The Prediction Model of Elderly Patients in Taiwan Triage and Acuity Scale

April 27, 2021 updated by: Chang Gung Memorial Hospital

The Analysis of Prediction Model of Elderly Patients Visiting Emergency Department in Taiwan Triage and Acuity Scale

In the year of 2010, the Taiwan Ministry of Health and Welfare had implemented the 5-level Taiwan Triage and Acuity Scale(TTAS) in Taiwan emergency department. TTAS is a triage system that was modified from CTAS. It has a comprehensive chief complaint system and accomplished with an electronic decision support system (eTTAS) to help triage nurse to assign acuity level on emergency patients in emergency departments of Taiwan. TTAS has adult and children modifiers, but no modifier for the elderly. In emergency departments, the geriatric population have been increasing in many countries for the last few years. They often present with atypical symptoms or signs, and multiple comorbidities that complicate diagnosis and treatment and are at risk of under-triage. Although the TTAS has overall validity and reliability, its performance in geriatric patients has not been well studied.

In order to reduce the chance to under-triage the geriatric patients in emergency departments and to improve the discriminatory and predictive power for triaged patients who require admission, the objective of the study is to examine the difference of urgency, admission rate and medical resource consumption of geriatric patients with different age group compared to non-geriatric patients, to develop predictive model for hospitalization and medical resource consumption among geriatric patients and to develop special geriatric modifiers.

Study Overview

Status

Unknown

Detailed Description

Age and frailty have been demonstrated to be associated with clinical outcomes in the elderly presented to emergent departments (EDs). This study aimed to assess the association of age and frailty on admission rate and to find out whether the current Taiwan Triage and Acuity Scale (TTAS) under-triage elderly presented to EDs.

This was a retrospective cohort study that reviewed medical records of adult patients from a single ED from 2016 to 2017. Data collected included patients' demographics, TTAS level, chief complaints, frailty status, and intensive care unit (ICU) admission rate. Adults patients included in the study were divided into three age groups of 18-<65, 65-85, and >85 years.

Study Type

Observational

Enrollment (Anticipated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Taoyuan, Taiwan, 333
        • Chang Gung Memorial Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

65 years and older (Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients over 65 years old who go to the emergency department.

Description

Inclusion Criteria:

  • Patients over 65 years old who go to the emergency department.
  • Those who are willing to participate in the trial and sign a consent form and are willing to be tracked.

Exclusion Criteria:

  • Patients under 65 years old who go to the emergency department.
  • Patients over 65 years old who go to the emergency department, unwilling to participate in the trial and sign the consent.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
admission rate
Time Frame: 1 day (since patient come into ER until he leave from ER.)
1 day (since patient come into ER until he leave from ER.)
frailty scale
Time Frame: 1 day (since patient come into ER until he leave from ER.)
1 day (since patient come into ER until he leave from ER.)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Chip Jin Ng, Dr., Chang Gung Memorial Hospital
  • Study Director: Tsung Hsien Chao, Dr., Chang Gung Memorial Hospital
  • Study Chair: Cheng Yu Chien, Dr., Chang Gung Memorial Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 31, 2020

Primary Completion (Anticipated)

July 31, 2021

Study Completion (Anticipated)

July 31, 2021

Study Registration Dates

First Submitted

April 26, 2021

First Submitted That Met QC Criteria

April 27, 2021

First Posted (Actual)

April 28, 2021

Study Record Updates

Last Update Posted (Actual)

April 28, 2021

Last Update Submitted That Met QC Criteria

April 27, 2021

Last Verified

January 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • 202000012B0C502

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

The data that support the findings of this study are available from the first author on reasonable request.including

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ANALYTIC_CODE
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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