Accepted for/Published in: JMIR Research Protocols
Date Submitted: Apr 8, 2020
Date Accepted: May 4, 2020
Date Submitted to PubMed: May 4, 2020
Implementing a Protocol to Assess Real-Time Mental Health Challenges of COVID-19 in Individuals with Serious Mental Illnesses
ABSTRACT
Background:
The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as persons with serious mental illness, have been largely overlooked.
Objective:
To examine the mental health impact of COVID-19 and social distancing behaviors among persons with serious mental illness and the behaviors taken to prevent COVID-19 infection.
Methods:
Participants will include individuals with serious mental illness (e.g., schizophrenia, bipolar disorder) and non-psychiatric control participants who are currently or previously participated in several ongoing parent observational studies. Data will be collected throughout April, 2020. Participants will complete a one-time phone interview to assess their current emotional functioning and measures they have taken to prevent COVID-19 infection. Baseline (pre-COVID-19) mental health, sampled by ecological momentary assessment over an extended period, will be compared with current mental health, sampled by ecological momentary assessment over an extended period, and demographic, cognitive and psychosocial factors at baseline will be used to examine risk and resilience to current mental health and coping.
Results:
Study results will be published in peer-reviewed scientific journals.
Conclusions:
Findings have broad implications for understanding the psychological consequences of COVID-19 among vulnerable persons with serious mental illness, and will provide the opportunity to identify targets to reduce negative outcomes in the future. We also hope our efforts will provide a roadmap and resources for other researchers who would like to implement a similar approach.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.