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How should patient decision aids for schizophrenia treatment be designed? - A scoping review

决策辅助工具 背景(考古学) 决策质量 决策支持系统 家长主义 心理学 精神分裂症(面向对象编程) 决策分析 证据推理法 介绍(产科) R型铸件 管理科学 计算机科学 医学 商业决策图 精神科 人工智能 患者满意度 护理部 替代医学 工程类 数学 政治学 法学 古生物学 病理 放射科 统计 生物
作者
Katharina Müller,Florian Schuster,Alessandro Rodolico,Spyridon Siafis,Stefan Leucht,Johannes Hamann
出处
期刊:Schizophrenia Research [Elsevier BV]
卷期号:255: 261-273 被引量:7
标识
DOI:10.1016/j.schres.2023.03.025
摘要

Despite the clear rationale for applying shared decision-making in the context of the preference sensitive decision for or against antipsychotics and the upswing of patient decision aids (pDAs) to support this process, there is still a lack of knowledge regarding which key features are crucial for pDAs in schizophrenia treatment. A scoping review according to the PRISMA-SRc was conducted to inform on crucial key features and quality indicators. The review focussed on the following seven aspects for investigating pDAs: (1) Types of decision aids, (2) Values, (3) Decision Guidance, (4) Output of the decision aid, (5) Target group, (6) Effectiveness according to publication and (7) Decision aid evaluation. Eleven studies which addressed six unique decision aids met the eligibility criteria. There were major differences in the design as well as in the development of the decision aids. Three aspects emerged that should be given special consideration in the design of such tools for antipsychotics: the evidence used by the decision aid, the algorithm for translating evidence into a decision aid and finally the presentation of the evidence. We recommend the use of data with a high level of evidence and to combine it with individualized treatment by taking into account patient preferences and previous experiences as well as comparing them with clinical assessments. Fully computerized decision aids that use complicated algorithms, for example, by merging treatment effects with patient characteristics to suggest an appropriate treatment at the end, tend to be paternalistic and thus not appropriate for SDM, in our view. In addition, possible cognitive deficits need to be considered when presenting the output of decision aids for antipsychotics.

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