes how healthcare workforce data can be used to address questions regarding access to care. Discusses three key considerations for states to improve their healthcare workforce data collection practices. Includes examples from states that utilized data to inform policy.
Date: 11/2020
Sponsoring organization: National Governors Association
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Describes how healthcare workforce data can be used to address questions regarding access to care. Discusses three key considerations for states to improve their healthcare workforce data collection practices. Includes examples from states that utilized data to inform policy.
Date: 11/2020
Sponsoring organization: National Governors Association
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