COVID-19 Pandemic and Academic Speculation of Medical Students of Bangladesh: A Cross-sectional, Comparative Study

  1. Fatema Johora
  2. Asma Akter Abbasy
  3. Fatiha Tasmin Jeenia
  4. Mithun Chandro Bhowmik
  5. Priyanka Moitra
  6. Sabiha Mahboob
  7. Jannatul Ferdous

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

Background

COVID-19 pandemic has caused unprecedented disruptions worldwide including education system. While the necessary focus has been on patient care andwellbeing of healthcare professionals, the impacts on medical students need to be discussed.

Methods

This cross-sectional comparative study was conducted to evaluate the academic speculation of medical students studying in government and non-government institute during COVID-19 pandemic. A structured questionnaire survey linked in the google form was used as study instrument and was distributed among study population through email, messenger, whatsapp and other social media. Total 1020 students were participated in the study

Results

In this research, 441 (43.24%) and 579 (56.77%) students were from government and non-government medical colleges respectively. Opinion of both group was almost similar regarding disruption of medical education, loss of clinical skills and competency, future career plan, and stress and anxiety but significant differences were observed between both group regarding issue of financial burden, meaningful learning opportunities, fear of getting infected and maintenance of social distancing in hostel.

Conclusion

The study revealed similar kind of viewpoint about disruption of education, loss of clinical skill and competency, changing aspects of future career plan and increased level of stress and anxiety among medical students of government and non-government institutes of Bangladesh but different speculations were found regarding issue of financial burden, meaningful learning opportunities, fear of getting infected and possibility of maintenance of social distancing in hostel.

Article activity feed

  1. ScreenIT

    SciScore for 10.1101/2021.05.11.21257042: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Procedure: Permission was taken from college authorities and informed consent was taken from the participants of the Structured Questionnaire Survey.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line AuthenticationAuthentication: Study Instrument: A structured questionnaire consisted of 08 Likert scale (five-point) questions was used for data collection and questionnaire was validated before survey.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis: Data was compiled, presented and analyzed using SPSS version 22, and was expressed as percentage and mean values.
    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.

    Results from scite Reference Check: We found no unreliable references.

    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 10.1101/2021.05.11.21257042v1 on medRxiv