Rural Health
Resources by Topic: Health disparities
Healthcare Cost and Utilization Project (HCUP) Maternal Health Chartbook 2010–2019
Analyzes data from the National Inpatient Sample from between 2010 and 2019 to highlight trends in maternal health related to diabetes, hypertension, mental health disorders, substance use disorders, and severe maternal morbidity. Includes data by expected payer, patient characteristics, and geography. Includes large metropolitan, medium/small metropolitan, and nonmetropolitan comparisons throughout.
Author(s): Lawrence Reid, Kimberly Marin, Jessica Monnet
Date: 10/2024
Sponsoring organization: Agency for Healthcare Research and Quality
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Analyzes data from the National Inpatient Sample from between 2010 and 2019 to highlight trends in maternal health related to diabetes, hypertension, mental health disorders, substance use disorders, and severe maternal morbidity. Includes data by expected payer, patient characteristics, and geography. Includes large metropolitan, medium/small metropolitan, and nonmetropolitan comparisons throughout.
Author(s): Lawrence Reid, Kimberly Marin, Jessica Monnet
Date: 10/2024
Sponsoring organization: Agency for Healthcare Research and Quality
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Adults Aged 25–54 in Rural Areas Had Increase in Mortality Rates in Recent Decades
Bar chart showing rural and urban changes in natural-cause and external-cause mortality rates among prime working-age adults (aged 25 to 54), comparing 1999–2001 and 2017–2019.
Date: 10/2024
Sponsoring organization: USDA Economic Research Service
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Bar chart showing rural and urban changes in natural-cause and external-cause mortality rates among prime working-age adults (aged 25 to 54), comparing 1999–2001 and 2017–2019.
Date: 10/2024
Sponsoring organization: USDA Economic Research Service
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Disparities in Structural Brain Imaging in Older Adults from Rural Communities in Southern Nevada
Analyzes the association of brain cortical thickness (CT) with rurality and neighborhood disadvantage among older adults with and without clinical impairment related to dementia. Utilizes demographic and MRI scan data of 71 rural and 87 urban Nevadans.
Author(s): Xiaowei Zhuang, Dietmar Cordes, Jessica Z.K. Caldwell, Andrew R. Bender, Justin B. Miller
Citation: Frontiers in Aging Neuroscience, 16
Date: 10/2024
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Analyzes the association of brain cortical thickness (CT) with rurality and neighborhood disadvantage among older adults with and without clinical impairment related to dementia. Utilizes demographic and MRI scan data of 71 rural and 87 urban Nevadans.
Author(s): Xiaowei Zhuang, Dietmar Cordes, Jessica Z.K. Caldwell, Andrew R. Bender, Justin B. Miller
Citation: Frontiers in Aging Neuroscience, 16
Date: 10/2024
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Younger and Rural Children are More Likely to be Hospitalized for SARS-CoV-2 Infections
Examines patient characteristics and likelihood of hospitalization among children with SARS-CoV-2, utilizing May 2020-April 2022 Arkansas Children's Hospital data. Analyzes hospitalization rates during each wave of the COVID-19 pandemic with demographic data breakdowns, including comparisons between rural and urban children.
Author(s): Rebecca M. Cantu, Sara C. Sanders, Grace A. Turner, et al.
Citation: PLoS ONE, 19(10), e0308221
Date: 10/2024
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Examines patient characteristics and likelihood of hospitalization among children with SARS-CoV-2, utilizing May 2020-April 2022 Arkansas Children's Hospital data. Analyzes hospitalization rates during each wave of the COVID-19 pandemic with demographic data breakdowns, including comparisons between rural and urban children.
Author(s): Rebecca M. Cantu, Sara C. Sanders, Grace A. Turner, et al.
Citation: PLoS ONE, 19(10), e0308221
Date: 10/2024
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Associations between Minority Health Social Vulnerability Index Scores, Rurality, and Histoplasmosis Incidence, 8 US States
Examines association between histoplasmosis and race and ethnicity, socioeconomic status, and rurality, utilizing county-level Minority Health Social Vulnerability Index (MH SVI) data. Breaks down histoplasmosis infection rates by level of rurality, with additional data on rurality and infection for 8 MH SVI themes including socioeconomic status, minority status and language, healthcare infrastructure and access, and more. Discusses rural health access and health disparities.
Author(s): Dallas J. Smith, Malavika Rajeev, Kristina Boyd, et al.
Citation: Emerging Infectious Diseases, 30(10)
Date: 10/2024
Sponsoring organization: Centers for Disease Control and Prevention
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Examines association between histoplasmosis and race and ethnicity, socioeconomic status, and rurality, utilizing county-level Minority Health Social Vulnerability Index (MH SVI) data. Breaks down histoplasmosis infection rates by level of rurality, with additional data on rurality and infection for 8 MH SVI themes including socioeconomic status, minority status and language, healthcare infrastructure and access, and more. Discusses rural health access and health disparities.
Author(s): Dallas J. Smith, Malavika Rajeev, Kristina Boyd, et al.
Citation: Emerging Infectious Diseases, 30(10)
Date: 10/2024
Sponsoring organization: Centers for Disease Control and Prevention
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Public Health Policy that Leads with Equity in Rural Appalachia: Recommendations to Confirm Vaccination Status in an Equitable Manner
Discusses vaccination policy related to COVID-19 in rural Appalachia. Focuses on strategies to create equitable vaccine policies and reach underserved populations such as migrant and immigrant farmworkers.
