Nurses’ judgments of patient risk of deterioration at change-of-shift handoff : agreement between nurses and comparison with early warning scores
Fiche du document
17 janvier 2022
- handle: 10670/1.bse5ps
- doi: 10.1016/j.hrtlng.2020.02.037
Ce document est mis à disposition selon les termes de la Licence Creative Commons Attribution - Pas d’utilisation commerciale - Pas de Modification 4.0 International. / This work is licensed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License. , https://creativecommons.org/licenses/by-nc-nd/4.0/deed.fr
Sujets proches
Registered nurses Nurses and nursing RNs (Registered nurses)Citer ce document
Patrick Lavoie et al., « Nurses’ judgments of patient risk of deterioration at change-of-shift handoff : agreement between nurses and comparison with early warning scores », Papyrus : le dépôt institutionnel de l'Université de Montréal, ID : 10.1016/j.hrtlng.2020.02.037
Métriques
Partage / Export
Résumé
Background Nurses begin forming judgments regarding patients’ clinical stability during change-of-shift handoffs. Objectives To examine the agreement between incoming and outgoing nurses’ judgments of deterioration risk following handoff and compare these judgments to commonly used early warning scores (MEWS, NEWS, ViEWS). Methods Following handoffs on three medical/surgical units, nurses completed the Patient Acuity Rating. Nurse ratings were compared with computed early warning scores based on clinical data. In follow-up interviews, nurses were invited to describe their experiences of using the rating scale. Results Sixty-two nurses carried out 444 handoffs for 158 patients. While the agreement between incoming and outgoing nurses was fair, correlations with early warning scores were low. Nurses struggled with predicting risk and used their impressions of differential risk across all the patients to whom they had been assigned to arrive at their ratings. Conclusion Nurses shared information that influenced their clinical judgments at handoff; not all of these cues may necessarily be captured in early warning scores.