Connecting in COVID 19: Neurology telephonic-follow-up experience in the pandemic (Preprint)

  1. Deepti Vibha
  2. MV Padma Srivastava
  3. Kameshwar Prasad
  4. Manjari Tripathi
  5. Achal Kumar Srivastava
  6. Rohit Bhatia
  7. Mamta Bhushan Singh
  8. Vishnu VY
  9. Roopa Rajan
  10. Awadh Kishor Pandit
  11. Rajesh Kumar Singh
  12. Animesh Das
  13. Anu Gupta
  14. Arunmozhimaran Elavarasi
  15. Divya MR
  16. Bhargavi Ramanujam
  17. Ahmadulla Shariff

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Abstract

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  1. Version published to 10.2196/24262
  2. ScreenIT

    SciScore for 10.1101/2020.07.13.20153171: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: After explaining the objectives of the call and obtaining a telephonic consent, the verbal consent was recorded in the patients file.
    IRB: Ethical clearance was taken from the Institute Ethics committee (IEC-301/17.04.2020).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    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 limitations were that the patient’s perceptions were not systematically recorded, as it could have contributed to the policy making for such facility in future. Another limitation could be a potential miscommunication but would only be known in subsequent visits. Making this a routine practice would require a mechanism of documentation of the conversation and prescription. It would additionally help in decongesting busy OPDs. Involvement of social workers and tele-rehabilitation will go a long way in improving services. A scheduled video interaction and email communication of prescription has barriers in a resource poor setting like India. Lack of literacy and smartphone use11 might be the possible challenges while putting it in routine use. We also did not use the video communication, and a prior intimation would have facilitated this in a sub-group of patients. This would have required more preparation and personnel.

    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.

  3. Version published to 10.1101/2020.07.13.20153171v1 on medRxiv