Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Copenhagen Triage Algorithm | Behavioral | The Copenhagen Triage Algorithm is a new triage method for faster triage in the ED |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Number of patients with an admission to the intensive care unit | 30 days | |
| Length of stay during admission | 30 days | |
| Waiting time for treatment |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Kasper Iversen, MD, DMSci | kasper.karmark.iversen@regionh.dk | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Herlev Hospital | Herlev | Capital Region | 2730 | Denmark | ||
| Bispebjerg Hospital |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37897388 | Derived | 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. | |
| 30716123 | Derived | 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. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Waiting time from first presenting at ED to first treatment startet |
| 8 hours |
| Number of readmissions | Patients will be followed using central registers. All new admissions within 91 days of the same patient is defined as readmissions. | 30 and 90 days |
| All cause mortality | 48 hours |
| All cause mortality | 90 days |
| København NV |
| Capital Region |
| 2400 |
| Denmark |
| 27724978 | Derived | 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. |