Author(s): Jennifer Schroeder Tyson, Danny Scalise, Adam Hege, Maggie Sugg, Manan Roy
Citation: Disaster Medicine and Public Health Preparedness, 18, e284
Date: 09/2024
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Discusses vaccination policy related to COVID-19 in rural Appalachia. Focuses on strategies to create equitable vaccine policies and reach underserved populations such as migrant and immigrant farmworkers.
Author(s): Jennifer Schroeder Tyson, Danny Scalise, Adam Hege, Maggie Sugg, Manan Roy
Citation: Disaster Medicine and Public Health Preparedness, 18, e284
Date: 09/2024
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Rural Hospital Performance in Guideline-Recommended Ischemic Stroke Thrombolysis, Secondary Prevention, and Outcomes
Examines the performance of rural versus urban stroke center and non-stroke center hospitals in delivering guideline-recommended ischemic stroke thrombolysis, providing secondary prevention, and producing favorable outcomes among patients treated for acute ischemic stroke. Utilizes 2017-2019 Get With the Guidelines-Stroke hospital data of 692,839 patients.
Author(s): Shumei Man, David Bruckman, Ken Uchino, et al.
Citation: Stroke, 55(10), 2472-2481
Date: 09/2024
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Examines the performance of rural versus urban stroke center and non-stroke center hospitals in delivering guideline-recommended ischemic stroke thrombolysis, providing secondary prevention, and producing favorable outcomes among patients treated for acute ischemic stroke. Utilizes 2017-2019 Get With the Guidelines-Stroke hospital data of 692,839 patients.
Author(s): Shumei Man, David Bruckman, Ken Uchino, et al.
Citation: Stroke, 55(10), 2472-2481
Date: 09/2024
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Medication-Based Treatment among Rural, Primary Care Patients Diagnosed with Opioid Use Disorder and Alcohol Use Disorder
Explores prescribing rates of medications for opioid use disorder (MOUD) and alcohol use disorder (MAUD) in primary care settings in rural and urban areas. Discusses the use of medications for treating OUD and AUD and looks for differences in utilization by rural and urban providers. Breaks down data by patient age, sex, and medication type, among other measures.
Author(s): Emily Kan, Laura-Mae Baldwin, Larissa J. Mooney, et al.
Citation: Journal of Substance Use & Addiction Treatment, 164, 20933
Date: 09/2024
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Explores prescribing rates of medications for opioid use disorder (MOUD) and alcohol use disorder (MAUD) in primary care settings in rural and urban areas. Discusses the use of medications for treating OUD and AUD and looks for differences in utilization by rural and urban providers. Breaks down data by patient age, sex, and medication type, among other measures.
Author(s): Emily Kan, Laura-Mae Baldwin, Larissa J. Mooney, et al.
Citation: Journal of Substance Use & Addiction Treatment, 164, 20933
Date: 09/2024
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Factors Associated with Abnormal Mammogram Results Among Low-Income Uninsured Populations in Medically Underserved And Rural Texas Regions
Examines factors associated with abnormal breast cancer screening outcomes among women living in Health Professional Shortage Areas (HPSAs) in Central Texas. Utilizes data of 1,139 women who received breast cancer screenings through the Texas A&M Cancer Screening, Training, Education, and Prevention Program (C-STEP) from 2017 to 2023. Analyzes factors including age, race/ethnicity, level of education, and rural or urban location.
Author(s): Wen Hsin Chen, Arica Brandford, Rosaleen Bloom, et al.
Citation: Women's Health Reports 5(1), 613-623
Date: 09/2024
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Examines factors associated with abnormal breast cancer screening outcomes among women living in Health Professional Shortage Areas (HPSAs) in Central Texas. Utilizes data of 1,139 women who received breast cancer screenings through the Texas A&M Cancer Screening, Training, Education, and Prevention Program (C-STEP) from 2017 to 2023. Analyzes factors including age, race/ethnicity, level of education, and rural or urban location.
Author(s): Wen Hsin Chen, Arica Brandford, Rosaleen Bloom, et al.
Citation: Women's Health Reports 5(1), 613-623
Date: 09/2024
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Evaluation of Mortality Rate Disparities for Cardiac Arrest Between Urban and Rural Cohorts in the United States Using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Database
Examines trends in cardiac arrest mortality for rural and urban populations, utilizing 1999-2020 CDC WONDER data. Includes data on deaths by age group, sex, and race and ethnicity.
Author(s): Shamsul Arefin, Amruth A. Alluri, Mousumi Barua, Tirth M. Patel, Salini Krishnarao Kandhalu
Citation: Cureus, 16(9), e68803
Date: 09/2024
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Examines trends in cardiac arrest mortality for rural and urban populations, utilizing 1999-2020 CDC WONDER data. Includes data on deaths by age group, sex, and race and ethnicity.
Author(s): Shamsul Arefin, Amruth A. Alluri, Mousumi Barua, Tirth M. Patel, Salini Krishnarao Kandhalu
Citation: Cureus, 16(9), e68803
Date: 09/2024
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