Rural Health
Resources by Topic: Mortality
County-Level Sociodemographic Factors Associated with COVID-19 Incidence and Mortality in North and South Carolina
Explores associations of county-level characteristics with COVID-19 outcomes within North Carolina and South Carolina during the first 7 months of the pandemic. Features statistics including incidence and mortality rates, with breakdowns by rural and nonrural areas.
Author(s): Nicole Kniep, Thelma Achidi, Christy Flynn, et al.
Citation: North Carolina Medical Journal, 83(5), 366-374
Date: 09/2022
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Explores associations of county-level characteristics with COVID-19 outcomes within North Carolina and South Carolina during the first 7 months of the pandemic. Features statistics including incidence and mortality rates, with breakdowns by rural and nonrural areas.
Author(s): Nicole Kniep, Thelma Achidi, Christy Flynn, et al.
Citation: North Carolina Medical Journal, 83(5), 366-374
Date: 09/2022
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Demographic and Regional Trends in Stroke‐Related Mortality in Young Adults in the United States, 1999 to 2019
Examines mortality rates due to stroke from 1999 to 2019 in young adults aged 25-64. Analyzes 566,916 stroke‐related deaths recorded in the Centers for Disease Control and Prevention Wide‐Ranging Online Data for Epidemiologic Research (WONDER) database. Includes demographic breakdown of data by sex, race/ethnicity, age, and large metropolitan, medium/small metropolitan, or nonmetropolitan region.
Author(s): Robert W. Ariss, Abdul Mannan Khan Minhas, Jacob Lang, et al.
Citation: Journal of the American Heart Association, 11(8)
Date: 09/2022
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Examines mortality rates due to stroke from 1999 to 2019 in young adults aged 25-64. Analyzes 566,916 stroke‐related deaths recorded in the Centers for Disease Control and Prevention Wide‐Ranging Online Data for Epidemiologic Research (WONDER) database. Includes demographic breakdown of data by sex, race/ethnicity, age, and large metropolitan, medium/small metropolitan, or nonmetropolitan region.
Author(s): Robert W. Ariss, Abdul Mannan Khan Minhas, Jacob Lang, et al.
Citation: Journal of the American Heart Association, 11(8)
Date: 09/2022
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Disparities in Years of Potential Life Lost Among Racial and Ethnic Groups in Washington State
Explores rates of premature mortality among racial and ethnic minorities in Washington State. Compares rates of potential life lost for people of non-Hispanic Black, American Indian and Alaska Native, Asian, Pacific Islander, Hispanic, and multiracial groups to the rates of the non-Hispanic White population. Highlights rurality as a factor as well.
Author(s): Solmaz Amiri, Sandte L. Stanley, Justin T. Denney, Dedra Buchwald
Citation: Archives of Public Health, 80, 211
Date: 09/2022
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Explores rates of premature mortality among racial and ethnic minorities in Washington State. Compares rates of potential life lost for people of non-Hispanic Black, American Indian and Alaska Native, Asian, Pacific Islander, Hispanic, and multiracial groups to the rates of the non-Hispanic White population. Highlights rurality as a factor as well.
Author(s): Solmaz Amiri, Sandte L. Stanley, Justin T. Denney, Dedra Buchwald
Citation: Archives of Public Health, 80, 211
Date: 09/2022
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Assessment of Disparities in Diabetes Mortality in Adults in US Rural vs Nonrural Counties, 1999-2018
Explores disparities in diabetes mortality based on county urbanization, comparing data from 1999-2000 through 2017-2018. Includes statistics with breakdowns by sex, age group, region, four 2-year periods, and 3 levels of population density.
Author(s): Sagar B. Dugani, Christina M. Wood-Wentz, Michelle M. Mielke, Kent R. Bailey, Adrian Vella
Citation: JAMA Network Open, 5(9), e2232318
Date: 09/2022
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Explores disparities in diabetes mortality based on county urbanization, comparing data from 1999-2000 through 2017-2018. Includes statistics with breakdowns by sex, age group, region, four 2-year periods, and 3 levels of population density.
Author(s): Sagar B. Dugani, Christina M. Wood-Wentz, Michelle M. Mielke, Kent R. Bailey, Adrian Vella
Citation: JAMA Network Open, 5(9), e2232318
Date: 09/2022
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Accuracy of Behavioral Health Variables in Oregon National Violent Death Reporting System Data: A Linked Cohort Study
Highlights a study on the accuracy of the reported behavioral health variables in the National Violent Death Reporting System (NVDRS) linked with Veterans Affairs data from 2003-2017 in Oregon. Compares VA and NVDRS behavioral health variables, such as post-traumatic stress disorder, substance use disorders, depression, and rurality of resident location, among others.
Author(s): Kathleen F. Carlson, Tess A. Gilbert, Susan DeFrancesco, et al.
Citation: Injury Epidemiology, 9, 29
Date: 09/2022
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Highlights a study on the accuracy of the reported behavioral health variables in the National Violent Death Reporting System (NVDRS) linked with Veterans Affairs data from 2003-2017 in Oregon. Compares VA and NVDRS behavioral health variables, such as post-traumatic stress disorder, substance use disorders, depression, and rurality of resident location, among others.
