Impact of COVID-19 on healthcare workers at a cancer care centre

  1. Atika Dogra
  2. Anuj Parkash
  3. Anurag Mehta
  4. Meenu Bhatia

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Abstract

Background

The services of front-line health care workers (HCWs) have been paramount in the management of novel coronavirus disease 2019 (COVID-19). Health care professionals have been at high occupational risk of getting disease and even dying of the disease, however; they have been the subject of very limited studies in terms of COVID-19. The objectives of this study are to examine the incidence and the impact of COVID-19 infection among HCWs in terms of recovery, productivity, quality of life (QOL) and post-COVID complications.

Materials and Methods

This was a retrospective, questionnaire based study including demographic details, workplace characteristics, symptoms, source/ spread of infection, details of recovery and the consequences of COVID-19 comprising impaired productivity/ QOL, post-COVID-19 complications and others. The data were analyzed by using IBM SPSS software (Version 23, SPSS Inc., Chicago, IL, USA).

Results and Conclusions

Out of a total of 1482 employees, 18.3% (271) were laboratory confirmed to have contracted novel contagion during the study period of 5 months. The median age at diagnosis was 29 (range, 21-62) years. Front-line workers and female workers were the most infected personnel with COVID-19. Flu-like symptoms were the most frequently experienced symptoms. The median time for recovery was 20 (range, 2-150) days. The relationship between pre-existing comorbidities and age was highly significant. The QOL and productivity were associated with pre-existing comorbidities, severity of the disease, time for recovery and post-COVID syndrome. More than a half (51.8%) of all HCWs had suffered from post-COVID complications. There was no fatality reported due to COVID-19. The post-COVID complications were related to pre-existing comorbidities, severity of disease, time for recovery and status of recovery. Further research to explore the consequences of COVID-19 is warranted. The general public needs to be aware of symptoms and management of the post-COVID syndrome.

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  1. ScreenIT

    SciScore for 10.1101/2021.02.28.21252181: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was granted a waiver by Institutional Review Board.
    Consent: This was a retrospective, questionnaire based survey and the data of participants had to be utilized in de-identified form so the requirement for informed consent was waived.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis: The data were analyzed by using IBM SPSS software (Version 23, SPSS Inc., Chicago, IL, USA).
    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: We detected the following sentences addressing limitations in the study:
    The limitation of our study is the lack of more information about cases that had severe illness and required hospitalization, though the number of such cases was low. In conclusion, nurses have been affected the most among all healthcare professionals. The QOL and productivity are associated with pre-existing comorbidities, the severity of disease, time for recovery and post-COVID syndrome. Half of all HCWs have been still suffering from post-COVID syndrome and are yet to achieve complete recovery. COVID-19 recovery is linked with the severity of disease. Close attention should be paid to the complications of post-COVID as India records the second highest caseloads with COVID-19 in the world. The general population needs to be aware of post-COVID symptoms and care.

    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.

  2. Version published to 10.1101/2021.02.28.21252181v1 on medRxiv