Rural Health
Resources by Topic: Mortality
Disparities in Melanoma Incidence and Mortality in Rural Versus Urban Michigan
Examines rural versus urban disparities in disease stage and disease-specific mortality of melanoma patients in Michigan. Analyzes 2014-2018 data from the Michigan Department of Health and Human Services and the Centers for Disease Control and Prevention to observe county-level melanoma rates. Includes demographic breakdowns by age, sex, and residence, as well as discussions about potential causes of rural disparities.
Author(s): Richard A. Shellenberger, Timothy M. Johnson, Fatima Fayyaz, et al.
Citation: Cancer Reports, 6(2), e1713
Date: 02/2023
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Examines rural versus urban disparities in disease stage and disease-specific mortality of melanoma patients in Michigan. Analyzes 2014-2018 data from the Michigan Department of Health and Human Services and the Centers for Disease Control and Prevention to observe county-level melanoma rates. Includes demographic breakdowns by age, sex, and residence, as well as discussions about potential causes of rural disparities.
Author(s): Richard A. Shellenberger, Timothy M. Johnson, Fatima Fayyaz, et al.
Citation: Cancer Reports, 6(2), e1713
Date: 02/2023
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Radiotherapy Deserts: The Impact of Race, Poverty, and the Rural-Urban Continuum on Density of Providers and the Use of Radiation Therapy in the US
Investigates the prevalence of radiotherapy deserts for prostate cancer (PC) and invasive breast cancer (BC) at the county level in the United States. Analyzes physicians to persons at risk (PPR) and use to persons at risk (UPR) according to sex, race/ethnicity, poverty level, and metro versus non-metro county. Includes U.S. maps depicting death and incidence rate hot zones, high PPR density, high UPR density, and more.
Author(s): Anna W. LaVigne, Theodore L. DeWeese, Jean L. Wright, et al.
Citation: International Journal of Radiation Oncology, 116(1), 17-27
Date: 01/2023
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Investigates the prevalence of radiotherapy deserts for prostate cancer (PC) and invasive breast cancer (BC) at the county level in the United States. Analyzes physicians to persons at risk (PPR) and use to persons at risk (UPR) according to sex, race/ethnicity, poverty level, and metro versus non-metro county. Includes U.S. maps depicting death and incidence rate hot zones, high PPR density, high UPR density, and more.
Author(s): Anna W. LaVigne, Theodore L. DeWeese, Jean L. Wright, et al.
Citation: International Journal of Radiation Oncology, 116(1), 17-27
Date: 01/2023
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Cancer Disproportionately Impacts Adults Living in Rural Areas
Analyzes cancer disparities in metro and nonmetro areas across the U.S. as well as select states that did not expand Medicaid coverage: Georgia, South Carolina, Tennessee, and Texas. Utilizes multiple data sources to examine cancer incidence, mortality, and survival rates in metro and nonmetro areas.
Date: 01/2023
Sponsoring organization: The National Grange
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Analyzes cancer disparities in metro and nonmetro areas across the U.S. as well as select states that did not expand Medicaid coverage: Georgia, South Carolina, Tennessee, and Texas. Utilizes multiple data sources to examine cancer incidence, mortality, and survival rates in metro and nonmetro areas.
Date: 01/2023
Sponsoring organization: The National Grange
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Social Determinants of Cardiovascular Health: A Longitudinal Analysis of Cardiovascular Disease Mortality in US Counties From 2009 to 2018
Analyzes how social determinants of health (SDOH) are related to cardiovascular disease (CVD) mortality over time. Analyzes county-level data of 17 SDOH from 2009 to 2018 which are further broken down by rural versus urban status.
Author(s): Heejung Son, Donglan Zhang, Ye Shen, et al.
Citation: Journal of the American Heart Association, 12(2)
Date: 01/2023
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Analyzes how social determinants of health (SDOH) are related to cardiovascular disease (CVD) mortality over time. Analyzes county-level data of 17 SDOH from 2009 to 2018 which are further broken down by rural versus urban status.
Author(s): Heejung Son, Donglan Zhang, Ye Shen, et al.
Citation: Journal of the American Heart Association, 12(2)
Date: 01/2023
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I Don't Believe a Person Has to Die When Trying to Get High: Overdose Prevention and Response Strategies in Rural Illinois
Examines overdose prevention and response of service providers and people who inject drugs in rural southern Illinois. Reports on interviews with 23 participants from August 2019 through February 2020 and discusses issues such as the growing presence of fentanyl, overdose prevention, overdose reversal, harm reduction education, and more.
Author(s): Suzan M. Walters, Marisa Felsher, David Frank, et al.
Citation: International Journal of Environmental Research and Public Health, 20(2), 1648
Date: 01/2023
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Examines overdose prevention and response of service providers and people who inject drugs in rural southern Illinois. Reports on interviews with 23 participants from August 2019 through February 2020 and discusses issues such as the growing presence of fentanyl, overdose prevention, overdose reversal, harm reduction education, and more.
Author(s): Suzan M. Walters, Marisa Felsher, David Frank, et al.
