Rural Health
Resources by Topic: Statistics and data
Exploring the Demographic and Professional Characteristics of Physicians and Nurse Practitioners Associated With Providing Medication-Assisted Treatment: A Retrospective Observational Study
Examines the factors that impact the likelihood of primary care physicians and nurse practitioners providing medication-assisted treatment (MAT) for opioid use disorder. Utilizes license renewal data to observe MAT treatment by primary care providers, with breakdowns according to demographics, medical specialty and setting, Medicaid and/or sliding fee use, and rurality.
Author(s): Hannah L. Maxey, Sierra X. Vaughn, Analise Dickinson, Robin Newhouse
Citation: INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 61
Date: 03/2024
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Examines the factors that impact the likelihood of primary care physicians and nurse practitioners providing medication-assisted treatment (MAT) for opioid use disorder. Utilizes license renewal data to observe MAT treatment by primary care providers, with breakdowns according to demographics, medical specialty and setting, Medicaid and/or sliding fee use, and rurality.
Author(s): Hannah L. Maxey, Sierra X. Vaughn, Analise Dickinson, Robin Newhouse
Citation: INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 61
Date: 03/2024
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Rural-Specific Identity and Associations with Lifestyle Behaviors and Well-Being Among Rural Cancer Survivors
Examines how issues such as rural identity, attitudes toward rurality, and health beliefs impact rural cancer survivors' well-being. Utilizes survey data from 188 cancer survivors to discuss the relationship between sociocultural factors and quality of life, cancer fatalism, cancer information overload, rural identity and perceptions, and more.
Author(s): Kristina L. Tatum, Bonny B. Morris, Trevin E. Glasgow, et al.
Citation: Journal of Rural Health
Date: 03/2024
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Examines how issues such as rural identity, attitudes toward rurality, and health beliefs impact rural cancer survivors' well-being. Utilizes survey data from 188 cancer survivors to discuss the relationship between sociocultural factors and quality of life, cancer fatalism, cancer information overload, rural identity and perceptions, and more.
Author(s): Kristina L. Tatum, Bonny B. Morris, Trevin E. Glasgow, et al.
Citation: Journal of Rural Health
Date: 03/2024
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2022 National Sample Survey of Registered Nurses Snapshot
Provides demographic, training and education, employment, COVID-19 impact, and workforce projection data for registered nurses (RNs) in the U.S.
Date: 03/2024
Sponsoring organization: Health Resources and Services Administration
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Provides demographic, training and education, employment, COVID-19 impact, and workforce projection data for registered nurses (RNs) in the U.S.
Date: 03/2024
Sponsoring organization: Health Resources and Services Administration
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IEUBK Modeling of Children's Blood Lead Levels in Homes Served by Private Domestic Wells in Three Illinois Counties
Examines the potential for elevated blood lead levels (BLL) due to consuming water from private wells in rural areas by utilizing Integrated Exposure Uptake Biokinetic (IEUBK) modeling. Analyzes the water lead levels (WLLs) in 151 homes located in Illinois and discusses water safety for rural children.
Author(s): Sarah Keeley, Samuel Dorevitch, Walton Kelly, David E. Jacobs, Sarah D. Geiger
Citation: International Journal of Environmental Research and Public Health, 21(3), 337
Date: 03/2024
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Examines the potential for elevated blood lead levels (BLL) due to consuming water from private wells in rural areas by utilizing Integrated Exposure Uptake Biokinetic (IEUBK) modeling. Analyzes the water lead levels (WLLs) in 151 homes located in Illinois and discusses water safety for rural children.
Author(s): Sarah Keeley, Samuel Dorevitch, Walton Kelly, David E. Jacobs, Sarah D. Geiger
Citation: International Journal of Environmental Research and Public Health, 21(3), 337
Date: 03/2024
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Exploring Healthcare Provider Retention in a Rural and Frontier Community in Northern Idaho
Examines factors related to healthcare provider retention in rural and remote areas of Idaho. Utilizes questionnaire data from 30 healthcare providers and focuses on themes such as geography, economics, scope of practice, medical support, and facility and community support.
Author(s): Jonathan D. Moore, Allie M. Lords, Madeline P. Casanova, et al.
Citation: BMC Health Services Research, 24, 381
Date: 03/2024
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Examines factors related to healthcare provider retention in rural and remote areas of Idaho. Utilizes questionnaire data from 30 healthcare providers and focuses on themes such as geography, economics, scope of practice, medical support, and facility and community support.
Author(s): Jonathan D. Moore, Allie M. Lords, Madeline P. Casanova, et al.
Citation: BMC Health Services Research, 24, 381
Date: 03/2024
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Maternal Mortality in Illinois Counties by Race, 2000-2023
Provides maternal mortality rates for the Midwest, the U.S., and the state of Illinois, with state data broken down by county, metro versus nonmetro, and demographics.
Author(s): Adee Athiyaman
Date: 03/2024
Sponsoring organization: Illinois Institute for Rural Affairs
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Provides maternal mortality rates for the Midwest, the U.S., and the state of Illinois, with state data broken down by county, metro versus nonmetro, and demographics.
Author(s): Adee Athiyaman
Date: 03/2024
Sponsoring organization: Illinois Institute for Rural Affairs
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Metropolitan (Metro) Counties, Nonmetropolitan (Nonmetro) Counties, and Urban Areas, 2023
Map with shadings showing metro and nonmetro counties, and urban areas, as of 2023.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
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Map with shadings showing metro and nonmetro counties, and urban areas, as of 2023.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
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Metropolitan (Metro), Nonmetropolitan (Nonmetro)-Micropolitan (Micro), and Nonmetro-Noncore Counties, 2023
Map with shadings showing counties classified as metro, nonmetro-micro, or nonmetro-noncore, as of 2023.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
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Map with shadings showing counties classified as metro, nonmetro-micro, or nonmetro-noncore, as of 2023.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
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Counties Changing Metropolitan (Metro) Status Between 2013 and 2023
Map with shadings showing counties that had remained nonmetropolitan, remained metro, changed from nonmetro to metro, or changed from metro to nonmetro from 2013 to 2023.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
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Map with shadings showing counties that had remained nonmetropolitan, remained metro, changed from nonmetro to metro, or changed from metro to nonmetro from 2013 to 2023.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
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Metropolitan (Metro) and Nonmetropolitan (Nonmetro) Counties, 2023
Map with shadings showing metro and nonmetro counties, as of 2023.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
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Map with shadings showing metro and nonmetro counties, as of 2023.
Date: 03/2024
Sponsoring organization: USDA Economic Research Service
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