Predictors of preferences and utilities in men treated with 3D-CRT for prostate cancer
Predictors of preferences and utilities in men treated with 3D-CRT for prostate cancer
复制标题
DOI：
10.1016/s0360-3016(03)01434-2
复制
发表时间：
2004-01-01
影响因子：
7
通讯作者：
Pollack, A
中科院分区：
文献类型：
--
作者：
Bruner, DW;Hanlon, A;Pollack, A
目的：评估接受三维适形放射治疗的男性患者对前列腺癌健康状况的偏好和效用以及治疗偏好的预测因子。方法和材料：采用改良的时间权衡访谈，从前列腺癌登记参与者那里获得前列腺癌治疗相关的阳萎和大小便失禁概率健康状况的偏好和效用。结果：57名接受三维适形放射治疗的男性患者完成了时间权衡访谈。在这些男性中，83%的人处于T1-T2期，30%的人正在接受激素治疗。公用事业公司遵循线性趋势，健康状况较差的风险增加得分下降。与手术或激素治疗相比，男性更倾向于与放射治疗相关的健康状态。偏好的单变量预测因素包括收入和婚姻状况。偏好的多变量预测因素包括更积极的治疗和更好的预后指标。目前的生活质量评分在整体、性或排尿功能方面不能很好地预测患者的偏好。结论：偏好启发可以帮助决策，了解患者偏好的预测因素可以帮助识别可能增加患者对较差结果的感知的因素。(C)2004年爱思唯尔公司。
Purpose: To assess the preferences and utilities for prostate cancer health state scenarios of men treated with three-dimensional conformal radiotherapy and the predictors of treatment preferences.Methods and Materials: The preferences and utilities for probabilistic health states of impotence and incontinence associated with prostate cancer therapies were elicited from prostate cancer registry participants using a modified time trade-off interview. Sociodemographic, disease, and treatment characteristics, as well as quality-of-life scores, were assessed to determine the predictors of preferences.Results: Fifty-seven men treated with three-dimensional conformal radiotherapy completed the time trade-off interview. Of these men, 83% had Stage T1-T2 and 30% were receiving hormonal therapy. The utilities followed a linear trend with declining scores for increasing risk of poorer health states. Men showed an increased preference for health states associated with radiotherapy compared with surgery or hormonal therapy. Univariate predictors of preference included income and marital status. Multivariate predictors of preferences included more aggressive therapy and better prognostic indicators. Current quality-of-life scores in terms of global, sexual, or urinary function were poor predictors of preferences.Conclusion: Preference elicitation can assist in decision-making, and understanding the predictors of patient preferences can assist in identifying factors that may increase patient perceptions of poorer outcomes. (C) 2004 Elsevier Inc.