Rural Health
                Resources by Topic: Statistics and data
    
                    Neighborhood Socioeconomic Disadvantage and 30 Day Rehospitalizations: An Analysis of Medicare Data
        
Examines the association between neighborhood socioeconomic disadvantage and 30-day rehospitalizations for patients discharged with congestive heart failure, pneumonia, or acute myocardial infarction. Includes data by location of patient residence for small town/rural, large town, suburban, and urban core areas.
Author(s): Amy J.H. Kind, Steve Jencks, Jane Brock, et al.
Citation: Annals of Internal Medicine, 161(11), 765-774
Date: 12/2014
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    Examines the association between neighborhood socioeconomic disadvantage and 30-day rehospitalizations for patients discharged with congestive heart failure, pneumonia, or acute myocardial infarction. Includes data by location of patient residence for small town/rural, large town, suburban, and urban core areas.
Author(s): Amy J.H. Kind, Steve Jencks, Jane Brock, et al.
Citation: Annals of Internal Medicine, 161(11), 765-774
Date: 12/2014
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                    A Community-Based, Culturally Relevant Intervention to Promote Healthy Eating and Physical Activity among Middle-Aged African American Women in Rural Alabama: Findings from a Group Randomized Controlled Trial
        
Examines a community-based, culturally relevant intervention to promote healthy eating and physical activity among African American women between the ages of 45-65 living in rural Alabama. Includes study participant demographic data at the starting baseline and a 24 month follow up. Covers healthy lifestyle data at the starting baseline, 12 month, and 24 month follow up for dietary and physical activity measures.
Author(s): Isabel C. Scarinci, Artisha Moore, Theresa Wynn, et al.
Citation: Preventive Medicine, 69, 13-20
Date: 12/2014
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    Examines a community-based, culturally relevant intervention to promote healthy eating and physical activity among African American women between the ages of 45-65 living in rural Alabama. Includes study participant demographic data at the starting baseline and a 24 month follow up. Covers healthy lifestyle data at the starting baseline, 12 month, and 24 month follow up for dietary and physical activity measures.
Author(s): Isabel C. Scarinci, Artisha Moore, Theresa Wynn, et al.
Citation: Preventive Medicine, 69, 13-20
Date: 12/2014
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                    The Built Environment and Utilitarian Walking in Small U.S. Towns
        
Examines associations in self-reported and objective built environment walking measures among rural adults. Includes walking data by demographics, lifestyle characteristics, and environmental measures.
Author(s): Mark P. Doescher, Chanam Lee, Ethan M. Berke, et al.
Citation: Preventive Medicine, 69, 80-86
Date: 12/2014
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    Examines associations in self-reported and objective built environment walking measures among rural adults. Includes walking data by demographics, lifestyle characteristics, and environmental measures.
Author(s): Mark P. Doescher, Chanam Lee, Ethan M. Berke, et al.
Citation: Preventive Medicine, 69, 80-86
Date: 12/2014
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                    The Effects of Expanding Public Insurance to Rural Low-Income Childless Adults
        
Details a study on the effects of the Affordable Care Act (ACA) Medicaid expansion on healthcare usage for rural adults without children in Wisconsin from 2007-2012. Discusses the frequency and type of care sought after participants gained coverage. Records visits in 3 categories: Emergency department visits, hospitalizations, and outpatient visits.
Author(s): Marguerite E. Burns, Laura Dague, Thomas DeLeire, et al.
Citation: Health Services Research, 49(s2), 2173-2187
Date: 12/2014
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    Details a study on the effects of the Affordable Care Act (ACA) Medicaid expansion on healthcare usage for rural adults without children in Wisconsin from 2007-2012. Discusses the frequency and type of care sought after participants gained coverage. Records visits in 3 categories: Emergency department visits, hospitalizations, and outpatient visits.
Author(s): Marguerite E. Burns, Laura Dague, Thomas DeLeire, et al.
Citation: Health Services Research, 49(s2), 2173-2187
Date: 12/2014
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                    Quality of Life and Loneliness in Stroke Survivors Living in Appalachia
        
Reports on a study of loneliness and its effect on the quality of life (QoL) among rural stroke survivors in Appalachian West Virginia. Looks at post-stroke factors in determining QoL, such as continued smoking, recovery in a nursing home versus the patient's home, and comorbidity.
Author(s): Laurie Theeke, Patricia Horstman, Jennifer Mallow, et al.
Citation: Journal of Neuroscience Nursing, 46(6), E3-15
Date: 12/2014
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    Reports on a study of loneliness and its effect on the quality of life (QoL) among rural stroke survivors in Appalachian West Virginia. Looks at post-stroke factors in determining QoL, such as continued smoking, recovery in a nursing home versus the patient's home, and comorbidity.
Author(s): Laurie Theeke, Patricia Horstman, Jennifer Mallow, et al.
Citation: Journal of Neuroscience Nursing, 46(6), E3-15
Date: 12/2014
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                    Cancer Disparities Among Alaska Native People, 1970-2011
        
