EmergenciesNCT03254524
Geography of ED Use and Population Health
An observational study of Emergencies and Diabetes Mellitus, run by NYU Langone Health at 1 site in United States.
Trial 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. Read more about this study
- Who is it for?
- Ages Up to 120 yearsHealthy volunteers can take part
- Conditions the study is for
- Emergencies, Diabetes Mellitus
- What is being tested?
- Statewide Planning and Research Cooperative System Database
- How many people
- 100 participants
- Where
- 1 siteUnited States
- Study dates
- 20 Aug 2014to 31 Dec 2020
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Up to 120 years
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Study population: Includes all patients visiting an emergency department in New York State
Who may be able to join
- Patients visiting an emergency department in New York State
Who cannot join
- 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).
Trial locations and contacts
1 site in 1 country.
United States1 site
New York University School of Medicine
New York, New York, 10016
About this study
Official title: 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.
Read the detailed description
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.
- Conditions
- Emergencies, Diabetes Mellitus
- Being tested
- Statewide Planning and Research Cooperative System Database
- Keywords
- Epidemiology Research
- Medical subject headings
- Emergencies, Diabetes Mellitus
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Statewide Planning and Research Cooperative System DatabaseOther
Also called SPARCS
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.
| Study group | Role | What they receive |
|---|---|---|
| Patients visiting an emergency department in New York State | Not described Receives: Other: Statewide Planning and Research Cooperative System Database |
What is being measured
The primary outcome is the main question the study is designed to answer.
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
Measured: 1 Day
Secondary outcomes (3)
Surveillance of Disease Prevalence
Proportion of individuals who recieve a given diagnosis like diabetes during any emergency department visit including emergency inpatient admissions.
Measured: 1 Day
Extension to Other Disease Conditions and Geographies
Analysis of how disease prevalence can be measured at the level of the entire state. Populations will be stratified based on geography.
Measured: 1 Day
Hospital Selection
Identification of the selection of a given hospital by patients based on facility codes contained within the SPARCS database.
Measured: 1 Day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Aug 2017
- Study start20 Aug 2014
- Primary completion31 Dec 2020
- Study completion31 Dec 2020
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for EmergenciesStudies of the same condition, open and under way.
- More trials run by NYU Langone HealthThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Ecologic or community
- Time perspective
- Retrospective
- Enrolment
- 100 participants (actual)
Sponsor and investigators
- Lead sponsor
- NYU Langone Health
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- David Lee, MD, Principal investigator, NYU Langone Health
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03254524
- Sponsor's protocol ID
- 14-01408
- Status last verified
- Feb 2021
- First submitted
- 16 Aug 2017
- Last updated
- 8 Feb 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 8 Feb 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Statewide Analysis of Emergency Department Use for Determining Geographic Patterns of Emergency Care Use, Hospital Choice and Measures of Population Health.
- ClinicalTrials.gov ID
- NCT03254524
- Acronym / sponsor ID
- 14-01408
- Conditions
- Emergencies, Diabetes Mellitus
- Keywords
- Epidemiology Research
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 100 participants (actual)
- Lead sponsor
- NYU Langone HealthUniversity, hospital or other
- Study start
- 20 Aug 2014 (actual)
- Primary completion
- 31 Dec 2020 (actual)
- Study completion
- 31 Dec 2020 (actual)
- First posted
- 18 Aug 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
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.
Study design
- Observational model
- Ecologic or community
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Patients visiting an emergency department in New York State | – | Other: Statewide Planning and Research Cooperative System Database |
Who may qualify
- Ages
- Up to 120 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
- Study population
- Includes all patients visiting an emergency department in New York State
Key inclusion criteria (1 listed)
- Patients visiting an emergency department in New York State
Key exclusion criteria (1 listed)
- 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).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Statewide Planning and Research Cooperative System DatabaseAlso: SPARCSThe 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 | Patients visiting an emergency department in New York State |
Primary outcome
Emergency Deparrtment (ED) visit by a patient
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
3 secondary outcomes
Surveillance of Disease Prevalence
Time frame: 1 Day
Extension to Other Disease Conditions and Geographies
Time frame: 1 Day
Hospital Selection
Time frame: 1 Day
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 8 Feb 2021.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
David Lee, MD principal investigator
NYU Langone Health
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Emergencies and Diabetes Mellitus, run by NYU Langone Health at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 8 Feb 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Emergency Deparrtment (ED) visit by a patient (time frame: 1 Day). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 8 Feb 2021.