Decision Support System on Emergency Triage

NCT05388292 | Completed

• 1 other identifier: 2012-KAEK-20-2019
• Study Type: interventional
• Target: 5,038
• Locations: 1 country
• Sites: 1

Brief Summary

The objective of this study is to design a computer-based Decision Support System (DSS) using the ESI (Emergency Severity Index) and ATS (Australasian Triage Scale) algorithms, integrate it into the Hospital Information Management System (HIMS), evaluate the effect of the triage management in the emergency department and ensure the continuity of the system.

Conditions

Triage; Emergencies; Decision Support Systems

Outcome Measures

Primary Outcomes (1)

• Emergency Triage Decision Support System triage management was evaluated against the accuracy and duration of triage decisions

  The effect of the decision support system on the triage decision accuracy

  8 weeks (triage decision' accuracy in eight-week hospital information management system data)

Secondary Outcomes (1)

• Emergency Triage Decision Support System

  8 weeks (triage decision' duration in eight-week hospital information management system data)

Study Arms (1)

Development of triage decision support system

OTHER

This is a quasi-experimental study with a single-group pre-test and post-test design. The study consisted of three stages. In the first stage, a structured Query Language Script was developed to evaluate the accuracy and duration of pre-and post-DSS triage decisions. In the second stage (pre-test), the accuracy and duration of pre-DSS triage decisions were evaluated. In the second stage, a DSS was prepared with rule-based decision trees method using the ESI and ATS algorithms and was integrated into the HIMS. In the third and last stage (post-test), the effect of the developed Emergency Triage Decision Support System on triage management was evaluated against the accuracy and duration of triage decisions.

Other: Emergency triage decision support system

Interventions

Emergency triage decision support system OTHER

Evaluating the impact of the developed Emergency Triage Decision Support System on triage management

Development of triage decision support system

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Data of adult patients who applied to the adult emergency department and whose triage record was opened by a triage nurse.
• Patient data with no probable or definitive diagnosis of COVID-19.

You may not qualify if:

• Data of pediatric trauma patients (under 18 years of age) Patient data for which the triage record was opened by non-nursing healthcare professionals Patient data recorded in triage by nurses who did not receive ATKDS, Emergency nurse triage, ESI, ATS training Data of patients who applied with a probable/definite diagnosis of COVID-19 and underwent PCR testing Patient data in the date range when extraordinary changes were made in the adult emergency department patient triage area and evaluation process due to the COVID 19 pandemic and the developed system could not be used (must use the SB COVID Algorithm)

Sponsors & Collaborators

• Akdeniz University: lead

Study Sites (1)

Akdeniz University

Antalya, Turkey (Türkiye)

Location

MeSH Terms

Conditions

Emergencies

Condition Hierarchy (Ancestors)

Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Fatma Cebeci

  1962

  STUDY CHAIR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Masking Details: This is a quasi-experimental study with a single-group pre-test and post-test design.
• Purpose: PREVENTION
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: April 28, 2022
• First Posted: May 24, 2022
• Study Start: July 16, 2020
• Primary Completion: September 16, 2020
• Study Completion: September 16, 2020
• Last Updated: February 2, 2024

Record last verified: 2024-02

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)