首发精神病服务忠实度量表1.0:回顾与更新

D. Addington
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引用次数: 7

摘要

首次发布于2016年的《首发精神病保真度量表》基于系统审查和国际共识过程确定的基本组成部分清单。本文的目的是介绍该量表的FEPS-FS 1.0版本,回顾检查该量表的研究结果,并为每个组成部分及其评级提供最新的证据。首发精神病服务保真度量表1.0有35个组成部分,对早期精神病治疗团队提供的医疗服务的获取和质量进行评估。25个组件评估服务组件,15个组件评估团队功能。每个组件的评分为1-5分,4分是满意的。服务组成部分描述的是患者获得的服务,而不是工作人员的活动。保真度评级员根据管理数据、健康记录审查和访谈完成评级。来自两个多中心研究的保真度评分者提供了对成分定义和评分的清晰度和准确性的反馈。当由训练有素的评价者管理时,量表显示出良好到优异的评价者之间的信度。成分的选择可以调整,以评估服务于双相情感障碍或轻度精神病综合征患者的项目。该量表可用于评估和提高个别节目的质量,比较节目和节目网络。研究人员可以使用量表作为实施研究的结果测量,作为结果研究的过程测量。未来的研究应侧重于证明预测效度。
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The First Episode Psychosis Services Fidelity Scale 1.0: Review and Update
The First Episode Psychosis Fidelity Scale, first published in 2016, is based on a list of essential components identified by systematic reviews and an international consensus process. The purpose of this paper was to present the FEPS-FS 1.0 version of the scale, review the results of studies that have examined the scale and provide an up-to-date review of evidence for each component and its rating. The First Episode Psychosis Services Fidelity Scale 1.0 has 35 components, which rate access and quality of health care delivered by early psychosis teams. Twenty-five components rate service components, and 15 components rate team functioning. Each component is rated on a 1–5 scale, and a rating of 4 is satisfactory. The service components describe services received by patients rather than staff activity. The fidelity rater completes ratings based on administrative data, health record review, and interviews. Fidelity raters from two multicenter studies provided feedback on the clarity and precision of component definitions and ratings. When administered by trained raters, the scale demonstrated good to excellent interrater reliability. The selection of components can be adjusted to rate programs serving patients with bipolar disorder or an attenuated psychosis syndrome. The scale can be used to assess and improve the quality of individual programs, compare programs and program networks. Researchers can use the scale as an outcome measure for implementation studies and as a process measure for outcome studies. Future research should focus on demonstrating predictive validity.
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