Examines cancer incidence and mortality data for Alaska Native (AN) people in different categories and varying year ranges from 1970 through 2011, and compares cancer rates for AN and U.S. White populations. Shows that cancer mortality rates among AN people exceeded rates among White people for all cancers combined, for cancers of the lung, stomach, pancreas, kidney, and cervix, and for colorectal cancer.
Author(s): Janet J. Kelly, Anne P. Lanier, Teresa Schade, Jennifer Brantley, B. Michael Starkey
Citation: Preventing Chronic Disease, 11
Date: 12/2014
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    Examines cancer incidence and mortality data for Alaska Native (AN) people in different categories and varying year ranges from 1970 through 2011, and compares cancer rates for AN and U.S. White populations. Shows that cancer mortality rates among AN people exceeded rates among White people for all cancers combined, for cancers of the lung, stomach, pancreas, kidney, and cervix, and for colorectal cancer.
Author(s): Janet J. Kelly, Anne P. Lanier, Teresa Schade, Jennifer Brantley, B. Michael Starkey
Citation: Preventing Chronic Disease, 11
Date: 12/2014
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                    Utilization of Intensive Care Services, 2011
        
Provides data on utilization of intensive care services across 29 states. Table 3 provides information on ICU utilization by hospital characteristics, including metropolitan or nonmetropolitan location and hospital designation (Critical Access or teaching).
Author(s): Marguerite L. Barrett, Mark W. Smith, Anne Elixhauser, Leah S. Honigman, Jesse M. Pines
Date: 12/2014
Sponsoring organization: Agency for Healthcare Research and Quality
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    Provides data on utilization of intensive care services across 29 states. Table 3 provides information on ICU utilization by hospital characteristics, including metropolitan or nonmetropolitan location and hospital designation (Critical Access or teaching).
Author(s): Marguerite L. Barrett, Mark W. Smith, Anne Elixhauser, Leah S. Honigman, Jesse M. Pines
Date: 12/2014
Sponsoring organization: Agency for Healthcare Research and Quality
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                    Risk Factors for HCV Infection Among Young Adults in Rural New York Who Inject Prescription Opioid Analgesics
        
Details a study of hepatitis C virus (HCV) prevalence among people who inject drugs and those who misuse prescription opioid analgesics in rural New York. Analyzes cohort by age, sex, age at first injection, and use of a syringe exchange program, among others.
Author(s): Jon E. Zibbell, Rachel Hart-Malloy, John Barry, Lillian Fan, Colleen Flanigan
Citation: American Journal of Public Health, 104(11), 2226-2232
Date: 11/2014
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    Details a study of hepatitis C virus (HCV) prevalence among people who inject drugs and those who misuse prescription opioid analgesics in rural New York. Analyzes cohort by age, sex, age at first injection, and use of a syringe exchange program, among others.
Author(s): Jon E. Zibbell, Rachel Hart-Malloy, John Barry, Lillian Fan, Colleen Flanigan
Citation: American Journal of Public Health, 104(11), 2226-2232
Date: 11/2014
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                    All Rural Places Are Not Created Equal: Revisiting the Rural Mortality Penalty in the United States
        
Examines disparities in mortality between rural and urban areas in the U.S. by measuring disparities across different levels of rurality. Includes data for rural populations and excess deaths. Table 2 covers mortality by percent African American, percent in poverty, percent age 65 years and older, region, emergency department visits, hospital physicians, and hospital beds.
Author(s): Wesley L. James
Citation: American Journal of Public Health, 104(11), 2122-2129
Date: 11/2014
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    Examines disparities in mortality between rural and urban areas in the U.S. by measuring disparities across different levels of rurality. Includes data for rural populations and excess deaths. Table 2 covers mortality by percent African American, percent in poverty, percent age 65 years and older, region, emergency department visits, hospital physicians, and hospital beds.
Author(s): Wesley L. James
Citation: American Journal of Public Health, 104(11), 2122-2129
Date: 11/2014
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                    Depressive Symptoms and Type 2 Diabetes Mellitus in Rural Appalachia: An 18-month Follow-up Study
        
Highlights a study of the predictors and rates of depression in rural Appalachian adults with Type 2 Diabetes Mellitus (T2MD). Analyzes data sets collected 18 months apart and measures the comorbidity at each time by sex, race, and income, as well as by severity of depressive symptoms, method of treatment, and several other factors.
Author(s): Mary de Groot, Todd Doyle, Jennifer Averyt, Carleen Risaliti, Jay Shubrook
Citation: International Journal of Psychiatry in Medicine, 48(4), 263-277
Date: 11/2014
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    Highlights a study of the predictors and rates of depression in rural Appalachian adults with Type 2 Diabetes Mellitus (T2MD). Analyzes data sets collected 18 months apart and measures the comorbidity at each time by sex, race, and income, as well as by severity of depressive symptoms, method of treatment, and several other factors.
Author(s): Mary de Groot, Todd Doyle, Jennifer Averyt, Carleen Risaliti, Jay Shubrook
Citation: International Journal of Psychiatry in Medicine, 48(4), 263-277
Date: 11/2014
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