Impact of COVID -19 on Depression and Anxiety among Healthcare Professionals in Abu Dhabi

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Abstract

COVID-19 have affected Healthcare workers is many ways. One of the important areas is the psychological impact. The aim of this study is to examine the effects of the COVID-19 outbreak on the mental health of healthcare Professionals (HCP). A cross-sectional study was conducted between April 11 th , and July 23 rd , 2020, to assess depression and anxiety of healthcare workers, during the COVID-19 pandemic. An online, self-administered, anonymous questionnaire evaluated 1,268 HCP. More than half of the participants reported symptoms of anxiety (51.5%). Mild anxiety was reported in 28.8% of participating HCP, and 12.68 % of the participants registered moderate anxiety scores, while 9.95 % reported severe anxiety. Depression symptoms were revealed in 38.3 % of participating providers. Among all participates, 4.3 % and 2.7 % reported moderately severe and severe depression, accordingly, while 22.5%, and 8.8 % of the participating health care providers documented mild and moderate depression. The high prevalence of anxiety and depression recorded among HCP during the pandemic suggests that mental health intervention and support are necessary to ensure the psychological well-being of HCP.

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  1. SciScore for 10.1101/2021.04.11.21253563: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Online consent for participation was established prior to enrolment.
    IACUC: The study was approved by the Ambulatory Health care services human ethics committee and the Abu Dhabi health care service central human Ethics Committee.
    IRB: The study was approved by the Ambulatory Health care services human ethics committee and the Abu Dhabi health care service central human Ethics Committee.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis: Data were analyzed using SPSS version 21 Software program, Descriptive statistics such as mean, standard deviation (SD) were computed for quantitative variables and frequencies, and percentages were calculated for categorical variables.
    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: No clinical trial numbers were referenced.


    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.