Yin Zhijun, Warner Jeremy L, Chen Qingxia, Malin Bradley A
Vanderbilt University, Nashville, TN.
AMIA Annu Symp Proc. 2020 Mar 4;2019:962-971. eCollection 2019.
Hormonal therapy is an effective, but challenging, long-term treatment for patients with hormone-receptor-positive breast cancer. Raising the rate of patients who initiate therapy may be possible by characterizing the factors that influence a patient's decision. We hypothesized that online patient portal messages convey such factors. To investigate this hypothesis, we focused on breast cancer patients who were prescribed hormonal therapy at Vanderbilt University Medical Center and sent messages through the portal between diagnosis and therapy initiation. We first conducted a topic modeling analysis to generate the main themes of portal messages. We subsequently applied survival analysis to learn the association between the factors conveyed in messages, in term of semantic word groups, and the time elapsed from diagnosis to therapy initiation. We found that consulting with healthcare providers increased the probability of therapy initiation, while mentions of symptoms or negative emotions exhibited a reduced probability.
激素疗法是激素受体阳性乳腺癌患者的一种有效但具有挑战性的长期治疗方法。通过确定影响患者决策的因素,提高开始治疗的患者比例或许是可行的。我们推测在线患者门户消息传达了这些因素。为了验证这一推测,我们聚焦于在范德堡大学医学中心接受激素疗法处方的乳腺癌患者,并在诊断至开始治疗期间通过门户发送消息。我们首先进行了主题建模分析,以生成门户消息的主要主题。随后,我们应用生存分析来了解消息中以语义词组表示的因素与从诊断到开始治疗所经过的时间之间的关联。我们发现,与医疗服务提供者咨询会增加开始治疗的可能性,而提及症状或负面情绪则显示可能性降低。