Rural Health
Resources by Topic: Rural-urban differences
Self-Employed Workers Are Less Likely To Have Health Insurance Than Those Employed by Private Firms, Governments
Examines nonmetropolitan health insurance coverage in 2018 among working age adults (26-64 years old) who are self-employed, otherwise employed, unemployed, and those not in the labor force. Includes a bar chart showing metro compared to nonmetro coverage by employment status for the following types of health insurance: none, employer-based, direct-purchase, and public.
Author(s): Elizabeth A. Dobis, Jessica E. Todd
Citation: Amber Waves
Date: 07/2022
Sponsoring organization: USDA Economic Research Service
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Examines nonmetropolitan health insurance coverage in 2018 among working age adults (26-64 years old) who are self-employed, otherwise employed, unemployed, and those not in the labor force. Includes a bar chart showing metro compared to nonmetro coverage by employment status for the following types of health insurance: none, employer-based, direct-purchase, and public.
Author(s): Elizabeth A. Dobis, Jessica E. Todd
Citation: Amber Waves
Date: 07/2022
Sponsoring organization: USDA Economic Research Service
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Obesity Treatment Initiation, Retention, and Outcomes in the Veterans Affairs MOVE! Program among Rural and Urban Veterans
Compares rural, highly rural, and urban veterans' likelihood of initiating participation in the Veterans Affairs weight management program (VA MOVE!) or of receiving anti-obesity medication or bariatric surgery. Utilizes 2015-2017 Veterans Affairs patient data. Includes data on treatment retention and weight loss.
Author(s): Kathleen M. Robinson, Mark Vander Weg, Helena H. Laroche, et al.
Citation: Obesity Science & Practice, 8(6), 784-793
Date: 06/2022
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Compares rural, highly rural, and urban veterans' likelihood of initiating participation in the Veterans Affairs weight management program (VA MOVE!) or of receiving anti-obesity medication or bariatric surgery. Utilizes 2015-2017 Veterans Affairs patient data. Includes data on treatment retention and weight loss.
Author(s): Kathleen M. Robinson, Mark Vander Weg, Helena H. Laroche, et al.
Citation: Obesity Science & Practice, 8(6), 784-793
Date: 06/2022
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Maryland Community Health Worker and Employer Surveys: Analysis and Report, With a Focus on Rural Maryland
Examines the Maryland landscape of community health workers (CHWs) and the organizations that employ them; identifies barriers and facilitators to incorporating the CHW skillset into patient-centered healthcare models; and determines the impact of CHWs on access to healthcare and use of preventive health services by the people they serve. Features statistics including demographics, services provided, funding sources, and type of employer, with breakdowns by urban or rural area.
Author(s): Brian Robertson, John Charles, Allison Tippery, et al.
Date: 06/2022
Sponsoring organization: Maryland State Office of Rural Health
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Examines the Maryland landscape of community health workers (CHWs) and the organizations that employ them; identifies barriers and facilitators to incorporating the CHW skillset into patient-centered healthcare models; and determines the impact of CHWs on access to healthcare and use of preventive health services by the people they serve. Features statistics including demographics, services provided, funding sources, and type of employer, with breakdowns by urban or rural area.
Author(s): Brian Robertson, John Charles, Allison Tippery, et al.
Date: 06/2022
Sponsoring organization: Maryland State Office of Rural Health
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Healthy Iowans: Iowa's State Health Assessment
Provides an overview of population health in Iowa with a focus on health outcomes and related social, economic, and environmental factors. Outlines Iowa's overall health profile and priority areas in public health. Includes county-level data on life expectancy, primary care and dentist workforce supply, and transportation; census tract data comparing rural and urban food access; and discussions geared toward rural-specific health issues.
Date: 06/2022
Sponsoring organization: Iowa Department of Health and Human Services
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Provides an overview of population health in Iowa with a focus on health outcomes and related social, economic, and environmental factors. Outlines Iowa's overall health profile and priority areas in public health. Includes county-level data on life expectancy, primary care and dentist workforce supply, and transportation; census tract data comparing rural and urban food access; and discussions geared toward rural-specific health issues.
Date: 06/2022
Sponsoring organization: Iowa Department of Health and Human Services
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North Carolina Statewide Telepsychiatry Program: SFY 2022
County-level map showing North Carolina telepsychiatry sites and provider hubs, with shadings for rural and urban counties.
Date: 06/2022
Sponsoring organization: North Carolina Department of Health and Human Services
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County-level map showing North Carolina telepsychiatry sites and provider hubs, with shadings for rural and urban counties.
Date: 06/2022
Sponsoring organization: North Carolina Department of Health and Human Services
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Characteristics of Suicide Among Farmers and Ranchers: Using the CDC NVDRS 2003–2018
Explores the demographics, methods, and mental health statuses and histories associated with suicide mortality among farmers and ranchers. Breaks down data by age, sex, and rural versus urban location, among other factors, as well as suicide method, life stressors, mental health history, and others.
