INNOVATION OF AUDIO-VISUAL TRIAGE SYSTEM TO COMBAT THE SPREAD OF COVID-19 INFECTION AND ITS EFFICACY: A NOVEL STRATEGY

This article has been Reviewed by the following groups

Read the full article

Abstract

During the novel coronavirus pandemic, also known as SARS-CoV-2 or COVID-19 pandemic, frontline healthcare professionals suffered psychological as well as pathological trauma due to the lack of preparation to cope with this unforeseen situation. The protocols to prevent the spread of this disease proved to be less effective than anticipated. In these circumstances, improvement of the existing triage system was felt and an AUDIO-VISUAL TRIAGE (AVT) system was introduced to enhance confidence as well as increase the safety of frontline healthcare professionals. The current analysis was performed from March 21, 2020, to April 28, 2020, until the completion of sixty response forms, at Bahria Town International Hospital, Lahore. Thirty participants (Group A) deployed on visual triage and other thirty (Group B) on AVT for screening suspected cases of COVID-19 infection. Anxiety levels were measured by using the GAD-7 scoring system and the participants of both groups were periodically tested for COVID-19 infection by PCR. Independent t-test was used to evaluate the significance of different variables at a confidence level of 95%. The result of the current study revealed the effectiveness of AVT for the screening of COVID-19 patients. There was a statistically significant increase in anxiety levels and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rate in group A as compared to group B. Almost all participants in group A wanted to shift their place of work or ready to quit the job if they were forced to perform their duties at the same visual triage. AVT system for COVID-19 screening found to be more safe and less stressful than visual triage. It is not only a simple and effective way to prevent the spread of diseases but also boosted the confidence of frontline healthcare professionals to fight against coronavirus spread.

Article activity feed

  1. SciScore for 10.1101/2020.11.06.20223040: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementIACUC: The study was approved by the ethical review committee of Bahria Town International Hospital Lahore (31.5204° N; 74.3587° E), Pakistan.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The data were statistically analyzed with the help of independent t-test using SPSS Software (version 22).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04621214CompletedInnovation of Audio-Visual Triage System in Combating the Sp…


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.