患者报告结局的反应性和最小重要差异
Responsiveness and minimal important differences for patient reported outcomes.
作者信息
Revicki Dennis A, Cella David, Hays Ron D, Sloan Jeff A, Lenderking William R, Aaronson Neil K
机构信息
Center for Health Outcomes Research, United Biosource Corporation, 7101 Wisconsin Ave., Suite 600, Bethesda, MD 20814, USA.
出版信息
Health Qual Life Outcomes. 2006 Sep 27;4:70. doi: 10.1186/1477-7525-4-70.
Patient reported outcomes provide the patient's perspective on the effectiveness of treatment. The draft Food and Drug Administration guidance on patient reported outcomes for labeling and promotional claims raises a number of method and measurement issues that require further clarification, including methods of determining responsiveness and minimal important differences. For clinical trials, instruments need to be based on a clear conceptual framework, have evidence supporting content validity and acceptable psychometric qualities. The measures must also have evidence documenting responsiveness and interpretation guidelines (i.e., minimal important difference) to be most useful as effectiveness endpoints in clinical trials. The recommended approach is to estimate the minimal important difference based on several anchor-based methods, with relevant clinical or patient-based indicators, and to examine various distribution-based estimates (i.e., effect size, standardized response mean, standard error of measurement) as supportive information, and then to triangulate on a single value or small range of values for the MID. Confidence in a specific MID value evolves over time and is confirmed by additional research evidence, including clinical trial experience. The MID may vary by population and context, and no one MID will be valid for all study applications involving a PRO instrument. Responsiveness and MID must be demonstrated and documented for the particular study population, and these measurement characteristics are needed for PRO labeling and promotional claims.
患者报告的结局提供了患者对治疗效果的看法。美国食品药品监督管理局关于用于标签和宣传声明的患者报告结局的指导草案提出了一些方法和测量问题,需要进一步阐明,包括确定反应性和最小重要差异的方法。对于临床试验,工具需要基于清晰的概念框架,有支持内容效度和可接受心理测量学质量的证据。这些测量方法还必须有记录反应性和解释指南(即最小重要差异)的证据,才能作为临床试验中最有用的有效性终点。推荐的方法是基于几种基于锚定的方法,结合相关的临床或基于患者的指标来估计最小重要差异,并检查各种基于分布的估计值(即效应大小、标准化反应均值、测量标准误差)作为支持性信息,然后对最小重要差异的单个值或小范围值进行三角测量。对特定最小重要差异值的信心会随着时间的推移而发展,并通过包括临床试验经验在内的更多研究证据得到证实。最小重要差异可能因人群和背景而异,没有一个最小重要差异值对所有涉及患者报告结局工具的研究应用都是有效的。必须针对特定的研究人群证明并记录反应性和最小重要差异,而这些测量特征是患者报告结局标签和宣传声明所必需的。
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