Conjoint Analysis: Overcoming Obstacles to Routine Formal Preference Assessment i

联合分析:克服常规正式偏好评估的障碍 i

基本信息

项目摘要

DESCRIPTION (provided by applicant): A man with localized prostate cancer faces a bewildering constellation of treatment options. Most of these options provide similar chances of survival, so the optimal choice for any particular individual is crucially dependant on the strength of his preferences for various clinical and non-clinical treatment characteristics. Helping these men identify their optimal treatment choice will reduce the burden of this illness on these men, part of the mission of the NIH. In research, measuring the strength of these preferences has traditionally been approached with several methods of "utility assessment." Unfortunately, each of these existing methods has significant limitations, ranging from basic concerns about validity to practical concerns regarding the cognitive burden placed on patients, which have presented barriers to their clinical use. Investigators in Marketing have also faced the challenge of characterizing individual preferences, albeit for goods and services, when designing new consumer products. In Marketing, "conjoint analysis" has emerged as a powerful methodology with which to characterize consumer preferences and to predict consumer purchasing behavior. Given its simplicity and predictive validity, this method may be a solution to limitations of existing preference assessment methods. We believe that conjoint analysis has potential to improve decisions in clinical settings. Our primary hypotheses are twofold. First, we hypothesize that conjoint analysis-based preference assessment and educational support will improve decision quality in men with prostate cancer as compared to educational support alone. Second, we hypothesize that conjoint analysis has superior construct validity in measuring the preferences of men with prostate cancer compared to traditional methods of preference assessment, specifically time trade-off and rating scale methods. To test these hypotheses, we will undertake two randomized controlled studies. This will be done by first recruiting men who have been treated for prostate cancer and identifying treatment attributes of importance to them. Based on these data, we will use established software platforms to develop preference assessment applications for conjoint analysis-based and traditional assessment methods, to be used in the randomized trials. One randomized trial using the conjoint analysis application will examine metrics of decision quality in men who undergo conjoint analysis, along with an educational intervention, compared with decision quality in men who undergo the educational intervention only. The second will compare criterion validity of these applications using metrics published in the literature This work is guided by the promise of eventually deploying point-of-care decision aids to improve the quality of decision making for men with prostate cancer. Public Health Relevance: This research aims to improve our ability to individualize prostate cancer care and improve decision quality for men with this disease. We will test whether a method taken from consumer marketing research can more accurately identify individual patients' values better than existing methods used in healthcare research. We will test whether use of this method improves the quality of the treatment decisions that are made by patients.
描述(由申请人提供):一名患有局限性前列腺癌的男子面临着一系列令人困惑的治疗选择。这些选择中的大多数提供了相似的生存机会,因此任何特定个体的最佳选择关键取决于他对各种临床和非临床治疗特征的偏好。帮助这些人确定他们的最佳治疗选择将减少这种疾病对这些人的负担,这是国家卫生研究院使命的一部分。在研究中,测量这些偏好的强度传统上采用了几种“效用评估”方法。“不幸的是,这些现有的方法都有很大的局限性,从对有效性的基本担忧到对患者认知负担的实际担忧,这些都给它们的临床应用带来了障碍。市场营销研究人员在设计新的消费品时,也面临着描述个人偏好的挑战,尽管是对商品和服务。在市场营销中,“联合分析”已经成为一种强有力的方法,可以用来描述消费者的偏好并预测消费者的购买行为。鉴于其简单性和预测有效性,该方法可能是一个解决现有的偏好评估方法的局限性。我们相信,联合分析有潜力改善临床决策。我们的主要假设是双重的。首先,我们假设,联合分析为基础的偏好评估和教育支持,将提高决策质量的男性前列腺癌相比,教育支持。其次,我们假设联合分析在测量前列腺癌男性患者的偏好方面具有上级结构效度,优于传统的偏好评估方法,特别是时间权衡和评级量表方法。为了验证这些假设,我们将进行两项随机对照研究。这将通过首先招募接受过前列腺癌治疗的男性并确定对他们重要的治疗属性来完成。基于这些数据,我们将使用已建立的软件平台开发基于联合分析和传统评估方法的偏好评估应用程序,用于随机试验。一项使用联合分析应用程序的随机试验将检查接受联合分析的男性的决策质量指标,沿着教育干预,与仅接受教育干预的男性的决策质量进行比较。第二个将使用文献中发表的指标比较这些应用程序的标准有效性。这项工作的指导是最终部署床旁决策辅助工具以提高前列腺癌男性决策质量的承诺。公共卫生相关性:这项研究旨在提高我们个性化前列腺癌护理的能力,并提高患有这种疾病的男性的决策质量。我们将测试一种来自消费者营销研究的方法是否能比医疗保健研究中使用的现有方法更准确地识别个体患者的价值。我们将测试使用这种方法是否能提高患者做出的治疗决定的质量。

项目成果

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Christopher Saigal其他文献

Christopher Saigal的其他文献

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{{ truncateString('Christopher Saigal', 18)}}的其他基金

Conjoint Analysis: Overcoming Obstacles to Routine Formal Preference Assessment i
联合分析:克服常规正式偏好评估的障碍 i
  • 批准号:
    8534036
  • 财政年份:
    2009
  • 资助金额:
    $ 31.96万
  • 项目类别:
Conjoint Analysis: Overcoming Obstacles to Routine Formal Preference Assessment i
联合分析:克服常规正式偏好评估的障碍 i
  • 批准号:
    8192934
  • 财政年份:
    2009
  • 资助金额:
    $ 31.96万
  • 项目类别:
Conjoint Analysis: Overcoming Obstacles to Routine Formal Preference Assessment i
联合分析:克服常规正式偏好评估的障碍 i
  • 批准号:
    8323342
  • 财政年份:
    2009
  • 资助金额:
    $ 31.96万
  • 项目类别:

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