Rural Health
Resources by Topic: Rural-urban differences
Low Birthweight Rate Differences Associated with Distinct Perinatal Staffing Mixes at Federally Funded Health Centers
Examines associations between health center staffing models and low birthweight (LBW), utilizing 2011-2021 Uniform Data System files of 1,385 health centers. Includes data on rural-urban differences in distribution of hospitals staffing certified nurse midwives (CNMs), obstetricians-gynecologists (OBs), both, or neither.
Author(s): Paula M. Kett, Grace A. Guenther, Marieke S. van Eijk, David G. Patterson, Bianca K. Frogner
Citation: Health Affairs Scholar, 2(12), qxae113
Date: 12/2024
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Examines associations between health center staffing models and low birthweight (LBW), utilizing 2011-2021 Uniform Data System files of 1,385 health centers. Includes data on rural-urban differences in distribution of hospitals staffing certified nurse midwives (CNMs), obstetricians-gynecologists (OBs), both, or neither.
Author(s): Paula M. Kett, Grace A. Guenther, Marieke S. van Eijk, David G. Patterson, Bianca K. Frogner
Citation: Health Affairs Scholar, 2(12), qxae113
Date: 12/2024
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OHA Director 2024 Statewide Listening Tour
Outlines planned priorities following a 2024 listening tour by the Oregon Health Authority Director in the areas of public health, Medicaid, policy and analytics, and behavioral health. Discusses capturing rural and urban health disparities, alternative payment models for healthcare providers, and rural healthcare facility closures.
Date: 12/2024
Sponsoring organization: Oregon Health Authority
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Outlines planned priorities following a 2024 listening tour by the Oregon Health Authority Director in the areas of public health, Medicaid, policy and analytics, and behavioral health. Discusses capturing rural and urban health disparities, alternative payment models for healthcare providers, and rural healthcare facility closures.
Date: 12/2024
Sponsoring organization: Oregon Health Authority
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Trends in Gestational Weight Gain and Prepregnancy Obesity in South Carolina, 2015–2021
Examines prepregnancy and gestational weight gain in South Carolina women before and during the COVID-19 pandemic. Utilizes 2015-2021 data from 239,597 mothers with data broken down by weight gain, relative prenatal risk, lifestyle and clinic factors, and sociodemographics of patients, including rurality.
Author(s): Sarah E. Simpson, Angela M. Malek, Chun-Che Wen, et al.
Citation: Preventing Chronic Disease, 21
Date: 12/2024
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Examines prepregnancy and gestational weight gain in South Carolina women before and during the COVID-19 pandemic. Utilizes 2015-2021 data from 239,597 mothers with data broken down by weight gain, relative prenatal risk, lifestyle and clinic factors, and sociodemographics of patients, including rurality.
Author(s): Sarah E. Simpson, Angela M. Malek, Chun-Che Wen, et al.
Citation: Preventing Chronic Disease, 21
Date: 12/2024
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Trends in Mental, Behavioral, and Developmental Disorders among Children and Adolescents in the US, 2016–2021
Analyzes mental, behavioral, and developmental disorders (MBDDs) in children and factors that contribute to MBDD outcomes. Utilizes 2016-2021 National Survey of Children's Health data with breakdowns according to prevalence and type of MBDD, receipt of healthcare services, parent and family well-being, community support and safety, and demographic characteristics of children with MBDD, including urban/suburban versus rural location.
Author(s): Rebecca T. Leeb, Melissa L. Danielson, Angelika H. Claussen, et al.
Citation: Preventing Chronic Disease, 21
Date: 12/2024
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Analyzes mental, behavioral, and developmental disorders (MBDDs) in children and factors that contribute to MBDD outcomes. Utilizes 2016-2021 National Survey of Children's Health data with breakdowns according to prevalence and type of MBDD, receipt of healthcare services, parent and family well-being, community support and safety, and demographic characteristics of children with MBDD, including urban/suburban versus rural location.
Author(s): Rebecca T. Leeb, Melissa L. Danielson, Angelika H. Claussen, et al.
Citation: Preventing Chronic Disease, 21
Date: 12/2024
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Variation in Elder Abuse State Statutes by State Level of Rurality
Examines elements of state-level elder abuse statutes' definitions and reporting requirements. Discusses potential differences in these policies by state rurality that could influence the understanding of elder abuse among rural and urban areas. Features statistics including types of abuse and reporting laws, and most common types of mandatory reporter categories, with breakdowns by three levels of rurality.
Author(s): Alexis Swendener, Alyssa Fritz, Marti DeLiema, Carrie Henning-Smith
Date: 12/2024
Sponsoring organization: University of Minnesota Rural Health Research Center
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Examines elements of state-level elder abuse statutes' definitions and reporting requirements. Discusses potential differences in these policies by state rurality that could influence the understanding of elder abuse among rural and urban areas. Features statistics including types of abuse and reporting laws, and most common types of mandatory reporter categories, with breakdowns by three levels of rurality.
