Financial Burden and Catastrophic Health Expenditure Associated with COVID-19 Hospitalizations in Kerala, South India

  1. Ronnie Thomas
  2. Quincy Mariam Jacob
  3. Sharon Raj Eliza
  4. Malathi Mini
  5. Jobinse Jose
  6. Sobha A

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Abstract

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  1. Version published to 10.2147/ceor.s365999
  2. ScreenIT

    SciScore for 10.1101/2021.12.20.21268081: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Verbal informed consent was obtained from all study participants.
    IRB: The Institutional Review Board (IRB)of Government Medical College
    Sex as a biological variablenot detected.
    RandomizationThe authors performed a systematic random sampling for selecting study participants from the linelist, which also included patients expired at the time of data collection for whom details were collected from the next of kin.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All statistical analyses were conducted using the statistical software SPSS version 20.0
    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:
    Our study has several limitations. Firstly it was not possible for us to correctly analyse the cost components in the OOP expenses as patients who sought care in public health facilities were not provided a hospital bill or expenditure statement. Secondly recall bias may have affected the retrospective assessment of the expenditures. Thirdly the approach of calculating the monthly household income based on total expenditure may have underestimated the actual household income. Notwithstanding these limitations, the study provides key information that will enable policy makers to prioritise interventions to ensure health equity and universal health coverage.

    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.

  3. Version published to 10.1101/2021.12.20.21268081v1 on medRxiv