Rural Health
Resources by Topic: Rural-urban differences
Public Transit Stop Density Is Associated With Walking for Exercise Among a National Sample of Older Adults
Examines the relationship between density of neighborhood public transit stops and walking for exercise among older adults. Analyzes 2018 neighborhood data and self-reported exercise along with sociodemographic characteristics, economic status, and disability status. Includes discussion about built environment and metro versus nonmetro comparisons.
Author(s): Erica Twardzik, Jason R. Falvey, Philippa J. Clarke, Vicki A. Freedman, Jennifer A. Schrack
Citation: BMC Geriatrics, 23, 596
Date: 09/2023
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Examines the relationship between density of neighborhood public transit stops and walking for exercise among older adults. Analyzes 2018 neighborhood data and self-reported exercise along with sociodemographic characteristics, economic status, and disability status. Includes discussion about built environment and metro versus nonmetro comparisons.
Author(s): Erica Twardzik, Jason R. Falvey, Philippa J. Clarke, Vicki A. Freedman, Jennifer A. Schrack
Citation: BMC Geriatrics, 23, 596
Date: 09/2023
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Evaluation of Technology Modernization for SNAP Benefit Redemption Through Online Transactions: Final Evaluation Report
Examines operations of the online purchasing pilot (OPP) that allowed Supplemental Nutrition Assistance Program (SNAP) retailers to redeem benefits online. Analyzes data from the pilot launch in April 2019 and through the COVID-19 pandemic, with a focus on online purchasing differences between urban and rural populations, frequency of use, and delivery options of participants.
Additional links: Summary
Author(s): Michele Mendelson, Ayesha Enver, Shannon Hitchcock, et al.
Date: 09/2023
Sponsoring organization: USDA Food and Nutrition Service
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Examines operations of the online purchasing pilot (OPP) that allowed Supplemental Nutrition Assistance Program (SNAP) retailers to redeem benefits online. Analyzes data from the pilot launch in April 2019 and through the COVID-19 pandemic, with a focus on online purchasing differences between urban and rural populations, frequency of use, and delivery options of participants.
Additional links: Summary
Author(s): Michele Mendelson, Ayesha Enver, Shannon Hitchcock, et al.
Date: 09/2023
Sponsoring organization: USDA Food and Nutrition Service
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Long COVID in Adults: United States, 2022
Provides 2022 National Health Interview Survey data on adults with long COVID according to sex, age, race/ethnicity, family income, and large central metropolitan, large fringe metropolitan, medium and small metropolitan, or nonmetropolitan location.
Author(s): Dzifa Adjaye-Gbewonyo, Anjel Vahratian, Cria G. Perrine, Jeanne Bertolli
Date: 09/2023
Sponsoring organization: National Center for Health Statistics
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Provides 2022 National Health Interview Survey data on adults with long COVID according to sex, age, race/ethnicity, family income, and large central metropolitan, large fringe metropolitan, medium and small metropolitan, or nonmetropolitan location.
Author(s): Dzifa Adjaye-Gbewonyo, Anjel Vahratian, Cria G. Perrine, Jeanne Bertolli
Date: 09/2023
Sponsoring organization: National Center for Health Statistics
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Guideline-Discordant Inhaler Regimens after COPD Hospitalization: Associations with Rurality, Drive Time to Care, and Fragmented Care – a United States Cohort Study
Examines the factors related to guideline-discordant inhaler regimens following chronic obstructive pulmonary disease (COPD) hospitalization. Analyzes 33,785 patient inhaler prescriptions between 2017-2020 according to rurality, drive time to pulmonary specialty care, and fragmented care.
Author(s): Arianne K. Baldomero, Ken M. Kunisaki, Chris H. Wendt, et al.
Citation: The Lancet Regional Health - Americas, 26
Date: 09/2023
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Examines the factors related to guideline-discordant inhaler regimens following chronic obstructive pulmonary disease (COPD) hospitalization. Analyzes 33,785 patient inhaler prescriptions between 2017-2020 according to rurality, drive time to pulmonary specialty care, and fragmented care.
Author(s): Arianne K. Baldomero, Ken M. Kunisaki, Chris H. Wendt, et al.
Citation: The Lancet Regional Health - Americas, 26
Date: 09/2023
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Assessing the Association Between Food Environment and Dietary Inflammation by Community Type: A Cross-Sectional REGARDS Study
Analyzes the correlation between community type and food environments. Examines 2003-2007 data from 20,322 individuals according to higher density urban, lower density urban, suburban/small town, and rural. Discusses the association between community type and their respective dietary inflammation score (DIS) as well as potential interventions for these locations.
Author(s): Yasemin Algur, Pasquale E. Rummo, Tara P. McAlexander, et al.
Citation: International Journal of Health Geographics, 22, 24
Date: 09/2023
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Analyzes the correlation between community type and food environments. Examines 2003-2007 data from 20,322 individuals according to higher density urban, lower density urban, suburban/small town, and rural. Discusses the association between community type and their respective dietary inflammation score (DIS) as well as potential interventions for these locations.
Author(s): Yasemin Algur, Pasquale E. Rummo, Tara P. McAlexander, et al.
