NHS Direct, London, UK.
Health Expect. 2012 Mar;15(1):32-48. doi: 10.1111/j.1369-7625.2010.00651.x. Epub 2011 Jan 18.
Evidence suggests that in decision contexts characterized by uncertainty and time constraints (e.g. health-care decisions), fast and frugal decision-making strategies (heuristics) may perform better than complex rules of reasoning.
To examine whether it is possible to design deliberation components in decision support interventions using simple models (fast and frugal heuristics).
The 'Take The Best' heuristic (i.e. selection of a 'most important reason') and 'The Tallying' integration algorithm (i.e. unitary weighing of pros and cons) were used to develop two deliberation components embedded in a Web-based decision support intervention for women facing amniocentesis testing. Ten researchers (recruited from 15), nine health-care providers (recruited from 28) and ten pregnant women (recruited from 14) who had recently been offered amniocentesis testing appraised evolving versions of 'your most important reason' (Take The Best) and 'weighing it up' (Tallying).
Most researchers found the tools useful in facilitating decision making although emphasized the need for simple instructions and clear layouts. Health-care providers however expressed concerns regarding the usability and clarity of the tools. By contrast, 7 out of 10 pregnant women found the tools useful in weighing up the pros and cons of each option, helpful in structuring and clarifying their thoughts and visualizing their decision efforts. Several pregnant women felt that 'weighing it up' and 'your most important reason' were not appropriate when facing such a difficult and emotional decision.
Theoretical approaches based on fast and frugal heuristics can be used to develop deliberation tools that provide helpful support to patients facing real-world decisions about amniocentesis.
有证据表明,在具有不确定性和时间限制的决策情境中(例如医疗保健决策),快速而简约的决策策略(启发式)可能比复杂的推理规则表现更好。
研究是否可以使用简单的模型(快速而简约的启发式)来设计决策支持干预措施中的审议组件。
使用“择优选择”启发式(即选择“最重要的原因”)和“计数整合算法”(即对利弊进行统一权衡),开发了两个审议组件,嵌入在一个基于网络的决策支持干预措施中,用于面临羊膜穿刺术测试的女性。十位研究人员(从 15 位中招募)、九位医疗保健提供者(从 28 位中招募)和十位孕妇(从 14 位中招募)最近被提供羊膜穿刺术测试,他们评估了“您最重要的原因”(择优选择)和“权衡利弊”(计数整合算法)的不断发展的版本。
尽管大多数研究人员认为这些工具有助于促进决策,但他们强调需要简单的说明和清晰的布局。然而,医疗保健提供者对工具的可用性和清晰度表示担忧。相比之下,7 位孕妇中有 10 位发现这些工具有助于权衡每个选项的利弊,有助于组织和澄清他们的想法,并可视化他们的决策努力。一些孕妇认为,在面临如此困难和情绪化的决策时,“权衡利弊”和“您最重要的原因”并不合适。
基于快速而简约启发式的理论方法可以用于开发审议工具,为面临羊膜穿刺术等实际决策的患者提供有帮助的支持。