University of Toronto, Toronto, Ontario, Canada.
Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
JCO Oncol Pract. 2020 Jul;16(7):e622-e629. doi: 10.1200/JOP.19.00551. Epub 2020 Feb 19.
Unplanned emergency department (ED) visits and hospitalizations are common during systemic cancer therapy. To determine how patients with cancer trade off treatment benefit with risk of experiencing an ED visit or hospitalization when deciding about systemic therapy, we undertook a discrete choice experiment.
Patients with breast, colorectal, or head and neck cancer contemplating, receiving, or having previously received systemic therapy were presented with 10 choice tasks (5 in the curative and 5 in the palliative setting) that varied on 3 attributes: benefit, risk of ED visit, and risk of hospitalization. Preferences for attributes and levels were measured using part-worth utilities, estimated using hierarchical Bayes analysis. Segmentation analysis was conducted to identify subgroups with different preferences.
A total of 293 patients completed the survey; most were female (76%), had breast cancer (63%), and were currently receiving systemic therapy (72%) with curative intent (59%). Benefit was the most important decision attribute regardless of treatment intent, followed by risk of hospitalization, then risk of ED visit. Two segments were observed: one large cluster exhibiting logical and consistent choices, and a smaller segment exhibiting illogical and inconsistent choices. Patients in the latter segment were more likely to have metastatic head and neck cancer, be male, were older, and reported fewer prior ED visits.
Although the risk of ED visit or hospitalization contributes to patient treatment preferences, benefit was the most important attribute. Segmentation suggests that a subset of patients may lack cognitive abilities, engagement, or literacy to consistently evaluate treatment choices. Understanding this subset may provide insight into patients' decision making and understanding of treatment options.
在全身癌症治疗过程中,计划外的急诊就诊和住院治疗很常见。为了确定癌症患者在决定接受全身治疗时如何权衡治疗获益与发生急诊就诊或住院的风险,我们进行了一项离散选择实验。
正在考虑、接受或之前接受过全身治疗的乳腺癌、结直肠癌或头颈部癌症患者,会被呈现 10 项选择任务(5 项在治疗环境中,5 项在姑息治疗环境中),这些任务在 3 个属性上有所不同:获益、急诊就诊风险和住院风险。使用部分价值效用来衡量对属性和水平的偏好,使用分层贝叶斯分析进行估计。进行细分分析以识别具有不同偏好的亚组。
共有 293 名患者完成了调查;大多数为女性(76%),患有乳腺癌(63%),目前正在接受全身治疗(72%),有治愈意图(59%)。无论治疗意图如何,获益都是最重要的决策属性,其次是住院风险,然后是急诊就诊风险。观察到两个细分市场:一个大的聚类表现出逻辑和一致的选择,一个较小的聚类表现出不合逻辑和不一致的选择。在后一个细分市场中,患者更有可能患有转移性头颈部癌症、为男性、年龄更大,并且报告的急诊就诊次数更少。
尽管急诊就诊或住院的风险会影响患者的治疗偏好,但获益是最重要的属性。细分表明,一部分患者可能缺乏认知能力、参与度或读写能力,无法始终如一地评估治疗选择。了解这一部分患者可能会深入了解患者的决策过程和对治疗方案的理解。