Rural Health
Resources by Topic: Cancer
Three Large Scale Surveys Highlight the Complexity of Cervical Cancer Under-Screening Among Women 45-65 Years of Age in the United States
Examines cervical cancer screening rates based on data from the Behavioral Risk Factor Surveillance System, the Health Center Patient Survey, and the Health Information National Trends Survey. Discusses demographics, including rural and urban location, and screening rates by age, location, education level, race and ethnicity, and insurance coverage.
Author(s): Diane M. Harper, Melissa Plegue, Kathryn M. Harmes, Masahito Jimbo, Sherri SheinfeldGorin
Citation: Preventative Medicine, 130, 105880
Date: 01/2020
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Examines cervical cancer screening rates based on data from the Behavioral Risk Factor Surveillance System, the Health Center Patient Survey, and the Health Information National Trends Survey. Discusses demographics, including rural and urban location, and screening rates by age, location, education level, race and ethnicity, and insurance coverage.
Author(s): Diane M. Harper, Melissa Plegue, Kathryn M. Harmes, Masahito Jimbo, Sherri SheinfeldGorin
Citation: Preventative Medicine, 130, 105880
Date: 01/2020
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Access and Use of Electronic Health Information by Individuals with Cancer: 2017-2018
Explores how individuals with a cancer diagnosis accessed and utilized health information technology compared to those who have never had a cancer diagnosis. Compares the rates at which patients are offered access to their online medical record, how often they view their online medical record, and how they utilized the record, among other measures. Presents demographic and health-related data for the surveyed individuals, including the percentage in rural versus urban areas.
Author(s): Christian Johnson, Melinda Krakow, Vaishali Patel
Date: 01/2020
Sponsoring organization: Assistant Secretary for Technology Policy/Office of the National Coordinator for Health Information Technology
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Explores how individuals with a cancer diagnosis accessed and utilized health information technology compared to those who have never had a cancer diagnosis. Compares the rates at which patients are offered access to their online medical record, how often they view their online medical record, and how they utilized the record, among other measures. Presents demographic and health-related data for the surveyed individuals, including the percentage in rural versus urban areas.
Author(s): Christian Johnson, Melinda Krakow, Vaishali Patel
Date: 01/2020
Sponsoring organization: Assistant Secretary for Technology Policy/Office of the National Coordinator for Health Information Technology
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Border Health Status Report of the 44 U.S. Counties at the U.S.- Mexico Border
A review of selected 20 topic health indicators using public use data obtained from 44 counties, mostly rural, located along the U.S.-Mexico border region and within the states of Arizona, California, New Mexico, and Texas. Offers health indicator data for selected measurable objectives having baseline data on overall mortality, and mortality rates for diabetes, heart disease, cervical cancer, breast cancer, unintentional injuries, and road traffic-related. Health indicator data is also provided for non-measurable objectives, due to a lack of baseline data, on asthma, maternal mortality, gonorrhea, and congenital syphilis.
Author(s): Nicole Baker, Nicole Baker, Juan Albertorio, Alfonso Rodríguez-Lainz
Date: 2020
Sponsoring organization: United States-México Border Health Commission
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A review of selected 20 topic health indicators using public use data obtained from 44 counties, mostly rural, located along the U.S.-Mexico border region and within the states of Arizona, California, New Mexico, and Texas. Offers health indicator data for selected measurable objectives having baseline data on overall mortality, and mortality rates for diabetes, heart disease, cervical cancer, breast cancer, unintentional injuries, and road traffic-related. Health indicator data is also provided for non-measurable objectives, due to a lack of baseline data, on asthma, maternal mortality, gonorrhea, and congenital syphilis.
Author(s): Nicole Baker, Nicole Baker, Juan Albertorio, Alfonso Rodríguez-Lainz
Date: 2020
Sponsoring organization: United States-México Border Health Commission
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Cancer in Michigan 2020
Provides an overview of Michigan's cancer burden with data showing cancer rates by race and type of cancer, as well as mortality rates and cancer incidence by county. Includes rural versus urban comparisons of health behaviors such as smoking, drinking, and cancer screenings.
