Rural Health
Resources by Topic: Statistics and data
Unveiling Spatial Associations between COVID-19 Severe Health Index, Racial/Ethnic Composition, and Community Factors in the United States
Examines county-level data to observe factors related to the burden of COVID-19 Severe Health Risk Index (SHRI) scores. Analyzes factors such as racial/ethnic group, age, income, health behaviors, rurality, and more. Includes U.S. maps showing SHRI scores at the county level.
Author(s): Ruaa Al Juboori, Divya S. Subramaniam, Leslie Hinyard, J.S. Onésimo Sandoval
Citation: International Journal of Environmental Research and Public Health, 20(17), 6643
Date: 08/2023
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Examines county-level data to observe factors related to the burden of COVID-19 Severe Health Risk Index (SHRI) scores. Analyzes factors such as racial/ethnic group, age, income, health behaviors, rurality, and more. Includes U.S. maps showing SHRI scores at the county level.
Author(s): Ruaa Al Juboori, Divya S. Subramaniam, Leslie Hinyard, J.S. Onésimo Sandoval
Citation: International Journal of Environmental Research and Public Health, 20(17), 6643
Date: 08/2023
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Race, Poverty, and Foster Care Placement in the United States: Longitudinal and Cross-Sectional Perspectives
Examines how changes in poverty rate are related to foster care placements for Black and White children. Utilizes longitudinal data from 2000 to 2015 to analyze related socio-ecological factors and includes statistics on poverty, foster care admissions rates, and child population, further broken down according to urbanicity.
Author(s): Fred Wulczyn, Xiaomeng Zhou, Jamie McClanahan, et al.
Citation: International Journal of Environmental Research and Public Health, 20(16), 6572
Date: 08/2023
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Examines how changes in poverty rate are related to foster care placements for Black and White children. Utilizes longitudinal data from 2000 to 2015 to analyze related socio-ecological factors and includes statistics on poverty, foster care admissions rates, and child population, further broken down according to urbanicity.
Author(s): Fred Wulczyn, Xiaomeng Zhou, Jamie McClanahan, et al.
Citation: International Journal of Environmental Research and Public Health, 20(16), 6572
Date: 08/2023
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Tribal Epidemiology Centers: At the Forefront of American Indian/Alaska Native Public Health
Discusses Tribal Epidemiology Centers (TECs) and their work with tribal partners to address challenges related to American Indian and Alaska Native (AI/AN) data. Includes information on culturally sensitive data collection, the importance of TEC work, AI/AN data best practices, impacts of COVID-19, and more.
Author(s): Laura D. Cassidy, DenYelle Kenyon, Jamie Ritchey, et al.
Citation: Public Health Reports, 138(2 suppl)
Date: 08/2023
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Discusses Tribal Epidemiology Centers (TECs) and their work with tribal partners to address challenges related to American Indian and Alaska Native (AI/AN) data. Includes information on culturally sensitive data collection, the importance of TEC work, AI/AN data best practices, impacts of COVID-19, and more.
Author(s): Laura D. Cassidy, DenYelle Kenyon, Jamie Ritchey, et al.
Citation: Public Health Reports, 138(2 suppl)
Date: 08/2023
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Telehealth Use and Perceptions among Prostate Cancer Survivors
Examines the perceptions of telehealth among prostate cancer survivors and considers its perceived usefulness during the COVID-19 pandemic. Analyzes survey data from 487 prostate cancer survivors according to age, race, education, income, rural-urban residence, and time of survey.
Author(s): Luke W. Chen, Deborah S. Usinger, Aaron J. Katz
Citation: Cancer Medicine, 12(16), 17308-17312
Date: 08/2023
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Examines the perceptions of telehealth among prostate cancer survivors and considers its perceived usefulness during the COVID-19 pandemic. Analyzes survey data from 487 prostate cancer survivors according to age, race, education, income, rural-urban residence, and time of survey.
Author(s): Luke W. Chen, Deborah S. Usinger, Aaron J. Katz
Citation: Cancer Medicine, 12(16), 17308-17312
Date: 08/2023
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Association Between Insurer Connectivity in Appalachian Population Health Networks and Preventable Hospitalizations: Evidence from Kentucky
Examines insurer connectivity in community networks across regions in Kentucky, and the association between connectivity and the probability of experiencing a preventable hospitalization. Features statistics with breakdowns by urban, rural non-Appalachian, and Appalachian locations.
Author(s): Rachel Hogg-Graham, Kelsey R. Gatton, Rick Ingram, Glen P. Mays
Citation: Journal of Appalachian Health, 5(2), 15-31
Date: 08/2023
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Examines insurer connectivity in community networks across regions in Kentucky, and the association between connectivity and the probability of experiencing a preventable hospitalization. Features statistics with breakdowns by urban, rural non-Appalachian, and Appalachian locations.
Author(s): Rachel Hogg-Graham, Kelsey R. Gatton, Rick Ingram, Glen P. Mays
Citation: Journal of Appalachian Health, 5(2), 15-31
Date: 08/2023
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Use of Real Time Clinical Video Telehealth to Home by Primary Care Providers Within the Veterans Health Administration During the First Wave of the COVID-19 Pandemic: Variability Across VA Stations and with Time
Describes the extent to which Clinical Video Telehealth to Home (VT2H) was used for primary care licensed independent practitioner visits (PCLIPVs) across the Veterans Health Administration (VA) during the first 18 months of the COVID pandemic. Explores how VT2H use varied over time and by VA station characteristics, including rurality.
