Rural Health
Resources by Topic: Research methods and resources
The Obesity-Related Chronic Disease Index (ORCDi), a Novel Composite Metric to Quantify ORCD Burden: An Ecological Study Across U.S. Census Tracts
Analyzes obesity-related conditions across U.S. census-tracts to develop and validate the obesity-related chronic disease index (ORCDi), a metric used to quantify obesity burden at the community level. Utilizes Centers for Disease Control and Prevention (CDC) PLACES 2024 data to analyze health conditions across social vulnerability indices (SVIs) and rural-urban commuting area (RUCA) codes. Discusses the utility of ORCDi as a measure in health research to analyze ORCD burden in various communities.
Author(s): Md Roungu Ahmmad, Fazlay Faruque, Xiaoli Zhang
Citation: The Lancet Regional Health – Americas, 61, 101547
Date: 09/2026
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Analyzes obesity-related conditions across U.S. census-tracts to develop and validate the obesity-related chronic disease index (ORCDi), a metric used to quantify obesity burden at the community level. Utilizes Centers for Disease Control and Prevention (CDC) PLACES 2024 data to analyze health conditions across social vulnerability indices (SVIs) and rural-urban commuting area (RUCA) codes. Discusses the utility of ORCDi as a measure in health research to analyze ORCD burden in various communities.
Author(s): Md Roungu Ahmmad, Fazlay Faruque, Xiaoli Zhang
Citation: The Lancet Regional Health – Americas, 61, 101547
Date: 09/2026
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Recruiting Rural Patients for Clinical Research: Lessons From a Colorectal Cancer Screening Trial
Examines the effectiveness of the Colonoscopy Outreach for Rural Communities (CORC) trial in recruiting rural patients via its remotely-delivered patient navigation program. Analyzes location of primary care organizations (PCOs) participating in CORC and their success in recruiting rural patients in clinical research.
Author(s): Gina A. Keppel, Brooke Ike, C. Holly A. Andrilla, Allison M. Cole
Citation: Journal of Rural Health, 42(3), e70189
Date: 07/2026
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Examines the effectiveness of the Colonoscopy Outreach for Rural Communities (CORC) trial in recruiting rural patients via its remotely-delivered patient navigation program. Analyzes location of primary care organizations (PCOs) participating in CORC and their success in recruiting rural patients in clinical research.
Author(s): Gina A. Keppel, Brooke Ike, C. Holly A. Andrilla, Allison M. Cole
Citation: Journal of Rural Health, 42(3), e70189
Date: 07/2026
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Rural Hospital Financial Performance: Tools for Data-Driven Decision Making
Webinar recording featuring speakers from the Office of the Assistant Secretary for Planning and Evaluation (ASPE) and the North Carolina Rural Health Research Center discussing two data-driven tools, the Rural Hospital Financial Performance Dashboard and the Hospital Financial Distress Index, that can provide valuable insights into the financial health of rural hospitals.
Additional links: Audio Recording, Webinar Slides
Date: 07/2026
Sponsoring organization: Rural Health Information Hub
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Webinar recording featuring speakers from the Office of the Assistant Secretary for Planning and Evaluation (ASPE) and the North Carolina Rural Health Research Center discussing two data-driven tools, the Rural Hospital Financial Performance Dashboard and the Hospital Financial Distress Index, that can provide valuable insights into the financial health of rural hospitals.
Additional links: Audio Recording, Webinar Slides
Date: 07/2026
Sponsoring organization: Rural Health Information Hub
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A Multiregional Decentralized Clinical Trial Program to Improve Access
Assesses geographic and demographic trends in clinical trial participation at Mayo Clinic during the implementation of a decentralized clinical trials (DCT) program between January 2024 and March 2025.
Author(s): Tufia C. Haddad, Lydia A. Mercado, Jennifer G. Le-Rademacher, et al.
Citation: JAMA Network Open, 9(6), e2617204
Date: 06/2026
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Assesses geographic and demographic trends in clinical trial participation at Mayo Clinic during the implementation of a decentralized clinical trials (DCT) program between January 2024 and March 2025.
Author(s): Tufia C. Haddad, Lydia A. Mercado, Jennifer G. Le-Rademacher, et al.
Citation: JAMA Network Open, 9(6), e2617204
Date: 06/2026
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Evaluating Underrepresentation in Cancer Clinical Trial Enrollment Across Three National Cancer Institute–Designated Cancer Centers: A Retrospective Demographic Study
Analyzes how the enrollment in cancer clinical trials varies demographically and geographically across three Comprehensive Cancer Centers (Vanderbilt-Ingram Cancer Center, Mays Cancer Center at UT Health San Antonio, Yale Cancer Center). Provides data on rural enrollment by center.
Author(s): Guannan Gong, Jessica Liu, Mahanaz Syed, et al.
Citation: JCO Oncology Advances, 3(2), e2500159
Date: 06/2026
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Analyzes how the enrollment in cancer clinical trials varies demographically and geographically across three Comprehensive Cancer Centers (Vanderbilt-Ingram Cancer Center, Mays Cancer Center at UT Health San Antonio, Yale Cancer Center). Provides data on rural enrollment by center.
