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Record W7083347682

An Expert and Evidence-Informed Framework to Prevent Prolonged Absence from Work for Public Safety Personnel with a Work-Related Psychological Injury/Illness: A Consensus-Based Mixed Methods Study

2025· dissertation· en· W7083347682 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2025
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Delphi methodCompensation (psychology)Best practiceOccupational safety and healthQuality (philosophy)DelphiHuman factors and ergonomics
DOInot available

Abstract

fetched live from OpenAlex

Each year in Canada, thousands of public safety personnel (PSP) must leave work because of a work-related psychological injury/illness . The loss of PSP from the workplace is of significant concern, particularly when fewer individuals are entering such occupations, and for those who do, the learning curve is steep. Public safety professions require extensive training and ongoing development to master the skills and knowledge necessary for the job. The rate of work-related injury/illness associated with public safety work has steadily increased in Canada in recent years. A subset of PSP, including firefighters, paramedics, police, and correctional workers, is of particular concern. PSP who are unable to work or have impaired functioning due to a work-related injury/illness may be eligible for workers’ compensation benefits. Meaningful support from workers’ compensation boards (WCBs) is vital for these workers in times of work disruption and associated distress. We employed a consensus-based mixed-methods Delphi study to identify the key components of WCB case management practice, collecting data from a group of experts between March 2023 and August 2023. After a series of iterations, a consensus was reached on the key components of a practice framework for use by WCB case managers (CMs) to help mitigate or, where possible, prevent the negative consequences of work disability. This study sheds light on what is required by WCB CMs intervening with PSP to support recovery, improve quality of life, and restore work capacity. The findings of this study highlight the importance of the intersection of psychological injury/illness, occupational-cultural awareness, and best practices in disability management/rehabilitation, as well as training and resources to improve a CM’s ability to intervene with PSP. This knowledge can guide practice to help PSP rehabilitate, stay-at-work, or return-to-work. The practical implications of our findings for case management practice are significant, as they provide a roadmap for improving the support and care provided to PSP.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.022
GPT teacher head0.327
Teacher spread0.305 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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