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开发并调整住院精神病学的安全事件分类法。

Developing and Aligning a Safety Event Taxonomy for Inpatient Psychiatry.

机构信息

From the Yale New Haven Psychiatric Hospital, New Haven, Connecticut.

出版信息

J Patient Saf. 2022 Jun 1;18(4):e704-e713. doi: 10.1097/PTS.0000000000000935.

Abstract

OBJECTIVE

The aim of this project was to develop and align an inpatient psychiatric safety event taxonomy that would blend well-established safety events with psychiatry-specific concerns.

METHODS

A hybrid inductive-deductive thematic analysis was used to generate novel descriptive safety event categories for inpatient psychiatry and align these categories with an established taxonomic framework. In the inductive phase, an initial taxonomy was developed by describing the semantic subject and context of reported safety concerns. In the deductive phase, existing literature, national standards, and local content experts were used to align our taxonomy with the safety event measurement system at our institution.

RESULTS

A total of 2291 events were extracted and 483 were analyzed. After thorough review, the data was divided into 4 domains: (1) Provision of care, (2) patient actions, (3) environment/equipment, and (4) safety culture. Each domain reflects a mutually exclusive typology of events and provides a parsimonious view of safety concerns in inpatient psychiatry. Each domain was further divided into categories, subcategories, and subcategory details.

CONCLUSIONS

Safety events on inpatient psychiatric units are understudied and lack the measurement infrastructure to identify care processes that result in exposure to harm. We develop and align an inpatient psychiatric safety taxonomy based on real-world data, existing literature, and measurement standards. This taxonomy can be used by psychiatric hospitals to improve their patient safety measurement systems-and ultimately-the safety of their patients and communities.

摘要

目的

本项目旨在开发和调整一个住院精神病学安全事件分类法,该分类法将融合成熟的安全事件和精神病学特有的关注点。

方法

采用混合归纳演绎主题分析方法,为住院精神病学生成新颖的描述性安全事件类别,并将这些类别与既定的分类框架对齐。在归纳阶段,通过描述报告的安全问题的语义主题和上下文,开发了一个初始的分类法。在演绎阶段,使用现有文献、国家标准和当地内容专家将我们的分类法与我们机构的安全事件测量系统对齐。

结果

共提取了 2291 个事件,分析了 483 个事件。经过彻底审查,数据分为 4 个领域:(1)护理提供,(2)患者行为,(3)环境/设备,和(4)安全文化。每个领域反映了相互排斥的事件类型,并提供了住院精神病学中安全问题的简洁视图。每个领域进一步分为类别、子类别和子类别细节。

结论

住院精神病病房的安全事件研究不足,缺乏识别导致伤害暴露的护理流程的测量基础设施。我们基于实际数据、现有文献和测量标准开发和调整了住院精神病学安全分类法。该分类法可用于精神病院改善其患者安全测量系统,并最终提高其患者和社区的安全性。

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