Rural Health
Resources by Topic: Statistics and data
Prenatal Vitamin D Levels and Postpartum Hemorrhage in a Rural Alaska Cohort
Examines the relationship between vitamin D levels during pregnancy and postpartum bleeding in a rural, Alaska Native/American Indian (AN/AI) population living in southwestern Alaska. Utilizes 2017-2019 data from 1,343 pregnancies to analyze levels of blood loss according to labor and delivery factors, obstetrics history, and pregnancy characteristics. Discusses strategies such as vitamin D supplementation and universal screening to address population health needs.
Author(s): Reinou S. Groen, Julie A. Beans, Gretchen Day, et al.
Citation: International Journal of Gynecology & Obstetrics, 173(1), 403-410
Date: 04/2026
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Examines the relationship between vitamin D levels during pregnancy and postpartum bleeding in a rural, Alaska Native/American Indian (AN/AI) population living in southwestern Alaska. Utilizes 2017-2019 data from 1,343 pregnancies to analyze levels of blood loss according to labor and delivery factors, obstetrics history, and pregnancy characteristics. Discusses strategies such as vitamin D supplementation and universal screening to address population health needs.
Author(s): Reinou S. Groen, Julie A. Beans, Gretchen Day, et al.
Citation: International Journal of Gynecology & Obstetrics, 173(1), 403-410
Date: 04/2026
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Can a Participant-Referred "Study Buddy" Increase Retention of Rural People Who Use Drugs in Research? A Multi-Site, Randomized Trial
Presents a study exploring the efficacy of an intervention aiming to increase retention of rural people who use drugs (PWUD) participating in randomized trials. Highlights an intervention involving participant recruitment of a support person, or "study buddy", to aid in the their continued participation in the study. Compares the efficacy of this intervention with standard retention practices.
Author(s): April M. Young, Kathryn E. Lancaster, Miriam R. Elman, et al.
Citation: Addiction, 121(4), 894-907
Date: 04/2026
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Presents a study exploring the efficacy of an intervention aiming to increase retention of rural people who use drugs (PWUD) participating in randomized trials. Highlights an intervention involving participant recruitment of a support person, or "study buddy", to aid in the their continued participation in the study. Compares the efficacy of this intervention with standard retention practices.
Author(s): April M. Young, Kathryn E. Lancaster, Miriam R. Elman, et al.
Citation: Addiction, 121(4), 894-907
Date: 04/2026
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Mapping Spatial and Social Inequities of Long COVID Across the United States: A Retrospective Cohort Study
Examines spatiotemporal variables and social determinants as correlated with the Omicron variant and long COVID health risk. Analyzes 5,652,474 COVID-19 cases and 41,694 long COVID cases according to year, location, U.S. region, risk level of county, and social determinants, including rural versus urban location.
Author(s): Zhetao Chen, Bingnan Lib, Yewen Chen, et al.
Citation: The Lancet Regional Health – Americas, 56, 101401
Date: 04/2026
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Examines spatiotemporal variables and social determinants as correlated with the Omicron variant and long COVID health risk. Analyzes 5,652,474 COVID-19 cases and 41,694 long COVID cases according to year, location, U.S. region, risk level of county, and social determinants, including rural versus urban location.
Author(s): Zhetao Chen, Bingnan Lib, Yewen Chen, et al.
Citation: The Lancet Regional Health – Americas, 56, 101401
Date: 04/2026
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Rural/Urban Differences among American Indian/Alaska Native Peoples in Health Care Access and Outcomes, 2019–2023
Compares health outcomes and healthcare utilization metrics for American Indian and Alaska Native (AI/AN) rural and urban residents using 2019-2023 National Health Interview Survey (NHIS) data. Discusses the impact of various sociodemographic factors and the Indian Health Service (IHS) on study findings.
Author(s): Katy Backes Kozhimannil, Hailey A. Baker, Julia D. Interrante, Kyle X. Hill, Melissa L. Walls
Citation: Journal of Community Health, 51, 232-239
Date: 04/2026
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Compares health outcomes and healthcare utilization metrics for American Indian and Alaska Native (AI/AN) rural and urban residents using 2019-2023 National Health Interview Survey (NHIS) data. Discusses the impact of various sociodemographic factors and the Indian Health Service (IHS) on study findings.
Author(s): Katy Backes Kozhimannil, Hailey A. Baker, Julia D. Interrante, Kyle X. Hill, Melissa L. Walls
Citation: Journal of Community Health, 51, 232-239
Date: 04/2026
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Selecting Rural Data in data.census.gov
Step-by-step guide showing two methods for selecting rural data from the U.S. Census Bureau's data.census.gov tool, which provides access to a wide range of statistics describing the U.S. population. Shows how to easily identify data for use in rural health grant applications, community health needs assessments, and more.