Author(s): Alexis Swendener, Alyssa Fritz, Marti DeLiema, Carrie Henning-Smith
Date: 12/2024
Sponsoring organization: University of Minnesota Rural Health Research Center
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Factors Associated with Utilization of Mobile Health Clinic Hepatitis C Virus Services among Medically Underserved Communities in South Carolina
Examines the use of mobile health clinics (MHCs) to deliver hepatitis C (HCV) screening and treatment in rural and underserved South Carolina communities. Provides data on the association of demographic and community factors, including rurality, with MHC utilization, HCV positivity rates, and MHC HCV treatment initiation.
Author(s): Kerry A. Howard, Fatih Gezer, Caitlin A. Moore, et al.
Citation: BMC Global and Public Health, 2, 84
Date: 12/2024
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Examines the use of mobile health clinics (MHCs) to deliver hepatitis C (HCV) screening and treatment in rural and underserved South Carolina communities. Provides data on the association of demographic and community factors, including rurality, with MHC utilization, HCV positivity rates, and MHC HCV treatment initiation.
Author(s): Kerry A. Howard, Fatih Gezer, Caitlin A. Moore, et al.
Citation: BMC Global and Public Health, 2, 84
Date: 12/2024
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Non-Medical Health-Related Needs of Certain Pregnant Women Report, Texas
Reports on the health outcomes of pregnant Medicaid and Thriving Texas Families (TTF) members in Texas. Provides demographic data on enrollment in each program, including comparisons between rural, micro, and metro areas.
Date: 12/2024
Sponsoring organization: Texas Health and Human Services
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Reports on the health outcomes of pregnant Medicaid and Thriving Texas Families (TTF) members in Texas. Provides demographic data on enrollment in each program, including comparisons between rural, micro, and metro areas.
Date: 12/2024
Sponsoring organization: Texas Health and Human Services
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Racial and Ethnic and Rural Variations in the Use of Hybrid Prenatal Care in the US
Examines how factors of race/ethnicity, location, and telehealth restriction waivers during COVID-19 impact the uptake of hybrid prenatal care. Provides demographic breakdowns related to telehealth use of women during pregnancy and the COVID-19 public health emergency, with additional data on health conditions, U.S. region, and urban or rural residence.
Author(s): Peiyin Hung, Jiani Yu, Sayward E. Harrison, et al.
Citation: JAMA Network Open, 7(12)
Date: 12/2024
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Examines how factors of race/ethnicity, location, and telehealth restriction waivers during COVID-19 impact the uptake of hybrid prenatal care. Provides demographic breakdowns related to telehealth use of women during pregnancy and the COVID-19 public health emergency, with additional data on health conditions, U.S. region, and urban or rural residence.
Author(s): Peiyin Hung, Jiani Yu, Sayward E. Harrison, et al.
Citation: JAMA Network Open, 7(12)
Date: 12/2024
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Enrollment in High-Deductible Health Plans Among People Younger Than Age 65 With Private Health Insurance: United States, 2019–2023
Examines privately insured adults under the age of 65 who are enrolled in high-deductible health plans (HDHP) and consumer-directed health plans (CDHP). Utilizes 2019-2023 National Health Interview Survey data of HDHPs and CDHPs, with breakdowns by employment-based versus directly purchased insurance, race/ethnicity, poverty level, education, sex, age group, and urbanization level by 4 groups: large central metropolitan, large fringe metropolitan, medium and small metropolitan, and nonmetropolitan.
Author(s): Robin A. Cohen, Elizabeth M. Briones
Date: 12/2024
Sponsoring organization: National Center for Health Statistics
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Examines privately insured adults under the age of 65 who are enrolled in high-deductible health plans (HDHP) and consumer-directed health plans (CDHP). Utilizes 2019-2023 National Health Interview Survey data of HDHPs and CDHPs, with breakdowns by employment-based versus directly purchased insurance, race/ethnicity, poverty level, education, sex, age group, and urbanization level by 4 groups: large central metropolitan, large fringe metropolitan, medium and small metropolitan, and nonmetropolitan.
Author(s): Robin A. Cohen, Elizabeth M. Briones
Date: 12/2024
Sponsoring organization: National Center for Health Statistics
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Exploring Disparities in Post-Cancer Treatment Instructions: An Analysis of Rural vs. Urban Breast Cancer Survivors in Missouri using BRFSS Data
Examines receipt of post-cancer treatment summary and follow-up instructions among rural and urban breast cancer survivors in Missouri, utilizing Behavioral Risk Factor Surveillance System Cancer Survivorship Module data for 2014, 2016, 2018, and 2020. Provides data breakdowns by metropolitan, micropolitan, small town, and rural setting.
Author(s): Allison B. Anbari, Knoo Lee, Jennifer M. Hulett, et al.
Citation: BMC Health Services Research, 24, 1533
Date: 12/2024
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Examines receipt of post-cancer treatment summary and follow-up instructions among rural and urban breast cancer survivors in Missouri, utilizing Behavioral Risk Factor Surveillance System Cancer Survivorship Module data for 2014, 2016, 2018, and 2020. Provides data breakdowns by metropolitan, micropolitan, small town, and rural setting.
Author(s): Allison B. Anbari, Knoo Lee, Jennifer M. Hulett, et al.
Citation: BMC Health Services Research, 24, 1533
Date: 12/2024
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