New York University School of Medicine
New York, 10016, United States
NCT Number: NCT03254524
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.
Looking for future studies?
Notify MeUp to 120 year
All sexes
Observational
New York, 10016, United States
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The Statewide Planning and Research Cooperative System (SPARCS) is a comprehensive data reporting system created to collect information on discharges from hospitals. SPARCS currently collects patient level detail on patient characteristics, diagnoses and treatments, services, and charges for every hospital discharge, ambulatory surgery patient, and emergency department admission in New York State.
Other names: SPARCS
Time frame: 1 Day
In order to identify repeat ED visits by the same individual, unique identifiers within SPARCS match visits by the same individual throughout the study period
Time frame: 1 Day
Proportion of individuals who recieve a given diagnosis like diabetes during any emergency department visit including emergency inpatient admissions.
Time frame: 1 Day
Analysis of how disease prevalence can be measured at the level of the entire state. Populations will be stratified based on geography.
Time frame: 1 Day
Identification of the selection of a given hospital by patients based on facility codes contained within the SPARCS database.
NYU Langone Health
Other
Statewide Analysis of Emergency Department Use for Determining Geographic Patterns of Emergency Care Use, Hospital Choice and Measures of Population Health.
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT05320276
Asthma, Bronchial Diseases
Paris, France
View Trial DetailsNCT04497922
Behavior, COVID-19
Boston, Massachusetts, United States
View Trial DetailsNCT04916028
Chemically-Induced Disorders, Disease Attributes
Amiens, France
View Trial DetailsNCT04031183
Disease Attributes, Emergencies
Angers, France
View Trial Details