Clinical Trials Logo

Clinical Trial Summary

The purpose of the study is to implement and evaluate a novel triage algorithm for risk stratification of acutely admitted patients in the Emergency Department.


Clinical Trial Description

Triage algorithms are used worldwide to risk assess and prioritize patients in the Emergency Departments. The aim is to identify patient at risk of deterioration or death and/or with a imminent need of treatment. The triage algorithms are also developed to identify patients at low risk, who safely can be assigned to the waiting room. Currently, several different triage algorithms are used, and they are mostly based on consensus and exper- opinion. Therefore evidence concerning triage is limited. The investigators has developed a novel evidence-based triage algorithm with integrated individual clinical assesment. The vitals measured at admission assigns the patient to a triage category, and based upon the clinical appearance of the patients, the triage nurse can adjust the assigned triage category to better reflect the patient. The triage algorithm used in Denmark is "DEPT", this algorithm is based purely on vitals and cause of admission and can not be adjusted. I-DEPT is designed as a cluster randomized stepped-wedge non-inferiority study. The Aim is to implement and compare I-DEPT to the existing triage algorithm. All Emergency Departments in the Capitol Region and the Region og Zealand in Denmark will implement I-DEPT one department at a time (8 centers). The first will start the implementation on october 1, 2020 and after two months the next center will implement I-DEPT. Every two months a new center will start. During 16 months all centers will have implemented I-DEPT the sequence of centers was determined by randomization. The first 30 days of implementation will be censored and not included in the final analyses. The study will conclude with a period of 30 days follow-up. Patients will only be included once. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04571021
Study type Interventional
Source Herlev Hospital
Contact
Status Completed
Phase N/A
Start date October 1, 2020
Completion date May 1, 2022

See also
  Status Clinical Trial Phase
Completed NCT05552989 - Towards Better Preparedness for Future Catastrophes - Local Lessons-learned From COVID-19
Not yet recruiting NCT04915690 - Investigation on the Practice Status of Emergency Stuff
Not yet recruiting NCT03424096 - Primary Palliative Care Education, Training, and Technical Support for Emergency Medicine N/A
Completed NCT02534324 - The Effect of Pre-discharge Blood Pressure of Patients With Asymptomatic Severe Hypertension in Emergency Department N/A
Completed NCT00991471 - The Effect of an Physician-Nurse Supplementary Triage Assistance Team on Emergency Department Patient Wait Times N/A
Recruiting NCT03257319 - Inhaled vs IV Opioid Dosing for the Initial Treatment of Severe Acute Pain in the Emergency Department Phase 3
Recruiting NCT05005117 - Laparoscopic Approach for Emergency Colon Resection N/A
Recruiting NCT03917368 - Ultrasound Evaluation of the Jugular Venous Pulse (US-JVP) N/A
Completed NCT04601922 - Qualitative Study of Long Term Cardiovascular Risk Prediction in the Emergency Department
Recruiting NCT05497830 - Machine Learning for Risk Stratification in the Emergency Department (MARS-ED) N/A
Active, not recruiting NCT06220916 - The Greek Acute Dance Injuries Registry
Recruiting NCT05496114 - Medical Checklists in the Emergency Department N/A
Recruiting NCT05543772 - Evaluation of Blood Sampling From a Pre-existed Peripheral Intravenous Catheter Line Phase 4
Recruiting NCT06072534 - Evaluation of Effectiveness of Two Different Doses of Mivacurium in Rapid Sequence Intubation N/A
Not yet recruiting NCT05528211 - Safety and Efficacy of Emergent TAVI in Patients With Severe AS
Completed NCT05818215 - Impact of the Qatar 2022 FIFA World Cup on PED Use and Misuse Patterns
Recruiting NCT04615065 - Acutelines: a Large Data-/Biobank of Acute and Emergency Medicine
Active, not recruiting NCT04648449 - Artificial Intelligence (AI) Support in Medical Emergency Calls
Active, not recruiting NCT05221697 - Effect of an ML Electronic Alert Management System to Reduce the Use of ED Visits and Hospitalizations N/A
Not yet recruiting NCT04431986 - ER2 Frailty Levels and Incident Adverse Health Events in Older Community Dwellers