Reliability and Validity of a New Computer-Based Triage Decision Support Tool : ANKUTRIAGE

OBJECTIVE: Triage is a tool used to determine patients' severity of illness or injury within minutes of arrival. This study aims to assess the reliability and validity of a new computer-based triage decision support tool, ANKUTRIAGE, prospectively.

METHODS: ANKUTRIAGE, a 5-level triage tool was established considering 2 major factors, patient's vital signs and characteristics of the admission complaint. Adult patients admitted to the ED between July and October, 2019 were consecutively and independently double triaged by 2 assessors using ANKUTRIAGE system. To measure inter-rater reliability, quadratic-weighted kappa coefficients (Kw) were calculated. For the validity, associations among urgency levels, resource use, and clinical outcomes were evaluated.

RESULTS: The inter-rater reliability between users of ANKUTRIAGE was excellent with an agreement coefficient (Kw) greater than 0.8 in all compared groups. In the validity phase, hospitalization rate, intensive care unit admission and mortality rate decreased from level 1 to 5. Likewise, according to the urgency levels, resource use decreased significantly as the triage level decreased (P < 0.05).

CONCLUSIONS: ANKUTRIAGE proved to be a valid and reliable tool in the emergency department. The results showed that displaying the key discriminator for each complaint to assist decision leads to a high inter-rater agreement with good correlation between urgency levels and clinical outcomes, as well as between urgency levels and resource consumptions.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:17

Enthalten in:

Disaster medicine and public health preparedness - 17(2022) vom: 29. Juni, Seite e162

Sprache:

Englisch

Beteiligte Personen:

Koca, Ayça [VerfasserIn]
Polat, Onur [VerfasserIn]
Oğuz, Ahmet Burak [VerfasserIn]
Genç, Sinan [VerfasserIn]
Günalp, Müge [VerfasserIn]
Değirmenci, Soner [VerfasserIn]
Tekin, Deniz [VerfasserIn]
Çullas Ilarslan, Nisa Eda [VerfasserIn]
Göktüğ, Aytaç [VerfasserIn]
Karakiliç, Muhammed Evvah [VerfasserIn]
Tanriöver, Ömer Özgür [VerfasserIn]
Demir, Salih [VerfasserIn]
Sevindik, Mesut [VerfasserIn]

Links:

Volltext

Themen:

Clinical decision-making
Emergency medicine
Journal Article
Research Support, Non-U.S. Gov't
Software
Triage

Anmerkungen:

Date Completed 03.02.2023

Date Revised 06.02.2023

published: Electronic

Citation Status MEDLINE

doi:

10.1017/dmp.2022.101

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM342860593