Author(s): Dennis H. Sullivan, Linda M. Sawyer, Bonnie D. Dawson, et al.
Citation: JAMIA Open, 6(3)
Date: 08/2023
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Describes the extent to which Clinical Video Telehealth to Home (VT2H) was used for primary care licensed independent practitioner visits (PCLIPVs) across the Veterans Health Administration (VA) during the first 18 months of the COVID pandemic. Explores how VT2H use varied over time and by VA station characteristics, including rurality.
Author(s): Dennis H. Sullivan, Linda M. Sawyer, Bonnie D. Dawson, et al.
Citation: JAMIA Open, 6(3)
Date: 08/2023
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Sociodemographic Differences in COVID-19 Pandemic Experiences Among Families in the United States
Examines challenges experienced by individuals during the COVID-19 pandemic according to sociodemographic differences. Analyzes survey data focused on children and caregivers and their experiences with infection and testing, healthcare, school, access to food, child care and work, financial concerns, and more. Data is broken down by demographic variables such as caregiver education, age of children, and rural versus urban location.
Author(s): Kaja Z. LeWinn, Leonardo Trasande, Andrew Law, et al.
Citation: JAMA Network Open, 6(8), e2330495
Date: 08/2023
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Examines challenges experienced by individuals during the COVID-19 pandemic according to sociodemographic differences. Analyzes survey data focused on children and caregivers and their experiences with infection and testing, healthcare, school, access to food, child care and work, financial concerns, and more. Data is broken down by demographic variables such as caregiver education, age of children, and rural versus urban location.
Author(s): Kaja Z. LeWinn, Leonardo Trasande, Andrew Law, et al.
Citation: JAMA Network Open, 6(8), e2330495
Date: 08/2023
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Missing Components of Receptor Status Among Women With Invasive Breast Cancer
Examines factors related to the testing of receptors that aid in accurate prognosis and treatment of patients with invasive breast cancer. Analyzes patient data of 321,913 women for missing components of receptor status (MCRS) according to patient and clinical characteristics, such as age at diagnosis, race, insurance status, rural versus urban residence, and more.
Author(s): Julie A. Stephens, James L. Fisher, Robert Wesolowski, Electra D. Paskett
Citation: JAMA Network Open, 6(8)
Date: 08/2023
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Examines factors related to the testing of receptors that aid in accurate prognosis and treatment of patients with invasive breast cancer. Analyzes patient data of 321,913 women for missing components of receptor status (MCRS) according to patient and clinical characteristics, such as age at diagnosis, race, insurance status, rural versus urban residence, and more.
Author(s): Julie A. Stephens, James L. Fisher, Robert Wesolowski, Electra D. Paskett
Citation: JAMA Network Open, 6(8)
Date: 08/2023
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Linking Local-Level Chronic Disease and Social Vulnerability Measures to Inform Planning Efforts: A COPD Example
Examines chronic obstructive pulmonary disease (COPD) and its relationship to community vulnerability. Utilizes multiple data sources to analyze the relationship between chronic disease and social vulnerability at the county and census-tract level, with a focus on socioeconomic factors, household composition and disability, minority status and language, and housing type and transportation. Includes U.S. maps showing prevalence of COPD and social vulnerability.
Author(s): Susan A. Carlson, Kathleen B. Watson, Sarah Rockhill, et al.
Citation: Preventing Chronic Disease, 20
Date: 08/2023
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Examines chronic obstructive pulmonary disease (COPD) and its relationship to community vulnerability. Utilizes multiple data sources to analyze the relationship between chronic disease and social vulnerability at the county and census-tract level, with a focus on socioeconomic factors, household composition and disability, minority status and language, and housing type and transportation. Includes U.S. maps showing prevalence of COPD and social vulnerability.
Author(s): Susan A. Carlson, Kathleen B. Watson, Sarah Rockhill, et al.
Citation: Preventing Chronic Disease, 20
Date: 08/2023
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Nonfatal and Fatal Falls Among Adults Aged ≥65 Years — United States, 2020–2021
Reports on older adults who reported falling, as well as unintentional fall-related death rates among older adults. Includes data for metropolitan, micropolitan, and noncore areas.
Author(s): Ramakrishna Kakara, Gwen Bergen, Elizabeth Burns, Mark Stevens
Citation: MMWR (Morbidity and Mortality Weekly Report), 72(35), 938-943
Date: 08/2023
Sponsoring organization: Centers for Disease Control and Prevention
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Reports on older adults who reported falling, as well as unintentional fall-related death rates among older adults. Includes data for metropolitan, micropolitan, and noncore areas.
Author(s): Ramakrishna Kakara, Gwen Bergen, Elizabeth Burns, Mark Stevens
Citation: MMWR (Morbidity and Mortality Weekly Report), 72(35), 938-943
Date: 08/2023
Sponsoring organization: Centers for Disease Control and Prevention
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