Author(s): Guannan Gong, Jessica Liu, Mahanaz Syed, et al.
Citation: JCO Oncology Advances, 3(2), e2500159
Date: 06/2026
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Validity of Area-Based Social Risk Indices Used at Higher-Level Geographies and Clinic Locations
Assesses the suitability of the Reproducible Area Deprivation Index (ReADI, Social Deprivation Index (SDI), and Social Vulnerability Index (SVI) for correctly representing patient risk and health outcomes at 5 geographic levels for both patient and clinic addresses. Discusses the usefulness of the social risk indices for researchers lacking small area location data.
Author(s): Nathaniel Hendrix, Nicole Gladish, Neil S. Kamdar, David H. Rehkopf
Citation: JAMA Network Open, 9(6)
Date: 06/2026
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Assesses the suitability of the Reproducible Area Deprivation Index (ReADI, Social Deprivation Index (SDI), and Social Vulnerability Index (SVI) for correctly representing patient risk and health outcomes at 5 geographic levels for both patient and clinic addresses. Discusses the usefulness of the social risk indices for researchers lacking small area location data.
Author(s): Nathaniel Hendrix, Nicole Gladish, Neil S. Kamdar, David H. Rehkopf
Citation: JAMA Network Open, 9(6)
Date: 06/2026
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Reporting of Rurality, Deprivation, and Socioeconomic Characteristics in Cancer Clinical Trials A Systematic Review
Examines the frequency in which geographic, socioeconomic, and demographic characteristics are reported in oncology clinical trial publications. Analyzes 441 randomized clinical trial primary reports for reporting of core demographic characteristics, education, insurance status, deprivation index, income, and rurality. Discusses the importance of cancer research that features sociodemographic and geographic breakdowns of data.
Author(s): Joseph M. Unger
Citation: JAMA Network Open, 9(6), e2619836
Date: 06/2026
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Examines the frequency in which geographic, socioeconomic, and demographic characteristics are reported in oncology clinical trial publications. Analyzes 441 randomized clinical trial primary reports for reporting of core demographic characteristics, education, insurance status, deprivation index, income, and rurality. Discusses the importance of cancer research that features sociodemographic and geographic breakdowns of data.
Author(s): Joseph M. Unger
Citation: JAMA Network Open, 9(6), e2619836
Date: 06/2026
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Effective and Cost-Effective Strategies for Recruiting Rural Adults into a Civic Engagement and Health Behavior Change Research Study
Discusses the underrepresentation of rural populations in health research and strategies to improve their participation. Focuses on a community-based health intervention that took place in Texas and New York and includes data showing the cost effectiveness and impact of rural recruitment strategies.
Author(s): Rebecca A. Seguin-Fowler, Meredith L. Graham, Karla L. Hanson, et al.
Citation: BMC Public Health, 26, 2179
Date: 05/2026
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Discusses the underrepresentation of rural populations in health research and strategies to improve their participation. Focuses on a community-based health intervention that took place in Texas and New York and includes data showing the cost effectiveness and impact of rural recruitment strategies.
Author(s): Rebecca A. Seguin-Fowler, Meredith L. Graham, Karla L. Hanson, et al.
Citation: BMC Public Health, 26, 2179
Date: 05/2026
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The Decentralized Academic Health Center: A 21st-Century Model for Rural Health Innovation
Discusses the role of academic health centers in addressing rural health needs and proposes the Decentralized Academic Health Center (D-AHC) model. Compares the traditional model with D-AHC and discusses implementation through teaching and workforce, research and data, clinical partnerships and digital health, community engagement and policy, financial sustainability, and provider and community readiness. Includes a 5-phase roadmap for implementation.
Author(s): Patrick C. Hardigan, Johannes Vieweg
Citation: Health Affairs Scholar, 4(5)
Date: 05/2026
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Discusses the role of academic health centers in addressing rural health needs and proposes the Decentralized Academic Health Center (D-AHC) model. Compares the traditional model with D-AHC and discusses implementation through teaching and workforce, research and data, clinical partnerships and digital health, community engagement and policy, financial sustainability, and provider and community readiness. Includes a 5-phase roadmap for implementation.
Author(s): Patrick C. Hardigan, Johannes Vieweg
Citation: Health Affairs Scholar, 4(5)
Date: 05/2026
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Lessons From Rural Communities: Five Tips for Community-Based Organizations Engaging in Research
Offers 5 considerations for community-based organizations conducting research in rural communities, discussing building networks, considering community needs, centering local knowledge and experiences, measured metrics, and sustainability.
Date: 05/2026
Sponsoring organization: NIH Community Engagement Alliance
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Offers 5 considerations for community-based organizations conducting research in rural communities, discussing building networks, considering community needs, centering local knowledge and experiences, measured metrics, and sustainability.
Date: 05/2026
Sponsoring organization: NIH Community Engagement Alliance
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