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

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-08-01 DOI:10.1093/ajcp/aqae015

Jiracha Jittapranerat, Wimol Chinswangwatanakul

{"title":"A 5-step root cause analysis model for test overutilization: A study on its application to plasma transferrin testing.","authors":"Jiracha Jittapranerat, Wimol Chinswangwatanakul","doi":"10.1093/ajcp/aqae015","DOIUrl":null,"url":null,"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.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11291954/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ajcp/aqae015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}

引用次数: 0

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.

查看原文本刊更多论文

检测过度使用的五步根本原因分析模型：血浆转铁蛋白测试应用研究。

目的：本研究旨在开发一个用于分析检验过度使用的根本原因分析（RCA）模型：本研究旨在建立一个针对试验过度使用的根本原因分析（RCA）模型，并将其应用于我院的转铁蛋白超额订购情况：方法：为建立系统的 RCA 模型，我们进行了一次全面的审查。结果：RCA 模型由 5 个步骤组成：RCA 模型包括 5 个步骤：(结果：RCA 模式包括 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；（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混淆了转铁蛋白和转铁蛋白饱和度，以及不熟悉实验室手册。信息图表减少了干预后临床医生（84.9%，P < .001）和护士（46.8%，P < .001）的转铁蛋白订购量：本研究提出了一个 5 步 RCA 模型，它提供了一种定制方法来识别检验过度使用的原因。将该模型应用于本机构的转铁蛋白，发现了 22 个主要的根本原因。我们鼓励实验室采用这一 RCA 模型，因为它有助于优化患者护理和提高资源分配效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464