Date: 2020
Sponsoring organization: Michigan Department of Health and Human Services
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Provides an overview of Michigan's cancer burden with data showing cancer rates by race and type of cancer, as well as mortality rates and cancer incidence by county. Includes rural versus urban comparisons of health behaviors such as smoking, drinking, and cancer screenings.
Date: 2020
Sponsoring organization: Michigan Department of Health and Human Services
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Factors Associated with Not Receiving HPV Vaccine among Adolescents by Metropolitan Statistical Area Status, United States, National Immunization Survey–Teen, 2016–2017
Examines 2016 and 2017 data from the National Immunization Survey - Teen (NIS-Teen) to better understand the sociodemographic factors for adolescents not initiating the human papillomavirus (HPV) vaccine series, including by metropolitan statistical area (MSA) status. Table 1 shares data on several sociodemographic and healthcare access factors by MSA for teens aged 13-17 that did not receive an HPV vaccine, including age, sex, immigration status, region of the U.S., parental information, vaccination facility type, and more.
Author(s): Charnetta L. Williams, Tanja Y. Walker, Laurie D. Elam-Evans, et al.
Citation: Human Vaccines & Immunotherapeutics, 16(3), 562-572
Date: 2020
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Examines 2016 and 2017 data from the National Immunization Survey - Teen (NIS-Teen) to better understand the sociodemographic factors for adolescents not initiating the human papillomavirus (HPV) vaccine series, including by metropolitan statistical area (MSA) status. Table 1 shares data on several sociodemographic and healthcare access factors by MSA for teens aged 13-17 that did not receive an HPV vaccine, including age, sex, immigration status, region of the U.S., parental information, vaccination facility type, and more.
Author(s): Charnetta L. Williams, Tanja Y. Walker, Laurie D. Elam-Evans, et al.
Citation: Human Vaccines & Immunotherapeutics, 16(3), 562-572
Date: 2020
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Introducing the L.A.U.N.C.H Collaborative
Describes the Linking & Amplifying User-Centered Networks through Connected Health (L.A.U.N.C.H.) demonstration project, based in Appalachian Kentucky and aimed at preventing cancer and removing obstacles faced by cancer patients in rural and underserved areas, through improvements in broadband access.
Author(s): F. Douglas Scutchfield, Kevin Patrick
Citation: Journal of Appalachian Health, 2(1), 1-5
Date: 2020
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Describes the Linking & Amplifying User-Centered Networks through Connected Health (L.A.U.N.C.H.) demonstration project, based in Appalachian Kentucky and aimed at preventing cancer and removing obstacles faced by cancer patients in rural and underserved areas, through improvements in broadband access.
Author(s): F. Douglas Scutchfield, Kevin Patrick
Citation: Journal of Appalachian Health, 2(1), 1-5
Date: 2020
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Rural-Urban Differences in Financial Burden among Cancer Survivors: An Analysis of a Nationally Representative Survey
Analyzes 2012, 2014, and 2017 data from the National Cancer Institute's Health Information and National Trends Survey to determine differences in reported financial problems due to cancer in rural and urban populations. Table 1 provides a rural and urban comparison on several demographic and cancer characteristics, including sex, age, marital status, race and ethnicity, income, insurance status, and several factors related to cancer treatment.
Author(s): Whitney E. Zahnd, Melinda M. Davis, Jason S. Rotter, et al.
Citation: Supportive Care in Cancer, 27(12), 4779-4786
Date: 12/2019
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Analyzes 2012, 2014, and 2017 data from the National Cancer Institute's Health Information and National Trends Survey to determine differences in reported financial problems due to cancer in rural and urban populations. Table 1 provides a rural and urban comparison on several demographic and cancer characteristics, including sex, age, marital status, race and ethnicity, income, insurance status, and several factors related to cancer treatment.
