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Record W3013244621 · doi:10.1177/0706743720916356

Post-traumatic Stress Disorder, Depression, Anxiety Symptoms and Help Seeking in Psychiatric Staff: Trouble de stress post-traumatique, dépression, symptômes d’anxiété et recherche d’aide chez le personnel psychiatrique

2020· article· en· W3013244621 on OpenAlexafffundvenue
Michael C. Seto, Nicole C. Rodrigues, Elke Ham, Bonnie Kirsh, N. Zoe Hilton

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2020
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of TorontoWaypoint Centre for Mental Health CareRoyal Ottawa Mental Health Centre
FundersWorkSafeBC
KeywordsPsychologyAnxietyDepression (economics)PsychiatryClinical psychology

Abstract

fetched live from OpenAlex

BACKGROUND AND METHODS: In this study, we surveyed 761 psychiatric hospital staff (69% women, 71% full-time, 56% nursing) regarding their exposure to trauma in the workplace; symptoms of post-traumatic stress disorder (PTSD), depression, and anxiety; help seeking; and perceived barriers for help seeking. RESULTS: Significant proportions of staff met the screening cutoffs for probable PTSD (16%), depression (20%), and anxiety (16%). Comorbidity was high, with approximately half of those meeting the screening cutoff for PTSD also meeting the cutoffs for depression or anxiety. Only PTSD symptoms were uniquely associated with exposure to trauma in the workplace, but both PTSD and depression symptoms significantly predicted help seeking. Staff who met one or more screening cutoffs perceived more barriers to help seeking such as difficulty with accessing services. CONCLUSION: Implications for supporting psychiatric staff exposed to trauma are discussed.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.332
Teacher spread0.281 · 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 designObservational
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

Citations33
Published2020
Admission routes3
Has abstractyes

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