For a structured response to the psychosocial consequences of the restrictive measures imposed by the global COVID-19 health pandemic: the MAVIPAN longitudinal prospective cohort study protocol

  1. Annie LeBlanc
  2. Marie Baron
  3. Patrick Blouin
  4. George Tarabulsy
  5. Francois Routhier
  6. Catherine Mercier
  7. Jean-Pierre Despres
  8. Marc Hébert
  9. Yves De Koninck
  10. Caroline Cellard
  11. Delphine Collin-Vézina
  12. Nancy Côté
  13. Émilie Dionne
  14. Richard Fleet
  15. Marie-Hélène Gagné
  16. Maripier Isabelle
  17. Lily Lessard
  18. Matthew Menear
  19. Chantal Merette
  20. Marie-Christine Ouellet
  21. Marc-André Roy
  22. Marie-Christine Saint-Jacques
  23. Claudia Savard

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Abstract

The COVID-19 pandemic and associated restrictive measures have caused important disruptions in economies and labour markets, changed the way we work and socialise, forced schools to close and healthcare and social services to reorganise. This unprecedented crisis forces individuals to make considerable efforts to adapt and will have psychological and social consequences, mainly on vulnerable individuals, that will remain once the pandemic is contained and will most likely exacerbate existing social and gender health inequalities. This crisis also puts a toll on the capacity of our healthcare and social services structures to provide timely and adequate care. The MAVIPAN (Ma vie et la pandémie/ My Life and the Pandemic) study aims to document how individuals, families, healthcare workers and health organisations are affected by the pandemic and how they adapt.

Methods and analysis

MAVIPAN is a 5-year longitudinal prospective cohort study launched in April 2020 across the province of Quebec (Canada). Quantitative data will be collected through online questionnaires (4–6 times/year) according to the evolution of the pandemic. Qualitative data will be collected with individual and group interviews and will seek to deepen our understanding of coping strategies. Analysis will be conducted under a mixed-method umbrella, with both sequential and simultaneous analyses of quantitative and qualitative data.

Ethics and dissemination

MAVIPAN aims to support the healthcare and social services system response by providing high-quality, real-time information needed to identify those who are most affected by the pandemic and by guiding public health authorities’ decision making regarding intervention and resource allocation to mitigate these impacts. MAVIPAN was approved by the Ethics Committees of the Primary Care and Population Health Research Sector of CIUSSS de la Capitale-Nationale (Committee of record) and of the additional participating institutions.

Trial registration number

NCT04575571 .

Article activity feed

  1. Version published to 10.1136/bmjopen-2021-048749
  2. Version published to 10.1101/2020.11.10.20227397v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2020.11.10.20227397: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    MAVIPAN operates using the REDCap system, a HIPAA compliant secure data entry system, housed within Université Laval’s Pulsar infrastructure.
    REDCap
    suggested: (REDCap, RRID:SCR_003445)

    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:
    Limitations, anticipated problems and solutions: A major source of potential bias in cohort studies is due to losses to follow-up [44]. Cohort members may migrate or refuse to continue to participate in the study. We have put a sound and proven-effective retention plan in place. Open registration throughout the study compensates, to some extent, for loss to follow-up. We will also assess the seriousness of the bias in the measures of effect of exposure and outcome that this may case in incorporating this issue in our analysis plans. We have overcome issues of variations in data collection that sometime occurs in multi-centered studies. All quantitative data collection is done through a unique platform and we have established a common template for all qualitative activities. The collaboration with Pulsar ensures that issues of management of such a large database (i.e. cost) are minimized and sustainability of the database secured.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04575571RecruitingMAVIPAN: My Life and the COVID-19 Pandemic

    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

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  4. Version published to 10.1101/2020.11.10.20227397v1 on medRxiv