Citation: International Journal of Health Geographics, 22, 24
Date: 09/2023
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Medicare Switching: Patterns Of Enrollment Growth In Medicare Advantage, 2006–22
Analyzes enrollment in Medicare Advantage (MA) and traditional Medicare between 2006 and 2022 to identify trends in switching services. Discusses demographic and geographic characteristics of those who switched including rurality.
Author(s): Lanlan Xu, W. Pete Welch, Steven Sheingold, Nancy De Lew, Benjamin D. Sommers
Citation: Health Affairs, 42(9)
Date: 09/2023
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Analyzes enrollment in Medicare Advantage (MA) and traditional Medicare between 2006 and 2022 to identify trends in switching services. Discusses demographic and geographic characteristics of those who switched including rurality.
Author(s): Lanlan Xu, W. Pete Welch, Steven Sheingold, Nancy De Lew, Benjamin D. Sommers
Citation: Health Affairs, 42(9)
Date: 09/2023
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Indexed Age-Adjusted Mortality Rates by Geography for Oklahomans Age 25 to 64 (2016-2020)
Chart depicting mortality rates in Oklahoma for adults between 25 and 64. Compares rates between metropolitan and non-metropolitan tiers, all of Oklahoma, and the national rate for all causes of mortality, multiple chronic illnesses, cancer, stroke, suicide, opioids, and accidents. Click the full screen icon in the chart viewer to see the entire chart.
Date: 09/2023
Sponsoring organization: Oklahoma State University Center for Rural Health
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Chart depicting mortality rates in Oklahoma for adults between 25 and 64. Compares rates between metropolitan and non-metropolitan tiers, all of Oklahoma, and the national rate for all causes of mortality, multiple chronic illnesses, cancer, stroke, suicide, opioids, and accidents. Click the full screen icon in the chart viewer to see the entire chart.
Date: 09/2023
Sponsoring organization: Oklahoma State University Center for Rural Health
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US Pediatric Primary Care Physician Workforce in Rural Areas, 2010 to 2020
Research letter assessing the growth and distribution of the general pediatrician and family medicine physician workforce from 2010-2020 across U.S. counties, and identifying sociodemographic characteristics of counties lacking these physicians. Features statistics with breakdowns by partly rural, entirely rural, and total counties.
Author(s): Tarun Ramesh, Hao Yu
Citation: JAMA Network Open, 6(9)
Date: 09/2023
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Research letter assessing the growth and distribution of the general pediatrician and family medicine physician workforce from 2010-2020 across U.S. counties, and identifying sociodemographic characteristics of counties lacking these physicians. Features statistics with breakdowns by partly rural, entirely rural, and total counties.
Author(s): Tarun Ramesh, Hao Yu
Citation: JAMA Network Open, 6(9)
Date: 09/2023
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Trends and Predictors of Glycemic Control Among Adults With Type 2 Diabetes Covered by Alabama Medicaid, 2011–2019
Analyzes trends and predictors related to achieving optimum targets for glycemic control in adults with type 2 diabetes. Analyzes 2011-2019 Medicaid data from 18,560 patients living in Alabama according to sex, race/ethnicity, reason for Medicaid eligibility, ambulatory/acute care use, comorbidities, and urban, small town, or rural residence.
Author(s): Caroline A. Presley, Yulia Khodneva, Lucia D. Juarez, et al.
Citation: Preventing Chronic Disease, 20
Date: 09/2023
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Analyzes trends and predictors related to achieving optimum targets for glycemic control in adults with type 2 diabetes. Analyzes 2011-2019 Medicaid data from 18,560 patients living in Alabama according to sex, race/ethnicity, reason for Medicaid eligibility, ambulatory/acute care use, comorbidities, and urban, small town, or rural residence.
Author(s): Caroline A. Presley, Yulia Khodneva, Lucia D. Juarez, et al.
Citation: Preventing Chronic Disease, 20
Date: 09/2023
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Evaluation of the Home Health Value-Based Purchasing (HHVBP) Model: Final Report
Evaluates the Home Health Value-Based Purchasing (HHVBP) Model, which tests the impact of providing financial incentives to home health agencies in nine states: Arizona, Florida, Iowa, Massachusetts, Maryland, Nebraska, North Carolina, Tennessee, and Washington. Examines how the financial incentives under the model influenced agency behavior. Describes impacts across key outcomes, including service utilization, quality of care, and patient experience, and examines the model's effects on various access to care and Medicare spending issues. Explores whether the model had unique impacts on access to home health care in rural areas.
Additional links: Appendices, Findings at a Glance
Date: 09/2023
Sponsoring organizations: Arbor Research Collaborative for Health, Centers for Medicare and Medicaid Services, L&M Policy Research
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Evaluates the Home Health Value-Based Purchasing (HHVBP) Model, which tests the impact of providing financial incentives to home health agencies in nine states: Arizona, Florida, Iowa, Massachusetts, Maryland, Nebraska, North Carolina, Tennessee, and Washington. Examines how the financial incentives under the model influenced agency behavior. Describes impacts across key outcomes, including service utilization, quality of care, and patient experience, and examines the model's effects on various access to care and Medicare spending issues. Explores whether the model had unique impacts on access to home health care in rural areas.
Additional links: Appendices, Findings at a Glance
Date: 09/2023
Sponsoring organizations: Arbor Research Collaborative for Health, Centers for Medicare and Medicaid Services, L&M Policy Research
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