Optimization of Treatment Priority of the Manchester Triage System

NCT05473988 | Completed DMC

• 1 other identifier: OPTIMTS
• Study Type: observational
• Target: 77,976
• Locations: 1 country
• Sites: 1

Brief Summary

In the emergency department, the urgency for treating patients is determined according to the Manchester Triage System. The parameters collected in this process are deterministically translated into a treatment priority. The Manchester Triage System (MTS), which has been in use for at least 20 years, is a widely used, validated and standardized procedure for initial assessment in the emergency department - this initial assessment (triage) is done to prioritize medical assistance at a central point. Especially in emergency situations, critically endangered patients often require the deployment of a large part of the available staff at the same time - the medically correct triage of patients according to objective criteria in order to enable an adequate allocation of the available resources at the right time is the main objective. In the optimal case, each patient is treated by medical professionals within the time frame that is adequate for his/her health condition. Using artificial intelligence methods, it may be possible to increase the accuracy of treatment priority assignment. In the best case, incorrect prioritization of patients can be prevented and medical care can be ensured for those patients who actually need it most urgently. However, initial assessment, even if standardized and validated, still runs under limited resource conditions - time, space, material and personnel. Last but not least, the very idea of conducting an initial assessment limits its validity, and the results of the allocation fluctuate according to current research, although the determinants of this are currently unknown.

Conditions

Triage

Outcome Measures

Primary Outcomes (3)

• AUROC for Classification of Admission to General Ward

  AUROC for Classification of Admission to General Ward

  2015-12-01 to 2020-08-31

• AUROC for Classification of Admission to Intensive Care Unit

  AUROC for Classification of Admission to Intensive Care Unit

  2015-12-01 to 2020-08-31

• AUROC for Classification of 30 Day Mortality

  AUROC for Classification of 30 Day Mortality

  2015-12-01 to 2020-08-31

Secondary Outcomes (1)

• Confusion Matrix

  2015-12-01 to 2020-08-31

Study Arms (6)

Admission to General Ward Positive

Admission to General Ward Positive

Other: Admission to General Ward

30 Day Mortality Positive

30 Day Mortality Positive

Other: 30 Day Mortality

Admission to Intensive Care Unit Positive

Admission to Intensive Care Unit Positive

Other: Admission to Intensive Care Unit

Admission to General Ward Negative

Admission to General Ward Negative

30 Day Mortality Negative

30 Day Mortality Negative

Admission to Intensive Care Unit Negative

Admission to Intensive Care Unit Negative

Interventions

Admission to General Ward OTHER

Admission to General Ward

Admission to General Ward Positive

Admission to Intensive Care Unit OTHER

Admission to Intensive Care Unit

Admission to Intensive Care Unit Positive

30 Day Mortality OTHER

30 Day Mortality

30 Day Mortality Positive

Eligibility Criteria

• Age: 18 Years - 120 Years
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

As described in the inclusion criteria.

You may qualify if:

• All adult patients that were triaged at the emergency department at the Kepler University Hospital in the period between 2015-12-01 to 2020-08-31.

You may not qualify if:

• None.

Sponsors & Collaborators

• Kepler University Hospital: lead

Study Sites (1)

Kepler University Hospital

Linz, Upper Austria, 4021, Austria

Location

MeSH Terms

Interventions

Mortality

Intervention Hierarchy (Ancestors)

Vital Statistics; Data Collection; Epidemiologic Methods; Investigative Techniques; Demography; Population Characteristics; Epidemiologic Measurements; Public Health; Environment and Public Health

Study Officials

• Thomas Tschoellitsch, MD

  Kepler University Hospital and Johannes Kepler University, Linz, Austria

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: July 12, 2022
• First Posted: July 26, 2022
• Study Start: June 1, 2022
• Primary Completion: July 31, 2022
• Study Completion: July 31, 2022
• Last Updated: May 3, 2023

Record last verified: 2023-04

Data Sharing

• IPD Sharing: Will not share

Locations

AU (1)