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Record W2293714720 · doi:10.3233/wor-162264

Facilitators and barriers to doing workplace mental health research: Case study of acute psychological trauma in a public transit system

2016· article· en· W2293714720 on OpenAlexaff
Paul S. Links, Ash Bender, Rahel Eynan, John O’Grady, Ravi Shah

Bibliographic record

VenueWork · 2016
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsCentre for Addiction and Mental HealthWestern University
Fundersnot available
KeywordsMental healthPsychological interventionNursingMultidisciplinary approachStigma (botany)PsychologyPublic healthIntervention (counseling)MedicinePsychiatryPolitical science

Abstract

fetched live from OpenAlex

The Acute Psychological Trauma (APT) Study was a collaboration between an acute care hospital, a specialized multidisciplinary program designed to meet the mental health needs of injured workers, and a large urban public transit system. The overall purpose was to evaluate a Best Practices Intervention (BPI) for employees affected by acute psychological trauma compared to a Treatment as Usual (TAU) group. The specific purpose is to discuss facilitators and barriers that were recognized in implementing and carrying out mental health research in a workplace setting. Over the course of the APT study, a joint implementation committee was responsible for day-to-day study operations and made regular observations on the facilitators and barriers that arose throughout the study. The facilitators to this study included the longstanding relationships among the partners, increased recognition for the need of mental health research in the workplace, and the existence of a community advisory committee. The significant barriers to doing this study of mental health research in the workplace included differences in organizational culture, inconsistent union support, co-interventions, and stigma. Researchers and funding agencies need to be flexible and provide additional resources in order to overcome the barriers that can exist doing workplace mental health research.

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)0.006
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.128
GPT teacher head0.463
Teacher spread0.335 · 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 designQualitative
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

Citations5
Published2016
Admission routes1
Has abstractyes

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