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


KOCA A., POLAT O., OĞUZ A. B., GENÇ S., Gunalp M., Degirmenci S., ...More

DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2022
  • Doi Number: 10.1017/dmp.2022.101
  • Journal Name: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, PASCAL, CINAHL, EMBASE, MEDLINE
  • Keywords: clinical decision-making, emergency medicine, software, triage, EMERGENCY SEVERITY INDEX, SYSTEM, SCALE, ALGORITHM
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

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.