Author(s): Whitney E. Zahnd, Melinda M. Davis, Jason S. Rotter, et al.
Citation: Supportive Care in Cancer, 27(12), 4779-4786
Date: 12/2019
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Challenges of Using Nationally Representative, Population-Based Surveys to Assess Rural Cancer Disparities
Examines research methods in studies of rural cancer-related health behaviors and disparities, exploring the definition of "rural" in population-based national surveys, complications for rural cancer studies, and possible solutions to improve survey accuracy. Discusses prominent data sources, including the National Health Interview Survey (NHIS), the Behavioral Risk Factor Surveillance System (BRFSS), the Medical Expenditures Panel Survey (MEPS), and the National Cancer Institute's Health Information National Trends Survey (HINTS), and examines use of these data sources in 68 published studies.
Author(s): Whitney E. Zahnd, Natoshia Askelson, Robin C. Vanderpool, et al.
Citation: Preventive Medicine, 129(Supplement), 105812
Date: 12/2019
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Examines research methods in studies of rural cancer-related health behaviors and disparities, exploring the definition of "rural" in population-based national surveys, complications for rural cancer studies, and possible solutions to improve survey accuracy. Discusses prominent data sources, including the National Health Interview Survey (NHIS), the Behavioral Risk Factor Surveillance System (BRFSS), the Medical Expenditures Panel Survey (MEPS), and the National Cancer Institute's Health Information National Trends Survey (HINTS), and examines use of these data sources in 68 published studies.
Author(s): Whitney E. Zahnd, Natoshia Askelson, Robin C. Vanderpool, et al.
Citation: Preventive Medicine, 129(Supplement), 105812
Date: 12/2019
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Mortality-to-Incidence Ratios by U.S. Congressional District: Implications for Epidemiologic, Dissemination and Implementation Research, and Public Health Policy
Analyzes congressional district-specific mortality-to-incidence ratios (MIR) between 2011 and 2015 for all cancers and for cancers of breast, cervix, colorectal, esophagus, lung, oral, pancreas, and prostate cancers. Compares MIRs across regions, state Medicaid expansion status, race, and rurality. Discusses implications for policymakers and researchers.
Author(s): Jan M. Eberth, Whitney E. Zahnd, Swann Arp Adams, et al.
Citation: Preventative Medicine, 129(S), 105849
Date: 12/2019
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Analyzes congressional district-specific mortality-to-incidence ratios (MIR) between 2011 and 2015 for all cancers and for cancers of breast, cervix, colorectal, esophagus, lung, oral, pancreas, and prostate cancers. Compares MIRs across regions, state Medicaid expansion status, race, and rurality. Discusses implications for policymakers and researchers.
Author(s): Jan M. Eberth, Whitney E. Zahnd, Swann Arp Adams, et al.
Citation: Preventative Medicine, 129(S), 105849
Date: 12/2019
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Understanding Primary Care Providers' Perceptions of Cancer Prevention and Screening in a Predominantly Rural Healthcare System in the Upper Midwest
Study examining primary care provider experiences and perceptions of using electronic medical record (EMR) systems for cancer prevention. Discusses survey data from 36 primary care clinics to evaluate EMR systems as prevention tools.
Author(s): Daniel M. Saman, Kayla M. Walton, Melissa L. Harry, et al.
Citation: BMC Health Services Research, 19, 1019
Date: 12/2019
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Study examining primary care provider experiences and perceptions of using electronic medical record (EMR) systems for cancer prevention. Discusses survey data from 36 primary care clinics to evaluate EMR systems as prevention tools.
Author(s): Daniel M. Saman, Kayla M. Walton, Melissa L. Harry, et al.
Citation: BMC Health Services Research, 19, 1019
Date: 12/2019
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