Effectiveness of Participatory Ergonomic Interventions on Work-Related Musculoskeletal Disorders, Sick Absenteeism, and Work Performance Among Nurses: Systematic Review
Notice bibliographique
Résumé
Background: Nurses face a higher risk of developing work-related musculoskeletal disorders (WMSDs) due to their primary roles in patient care. Participatory ergonomics (PE), an approach that integrates large-scale interventions performed at organizational and systems levels with small-scale interventions, is widely considered a promising approach to mitigate health problems at the workplace. However, its effectiveness in addressing WMSDs and secondary outcomes such as sickness absence and work performance among nurses is not fully understood. Objective: This systematic review assessed the effectiveness of PE interventions in preventing WMSDs and mitigating two related outcomes, sickness absence and work performance, among nurses. Methods: A literature search was performed in four electronic databases, PubMed, ScienceDirect, Scopus, and PsycNet, guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines to retrieve relevant papers published between 2017 and 2023. Papers fulfilling the eligibility criteria were analyzed and subjected to quality appraisal. Results: Overall, 19 papers were included in the final analysis. Various categories of ergonomic interventions were identified, with the predominant being exercise and physical activities, health promotional activities and training, educational programs, and patient handling devices. Multicomponent interventions, especially those involving physical activities and exercise, demonstrated stronger effects in reducing the risk of WMSDs at 6 months (OR 1.64, 95% CI 1.12-4.54) and 12 months postintervention (OR 2.70, 95% CI 1.52-4.51) compared with single interventions. However, most ergonomic interventions had no statistically significant effect (P>.05) on sickness absence and work performance. More than half (n=13) of the studies demonstrated moderate to high risk of bias, reflecting the need for better quality interventions. Conclusions: Multicomponent interventions, particularly those involving physical activities and exercise, are more effective in reducing the risk of WMSDs among nurses compared with individual interventions. However, their long-term effects in addressing WMSDs, sick absenteeism, and work performance are still unclear. These gaps could be addressed by integrating organizational factors and prevention policies into existing ergonomic interventions, thereby offering opportunities to improve psychological health, job satisfaction, and work dynamics.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| 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) | 0,000 | 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 ».