Tewfik George, Hesketh Patrick, Chinn Lawrence, Srinivasan Nivetha, Abdelmalek Andrew
Department of Anesthesiology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.
PEC Innov. 2023 Apr 8;2:100153. doi: 10.1016/j.pecinn.2023.100153. eCollection 2023 Dec.
Patient comprehension of informed consent and demonstration of procedural understanding is often lacking in anesthesiology. The purpose of this study was to determine if patient communication in anesthesiology is being conducted effectively, and in a manner that ensures adequate communication between anesthesia professionals and their patients regarding procedures with associated risks and benefits.
Anesthesia professionals were recorded in a simulated setting explaining anesthesia procedures of increasing complexity with one control scenario. Score means were calculated, and statistical comparisons made between discussion of anesthesia procedures and the control scenario.
Calculation of means for 6 readability tests demonstrated the grade level required to understand the medical practitioners' verbal communication was high and increased with complexity of the anesthesia procedure described. The control scenario required a statistically significant lower level of comprehension for the recipient of the information.
In simulated settings, anesthesia professionals regularly communicate procedural details in a manner that is difficult for the general public to understand. Subjects could communicate in simple terms when discussing a control.
This pilot study demonstrated effective methodology, using artificial intelligence technology for transcription, to assess patient comprehension of verbal communication.
在麻醉学领域，患者对知情同意的理解以及对手术流程的理解往往不足。本研究的目的是确定麻醉学中与患者的沟通是否有效，以及其方式能否确保麻醉专业人员与患者就具有相关风险和益处的手术进行充分沟通。
在模拟场景中记录麻醉专业人员解释复杂度不断增加的麻醉手术过程，同时设置一个对照场景。计算得分均值，并对麻醉手术讨论与对照场景进行统计比较。
6项可读性测试的均值计算表明，理解医生口头交流所需的年级水平较高，且随着所描述麻醉手术复杂度的增加而提高。对照场景中信息接收者所需的理解水平在统计学上显著更低。
在模拟场景中，麻醉专业人员通常以普通公众难以理解的方式传达手术细节。在讨论对照场景时，受试者能够用简单的语言进行交流。
这项初步研究展示了一种有效的方法，即使用人工智能技术进行转录，以评估患者对口头交流的理解。
