Impact of COVID-19 on the outreach strategy of cancer social service agencies in Singapore: A pre-post analysis with Facebook data

  1. Kieran Ethan Tan
  2. Aravind Sesagiri Raamkumar
  3. Hwee Lin Wee

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1016/j.jbi.2021.103798
  2. ScreenIT

    SciScore for 10.1101/2020.11.11.20229740: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    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:
    There are certain limitations in our study. Only two cancer-SSAs and their Facebook posts were included in our study. Thus, our findings may not be representative of other cancer-SSAs or other social media platforms. Regardless, Facebook is the most popular social media platform with the highest number of monthly active users. Thus, analyzing Facebook posts would be the most efficient option compared to analyzing other platforms [50]. Another point to note was that the survivorship care model used in this study focused on providing care and support to cancer survivors whilst this study looked at both cancer patients and the general public. Some aspects of the model such as ‘Robust adaptive patient assessment program’ did not apply to cancer-SSAs as their extent of support and care do not including assessing the health issues of cancer patients. Nevertheless, most aspects of the model were applicable in the context of cancer-SSAs providing support and services to their beneficiaries and the general public. This research can be extended in future studies for analyzing all cancer-SSAs or focus on other social media platforms utilized by these cancer-SSAs such as YouTube or Instagram. Another potential topic for further studies includes analyzing the level of follower engagement achieved through these posts to ascertain whether the cancer-SSAs have successfully achieved an optimum level of engagement with their beneficiaries and the general public.

    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 10.1101/2020.11.11.20229740v1 on medRxiv