NCT03254524

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
100

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Aug 2014

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

August 20, 2014

Completed
3 years until next milestone

First Submitted

Initial submission to the registry

August 16, 2017

Completed
2 days until next milestone

First Posted

Study publicly available on registry

August 18, 2017

Completed
3.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2020

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2020

Completed
Last Updated

February 8, 2021

Status Verified

February 1, 2021

Enrollment Period

6.4 years

First QC Date

August 16, 2017

Last Update Submit

February 4, 2021

Conditions

Keywords

Epidemiology Research

Outcome Measures

Primary Outcomes (1)

  • Emergency Deparrtment (ED) visit by a patient

    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

    1 Day

Secondary Outcomes (3)

  • Surveillance of Disease Prevalence

    1 Day

  • Extension to Other Disease Conditions and Geographies

    1 Day

  • Hospital Selection

    1 Day

Study Arms (1)

Patients visiting an emergency department in New York State

Other: Statewide Planning and Research Cooperative System Database

Interventions

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.

Also known as: SPARCS
Patients visiting an emergency department in New York State

Eligibility Criteria

AgeUp to 120 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Includes all patients visiting an emergency department in New York State

You may qualify if:

  • Patients visiting an emergency department in New York State

You may not qualify if:

  • 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).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

New York University School of Medicine

New York, New York, 10016, United States

Location

MeSH Terms

Conditions

EmergenciesDiabetes Mellitus

Condition Hierarchy (Ancestors)

Disease AttributesPathologic ProcessesPathological Conditions, Signs and SymptomsGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Study Officials

  • David Lee, MD

    NYU Langone Health

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
ECOLOGIC OR COMMUNITY
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 16, 2017

First Posted

August 18, 2017

Study Start

August 20, 2014

Primary Completion

December 31, 2020

Study Completion

December 31, 2020

Last Updated

February 8, 2021

Record last verified: 2021-02

Locations