Spring Bonnie
Feinberg School of Medicine, Northwestern University, Chicago, Illinois, and Hines Hospital VA Medical Center, Chicago, Illinois 60611, USA.
Med Decis Making. 2008 Nov-Dec;28(6):866-74. doi: 10.1177/0272989X08326146. Epub 2008 Nov 17.
Health decision making is both the lynchpin and the least developed aspect of evidence-based practice. The evidence-based practice process requires integrating the evidence with consideration of practical resources and patient preferences and doing so via a process that is genuinely collaborative. Yet, the literature is largely silent about how to accomplish integrative, shared decision making.
for evidence-based practice are discussed for 2 theories of clinician decision making (expected utility and fuzzy trace) and 2 theories of patient health decision making (transtheoretical model and reasoned action). Three suggestions are offered. First, it would be advantageous to have theory-based algorithms that weight and integrate the 3 data strands (evidence, resources, preferences) in different decisional contexts. Second, patients, not providers, make the decisions of greatest impact on public health, and those decisions are behavioral. Consequently, theory explicating how provider-patient collaboration can influence patient lifestyle decisions made miles from the provider's office is greatly needed. Third, although the preponderance of data on complex decisions supports a computational approach, such an approach to evidence-based practice is too impractical to be widely applied at present. More troublesomely, until patients come to trust decisions made computationally more than they trust their providers' intuitions, patient adherence will remain problematic. A good theory of integrative, collaborative health decision making remains needed.
健康决策既是循证实践的关键,也是其发展最不完善的方面。循证实践过程要求将证据与实际资源及患者偏好的考量相结合,并通过真正协作的过程来实现。然而,关于如何完成综合的、共同的决策,文献中大多未提及。
针对临床医生决策的两种理论(期望效用和模糊痕迹)以及患者健康决策的两种理论(跨理论模型和理性行动),探讨了其对循证实践的启示。提出了三点建议。首先,拥有基于理论的算法,在不同决策背景下对这三个数据链(证据、资源、偏好)进行加权和整合,会很有帮助。其次,对公共卫生影响最大的决策是由患者而非医疗服务提供者做出的,且这些决策是行为性的。因此,迫切需要有理论来阐明医患合作如何能影响患者在远离医疗服务提供者办公室的情况下做出的生活方式决策。第三,虽然关于复杂决策的大量数据支持计算方法,但这种循证实践方法目前过于不切实际,无法广泛应用。更麻烦的是,在患者开始比信任医疗服务提供者的直觉更信任通过计算做出的决策之前,患者的依从性仍将是个问题。仍然需要一个关于综合的、协作的健康决策的良好理论。