Service Engagement in Early Psychosis Intervention Following the Transition to Virtual Care

  • Funded by Canadian Institutes of Health Research (CIHR)
  • Total publications:0 publications

Grant number: 202012GSM

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2021
  • Known Financial Commitments (USD)

    $459,459
  • Funder

    Canadian Institutes of Health Research (CIHR)
  • Principal Investigator

    N/A

  • Research Location

    Canada
  • Lead Research Institution

    University of Toronto
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Indirect health impacts

  • Special Interest Tags

    Digital Health

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Repercussions of the COVID-19 pandemic are expected to be particularly detrimental for youth with serious mental illness, especially persons with psychosis. Access to services is critical for this population, as early identification and treatment in the form of specialized early psychosis intervention (EPI) can significantly improve illness trajectories. The pandemic has disrupted service delivery, urging EPI programs to rapidly adopt models of virtual care; however, little is known of the quality or effectiveness of psychosis services delivered virtually. Historically, one-third of early psychosis patients dropout from services prematurely, though the effect of a transition to virtual care on disengagement is unknown. The present study aims to investigate factors associated with disengagement from a virtual model of EPI as compared to traditional, in-person services. To meet this objective, this project will leverage data collected on an evaluation of the implementation effectiveness of e-NAVIGATE, a structured, virtually-delivered EPI program at the Centre for Addiction and Mental Health, funded by CIHR, the Ontario Ministry of Health, and the University of Toronto. Routinely collected demographic, clinical and service use information will be extracted from electronic health records. Using prior data on in-person EPI, time to disengagement will be compared between the virtual and in-person models, examining factors that predict traditional service disengagement (namely, substance use and lack of family involvement), as well as additional health equity factors thought to impact the uptake of virtual care. Findings from this study may help to inform further development of virtual models, facilitating ongoing delivery of high-quality EPI during the pandemic and beyond.