How the COVID-19 pandemic affects transgender health care - A cross-sectional online survey in 63 upper-middle-income and high-income countries

  1. Andreas Koehler
  2. Joz Motmans
  3. Leo Mulió Alvarez
  4. David Azul
  5. Karen Badalyan
  6. Koray Basar
  7. Cecilia Dhejne
  8. Dragana Duišin
  9. Bartosz Grabski
  10. Aurore Dufrasne
  11. Natasa Jokic-Begic
  12. Antonio Prunas
  13. Christina Richards
  14. Kirill Sabir
  15. Jaimie Veale
  16. Timo Ole Nieder

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Abstract

No abstract available

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  1. Version published to 10.1080/26895269.2021.1986191
  2. ScreenIT

    SciScore for 10.1101/2020.12.23.20248794: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study followed strict ethical guidelines and received ethical approval from both the Local Psychological Ethics Committee at the University Medical Center MM-NN (No.: LPEK-0130, date: 01/04/2020), as well as from PP University Hospital (BC-07607, date: 15/04/2020).
    Consent: All respondents provided informed consent.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableBlock 1 included age, education (no formal education, primary, secondary, tertiary education), relationship (yes, no), minority status (person of colour, religious minority, sexual minority, gender minority), disability (yes, no), sex assigned at birth (female, male), and gender (binary, non-binary).

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    SPSS 24.0 was used for all statistical analyses.
    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:
    We consider the type of data collection a potential limitation of our study due to access to the internet being a necessity. This could have excluded participants with low income or without experience with digital technology. However, our sample was comparable to previous studies, in terms of gender or education, for example [7, 18]. As there is still a dynamic COVID-19 situation, with increasing and decreasing numbers of infections and changing national measures to address these, this research also did not explore international comparisons. In countries where COVID-19 has been more effectively suppressed the impacts of COVID-19 could, therefore, be lower. Moreover, we only analysed data from higher middle-income and high-income countries, which is why the results cannot be generalized to countries with lower GNI per capita. However, as participant recruitment in lower middle-income countries and low-income countries appeared to be difficult (but is still ongoing) the clear need for evidence of how COVID-19 affects transgender people led us to focus on the present data. We currently strive to provide data from lower middle-income countries and low-income countries as soon as possible. In sum, it appears that the COVID-19 pandemic has an extraordinary impact on the transgender population in higher middle-income and high-income countries, and that transgender people might suffer under the severity of the pandemic even more than the general population. This is due to the interse...

    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 10.1101/2020.12.23.20248794v1 on medRxiv