3 Hand Burn Injuries and Occupational Impairment: Impact of Burn Injuries on Return-to-Work Outcomes
Notice bibliographique
Résumé
Abstract Introduction Return to work (RTW) after burn injury is dependent on many variables, including type and location of burn injury, access to care, and pre-injury mental and physical health. Noting that prior studies were limited by small sample sizes, we aimed to use a large database to explore the associations between hand burn severity, functional hand outcomes, and RTW post-injury. Methods Data from a multicenter prospective longitudinal study were analyzed. Adults with burn injuries were classified into 5 groups ranking in severity of hand injury: (0) no hand burns, (1) single hand burn no grafting, (2) bilateral hand burn no grafting, (3) single hand burn requiring grafting, (4) bilateral hand burn requiring unilateral graft, (5) bilateral hand burn requiring bilateral grafts. Grafting was used as a proxy for burn severity. Self-reported employment status, Patient-Reported Outcomes Measurement Information System (PROMIS) Upper Extremity (UE) scores, and reported request for work accommodations were collected at discharge, 6, 12, and 24 months post-injury. Descriptive statistics and analysis of variance (ANOVA) with post-hoc Tukey Test were completed to examine differences in outcomes by hand injury severity. Results A total of 4,621 participants met inclusion criteria. Group 5, those with the most severe burns, had significantly longer mean RTW times than Groups 0-3 (p < 0.005). Group 5’s average RTW (242.6, Standard deviation (SD): 417.9) was greater, however not significantly, compared to group 4 (175.8 SD: 207.0). At 6 months, the mean PROMIS UE scores for grafted groups (Group 3, 40.6 SD: 11.4; Group 5, 35.4 SD: 12.8) were significantly worse than non-grafted groups (Group 1, 46.8; Group 2, 45.0; (p < 0.0001). At 12 months, Groups 5 (39.1 SD: 13.6) and 1 (48.7 SD: 8.6) remained significantly different. At 24 months, mean PROMIS UE scores were worse for grafted groups, though differences were no longer significant compared to non-grafted groups. At every time point, the majority of respondents did not request accommodations for their injuries from their employers (p-value 0.26, 0.66, and 0.86 for 6, 12, and 24 months respectively). Conclusions Burn severity plays a significant role in both RTW and hand function for participants with hand burns. Additionally, the lack of correlation between burn severity and request for work accommodations hints at the baseline vulnerability of these populations. These findings suggest a need for systematic improvements in the way these patients are cared for and re-integrated into the workforce. Applicability of Research to Practice These findings suggest a complex association between burn location, severity, patient functionality, and RTW. Furthermore, this study unveiled the disconnect between burn severity and request for work accommodations. Our data points to the need for further study into current methods of post-burn vocational rehabilitation.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 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 source (Gemma direct ou Codex distillé), 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 ».