Date: 04/2026
Sponsoring organization: Rural Health Information Hub
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Step-by-step guide showing two methods for selecting rural data from the U.S. Census Bureau's data.census.gov tool, which provides access to a wide range of statistics describing the U.S. population. Shows how to easily identify data for use in rural health grant applications, community health needs assessments, and more.
Date: 04/2026
Sponsoring organization: Rural Health Information Hub
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The 10-20-30 Provision: Defining Persistent Poverty Counties
Defines persistent poverty counties. Discusses how differences in definitions and data can affect which counties are considered persistently poor and includes a map highlighting the impact of different rounding methods. Briefly addresses legislation targeting persistent poverty counties using the "10-20-30 provision," including rural development funding. Table 3 lists persistent poverty counties based on data from the 1993 Small Area Income and Poverty Estimates (SAIPE), Census 2000, and the 2024 SAIPE.
Date: 04/2026
Sponsoring organization: Congressional Research Service
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Defines persistent poverty counties. Discusses how differences in definitions and data can affect which counties are considered persistently poor and includes a map highlighting the impact of different rounding methods. Briefly addresses legislation targeting persistent poverty counties using the "10-20-30 provision," including rural development funding. Table 3 lists persistent poverty counties based on data from the 1993 Small Area Income and Poverty Estimates (SAIPE), Census 2000, and the 2024 SAIPE.
Date: 04/2026
Sponsoring organization: Congressional Research Service
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Skilled Nursing Facilities - Dually Certified in Rural Areas
Printable map that shows the location of Skilled Nursing Facilities (SNFs) and nursing facilities that are dually certified located in rural areas (outside U.S. Census Bureau Urban Areas with a population of 50,000 or more). Data source: data.HRSA.gov, U.S. Department of Health and Human Services
Additional links: Dually Certified Rural SNF Table
Date: 04/2026
Sponsoring organization: Rural Health Information Hub
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Printable map that shows the location of Skilled Nursing Facilities (SNFs) and nursing facilities that are dually certified located in rural areas (outside U.S. Census Bureau Urban Areas with a population of 50,000 or more). Data source: data.HRSA.gov, U.S. Department of Health and Human Services
Additional links: Dually Certified Rural SNF Table
Date: 04/2026
Sponsoring organization: Rural Health Information Hub
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Disparities in Lung Cancer Health Outcomes and Access to Lung Cancer Screening Between Rural and Urban Areas in the U.S
Narrative review examining rural and urban differences in lung cancer health outcomes, screening access, and other contextual factors influencing lung cancer disparities. Provides recommendations for effective lung cancer treatment and policy development supporting rural health.
Author(s): Aishani Gargapati, James Fox, Erminia Massarelli
Citation: Cancers, 18(5), 864
Date: 03/2026
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Narrative review examining rural and urban differences in lung cancer health outcomes, screening access, and other contextual factors influencing lung cancer disparities. Provides recommendations for effective lung cancer treatment and policy development supporting rural health.
Author(s): Aishani Gargapati, James Fox, Erminia Massarelli
Citation: Cancers, 18(5), 864
Date: 03/2026
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Mortality Trends and Disparities Associated with Aortic Aneurysm and Aortic Dissection in the United States from 1999 to 2023: A CDC Wonder Database Analysis
Examines aortic aneurysm (AA) and aortic dissection (AD) mortality trends in the United States. Utilizes 1999-2023 Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) data to analyze mortality according to demographics, census region, and metro versus nonmetro location.
Author(s): Lin Lv, Xuedi Gao, Jia Li, et al.
Citation: BMC Cardiovascular Disorders, 26, 292
Date: 03/2026
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Examines aortic aneurysm (AA) and aortic dissection (AD) mortality trends in the United States. Utilizes 1999-2023 Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) data to analyze mortality according to demographics, census region, and metro versus nonmetro location.
Author(s): Lin Lv, Xuedi Gao, Jia Li, et al.
Citation: BMC Cardiovascular Disorders, 26, 292
Date: 03/2026
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Heart Failure Readmissions in Urban and Rural Hospital Settings: An Analysis of 30-Day Readmissions Using the 2021 Nationwide Readmissions Database
Analyzes how 30-day hospital readmission for heart failure varies by rural or urban dwelling using 2021 National Readmissions Database data. Includes data breakdowns by payment type, patient demographics, related health conditions, and other clinical factors.
Author(s): Kendra J. Duran, Janice L. Hinkle, Linda C. Copel
Citation: Journal of Rural Health, 42(2), e70138
Date: 03/2026
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Analyzes how 30-day hospital readmission for heart failure varies by rural or urban dwelling using 2021 National Readmissions Database data. Includes data breakdowns by payment type, patient demographics, related health conditions, and other clinical factors.
Author(s): Kendra J. Duran, Janice L. Hinkle, Linda C. Copel
Citation: Journal of Rural Health, 42(2), e70138
Date: 03/2026
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