Towards developing a guideline for vocational evaluation following traumatic brain injury: the qualitative synthesis of clients’ perspectives
Bibliographic record
Abstract
Purpose: This paper is a qualitative synthesis of clients’ perspectives of the elements significant to return to work following traumatic brain injury (TBI). This is part of a larger review, completed to provide the evidence base for a vocational evaluation guideline. Methods: Processes outlined in the Cochrane Handbook of Systematic Review guided the full review including: developing review questions, search strategies and selection criteria; quality appraisal; data extraction, analysis and synthesis; drawing conclusions. Four data bases (i.e. Medline, Embase, PsychInfo, Cochrane) were searched for relevant qualitative studies. Evidence tables were used to extract data from studies and thematic analysis employed to analyze the qualitative data. Results: Analysis of clients’ perspectives on return to work resulted in four key themes including the following: 1) meaning of work; 2) process of return to work and reconciling new identities; 3) opportunities to try versus risks of failure; 4) significance of supports. Themes are discussed in relation to vocational evaluation and findings from other syntheses. Conclusions: Vocation evaluation should include the assessment of: the meaning clients ascribe to work following a TBI and their post-injury goals; clients’ self-perceptions of work competency, work readiness and anticipated challenges with return to work; and the available supports.Implications for RehabilitationIncorporating clients’ perspectives within vocational evaluation facilitates their partnership in the process.Vocational evaluators should assess clients’ post-injury work goals, interests and motivations, as the meaning of work can change following traumatic brain injury (TBI).Vocational evaluators should assess the opportunities for experimentation with work activities, to facilitate clients’ development of self-awareness and new self-identities.Vocational evaluators should identify instrumental and emotional supports available to clients, to mediate challenges that may arise during return to work.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.379 | 0.369 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.017 | 0.014 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.015 | 0.016 |
| Open science | 0.009 | 0.014 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".