Citation: International Journal of Environmental Research and Public Health, 20(2), 1648
Date: 01/2023
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Shorter Time to Treatment Is Associated With Improved Survival in Rural Patients With Breast Cancer Despite Other Adverse Socioeconomic Factors
Analyzes the relationship between time to treatment initiation (TTI) and overall survival (OS) of cancer patients. Examines 1,205,031 women with breast cancer from 2004 to 2012 by socioeconomic and demographic information, with data further broken down by rural versus urban location.
Author(s): Minh-Tri Nguyen, Wei Wei, Gregory Cooper, Alok A. Khorana, Suneel D. Kamath
Citation: Oncology, 37(1), 19-24
Date: 01/2023
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Analyzes the relationship between time to treatment initiation (TTI) and overall survival (OS) of cancer patients. Examines 1,205,031 women with breast cancer from 2004 to 2012 by socioeconomic and demographic information, with data further broken down by rural versus urban location.
Author(s): Minh-Tri Nguyen, Wei Wei, Gregory Cooper, Alok A. Khorana, Suneel D. Kamath
Citation: Oncology, 37(1), 19-24
Date: 01/2023
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Rural–Urban Disparities in Adverse Maternal Outcomes in the United States, 2016–2019
Analyzes maternal mortality and admissions to the intensive care unit (ICU) in rural and urban areas in the U.S. between 2016 and 2019. Utilizes Centers for Disease Control and Prevention (CDC) Wide-Ranging Online Data for Epidemiologic Research (WONDER) to examine rural versus urban maternal health disparities.
Author(s): Katharine A. Harrington, Natalie A. Cameron, Kasen Culler, William A. Grobman, Sadiya S. Khan
Citation: American Journal of Public Health, 113(2)
Date: 01/2023
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Analyzes maternal mortality and admissions to the intensive care unit (ICU) in rural and urban areas in the U.S. between 2016 and 2019. Utilizes Centers for Disease Control and Prevention (CDC) Wide-Ranging Online Data for Epidemiologic Research (WONDER) to examine rural versus urban maternal health disparities.
Author(s): Katharine A. Harrington, Natalie A. Cameron, Kasen Culler, William A. Grobman, Sadiya S. Khan
Citation: American Journal of Public Health, 113(2)
Date: 01/2023
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COVID-19 Mortality Rates across Noncore, Micropolitan, and Metropolitan Counties by Community Characteristics, December 2020-January 2021
Explores differences in COVID-19 mortality rates across rural-urban designations and stratifications by geography, county-level sociodemographic factors, and county-level healthcare factors. Features statistics on mortality rates by rurality and U.S. census region, racial/ethnic composition, and ICU and nursing home bed density, as well as state-level maps showing mortality rates per 100,000 with breakdowns by metropolitan, micropolitan, and noncore areas.
Author(s): Whitney E. Zahnd, Khyathi Gadag, Fred Ullrich, Keith J. Mueller
Date: 01/2023
Sponsoring organization: RUPRI Center for Rural Health Policy Analysis
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Explores differences in COVID-19 mortality rates across rural-urban designations and stratifications by geography, county-level sociodemographic factors, and county-level healthcare factors. Features statistics on mortality rates by rurality and U.S. census region, racial/ethnic composition, and ICU and nursing home bed density, as well as state-level maps showing mortality rates per 100,000 with breakdowns by metropolitan, micropolitan, and noncore areas.
Author(s): Whitney E. Zahnd, Khyathi Gadag, Fred Ullrich, Keith J. Mueller
Date: 01/2023
Sponsoring organization: RUPRI Center for Rural Health Policy Analysis
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Geographic Disparities in COVID-19 Testing and Outcomes in Florida
Identifies geographic disparities in COVID-19 testing, incidence, hospitalizations, and mortality in Florida from March to July 2020. Provides county-level maps of COVID-19 patterns and discusses how spatial analysis can inform preventative public health interventions.
Author(s): Md Marufuzzaman Khan, Agricola Odoi, Evah W. Odoi
Citation: BMC Public Health, 23, 79
Date: 01/2023
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Identifies geographic disparities in COVID-19 testing, incidence, hospitalizations, and mortality in Florida from March to July 2020. Provides county-level maps of COVID-19 patterns and discusses how spatial analysis can inform preventative public health interventions.
Author(s): Md Marufuzzaman Khan, Agricola Odoi, Evah W. Odoi
Citation: BMC Public Health, 23, 79
Date: 01/2023
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Arkansas State Health Assessment (SHA) 2023 Scorecard
Uses data to highlight trends over time for Arkansas residents related to population health and demographics, mortality, chronic illnesses, emerging health issues, and rural health. Rural health data highlights healthcare access and food insecurity trends. See county-level data by selecting a Result header, indicated by a green R icon.
Date: 2023
Sponsoring organization: Arkansas Department of Health
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Uses data to highlight trends over time for Arkansas residents related to population health and demographics, mortality, chronic illnesses, emerging health issues, and rural health. Rural health data highlights healthcare access and food insecurity trends. See county-level data by selecting a Result header, indicated by a green R icon.
Date: 2023
Sponsoring organization: Arkansas Department of Health
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