Rural Health
Resources by Topic: Diabetes
Regional and Rural-Urban Patterns in the Prevalence of Diagnosed Hypertension among Older U.S. Adults with Diabetes, 2005–2017
Explores trends in the prevalence of diagnosed hypertension among Medicare beneficiaries with diabetes across four geographic regions between 2005 and 2017. Examines Medicare administrative claims data to describe sociodemographic characteristics of the sampled beneficiaries with diabetes. Uses the 2013 CDC National Center for Health Statistics (NCHS) classification scheme to compare the age-adjusted prevalence of hypertension in each region over time by rurality.
Author(s): Jalal Uddin, Sha Zhu, Gargya Malla, et al.
Citation: BMC Public Health, 24, 24, 1326
Date: 05/2024
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Explores trends in the prevalence of diagnosed hypertension among Medicare beneficiaries with diabetes across four geographic regions between 2005 and 2017. Examines Medicare administrative claims data to describe sociodemographic characteristics of the sampled beneficiaries with diabetes. Uses the 2013 CDC National Center for Health Statistics (NCHS) classification scheme to compare the age-adjusted prevalence of hypertension in each region over time by rurality.
Author(s): Jalal Uddin, Sha Zhu, Gargya Malla, et al.
Citation: BMC Public Health, 24, 24, 1326
Date: 05/2024
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Health Wanted: Finding Care in Rural America
Series of videos highlighting challenges with access to quality healthcare for rural Americans. Discusses healthcare access in remote locations, food insecurity and cultural farming practices, transportation, wellness initiatives, and chronic health conditions in 5 states. Transcript available in video description.
Date: 05/2024
Sponsoring organization: American Heart Association
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Series of videos highlighting challenges with access to quality healthcare for rural Americans. Discusses healthcare access in remote locations, food insecurity and cultural farming practices, transportation, wellness initiatives, and chronic health conditions in 5 states. Transcript available in video description.
Date: 05/2024
Sponsoring organization: American Heart Association
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COVID-19 Infection and Incident Diabetes in American Indian and Alaska Native people: A Retrospective Cohort Study
Examines associations between COVID-19 infection and diabetes in American Indian and Alaska Native (AI/AN) people. Utilizes the Indian Health Service's (IHS) National Patient Information Reporting System to analyze incident diabetes among 3 participant cohorts: pre-pandemic, pandemic but no COVID-19 infection, and pandemic with COVID-19 infection. Discusses the relationship between COVID-19 infection and new-onset diabetes in AI/AN populations.
Author(s): James W. Keck, Mary E. Lacy, Sara Bressler, Ian Blake, Uzo Chukwuma, Michael G. Bruce
Citation: The Lancet Regional Health - Americas, 33, 100727
Date: 05/2024
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Examines associations between COVID-19 infection and diabetes in American Indian and Alaska Native (AI/AN) people. Utilizes the Indian Health Service's (IHS) National Patient Information Reporting System to analyze incident diabetes among 3 participant cohorts: pre-pandemic, pandemic but no COVID-19 infection, and pandemic with COVID-19 infection. Discusses the relationship between COVID-19 infection and new-onset diabetes in AI/AN populations.
Author(s): James W. Keck, Mary E. Lacy, Sara Bressler, Ian Blake, Uzo Chukwuma, Michael G. Bruce
Citation: The Lancet Regional Health - Americas, 33, 100727
Date: 05/2024
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A Rapid Review of Interventions to Improve Care for People Who Are Medically Underserved with Multiple Sclerosis, Diabetic Retinopathy, and Lung Cancer
Literature review on interventions to improve health, promote access to care, and decrease disparities among patients with multiple sclerosis, diabetic retinopathy, and lung cancer. Analyzes 44 studies, highlighting findings related to underserved groups, including people in rural areas, throughout.
Author(s): Sarah Mossburg, Mona Kilany, Kimberly Jinnett, et al.
Citation: International Journal of Environmental Research and Public Health, 21(5), 529
Date: 04/2024
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Literature review on interventions to improve health, promote access to care, and decrease disparities among patients with multiple sclerosis, diabetic retinopathy, and lung cancer. Analyzes 44 studies, highlighting findings related to underserved groups, including people in rural areas, throughout.
Author(s): Sarah Mossburg, Mona Kilany, Kimberly Jinnett, et al.
Citation: International Journal of Environmental Research and Public Health, 21(5), 529
Date: 04/2024
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Diabetes and the Social, Biologic, and Behavioral Determinants of Endometrial Cancer in the United States
Examines factors associated with endometrial cancer, including biologic, behavioral, and social determinants of health (SDOH). Analyzes variables such as status of endometrial cancer and/or diabetes, behavioral health factors, biologic factors, and various SDOH, including rural versus urban county.
Author(s): Nour Massouh, Ayad A. Jaffa, Miran A. Jaffa
Citation: BMC Cancer, 24, 540
Date: 04/2024
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Examines factors associated with endometrial cancer, including biologic, behavioral, and social determinants of health (SDOH). Analyzes variables such as status of endometrial cancer and/or diabetes, behavioral health factors, biologic factors, and various SDOH, including rural versus urban county.