Author(s): Cristina D. M. Miller, Josie M. Rudolphi
Citation: American Journal of Industrial Medicine, 65(8), 675-689
Date: 06/2022
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Explores the demographics, methods, and mental health statuses and histories associated with suicide mortality among farmers and ranchers. Breaks down data by age, sex, and rural versus urban location, among other factors, as well as suicide method, life stressors, mental health history, and others.
Author(s): Cristina D. M. Miller, Josie M. Rudolphi
Citation: American Journal of Industrial Medicine, 65(8), 675-689
Date: 06/2022
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COVID-19 Effects on Pennsylvania Crime Trends: A Rural/Urban Comparison
Examines the effect of the COVID-19 pandemic on murder and abuse in Pennsylvania, and identifies rural-urban differences in these outcomes before and during the pandemic. Features statistics on yearly homicide totals and protection orders, with breakdowns by rural counties, Philadelphia county, and other urban counties.
Additional links: Executive Summary
Author(s): David Yerger, Brandon Vick, Robert Orth, Charles Gartside
Date: 06/2022
Sponsoring organization: Center for Rural Pennsylvania
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Examines the effect of the COVID-19 pandemic on murder and abuse in Pennsylvania, and identifies rural-urban differences in these outcomes before and during the pandemic. Features statistics on yearly homicide totals and protection orders, with breakdowns by rural counties, Philadelphia county, and other urban counties.
Additional links: Executive Summary
Author(s): David Yerger, Brandon Vick, Robert Orth, Charles Gartside
Date: 06/2022
Sponsoring organization: Center for Rural Pennsylvania
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Student Reports of Bullying: Results From the 2019 School Crime Supplement to the National Crime Victimization Survey
Reports on information gathered from the 2019 School Crime Supplement (SCS) and the National Crime Victimization Survey (NCVS) about bullying in school and its relationship to other crime and behavioral health issues. Includes data on type of bullying, demographics of bullied students, impacts of bullying, and more. Includes breakdowns of bullying variables by city, suburb, town, or rural location.
Author(s): Erin Burns, Rebecca Mann, Christina Yanez
Date: 06/2022
Sponsoring organizations: National Center for Education Statistics, Synergy Enterprises, Inc.
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Reports on information gathered from the 2019 School Crime Supplement (SCS) and the National Crime Victimization Survey (NCVS) about bullying in school and its relationship to other crime and behavioral health issues. Includes data on type of bullying, demographics of bullied students, impacts of bullying, and more. Includes breakdowns of bullying variables by city, suburb, town, or rural location.
Author(s): Erin Burns, Rebecca Mann, Christina Yanez
Date: 06/2022
Sponsoring organizations: National Center for Education Statistics, Synergy Enterprises, Inc.
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Self-Rated Health Among Gay, Lesbian, and Bisexual Adults: Rural/Urban Differences
Policy brief examining differences in self-rated health by sexual orientation and rural or urban location. Includes statistics from the National Health Interview Survey, the Behavioral Risk Factor Surveillance System, and the Health Information National Trends Survey.
Author(s): Hannah MacDougall, Carrie Henning-Smith, Courtney Sarkin, Gilbert Gonzales
Date: 06/2022
Sponsoring organization: University of Minnesota Rural Health Research Center
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Policy brief examining differences in self-rated health by sexual orientation and rural or urban location. Includes statistics from the National Health Interview Survey, the Behavioral Risk Factor Surveillance System, and the Health Information National Trends Survey.
Author(s): Hannah MacDougall, Carrie Henning-Smith, Courtney Sarkin, Gilbert Gonzales
Date: 06/2022
Sponsoring organization: University of Minnesota Rural Health Research Center
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A Spatio-Demographic Perspective on the Role of Social Determinants of Health and Chronic Disease in Determining a Population's Vulnerability to COVID-19
Examines the relationship between potential social determinants of health (SDOH), COVID-19, and chronic disease in San Diego County, California, with comparisons among the county's subregional areas which range from urban in the west to rural in the east. Explores which socioeconomic factors associated with COVID-19 and chronic disease rates are potential SDOH. Discusses whether spatial modeling of chronic disease rates can identify communities most vulnerable to COVID-19.
Author(s): Jessica Embury, Ming-Hsiang Tsou, Atsushi Nara, Eyal Oren
Citation: Preventing Chronic Disease, 19
Date: 06/2022
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Examines the relationship between potential social determinants of health (SDOH), COVID-19, and chronic disease in San Diego County, California, with comparisons among the county's subregional areas which range from urban in the west to rural in the east. Explores which socioeconomic factors associated with COVID-19 and chronic disease rates are potential SDOH. Discusses whether spatial modeling of chronic disease rates can identify communities most vulnerable to COVID-19.
Author(s): Jessica Embury, Ming-Hsiang Tsou, Atsushi Nara, Eyal Oren
Citation: Preventing Chronic Disease, 19
Date: 06/2022
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