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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT05388292
Other study ID # 2012-KAEK-20-2019
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date July 16, 2020
Est. completion date September 16, 2020

Study information

Verified date February 2024
Source Akdeniz University
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial 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.


Description:

Background: Triage in the emergency department overstrains employees due to patient density, diversity, and time pressure. Aim: 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. Study design: This is a quasi-experimental study with a single-group pre-test and post-test design. The study consisted of three stages. Methods: In the first stage, a SQL (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 (ETDSS) on triage management was evaluated against the accuracy and duration of triage decisions.


Recruitment information / eligibility

Status Completed
Enrollment 5038
Est. completion date September 16, 2020
Est. primary completion date September 16, 2020
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: 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. Exclusion Criteria: 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)

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Emergency triage decision support system
Evaluating the impact of the developed Emergency Triage Decision Support System on triage management

Locations

Country Name City State
Turkey Akdeniz University Antalya

Sponsors (1)

Lead Sponsor Collaborator
Akdeniz University

Country where clinical trial is conducted

Turkey, 

Outcome

Type Measure Description Time frame Safety issue
Primary 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 Emergency Triage Decision Support System The effect of decision support system on triage decision duration 8 weeks (triage decision' duration in eight-week hospital information management system data)
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