Author(s): Kathleen F. Carlson, Tess A. Gilbert, Susan DeFrancesco, et al.
Citation: Injury Epidemiology, 9, 29
Date: 09/2022
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Suicides Among American Indian or Alaska Native Persons — National Violent Death Reporting System, United States, 2015–2020
Examines differences in suicide characteristics and contributing circumstances among American Indian or Alaska Native (AI/AN) populations and non-AI/AN populations. Includes data for metropolitan and nonmetro areas.
Author(s): Deborah Stone, Eva Trinh, Hong Zhou, et al.
Citation: MMWR (Morbidity and Mortality Weekly Report), 71(37), 1161-1168
Date: 09/2022
Sponsoring organization: Centers for Disease Control and Prevention
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Examines differences in suicide characteristics and contributing circumstances among American Indian or Alaska Native (AI/AN) populations and non-AI/AN populations. Includes data for metropolitan and nonmetro areas.
Author(s): Deborah Stone, Eva Trinh, Hong Zhou, et al.
Citation: MMWR (Morbidity and Mortality Weekly Report), 71(37), 1161-1168
Date: 09/2022
Sponsoring organization: Centers for Disease Control and Prevention
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The Association of Crash Response Times and Deaths at the Crash Scene: A Cross-Sectional Analysis Using the 2019 National Emergency Medical Service Information System
Compares EMS response times with rates of crash scene deaths by rural and urban region and by rush and non-rush hour periods. Breaks down the demographic characteristics of the people involved in the crash, such as age, sex, substances involved, and injuries, as well as mortality and rurality, among other measures.
Author(s): Oluwaseun J. Adeyemi, Rajib Paul, Charles DiMaggio, et al.
Citation: Journal of Rural Health, 38(4), 1011-1024
Date: 09/2022
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Compares EMS response times with rates of crash scene deaths by rural and urban region and by rush and non-rush hour periods. Breaks down the demographic characteristics of the people involved in the crash, such as age, sex, substances involved, and injuries, as well as mortality and rurality, among other measures.
Author(s): Oluwaseun J. Adeyemi, Rajib Paul, Charles DiMaggio, et al.
Citation: Journal of Rural Health, 38(4), 1011-1024
Date: 09/2022
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Coroner/Medical Examiner Services in Pennsylvania
Provides information about Pennsylvania coroner/medical examiners (C/MEs), including office caseloads, funding, facilities, forensic capacity, vehicles and equipment, and staffing and training resources. Assesses how the opioid epidemic and the COVID-19 pandemic affected county C/ME offices in urban and rural areas. Features statistics including deaths from COVID-19 and drug overdose from 2015-2021, with breakdowns by urban and rural counties.
Additional links: Executive Summary
Author(s): Harry D. Holt, Ramona Stone, Christina VandePol
Date: 08/2022
Sponsoring organization: Center for Rural Pennsylvania
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Provides information about Pennsylvania coroner/medical examiners (C/MEs), including office caseloads, funding, facilities, forensic capacity, vehicles and equipment, and staffing and training resources. Assesses how the opioid epidemic and the COVID-19 pandemic affected county C/ME offices in urban and rural areas. Features statistics including deaths from COVID-19 and drug overdose from 2015-2021, with breakdowns by urban and rural counties.
Additional links: Executive Summary
Author(s): Harry D. Holt, Ramona Stone, Christina VandePol
Date: 08/2022
Sponsoring organization: Center for Rural Pennsylvania
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What Happens When a Hospital Closes?
Podcast episode discussing the impact of rural hospital closures and obstetrics units on their communities. Explores why facilities and units close and the impact of closures on mortality, prenatal care, maternal and infant health outcomes, and access to quality care.
Date: 08/2022
Sponsoring organization: Freakonomics
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Podcast episode discussing the impact of rural hospital closures and obstetrics units on their communities. Explores why facilities and units close and the impact of closures on mortality, prenatal care, maternal and infant health outcomes, and access to quality care.
Date: 08/2022
Sponsoring organization: Freakonomics
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Rural-Urban Disparities in Place of Death in Hematologic Malignancies in the United States, 2003 to 2019
Examines place of death (POD) by home, hospice, or nursing/medical facility due to hematologic malignancy mortalities that occurred between 2013 and 2019. Analyzes 1,009,717 deaths recorded in the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database and breaks down POD by large metropolitan, medium/small metropolitan, and rural metropolitan. Discusses disparities in urban and rural community access to end-of-life resources.
Author(s): S. M. Qasim Hussaini, Amanda L. Blackford, Arjun Gupta, et al.
Citation: Blood Advances, 6(16), 4731-4734
Date: 08/2022
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Examines place of death (POD) by home, hospice, or nursing/medical facility due to hematologic malignancy mortalities that occurred between 2013 and 2019. Analyzes 1,009,717 deaths recorded in the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database and breaks down POD by large metropolitan, medium/small metropolitan, and rural metropolitan. Discusses disparities in urban and rural community access to end-of-life resources.
Author(s): S. M. Qasim Hussaini, Amanda L. Blackford, Arjun Gupta, et al.
Citation: Blood Advances, 6(16), 4731-4734
Date: 08/2022
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