Soley Nidhi, Klein Alison, Taylor Casey Overby, Nguyen Michelle, Ewachiw Gabriella, Shah Hridaya, Bodurtha Joann
Johns Hopkins University, Institute for Computational Medicine.
Johns Hopkins Whiting School of Engineering.
AMIA Jt Summits Transl Sci Proc. 2023 Jun 16;2023:497-504. eCollection 2023.
Genetic testing is a valuable tool to guide care of pancreatic cancer patients, yet personal and family uncertainty about the benefits of genetic testing (i.e., decisional conflict) may lead to low adoption. Enabling patients to learn more about genetic testing before their scheduled appointments may help to address this decisional conflict problem. We completed a feasibility assessment of a chatbot to provide genetic education (GEd) with 60 pancreatic cancer patients and using the chatbot to deliver surveys to assess: (a) opinions about the GEd, and (b) decisional conflict about genetic testing. Findings demonstrate intervention and study feasibility with about 80% of participants engaging with the GEd chatbot, 71% of which completed at least one survey. Overall, participants appear to have favorable opinions of the chatbot-delivered education and thought it was helpful to decide about genetic testing. Furthermore, patients who chose to get genetic testing spent more time interacting with the chatbot. Findings will be used to improve chatbot design and to facilitate a well-powered future trial.
基因检测是指导胰腺癌患者护理的一项重要工具,但个人及家族对基因检测益处的不确定性(即决策冲突)可能导致其接受度较低。让患者在预约就诊前更多地了解基因检测,可能有助于解决这一决策冲突问题。我们完成了一项针对聊天机器人的可行性评估,该聊天机器人为60名胰腺癌患者提供基因教育(GEd),并使用该聊天机器人进行调查,以评估:(a)对基因教育的看法,以及(b)基因检测的决策冲突。结果表明干预措施和研究具有可行性,约80%的参与者与基因教育聊天机器人互动,其中71%至少完成了一项调查。总体而言,参与者对通过聊天机器人提供的教育似乎持积极看法,并认为这有助于决定是否进行基因检测。此外,选择进行基因检测的患者与聊天机器人互动的时间更长。研究结果将用于改进聊天机器人的设计,并推动未来进行更具说服力的试验。