Review of current incidents and risk calculations used in the Royal College of Australasian Pathologists Key Incident Management and Monitoring Systems - a system that could be used by all Australasian medical laboratories, and easily adapted to worldwide use.

IF 3.8 3区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY Biochemia Medica Pub Date : 2022-02-15 Epub Date: 2021-12-15 DOI:10.11613/BM.2022.010702
Stephanie Gay, Belinda Pope, Tony Badrick, Michael Whiley
{"title":"Review of current incidents and risk calculations used in the Royal College of Australasian Pathologists Key Incident Management and Monitoring Systems - a system that could be used by all Australasian medical laboratories, and easily adapted to worldwide use.","authors":"Stephanie Gay,&nbsp;Belinda Pope,&nbsp;Tony Badrick,&nbsp;Michael Whiley","doi":"10.11613/BM.2022.010702","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The Royal College of Pathologists of Australasia Quality Assurance Programs (RCPAQAP) Key Incident Monitoring and Management Systems (KIMMS) program has found that some existing Quality Indicators are too broad or not well defined. The risk matrix in use does not allow changes in incident Detection or Probability. In 2020, a review was performed: what issues should KIMMS include as Key Incidents and how could risk measurement be improved?</p><p><strong>Materials and methods: </strong>Twenty-seven networked and stand-alone laboratories enrolled in KIMMS during 2020 were surveyed on 45 current and new indicators of risk in the total testing process. They were asked which indicators they considered were significant in causing patient harm. Existing risk matrices in use by members of the KIMMS Advisory Committee laboratories were reviewed regarding their size or structure (3x3 or 5x5) and the descriptions of consequences and probability.</p><p><strong>Results: </strong>Thirteen participants indicated 21 indicators should be monitored, and the KIMMS Advisory committee added a further 13 (11 from the remaining 24 and 2 new). Of the five risk matrices reviewed, all consistently used a 5x5 matrix to estimate Consequences <i>vs</i> Probability of harm. The KIMMS advisory committee added a third parameter to the calculation of Risk, Detectability.</p><p><strong>Conclusion: </strong>All 34 pre- and post- indicators should be monitored, covering all aspects of the total testing cycle other than analytical. The risk measurement can be improved by introducing a 5x5 risk matrix to evaluate harm (consequences x probability) and then evaluating risk by adding detectability; risk equals harm x detectability.</p>","PeriodicalId":9021,"journal":{"name":"Biochemia Medica","volume":"32 1","pages":"010702"},"PeriodicalIF":3.8000,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672387/pdf/","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemia Medica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.11613/BM.2022.010702","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/12/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 1

Abstract

Introduction: The Royal College of Pathologists of Australasia Quality Assurance Programs (RCPAQAP) Key Incident Monitoring and Management Systems (KIMMS) program has found that some existing Quality Indicators are too broad or not well defined. The risk matrix in use does not allow changes in incident Detection or Probability. In 2020, a review was performed: what issues should KIMMS include as Key Incidents and how could risk measurement be improved?

Materials and methods: Twenty-seven networked and stand-alone laboratories enrolled in KIMMS during 2020 were surveyed on 45 current and new indicators of risk in the total testing process. They were asked which indicators they considered were significant in causing patient harm. Existing risk matrices in use by members of the KIMMS Advisory Committee laboratories were reviewed regarding their size or structure (3x3 or 5x5) and the descriptions of consequences and probability.

Results: Thirteen participants indicated 21 indicators should be monitored, and the KIMMS Advisory committee added a further 13 (11 from the remaining 24 and 2 new). Of the five risk matrices reviewed, all consistently used a 5x5 matrix to estimate Consequences vs Probability of harm. The KIMMS advisory committee added a third parameter to the calculation of Risk, Detectability.

Conclusion: All 34 pre- and post- indicators should be monitored, covering all aspects of the total testing cycle other than analytical. The risk measurement can be improved by introducing a 5x5 risk matrix to evaluate harm (consequences x probability) and then evaluating risk by adding detectability; risk equals harm x detectability.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
回顾澳大拉西亚皇家学院病理学家关键事件管理和监测系统中使用的当前事件和风险计算-该系统可用于所有澳大拉西亚医学实验室,并易于适应全球使用。
导言:澳大利亚皇家病理学家学院质量保证计划(RCPAQAP)关键事件监测和管理系统(KIMMS)项目发现,一些现有的质量指标过于宽泛或定义不清。使用中的风险矩阵不允许对事件检测或概率进行更改。2020年,进行了一次审查:KIMMS应包括哪些问题作为关键事件,以及如何改进风险测量?材料和方法:对2020年在KIMMS注册的27个网络和独立实验室进行了调查,调查了整个测试过程中45个当前和新的风险指标。他们被问及他们认为哪些指标会对患者造成重大伤害。对KIMMS咨询委员会实验室成员使用的现有风险矩阵的大小或结构(3x3或5x5)以及后果和概率的描述进行了审查。结果:13名参与者提出了21项指标需要监测,KIMMS咨询委员会又增加了13项(其余24项中的11项和2项新指标)。在审查的五个风险矩阵中,所有矩阵都一致使用5x5矩阵来估计危害的后果与概率。KIMMS咨询委员会在风险计算中增加了第三个参数——可探测性。结论:34项前后指标均应进行监测,监测内容应涵盖除分析外的整个检测周期的各个方面。可以通过引入5x5风险矩阵来评估危害(后果x概率),然后通过添加可检测性来评估风险,从而改进风险测量;风险等于伤害x可检测性。
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 去求助
来源期刊
Biochemia Medica
Biochemia Medica 医学-医学实验技术
CiteScore
5.50
自引率
3.00%
发文量
70
审稿时长
>12 weeks
期刊介绍: Biochemia Medica is the official peer-reviewed journal of the Croatian Society of Medical Biochemistry and Laboratory Medicine. Journal provides a wide coverage of research in all aspects of clinical chemistry and laboratory medicine. Following categories fit into the scope of the Journal: general clinical chemistry, haematology and haemostasis, molecular diagnostics and endocrinology. Development, validation and verification of analytical techniques and methods applicable to clinical chemistry and laboratory medicine are welcome as well as studies dealing with laboratory organization, automation and quality control. Journal publishes on a regular basis educative preanalytical case reports (Preanalytical mysteries), articles dealing with applied biostatistics (Lessons in biostatistics) and research integrity (Research integrity corner).
期刊最新文献
Quality assurance of add-on testing in plasma samples: stability limit for 29 biochemical analytes Two cases with discrepancy in the quantitative cytological assessment of cerebrospinal fluid in neonatal samples using light microscopy in comparison with Sysmex XN-1000 Common P-glycoprotein () polymorphisms do not seem to be associated with the risk of rivaroxaban-related bleeding events: Preliminary data CLSI-based verification and establishment of reference intervals for common biochemical assays in Croatian newborns Prediction interval: A powerful statistical tool for monitoring patients and analytical systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1