King M, Nazareth I, Lampe F, Bower P, Chandler M, Morou M, Sibbald B, Lai R
Department of Mental Health Sciences, Royal Free and University College Medical School, London, UK.
Health Technol Assess. 2005 Sep;9(35):1-186, iii-iv. doi: 10.3310/hta9350.
To develop a conceptual framework of preferences for interventions in the context of randomised controlled trials (RCTs), as well as to examine the extent to which preferences affect recruitment to RCTs and modify the measured outcome in RCTs through a systematic review of RCTs that incorporated participants' and professionals' preferences. Also to make recommendations on the role of participants' and professionals' preferences in the evaluation of health technologies.
Electronic databases.
The conceptual review was carried out on published papers in the psychology and economics literature concerning concepts of relevance to patient decision-making and preferences, and their measurement. For the systematic review, studies across all medical specialities meeting strict criteria were selected. Data were then extracted, synthesised and analysed.
Key elements for a conceptual framework were found to be that preferences are evaluations of an intervention in terms of its desirability and these preferences relate to expectancies and perceived value of the process and outcome of interventions. RCTs differed in the information provided to patients, the complexity of techniques used to provide that information and the degree to which preference elicitation may simply produce pre-existing preferences or actively construct them. Most current RCTs used written information alone. Preference can be measured in many different ways and most RCTs did not provide quantitative measures of preferences, and those that did tended to use very simple measures. The second part of the study, the systematic review included 34 RCTs. The findings gave support to the hypothesis that preferences affect trial recruitment. However, there was less evidence that external validity was seriously compromised. There was some evidence that preferences influenced outcome in a proportion of trials. However, evidence for preference effects was weaker in large trials and after accounting for baseline differences. Preference effects were also inconsistent in direction. There was no evidence that preferences influenced attrition. Therefore, the available evidence does not support the operation of a consistent and important 'preference effect'. Interventions cannot be categorised consistently on degree of participation. Examining differential preference effects based on unreliable categories ran the risk of drawing incorrect conclusions, so this was not carried out.
Although patients and physicians often have intervention preferences, our review gives less support to the hypothesis that preferences significantly compromise the internal and external validity of trials. This review adds to the growing evidence that when preferences based on informed expectations or strong ethical objections to an RCT exist, observational methods are a valuable alternative. All RCTs in which participants and/or professionals cannot be masked to treatment arms should attempt to estimate participants' preferences. In this way, the amount of evidence available to answer questions about the effect of treatment preferences within and outwith RCTs could be increased. Furthermore, RCTs should routinely attempt to report the proportion of eligible patients who refused to take part because of their preferences for treatment. The findings also indicate a number of approaches to the design, conduct and analysis of RCTs that take account of participants' and/or professionals' preferences. This is referred to as a methodological tool kit for undertaking RCTs that incorporate some consideration of patients' or professionals' preferences. Future research into the amount and source of information available to patients about interventions in RCTs could be considered, with special emphasis on the relationship between sources inside and outside the RCT context. Qualitative research undertaken as part of ongoing RCTs might be especially useful. The processes by which this information leads to preferences in order to develop or extend the proposed expectancy--value framework could also be examined. Other areas for consideration include: how information about interventions changes participants' preferences; a comparison of the feasibility and effectiveness of different informed consent procedures; how strength of preference varies for different interventions within the same RCT and how these differences can be taken account of in the analysis; the differential effects of patients' and professionals' preferences on evidence arising from RCTs; and whether the standardised measurement of preferences within all RCTs (and analysis of the effect on outcome) would allow the rapid development of a significant evidence base concerning patient preferences, albeit in relation to a single preference design.
构建一个在随机对照试验(RCT)背景下干预措施偏好的概念框架,并通过对纳入参与者和专业人员偏好的RCT进行系统评价,研究偏好对RCT招募的影响程度以及如何改变RCT中测量的结果。同时就参与者和专业人员偏好在卫生技术评估中的作用提出建议。
电子数据库。
对心理学和经济学文献中已发表的与患者决策和偏好概念及其测量相关的论文进行概念性综述。对于系统评价,选择了符合严格标准的所有医学专业的研究。然后提取、综合和分析数据。
发现概念框架的关键要素是,偏好是对干预措施可取性的评估,这些偏好与干预过程和结果的预期及感知价值相关。RCT在向患者提供的信息、提供该信息所使用技术的复杂性以及偏好诱导可能只是产生预先存在的偏好还是积极构建偏好的程度方面存在差异。大多数当前的RCT仅使用书面信息。偏好可以通过多种不同方式测量,大多数RCT没有提供偏好的定量测量,而那些提供了定量测量的往往使用非常简单的测量方法。研究的第二部分,即系统评价包括34项RCT。研究结果支持了偏好影响试验招募这一假设。然而,较少有证据表明外部有效性受到严重损害。有一些证据表明偏好在一部分试验中影响了结果。然而,在大型试验中以及在考虑基线差异后,偏好效应的证据较弱。偏好效应在方向上也不一致。没有证据表明偏好影响损耗。因此,现有证据不支持存在一致且重要的“偏好效应”这一观点。干预措施不能根据参与程度进行一致分类。基于不可靠类别检查差异偏好效应有得出错误结论的风险,因此未进行此项检查。
尽管患者和医生通常有干预偏好,但我们的综述对偏好会显著损害试验的内部和外部有效性这一假设的支持较少。这项综述增加了越来越多的证据,即当基于知情期望或对RCT有强烈伦理反对意见而存在偏好时,观察性方法是一种有价值的替代方法。所有参与者和/或专业人员不能对治疗组进行盲法的RCT都应尝试估计参与者的偏好。通过这种方式,可以增加用于回答RCT内外关于治疗偏好影响问题的证据量。此外,RCT应常规尝试报告因对治疗的偏好而拒绝参与的合格患者比例。研究结果还指出了一些在设计、实施和分析RCT时考虑参与者和/或专业人员偏好的方法。这被称为进行考虑了患者或专业人员偏好的RCT的方法工具包。可以考虑对RCT中患者可获得的关于干预措施的信息量和来源进行未来研究,特别强调RCT背景内外来源之间的关系。作为正在进行的RCT的一部分进行的定性研究可能特别有用。还可以研究这些信息导致偏好从而发展或扩展所提出的预期 - 价值框架的过程。其他需要考虑的领域包括:关于干预措施的信息如何改变参与者的偏好;不同知情同意程序的可行性和有效性比较;在同一RCT中不同干预措施的偏好强度如何变化以及在分析中如何考虑这些差异;患者和专业人员偏好对RCT产生的证据的不同影响;以及在所有RCT中对偏好进行标准化测量(以及对结果影响的分析)是否会允许迅速建立一个关于患者偏好的重要证据基础,尽管是关于单一偏好设计。