Evaluation of a Software for the Secondary Prioritization of Patients in the Pediatric Emergency Department (OPTIMUM)

August 8, 2023 updated by: University Hospital, Lille

Evaluation of a Patient Prioritization Software for the Secondary Prioritization of Patients in the Pediatric Emergency Department

The goal of this randomized, controlled, open-label trial is to test the use of secondary prioritization software (Optimum®) in the pediatric emergency department (PED).

The aim of this study is to determine:

  1. whether the use of this secondary prioritization software (Optimum®) reduces the patients' median length of stay (LOS) in the PED
  2. how this software is accepted by the staff. The PED staff will be asked to manage the patients according to the Optimum® software indications (intervention) or according to the standard dashboard (control).

Study Overview

Detailed Description

Design: randomized, controlled open-label trial in the PED at Lille University Medical Center, Lille, France.

Period: between March 15th and April 23rd, 2021.

Randomization: each day was randomized for the use of Optimum® software (intervention group) or the PED's standard patient management dashboard (control group).

Inclusion criteria:

- All children admitted between 10:00 am and 0:00 am at the PED.

Exclusion criteria:

  • Patients who left without being seen
  • Patients admitted to a short-stay unit at the PED.

Authorizations: the study protocol was registered with the French National Data Protection Commission (Commission Nationale de l'Informatique et des Libertés, Paris, France; registration number: DEC21-056). This research was submitted to the institutional review board, which replied that this type of study, without patient intervention, did not require validation by the ethics committee. The patients and their parents were shown a study information sheet at the PED reception desk and were free to object to their child's participation.

The prioritization software: Optimum® was developed in 2015. Five variables with a statistically significant influence on the LOS were identified; the reason for admission, the number of patients present in the PED simultaneously, the prescription of imaging, the prescription of blood tests, and the prescription of treatment. Optimum®'s purpose is to remove the mental load of prioritization from the PED staff. The software first prioritizes the triage of new patients by the PED staff and the first evaluation of a new patient by the medical team. Optimum® then prioritizes blood sample collections and care (for nurses) and checks on imaging results, blood test results or an evaluation by a specialist (for physicians). Lastly, Optimum® prioritizes the final step in patient management by a senior physician, when appropriate.

Primary endpoint: the LOS for each patient. Number of patients needed: with a hypothesis of a 15-minute difference in the LOS between the Optimum® and control groups, when considering a mean of 78 patients/day and a median LOS of 190 minutes, with an α-risk of 0.05 and a power (1-ß risk) of 0.8, a total of 1542 patients had to be included (i.e., 771 per group).

Secondary endpoints:

  • number of patients present at the same time in the PED,
  • time intervals between each stage in patient management from nurse triage to discharge,
  • PED staff's level of satisfaction using the standardized System Usability Scale (SUS).

Study procedures :

  1. training of all the PED staff members in use of Optimum® 2 weeks prior to the study.
  2. study setting up: with days randomized to Optimum® vs. the standard dashboard using the "random" formula in Excel® (Microsoft Corporation, Redmond, WA, USA). Weekdays and weekend/public holiday days were randomized separately. An investigator not involved in the management of the patients during the study period was present throughout the inclusion period and prospectively recorded the time intervals for each patient's stay in the PED: time of arrival at the PED, evaluation by the triage nurse, the first medical evaluation (by a medical student or a junior physician), the first evaluation by a senior physician, the evaluation by a specialist physician (if applicable), the results of imaging and lab tests (if prescribed), the final medical decision, and discharge.

Data collected: in addition to the LOS and to the time intervals of the different phases of management, the other variables recorded were age, gender, reason for admission, triage level, and mode of discharge. There were five categories of reasons for admission: fever, a respiratory disorder, a digestive tract disorder, trauma, and other reasons.

3) the PED staff involved in the study will fill out the standardized SUS questionnaire as a guide to the perceived utility of the Optimum® software and the level of user satisfaction. According to the literature, the SUS score is considered to be very poor if it is less than 51, poor if between 51 and 68, average if 68, good if between 68 and 80.3, and excellent if greater than 80.3.

Statistical analysis:

  1. description of patients' characteristics
  2. the normality of the data distributions was checked graphically and using the Shapiro-Wilk test.
  3. Intergroup comparisons of the total LOS and the various time intervals during patient management times were performed by covariance analysis.
  4. Analysis of the standardized System Usability Scale (SUS) questionnaire filled out by the PED staff at th end of the study to perceive the utility of the Optimum® software and the level of user satisfaction. A Spearman's test was used to analyze the correlation between the age of the PED staff and the SUS score.

Study Type

Interventional

Enrollment (Actual)

1599

Phase

  • Not Applicable

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

      • Lille, France
        • Hôpital Roger Salengro, CHU

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

  • Child

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • All children admitted between 10:00 am and 0:00 am

Exclusion Criteria:

  • Patients who left without being seen
  • Patients subsequently admitted to the short-stay unit

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

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Optimum
the secondary prioritization software of patients
Optimum®'s purpose is to remove the mental load of prioritization from the Pediatric ED staff. The software first prioritizes the triage of new patients by the ED staff and the first evaluation of a new patient by the medical team. Optimum® then prioritizes blood sample collections and care (for nurses) and checks on imaging results, blood test results or an evaluation by a specialist (for physicians). Lastly, Optimum® prioritizes the final step in patient management by a senior physician, when appropriate.
No Intervention: Control
the standard dashboard of patients

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Length of stay
Time Frame: from admission to discharge, assessed up to 1 day.
the length of stay for each patient
from admission to discharge, assessed up to 1 day.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of patients present
Time Frame: 1 day
Number of patients present at the same time in the pediatric emergency department during the study period
1 day
Time intervals between each stage
Time Frame: 1 day
The time intervals between each stage in patient management from nurse triage to discharge
1 day
Pediatric emergency department staff satisfaction
Time Frame: through study completion, an average of 3 months
To measure the pediatric emergency department staff's level of satisfaction with the System Usability Scale. Values range from 0 to 100 points. Higher scores mean a better satisfaction.
through study completion, an average of 3 months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: François Dubos, MD, PhD, Lille University Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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)

March 15, 2021

Primary Completion (Actual)

April 23, 2021

Study Completion (Actual)

April 23, 2021

Study Registration Dates

First Submitted

July 31, 2023

First Submitted That Met QC Criteria

August 8, 2023

First Posted (Actual)

August 16, 2023

Study Record Updates

Last Update Posted (Actual)

August 16, 2023

Last Update Submitted That Met QC Criteria

August 8, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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