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The Relationship Between Mindfulness, Triage Accuracy, and Patient Satisfaction in the Emergency Department: A Moderation-Mediation Model
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- 자료유형학술지논문
- 저자명Saban, Mor,Dagan, Efrat,Drach-Zahavy, Anat
- 학회/출판사/기관명Elsevier Science B.V., Amsterdam
- 출판년도2019
- 언어영어
- 학술지명/학위논문주기Journal of emergency nursing
- 발행사항Vol.45No.6[2019]_x000D_
- ISBN/ISSN0099-1767
- 소개/요약Introduction: Individual and collective mindfulness attracts growing research attention, yet reports of their impact on health care professionals' work behaviors are scarce, especially in the emergency department. The aim of the current study was to explore whether the association between trait mindfulness and triage accuracy is moderated by the emergency workload environment, and whether this association promotes patient satisfaction subject to levels of collective mindfulness. Methods: A prospective consecutive nested design was conducted. Data were collected from ED teams (nurses and physicians, N = 96) on individual characteristics and trait mindfulness. Data were also collected on triage accuracy, triage team characteristics, collective mindfulness, workload, and patient satisfaction (N = 960) at a specific patient-ED team encounter. Results: Findings indicated that ED workload environment (b = 0.24, P < 0.01), trait mindfulness (b = 1.80, P < 0.01), and their interaction (b = -0.04, P < 0.05) were associated with triage accuracy. Triage accuracy (b = 1.81, P < 0.001), collective mindfulness (b = 1.29, P < 0.001), and their interaction (b = -0.32, P < 0.001) were associated with patient satisfaction. The moderated-mediation model was significant under high, but not under extreme, levels of ED workload environment and all levels of collective mindfulness. Discussion: Trait and collective mindfulness are relevant to ED triage and patient satisfaction, but their effects are bounded by workload. The beneficial gain of nurses' trait mindfulness on triage accuracy and collective mindfulness on patient satisfaction is demonstrated only under high-workload environments but limited under extreme-workload environments.
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