Combined data for: Impacts of Access to Hospital and Emergency Care on Rural Mortality in Tennessee, 2010-2019 - A GIS-informed Mixed-Effects Modeling Study

Principal Investigator(s):  View help for Principal Investigator(s) Tracey Stansberry, University of Tennessee; Liem Tran, University of Tennessee; Carole Myers, University of Tennessee; Patricia N.E. Roberson, University of Tennessee; Sangwoo Ahn, University of Tennessee

Version:  View help for Version V1

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Combined data for: Impacts of Access to Hospital and Emergency Care on Rural Mortality in Tennessee, 2010-2019 - A GIS-informed Mixed-Effects Modeling Study 0

Project Citation: 

Stansberry, Tracey, Tran, Liem, Myers, Carole, Roberson, Patricia N.E., and Ahn, Sangwoo. Combined data for: Impacts of Access to Hospital and Emergency Care on Rural Mortality in Tennessee, 2010-2019 - A GIS-informed Mixed-Effects Modeling Study . Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-01-26. https://doi.org/10.3886/E197970V1

Project Description

Summary:  View help for Summary Based upon the Vulnerable Populations Conceptual Model, our study sought to understand the relationship between Tennessee's disparate rural mortality rates and the distance and travel times to hospital and emergency care (access to care), plus other environmental and human capital resources (2010 – 2019). 

Scope of Project

Subject Terms:  View help for Subject Terms Rural hospital closures; health disparities; rural economies; Tennessee; rural health; Vulnerable Populations Conceptual Model
Geographic Coverage:  View help for Geographic Coverage Tennessee
Universe:  View help for Universe Tennessee's 95 counties
Data Type(s):  View help for Data Type(s) aggregate data; census/enumeration data; geographic information system (GIS) data; other
Collection Notes:  View help for Collection Notes We conducted a deductive GIS-informed retrospective ecological correlational study using annual cross-sectional secondary data from publicly available datasets.  After descriptive and initial correlational testing, we employed aspatial and spatial negative binomial generalized linear mixed-effects models (GLMMs).

Methodology

Sampling:  View help for Sampling Annual county-level data for Tennessee's 95 counties, 2010 - 2019.
Data Source:  View help for Data Source Hospital location: MCR, U.S. Department of Homeland Security, Tennessee Department of Health
Socioeconomic and demographic data: U.S. Census Bureau American Community Survey (5-yr), Small Area Health Insurance Estimates, and Purdue University’s Index of Relative Rurality
Primary care density: HRSA Area Health Resource files
Mortality: CDC, National Center for Health Statistics (WONDER)
State, county, and census tract borders: U.S. Census Bureau TIGER shapefiles

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V1 [2024-01-26]

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