Enhancing nurse and physician collaboration in clinical decision making through high-fidelity interdisciplinary simulation training.

OBJECTIVE: To determine whether interdisciplinary simulation team training can positively affect registered nurse and/or physician perceptions of collaboration in clinical decision making. PARTICIPANTS AND METHODS: Between March 1 and April 21, 2009, a convenience sample of volunteer nurses and physicians was recruited to undergo simulation training consisting of a team response to 3 clinical scenarios. Participants completed the Collaboration and Satisfaction About Care Decisions (CSACD) survey before training and at 2 weeks and 2 months after training. Differences in CSACD summary scores between the time points were assessed with paired t tests. RESULTS: Twenty-eight health care professionals (19 nurses, 9 physicians) underwent simulation training. Nurses were of similar age to physicians (27.3 vs 34.5 years; p = .82), were more likely to be women (95.0% vs 12.5%; p < .001), and were less likely to have undergone prior simulation training (0% vs 37.5%; p = .02). The pretest showed that physicians were more likely to perceive that open communication exists between nurses and physicians (p = .04) and that both medical and nursing concerns influence the decision-making process (p = .02). Pretest CSACD analysis revealed that most participants were dissatisfied with the decision-making process. The CSACD summary score showed significant improvement from baseline to 2 weeks (4.2 to 5.1; p < .002), a trend that persisted at 2 months (p < .002). CONCLUSION: Team training using high-fidelity simulation scenarios promoted collaboration between nurses and physicians and enhanced the patient care decision-making process.

Environmental noise sources and interventions to minimize them: a tale of 2 hospitals.

Noise has been shown to interfere with the healing process and can disrupt the patient's experience. This study assessed patients' and staff's perceptions of noise levels and sources in the hospital environment and identified interventions to reduce the noise level. The interventions significantly reduced noise as perceived by patients and staff. Identification of a structured process to identify noise sources and standardization of noise measurement methods can improve the patient hospital experience.