Robinson E J, Kerr C E P, Stevens A J, Lilford R J, Braunholtz D A, Edwards S J, Beck S R, Rowley M G
Department of Psychology, Keele University, UK.
Health Technol Assess. 2005 Mar;9(8):1-192, iii-iv. doi: 10.3310/hta9080.
To research the lay public's understanding of equipoise and randomisation in randomised controlled trials (RCTs) and to look at why information on this may not be not taken in or remembered, as well as the effects of providing information designed to overcome barriers.
Investigations were informed by an update of systematic review on patients' understanding of consent information in clinical trials, and by relevant theory and evidence from experimental psychology. Nine investigations were conducted with nine participants.
Access (return to education), leisure and vocational courses at Further Education Colleges in the Midlands, UK.
Healthy adults with a wide range of educational backgrounds and ages.
Participants read hypothetical scenarios and wrote brief answers to subsequent questions. Sub-samples of participants were interviewed individually to elaborate on their written answers. Participants' background assumptions concerning equipoise and randomisation were examined and ways of helping participants recognise the scientific benefits of randomisation were explored.
Judgments on allocation methods; treatment preferences; the acceptability of random allocation; whether or not individual doctors could be completely unsure about the best treatment; whether or not doctors should reveal treatment preferences under conditions of collective equipoise; and how sure experts would be about the best treatment following random allocation vs doctor/patient choice. Assessments of understanding hypothetical trial information.
Recent literature continues to report trial participants' failure to understand or remember information about randomisation and equipoise, despite the provision of clear and readable trial information leaflets. In current best practice, written trial information describes what will happen without offering accessible explanations. As a consequence, patients may create their own incorrect interpretations and consent or refusal may be inadequately informed. In six investigations, most participants identified which methods of allocation were random, but judged the random allocation methods to be unacceptable in a trial context; the mere description of a treatment as new was insufficient to engender a preference for it over a standard treatment; around half of the participants denied that a doctor could be completely unsure about the best treatment. A majority of participants judged it unacceptable for a doctor to suggest letting chance decide when uncertain of the best treatment, and, in the absence of a justification for random allocation, participants did not recognise scientific benefits of random allocation over normal treatment allocation methods. The pattern of results across three intervention studies suggests that merely supplementing written trial information with an explanation is unlikely to be helpful. However, when people manage to focus on the trial's aim of increasing knowledge (as opposed to making treatment decisions about individuals), and process an explanation actively, they may be helped to understand the scientific reasons for random allocation.
This research was not carried out in real healthcare settings. However, participants who could correctly identify random allocation methods, yet judged random allocation unacceptable, doubted the possibility of individual equipoise and saw no scientific benefits of random allocation over doctor/patient choice, are unlikely to draw upon contrasting views if invited to enter a real clinical trial. This suggests that many potential trial participants may have difficulty understanding and remembering trial information that conforms to current best practice in its descriptions of randomisation and equipoise. Given the extent of the disparity between the assumptions underlying trial design and the assumptions held by the lay public, the solution is unlikely to be simple. Nevertheless, the results suggest that including an accessible explanation of the scientific benefits of randomisation may be beneficial provided potential participants are also enabled to reflect on the trial's aim of advancing knowledge, and to think actively about the information presented. Further areas for consideration include: the identification of effective combinations of written and oral information; helping participants to reflect on the aim of advancing knowledge; and an evidence-based approach to leaflet construction.
研究普通公众对随机对照试验(RCT)中均衡性和随机化的理解,探讨为何关于这方面的信息可能未被接受或记住,以及提供旨在克服障碍的信息所产生的影响。
研究参考了关于患者对临床试验同意信息理解的系统评价更新内容,以及实验心理学的相关理论和证据。对9名参与者进行了9项调查。
英国中部地区继续教育学院的成人重返教育、休闲和职业课程。
具有广泛教育背景和年龄的健康成年人。
参与者阅读假设情景并对后续问题写出简短答案。对参与者子样本进行个别访谈,以详细阐述他们的书面答案。研究参与者关于均衡性和随机化的背景假设,并探索帮助参与者认识到随机化科学益处的方法。
对分配方法的判断;治疗偏好;随机分配的可接受性;个别医生是否可能对最佳治疗完全不确定;在集体均衡情况下医生是否应透露治疗偏好;以及随机分配与医生/患者选择后专家对最佳治疗的确定程度。对假设试验信息理解的评估。
尽管提供了清晰易读的试验信息手册,但近期文献仍不断报道试验参与者未能理解或记住关于随机化和均衡性的信息。在当前的最佳实践中,书面试验信息描述了将会发生的事情,但没有提供易懂的解释。因此,患者可能会产生自己的错误解读,同意或拒绝可能缺乏充分的信息依据。在6项调查中,大多数参与者能识别出哪些分配方法是随机的,但认为随机分配方法在试验背景下不可接受;仅仅将一种治疗描述为新的不足以使其比标准治疗更受青睐;约一半的参与者否认医生可能对最佳治疗完全不确定。大多数参与者认为医生在不确定最佳治疗时建议让机会决定是不可接受的,并且在没有随机分配理由的情况下,参与者没有认识到随机分配相对于常规治疗分配方法的科学益处。三项干预研究的结果模式表明,仅仅用解释来补充书面试验信息不太可能有帮助。然而,当人们设法专注于试验增加知识的目标(而不是对个体做出治疗决策)并积极处理解释时,他们可能会有助于理解随机分配的科学原因。
本研究并非在实际医疗环境中进行。然而,那些能够正确识别随机分配方法但认为随机分配不可接受、怀疑个体均衡性的可能性且未看到随机分配相对于医生/患者选择的科学益处的参与者,如果被邀请参加实际临床试验,不太可能接受不同观点。这表明许多潜在的试验参与者可能难以理解和记住符合当前随机化和均衡性描述最佳实践的试验信息。鉴于试验设计所依据的假设与普通公众所持假设之间存在巨大差异,解决方案不太可能简单。尽管如此,结果表明,只要能让潜在参与者思考试验推进知识的目标并积极思考所呈现的信息,提供对随机化科学益处的易懂解释可能是有益的。进一步需要考虑的领域包括:确定书面和口头信息的有效组合;帮助参与者思考推进知识的目标;以及基于证据的信息手册构建方法。