School of Nursing, Vanderbilt University, Nashville, TN 37240, United States.
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
J Am Med Inform Assoc. 2023 Dec 22;31(1):61-69. doi: 10.1093/jamia/ocad209.
We examined the influence of 4 different risk information formats on inpatient nurses' preferences and decisions with an acute clinical deterioration decision-support system.
We conducted a comparative usability evaluation in which participants provided responses to multiple user interface options in a simulated setting. We collected qualitative data using think aloud methods. We collected quantitative data by asking participants which action they would perform after each time point in 3 different patient scenarios.
More participants (n = 6) preferred the probability format over relative risk ratios (n = 2), absolute differences (n = 2), and number of persons out of 100 (n = 0). Participants liked average lines, having a trend graph to supplement the risk estimate, and consistent colors between trend graphs and possible actions. Participants did not like too much text information or the presence of confidence intervals. From a decision-making perspective, use of the probability format was associated with greater concordance in actions taken by participants compared to the other 3 risk information formats.
By focusing on nurses' preferences and decisions with several risk information display formats and collecting both qualitative and quantitative data, we have provided meaningful insights for the design of clinical decision-support systems containing complex quantitative information.
This study adds to our knowledge of presenting risk information to nurses within clinical decision-support systems. We encourage those developing risk-based systems for inpatient nurses to consider expressing risk in a probability format and include a graph (with average line) to display the patient's recent trends.
我们研究了 4 种不同的风险信息格式对使用急性临床恶化决策支持系统的住院护士偏好和决策的影响。
我们进行了一项比较可用性评估,参与者在模拟环境中对多个用户界面选项做出回应。我们使用出声思考法收集定性数据,并通过询问参与者在 3 种不同患者场景中的每个时间点后他们将采取什么行动来收集定量数据。
更多的参与者(n=6)更喜欢概率格式而不是相对风险比(n=2)、绝对差异(n=2)和每 100 人中的人数(n=0)。参与者喜欢平均线,有趋势图来补充风险估计,以及趋势图和可能的行动之间的颜色一致。参与者不喜欢太多的文本信息或置信区间的存在。从决策的角度来看,与其他 3 种风险信息格式相比,使用概率格式与参与者采取的行动更一致。
通过关注护士对几种风险信息显示格式的偏好和决策,并收集定性和定量数据,我们为设计包含复杂定量信息的临床决策支持系统提供了有意义的见解。
本研究增加了我们对在临床决策支持系统中向护士呈现风险信息的了解。我们鼓励那些为住院护士开发基于风险的系统的人考虑以概率格式表达风险,并包括显示患者近期趋势的图表(带有平均线)。