Les facteurs reliés aux absences prolongées du travail en raison d’un trouble mental transitoire : développement d’un outil de mesure
Bibliographic record
Abstract
Click here for the English version of this report_x000D_ Les problèmes de santé mentale sont en recrudescence dans les organisations. Jusqu’à maintenant, on connait des approches de traitement qui réduisent les symptômes de la maladie. Toutefois, il est clairement démontré que malgré l’amélioration du fonctionnement des personnes, celle-ci n’est pas associée nécessairement à un retour au travail. Ce constat suggère que l'incapacité au travail associée à un tel état de santé constitue un phénomène multifactoriel complexe. Or, peu d'études ont évalué spécifiquement les facteurs prédictifs et les obstacles de la reprise des activités professionnelles dans ces cas. Cette étude cible, pour la première fois, une cinquantaine de facteurs liés à l’absence prolongée et au retour au travail chez des individus présentant un trouble mental transitoire. Les auteurs les ont regroupés en quatre grandes catégories : démographiques et sociaux, cliniques, occupationnels et en lien avec le régime d’assurance. Afin de faciliter le dépistage systématique de ces facteurs, un guide d’entrevue, nommé l’Outil d’identification de la situation de handicap au travail (OISHT), a été élaboré pour les intervenants. Dans les prochaines années, des études supplémentaires devront être réalisées afin de le valider._x000D_ Abstract_x000D_ Mental health problems are re-emerging in organizations. Treatment approaches that reduce the symptoms of this disease are known. However, it is clearly demonstrated that despite the improvement in the functioning of the people, this is not necessarily associated with a return to work. This observation suggests that workplace disability associated with such a health condition is a complex multifactor phenomenon. Few studies have specifically evaluated the predictive factors and the obstacles to the resumption of occupational activities in these cases. For the first time, this study targets some fifty factors related to prolonged absence and to a return to work of individuals presenting a temporary mental disorder. The authors grouped them into four major categories: demographic and social, clinical, occupational and related to the insurance plan. To facilitate the systematic identification of these factors, an interview guide called the Outil d’identification de la situation de handicap au travail (OISHT, Tool for identifying the disability situation) was developed for practitioners. In the next few years, additional studies must be carried out to validate it.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".