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Rural Health
Resources by Topic: Mortality

Community Navigation Intervention for Social Needs in Patients With Abnormal Mammography: A Randomized Controlled Trial Study Protocol
Presents a study exploring the efficacy of community navigators, such as 211, to help alleviate unmet social needs and change the likelihood of cancer patients with unmet social needs to complete their follow-up care. Discusses the importance of follow-up care in the treatment and prevention of cancer and the barriers individuals with unmet social needs face to receive it. Explores rurality as a potential barrier.
Author(s): Kirstin Beck, Mackenzie Mitchell, Andrea S. Wallace, et al.
Citation: BMC Public Health, 25, 2926
Date: 08/2025
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Traffic Safety Facts, 2023 Data: State Traffic Data
Contains information on fatal motor vehicle crashes and fatalities, using data from the Fatality Analysis Reporting System. Includes a state-level U.S. map showing percentage change in traffic fatalities from 2022-2023. Features state-by-state statistics on fatalities and fatality rates, percentage change from 1975-2023, population and vehicle miles traveled in 2014 and 2023, registered vehicles and licensed drivers in 2014 and 2023, vehicle type, restraint use, passenger fatalities, alcohol use and survivor status, and speeding-related fatalities by roadway function class, with breakdowns including interstate rural and urban interstate.
Date: 08/2025
Sponsoring organization: National Highway Traffic Safety Administration
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Trends in Births and Deaths: United States, 2010–2023
Offers data showing trends in births and deaths between 2010 and 2023 by demographic and geographic factors including urbanicity.
Author(s): Brady E. Hamilton, Anne K. Driscoll, Arialdi M. Miniño
Citation: National Vital Statistics Reports, 74(11)
Date: 08/2025
Sponsoring organization: National Center for Health Statistics
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Traffic Safety Facts, 2023 Data: A Compilation of Motor Vehicle Traffic Crash Data
Presents descriptive statistics about traffic crashes of all severities, from those that result in property damage to those that result in the loss of human life. Features statistics including rural fatal crashes by average emergency medical services response times, vehicles involved in fatal crashes by speed limit, roadway function class, crash type, and hazardous cargo, and vehicle occupants killed in crashes, with breakdowns by state and by rural or urban location.
Date: 08/2025
Sponsoring organization: National Highway Traffic Safety Administration
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Trends in United States Mortality among Patients with Atrial Fibrillation/Flutter Related Heart Failure (1999–2024): Disparities by Gender, Race/Ethnicity and Region
Examines the correlation between atrial fibrillation (AF) and heart failure (HF) mortality across various demographic groups in the United States. Utilizes 1999-2024 Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) data to analyze deaths due to AF related HF by demographic groups, states, U.S. regions, and metro versus nonmetro areas.
Author(s): Suraksha Rani, Laksh Kumar, Sheikh Muhammad Ebtehaj Ali, et al.
Citation: BMC Cardiovascular Disorders, 25, 558
Date: 07/2025
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Trends in Pulmonary Embolism Mortality in Cancer Patients in the United States from 1999-2022 – A CDC Wonder Database Study
Examines mortality rates from pulmonary embolism (PE) in cancer patients. Utilizes 1999-2022 Centers for Disease Control's Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) data to analyze 214,756 deaths, with breakdowns according to demographic variables, U.S. region, state, and rural versus urban location.
Author(s): Elizabeth Dort, Hannah Rud, Taylor Billion, Abubakar Tauseef
Citation: Respiratory Research, 26, 248
Date: 07/2025
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Maternal Mortality in the United States, 2025
Explores the causes of maternal mortality and its impact on overall health. Presents data on overall trends in U.S. maternal mortality; timing, causes, and place of maternal deaths; and how pregnancy-related deaths are related to infant mortality. Discusses rural disparities, behavioral health challenges, the COVID-19 pandemic's impact on pregnant women, and efforts to address the maternal health crisis.
Author(s): Eugene Declercq, Laurie Zephyrin
Date: 07/2025
Sponsoring organization: Commonwealth Fund
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Cancer in Rural America: Improving Access to Clinical Trials and Quality of Oncologic Care
Discusses the importance of rural populations accessing oncologic clinical trials to decrease cancer morbidity and mortality rates in rural areas. Provides rural versus urban patient data on distance from trial sites as well as prevalence of chronic disease. Suggests strategies and policies to improve access to clinical trials.
Author(s): Joseph M. Unger, Barbara L. McAneny, Raymond U. Osarogiagbon
Citation: CA: A Cancer Journal for Clinicians, 75(4), 341-361
Date: 07/2025
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Natural Hazards, Losses, and Quality of Hazard Mitigation Plans in Rural Pennsylvania
Results of a study identifying and analyzing characteristics of natural hazards and losses in Pennsylvania over time, characteristics of rural and urban hazard mitigation planning, and challenges for county emergency management coordinators. Offers recommendations to address staff shortages faced by emergency management personnel in rural areas. Features statistics including property losses and deaths from hazards in Pennsylvania by year from 2000-2021, with breakdowns by urban and rural areas.
Author(s): Jennifer J. Haney
Date: 07/2025
Sponsoring organization: Center for Rural Pennsylvania
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Machine Learning to Evaluate the Effects of Non-Clinical Social Determinant Features in Predicting Colorectal Cancer Mortality in a Medically Underserved Appalachian Population
Examines colorectal cancer (CRC) survival rates in rural Appalachia and the related impact of demographic, clinical, and social determinant of health (SDOH) factors. Utilizes machine learning (ML) models to analyze data from Appalachian cancer centers and examines what factors contribute most to CRC survival in Appalachia. Discusses the impact of including SDOH in ML prediction models and implications for further CRC research.
Author(s): Aisha Montgomery, Ravi Vadapalli, Frank A. Dinenno, et al.
Citation: Scientific Reports, 15, 25781
Date: 07/2025
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