Ben-Gurion University of the Negev, Beer Sheva, Israel.
Imperial College London, UK.
Hum Factors. 2019 Dec;61(8):1315-1325. doi: 10.1177/0018720819837037. Epub 2019 Mar 26.
To explore cognitive strategies clinicians apply while performing a medication reconciliation task, handling incomplete and conflicting information.
Medication reconciliation is a method clinicians apply to find and resolve inconsistencies in patients' medications and medical conditions lists. The cognitive strategies clinicians use during reconciliation are unclear. Controlled lab experiments can explore how clinicians make sense of uncertain, missing, or conflicting information and therefore support the development of a human performance model. We hypothesize that clinicians apply varied cognitive strategies to handle this task and that profession and experience affect these strategies.
130 clinicians participated in a tablet-based experiment conducted in a large American teaching hospital. They were asked to simulate medication reconciliation using a card sorting task (CaST) to organize medication and medical condition lists of a specific clinical case. Later on, they were presented with new information and were asked to add it to their arrangements. We quantitatively and qualitatively analyzed the ways clinicians arranged patient information.
Four distinct cognitive strategies were identified ("Conditions first": = 76 clinicians, "Medications first": = 7, "Crossover": = 17, and "Alternating": = 10). The strategy clinicians applied was affected by their experience ( = .02) but not by their profession. At the appearance of new information, clinicians moved medication cards more frequently (75.2 movements vs. 49.6 movements, < .001), suggesting that they match medications to medical conditions.
Clinicians apply various cognitive strategies while reconciling medications and medical conditions.
Clinical information systems should support multiple cognitive strategies, allowing flexibility in organizing information.
探索临床医生在执行药物重整任务时应用的认知策略,以处理不完整和冲突的信息。
药物重整是临床医生用来发现和解决患者药物和医疗状况清单中不一致的方法。临床医生在重整过程中使用的认知策略尚不清楚。受控实验室实验可以探索临床医生如何理解不确定、缺失或冲突的信息,从而支持人类绩效模型的开发。我们假设临床医生应用各种认知策略来处理这项任务,并且专业和经验会影响这些策略。
130 名临床医生参与了在美国一家大型教学医院进行的基于平板电脑的实验。他们被要求使用卡片分类任务(CaST)模拟药物重整,以组织特定临床病例的药物和医疗状况清单。之后,他们会收到新的信息,并被要求将其添加到他们的安排中。我们对临床医生安排患者信息的方式进行了定量和定性分析。
确定了四种不同的认知策略(“先处理状况”:76 名临床医生;“先处理药物”:7 名;“交叉”:17 名;“交替”:10 名)。临床医生应用的策略受到经验的影响( <.02),但不受专业的影响。在新信息出现时,临床医生更频繁地移动药物卡片(75.2 次移动与 49.6 次移动, <.001),这表明他们将药物与医疗状况相匹配。
临床医生在重整药物和医疗状况时应用各种认知策略。
临床信息系统应支持多种认知策略,以实现信息组织的灵活性。