University of Arizona College of Nursing, Tucson, AZ, USA.
Int J Med Inform. 2011 Jul;80(7):507-17. doi: 10.1016/j.ijmedinf.2011.03.015. Epub 2011 May 4.
We used ORA, a dynamic network analysis tool, to identify patient care unit communication patterns associated with patient safety and quality outcomes. Although ORA had previously had limited use in healthcare, we felt it could effectively model communication on patient care units.
Using a survey methodology, we collected communication network data from nursing staff on seven patient care units on two different days. Patient outcome data were collected via a separate survey. Results of the staff survey were used to represent the communication networks for each unit in ORA. We then used ORA's analysis capability to generate communication metrics for each unit. ORA's visualization capability was used to better understand the metrics.
We identified communication patterns that correlated with two safety (falls and medication errors) and three quality (e.g., symptom management, complex self care, and patient satisfaction) outcome measures. Communication patterns differed substantially by shift.
The results demonstrate the utility of ORA for healthcare research and the relationship of nursing unit communication patterns to patient safety and quality outcomes.
我们使用动态网络分析工具 ORA,确定与患者安全和质量结果相关的患者护理单元沟通模式。尽管 ORA 之前在医疗保健中的应用有限,但我们认为它可以有效地对患者护理单元上的沟通进行建模。
我们使用调查方法,从两个不同日期的七个患者护理单元的护理人员那里收集沟通网络数据。通过单独的调查收集患者结果数据。工作人员调查的结果用于在 ORA 中代表每个单元的沟通网络。然后,我们使用 ORA 的分析功能为每个单元生成沟通指标。使用 ORA 的可视化功能来更好地理解这些指标。
我们确定了与两个安全(跌倒和用药错误)和三个质量(例如症状管理、复杂的自我护理和患者满意度)指标相关的沟通模式。沟通模式因班次而异。
结果表明,ORA 可用于医疗保健研究,以及护理单元沟通模式与患者安全和质量结果之间的关系。