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检测过度使用的五步根本原因分析模型:关于其在血浆转铁蛋白检测中的应用研究

A 5-step root cause analysis model for test overutilization: A study on its application to plasma transferrin testing.

作者信息

Jittapranerat Jiracha, Chinswangwatanakul Wimol

机构信息

Department of Clinical Pathology, Faculty of Medicine Siriraj Hospital, Mahidol University, Nakhon Pathom, Thailand.

出版信息

Am J Clin Pathol. 2024 Aug 1;162(2):160-166. doi: 10.1093/ajcp/aqae015.

Abstract

OBJECTIVES

This study aimed to develop a root cause analysis (RCA) model for test overutilization, applying it to transferrin overordering at our institution.

METHODS

A comprehensive review was undertaken to establish a systematic RCA model. Upon implementation, the questionnaire identifying the root causes of transferrin overordering with infographic intervention was distributed to clinicians and nurses.

RESULTS

The RCA model comprises 5 steps: (1) problem identification, (2) causal factor determination, (3) data collection, (4) significant factor identification, and (5) corrective action development and outcome measurement. The major causes of transferrin overutilization were confusion between transferrin and transferrin saturation, as well as unfamiliarity with the laboratory handbook. An infographic reduced postintervention transferrin ordering among clinicians (84.9%, P < .001) and nurses (46.8%, P < .001).

CONCLUSIONS

This study presents a 5-step RCA model that offers a customized method to identify the causes of test overutilization. Applying this model to transferrin at our institution revealed 22 leading root causes. Laboratories are encouraged to adopt this RCA model as it can contribute to optimized patient care and more efficient resource allocation.

摘要

目的

本研究旨在开发一种针对检查过度使用的根本原因分析(RCA)模型,并将其应用于我们机构中转铁蛋白的过量订购情况。

方法

进行了全面的综述以建立系统的RCA模型。实施后,向临床医生和护士发放了通过信息图干预来确定转铁蛋白过量订购根本原因的问卷。

结果

RCA模型包括5个步骤:(1)问题识别,(2)因果因素确定,(3)数据收集,(4)重要因素识别,以及(5)纠正措施制定和结果测量。转铁蛋白过度使用的主要原因是转铁蛋白和转铁蛋白饱和度之间的混淆,以及对实验室手册不熟悉。信息图减少了临床医生(84.9%,P < .001)和护士(46.8%,P < .001)干预后转铁蛋白的订购量。

结论

本研究提出了一个5步RCA模型,该模型提供了一种定制方法来识别检查过度使用的原因。将该模型应用于我们机构的转铁蛋白情况,发现了22个主要根本原因。鼓励实验室采用这种RCA模型,因为它有助于优化患者护理和更有效地分配资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85de/11291954/80589a7ec453/aqae015_fig1.jpg

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