Geography of ED Use and Population Health
| Status: | Active, not recruiting |
|---|---|
| Conditions: | Hospital, Diabetes |
| Therapuetic Areas: | Endocrinology, Other |
| Healthy: | No |
| Age Range: | Any - 120 |
| Updated: | 5/13/2018 |
| Start Date: | August 20, 2014 |
| End Date: | December 31, 2020 |
Statewide Analysis of Emergency Department Use for Determining Geographic Patterns of Emergency Care Use, Hospital Choice and Measures of Population Health.
The goal of this study is to create predictive models of emergency care and metrics for
population health that can be used to analyze how events like hospital closures or disasters
like Hurricane Sandy affect health care utilization by patients in specific populations or
geographic regions. Additionally, it will allow the development of metrics for population
health that can act as surveillance mechanisms to measure disease prevalence and identify
patterns in emergency department use that can be used to identify specific geographic regions
where health care is either optimized to promote health or needs to be improve so that
population health can be improved.
population health that can be used to analyze how events like hospital closures or disasters
like Hurricane Sandy affect health care utilization by patients in specific populations or
geographic regions. Additionally, it will allow the development of metrics for population
health that can act as surveillance mechanisms to measure disease prevalence and identify
patterns in emergency department use that can be used to identify specific geographic regions
where health care is either optimized to promote health or needs to be improve so that
population health can be improved.
The purpose of this study is to analyze the geographic patterns of emergency department
utilization. This study will look at the relationship that geographic proximity and local
population factors have on patient use of emergency departments. Geographic proximity of
alternative hospitals and elicit other patient and hospital specific factors, such as
demographic, insurance type, diagnosis, and socioeconomic factors that lead patients to
choose specific hospitals for emergency care or generally lead to patients accessing
emergency care will be compared.
Patterns of emergency department utilization by patients will be identified in specific
geographies such as Census tracts to determine clusters of high and low emergency department
use. We also analyze the patterns of emergency care use based on specific disease
conditions.Investigators will analyze the rate of emergency department use for patients with
diabetes to determine population prevalence of diseases using emergency department data.
Studying the pattern of use by specific geographies or disease conditions will also allow us
to understand how emergency department use varies among populations by geographies and the
socioeconomic and health care factors local to those regions.
utilization. This study will look at the relationship that geographic proximity and local
population factors have on patient use of emergency departments. Geographic proximity of
alternative hospitals and elicit other patient and hospital specific factors, such as
demographic, insurance type, diagnosis, and socioeconomic factors that lead patients to
choose specific hospitals for emergency care or generally lead to patients accessing
emergency care will be compared.
Patterns of emergency department utilization by patients will be identified in specific
geographies such as Census tracts to determine clusters of high and low emergency department
use. We also analyze the patterns of emergency care use based on specific disease
conditions.Investigators will analyze the rate of emergency department use for patients with
diabetes to determine population prevalence of diseases using emergency department data.
Studying the pattern of use by specific geographies or disease conditions will also allow us
to understand how emergency department use varies among populations by geographies and the
socioeconomic and health care factors local to those regions.
Inclusion Criteria:
- Patients visiting an emergency department in New York State
Exclusion Criteria:
- Depending on the population analyzed, may exclude some subpopulations such as children
(in order study adults), prisoners or patients transferred from other healthcare
facilities (in order to study non-institutionalized individuals).
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