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Record W4321607519 · doi:10.35502/jcswb.300

Addressing the mental health impacts of COVID-19 on Canada’s frontline workers

2023· article· en· W4321607519 on OpenAlexafffundvenueabout
Alexandra Heber, Amber Schick, Elizabeth Bose

Bibliographic record

VenueJournal of Community Safety and Well-Being · 2023
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsMcMaster UniversityCanadian Institute for Public Safety Research and Treatment
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsCoronavirus disease 2019 (COVID-19)Mental health2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)BusinessMedicinePsychologyVirologyPsychiatryOutbreak

Abstract

fetched live from OpenAlex

the Federal Framework on Post-Traumatic Stress Disorder Act became law, after receiving all-party support in the Parliament of Canada.This ground-breaking Act acknowledges that those in certain occupations, including public safety personnel (PSP) such as police, firefighters, paramedics, search and rescue personnel, Indigenous emergency managers, correctional employees, operational and intelligence personnel, border services personnel, and public safety communicators, along with healthcare professionals (HCPs) and military personnel, are at greater risk of exposure to potentially traumatic events, and therefore are more likely to develop posttraumatic stress disorder (PTSD) than the general population, just by doing their jobs (Public Health Agency of Canada [PHAC], 2019).The Act mandated PHAC to lead a coordinated, national approach to recognize PTSD among those within these occupational groups and, through this recognition, to help lay the groundwork for more timely access to mental health and well-being supports for those affected.As such, the Federal Framework on PTSD was created by PHAC in collaboration with multiple stakeholders.Through research, promotion, and implementation of best practices, education, awareness, and evidence-based treatments, this framework seeks to ensure the creation of solutions for those affected by occupation-related PTSD.The Federal Framework on PTSD Act was passed in 2018, and its relevance has only increased in significance during the COVID-19 pandemic.According to preliminary data from a study on the mental health effects of working the frontlines of the COVID-19 pandemic, 35% of Canadian PSP scored above 33 on the PCL-5, a self-report psychological instrument that assesses for the diagnostic symptoms of PTSD.Scores above 33 on the PCL-5 are compatible with the presence of symptoms severe enough to require formal treatment for PTSD.Furthermore, when screened for symptoms of depression, anxiety, and stress using the Depression, Anxiety, and Stress Scale 21 (DASS-21), an alarming percentage of PSP scored within the moderate to extremely severe range for depression (41%), for anxiety (over

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.102
GPT teacher head0.427
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2023
Admission routes4
Has abstractyes

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