NCT02698319

Brief Summary

Crowding in the emergency department (ED) is a well documented problem putting patients at risk of adverse outcomes. To combat this, most ED's use some form of triage. In the last two decades systematic triage or process triage has become the norm in most countries but this approach is supported by limited evidence. Our aim is to develop a faster triage model of only a few vital parameters, based on a data from a large cohort of unselected ED patients and evaluate if such a model combined with a clinical assessment by the ED nurse is inferior to existing triage models in a prospective cluster-randomized trial

Trial Health

87
On Track

Trial Health Score

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

Enrollment
50,000

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Apr 2015

Geographic Reach
1 country

2 active sites

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

April 1, 2015

Completed
11 months until next milestone

First Submitted

Initial submission to the registry

February 24, 2016

Completed
8 days until next milestone

First Posted

Study publicly available on registry

March 3, 2016

Completed
29 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2016

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2016

Completed
Last Updated

August 16, 2016

Status Verified

August 1, 2016

Enrollment Period

1 year

First QC Date

February 24, 2016

Last Update Submit

August 15, 2016

Conditions

Triage

Keywords

TriageSystematic Triage

Outcome Measures

Primary Outcomes (1)

  • All cause mortality

    Time frame starts at the beginning of the index admission, defined as first admission in the study period. Patients will be followed using central registers.

    30 days

Secondary Outcomes (6)

  • Number of patients with an admission to the intensive care unit

    30 days

  • Length of stay during admission

    30 days

  • Waiting time for treatment

    8 hours

  • Number of readmissions

    30 and 90 days

  • All cause mortality

    48 hours

  • +1 more secondary outcomes

Study Arms (2)

Conventional Triage

NO INTERVENTION

Conventional triage using Danish Emergency Process Triage (DEPT).

Copenhagen Triage Algorithm

EXPERIMENTAL

The Copenhagen Triage Algorithm is used as triage form in the ED. The Copenhagen Triage Algorithm consists of a few vital parameters and a clinical assessment from the ED nurse.

Behavioral: Copenhagen Triage Algorithm

Interventions

Copenhagen Triage AlgorithmBEHAVIORAL

The Copenhagen Triage Algorithm is a new triage method for faster triage in the ED

Copenhagen Triage Algorithm

Eligibility Criteria

Age16 Years+
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • Patients presenting acutely to the Acute ward/Emergency department in two hospitals in the Capital of Denmark

You may not qualify if:

  • Patients presenting in Pediatric, Gynecological or Obstetric units

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Herlev Hospital

Herlev, Capital Region, 2730, Denmark

Location

Bispebjerg Hospital

København NV, Capital Region, 2400, Denmark

Location

Related Publications (3)

  • Andrea MK, Pries-Heje M, Hasselbalch RB, Schultz M, Ravn L, Lind M, Christensen AH, Dalsgaard M, Iversen K. Causes of death among non-urgent patients in the emergency department who die within 30 days. Dan Med J. 2023 Sep 25;70(10):A01230037.

    PMID: 37897388DERIVED

  • Hasselbalch RB, Pries-Heje M, Schultz M, Plesner LL, Ravn L, Lind M, Greibe R, Jensen BN, Hoi-Hansen T, Carlson N, Torp-Pedersen C, Rasmussen LS, Iversen K. The Copenhagen Triage Algorithm is non-inferior to a traditional triage algorithm: A cluster-randomized study. PLoS One. 2019 Feb 4;14(2):e0211769. doi: 10.1371/journal.pone.0211769. eCollection 2019.

    PMID: 30716123DERIVED

  • Hasselbalch RB, Plesner LL, Pries-Heje M, Ravn L, Lind M, Greibe R, Jensen BN, Rasmussen LS, Iversen K. The Copenhagen Triage Algorithm: a randomized controlled trial. Scand J Trauma Resusc Emerg Med. 2016 Oct 10;24(1):123. doi: 10.1186/s13049-016-0312-6.

    PMID: 27724978DERIVED

Study Officials

  • Kasper Iversen, MD, DMSci

    kasper.karmark.iversen@regionh.dk

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
PREVENTION
Intervention Model
CROSSOVER
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Medical student

Study Record Dates

First Submitted

February 24, 2016

First Posted

March 3, 2016

Study Start

April 1, 2015

Primary Completion

April 1, 2016

Study Completion

June 1, 2016

Last Updated

August 16, 2016

Record last verified: 2016-08

Locations

DK(2)