Using a Workplace Rehabilitation and Reintegration Program Tracker Tool to Explore Factors Associated With Return to Duty Among Ill/Injured Military Personnel: A Preliminary Analysis
Notice bibliographique
Résumé
INTRODUCTION: A great deal of time and resources have been spent on developing and implementing evidence-based return to work programs over the past few decades, compelling researchers to better understand the factors associated with more favorable outcomes. Using data collected as part of a participant tracking system trial for the Canadian Armed Forces (CAF) Return to Duty (RTD) program, analyses were conducted to better understand the trajectories of program participants and identify the factors associated with RTD. MATERIALS AND METHODS: Participants included 205 Regular Force CAF members from a single military base located in Eastern Canada who entered the RTD program during the trial period between April 2018 and March 2020. The health condition they were facing was mostly recent (i.e., onset within the past 6 months; 43%) and involved their mental health (67%). Data were collected on various demographic, military, health, and program characteristics using the RTD Data Collection Tool, which was updated periodically by program coordinators. Using data gathered by the Tool, a cumulative incidence function was generated to estimate the overall marginal probability of RTD over the duration of the program. Associations between RTD and a range of factors that were captured using the Tool were also examined in a series of competing-risks regressions. RESULTS: Findings indicated that the rate of RTD among program participants increased at around 3 months and began to level off around 9 months, suggesting that the likelihood of RTD after this window is diminished. Of the many factors that were considered, only years of service and work placement status at 3 months were found to be associated with RTD. Specifically, lower rates of RTD were observed among participants with 15 or more years of service compared to those with less than 5 years of service in the CAF and among those who were not yet assigned a work placement at 3 months relative to those who were. CONCLUSION: This study represents a first step in addressing the gap in our current knowledge about the characteristics of CAF members participating in the RTD program and the factors associated with RTD. Several recommendations are made for improving the participant tracking system in view of enhancing the level and quality of information that is available to assess participants' trajectories and inform further development of the program.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».