Author(s): Nour Massouh, Ayad A. Jaffa, Miran A. Jaffa
Citation: BMC Cancer, 24, 540
Date: 04/2024
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Identifying Priority Geographic Locations for Diabetes Self-Management Education and Support Services in the Appalachian Region
Examines the relationship among diabetes self-management education and support (DSMES) services, economic distress, and diabetes prevalence in Appalachia. Includes maps presenting these relationships as well as discussion about providing equitable DSMES services.
Author(s): Jacob T. Wittman, Dayna S. Alexander, Melissa Bing, et al.
Citation: Preventing Chronic Disease, 21
Date: 04/2024
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Examines the relationship among diabetes self-management education and support (DSMES) services, economic distress, and diabetes prevalence in Appalachia. Includes maps presenting these relationships as well as discussion about providing equitable DSMES services.
Author(s): Jacob T. Wittman, Dayna S. Alexander, Melissa Bing, et al.
Citation: Preventing Chronic Disease, 21
Date: 04/2024
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County Rurality and Incidence and Prevalence of Diagnosed Diabetes in the United States
Evaluates incidence and prevalence of diagnosed diabetes by rurality at the county level, utilizing 2004-2019 Behavioral Risk Factor Surveillance System data. Analyzes the impact of food environment, obesity, physical activity, and other sociodemographic factors on rural-urban differences in diabetes incidence and prevalence. Includes regional comparisons.
Author(s): Sagar B. Dugani, Brian D. Lahr, Hui Xie, et al.
Citation: Mayo Clinic Proceedings, 99(7), 1078-1090
Date: 03/2024
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Evaluates incidence and prevalence of diagnosed diabetes by rurality at the county level, utilizing 2004-2019 Behavioral Risk Factor Surveillance System data. Analyzes the impact of food environment, obesity, physical activity, and other sociodemographic factors on rural-urban differences in diabetes incidence and prevalence. Includes regional comparisons.
Author(s): Sagar B. Dugani, Brian D. Lahr, Hui Xie, et al.
Citation: Mayo Clinic Proceedings, 99(7), 1078-1090
Date: 03/2024
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Disparities in Continuous Glucose Monitor Use Between Children With Type 1 Diabetes Living in Urban and Rural Areas
Examines the uptake of continuous glucose monitoring (CGM) technology in children with type 1 diabetes. Utilizes 2018-2021 electronic health record (EHR) data to observe CGM use according to patient sex, race/ethnicity, age, insurance type, and rurality. Discusses disparities among rural and urban populations.
Author(s): Daniel R. Tilden, Benjamin French, Karishma A. Datye, Sarah S. Jaser
Citation: Diabetes Care, 47(3), 346-352
Date: 03/2024
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Examines the uptake of continuous glucose monitoring (CGM) technology in children with type 1 diabetes. Utilizes 2018-2021 electronic health record (EHR) data to observe CGM use according to patient sex, race/ethnicity, age, insurance type, and rurality. Discusses disparities among rural and urban populations.
Author(s): Daniel R. Tilden, Benjamin French, Karishma A. Datye, Sarah S. Jaser
Citation: Diabetes Care, 47(3), 346-352
Date: 03/2024
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2024-2026 Tennessee State Health Plan
Presents a plan for health improvement in Tennessee for the period 2024-2026. Describes the state of health in Tennessee, identifies priorities, and makes recommendations related to early life, care delivery, social determinants of health, and more. Highlights goals for nutrition, maternal and infant health, older adults and healthy aging, chronic conditions, cancer screening, transportation, and health workforce.
Additional links: State Health Plan Priority Areas
Date: 03/2024
Sponsoring organization: Tennessee Department of Health
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Presents a plan for health improvement in Tennessee for the period 2024-2026. Describes the state of health in Tennessee, identifies priorities, and makes recommendations related to early life, care delivery, social determinants of health, and more. Highlights goals for nutrition, maternal and infant health, older adults and healthy aging, chronic conditions, cancer screening, transportation, and health workforce.
Additional links: State Health Plan Priority Areas
Date: 03/2024
Sponsoring organization: Tennessee Department of Health
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The Báa nnilah Program: Results of a Chronic-Illness Self-Management Cluster Randomized Trial with the Apsáalooke Nation
Presents a study on the efficacy of a chronic illness self-management program for Apsáalooke tribe in Montana. Breaks down data by demographic information, such as education, income, and marital status, among other measures, and number and type of illnesses managed.
Author(s): Suzanne Held, Du Feng, Alma McCormick, et al.
Citation: International Journal of Environmental Research and Public Health, 21(3), 285
Date: 02/2024
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Presents a study on the efficacy of a chronic illness self-management program for Apsáalooke tribe in Montana. Breaks down data by demographic information, such as education, income, and marital status, among other measures, and number and type of illnesses managed.
Author(s): Suzanne Held, Du Feng, Alma McCormick, et al.
Citation: International Journal of Environmental Research and Public Health, 21(3), 285
Date: 02/2024
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