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如何解决实验室质量问题?过程指标、实验室管理、结果问题、风险评估和经济价值:应对当代全球挑战。

What's to Be Done About Laboratory Quality? Process Indicators, Laboratory Stewardship, the Outcomes Problem, Risk Assessment, and Economic Value: Responding to Contemporary Global Challenges.

机构信息

Ann Arbor, MI.

Bond University, Biomedical Science, RCPAQAP, St Leonards, Sydney, Australia.

出版信息

Am J Clin Pathol. 2018 Feb 17;149(3):186-196. doi: 10.1093/ajcp/aqx135.

Abstract

OBJECTIVES

For 50 years, structure, process, and outcomes measures have assessed health care quality. For clinical laboratories, structural quality has generally been assessed by inspection. For assessing process, quality indicators (QIs), statistical monitors of steps in the clinical laboratory total testing, have proliferated across the globe. Connections between structural and process laboratory measures and patient outcomes, however, have rarely been demonstrated.

METHODS

To inform further development of clinical laboratory quality systems, we conducted a selective but worldwide review of publications on clinical laboratory quality assessment.

RESULTS

Some QIs, like seven generic College of American Pathologists Q-Tracks monitors, have demonstrated significant process improvement; other measures have uncovered critical opportunities to improve test selection and result management. The College of Pathologists of Australasia Key Indicator Monitoring and Management System has deployed risk calculations, introduced from failure mode effects analysis, as surrogate measures for outcomes. Showing economic value from clinical laboratory testing quality is a challenge.

CONCLUSIONS

Clinical laboratories should converge on fewer (7-14) rather than more (21-35) process monitors; monitors should cover all steps of the testing process under laboratory control and include especially high-risk specimen-quality QIs. Clinical laboratory stewardship, the combination of education interventions among clinician test orderers and report consumers with revision of test order formats and result reporting schemes, improves test ordering, but improving result reception is more difficult. Risk calculation reorders the importance of quality monitors by balancing three probabilities: defect frequency, weight of potential harm, and detection difficulty. The triple approach of (1) a more focused suite of generic consensus quality indicators, (2) more active clinical laboratory testing stewardship, and (3) integration of formal risk assessment, rather than competing with economic value, enhances it.

摘要

目的

50 年来,结构、过程和结果指标一直用于评估医疗保健质量。对于临床实验室而言,结构质量通常通过检查来评估。为了评估过程,质量指标 (QIs) 已经在全球范围内激增,这些指标是临床实验室总检测步骤的统计监测器。然而,结构和过程实验室测量值与患者结果之间的联系很少得到证明。

方法

为了进一步开发临床实验室质量系统,我们对临床实验室质量评估的出版物进行了选择性但全球性的回顾。

结果

一些 QIs,如美国病理学家学院的七个通用 Q-Tracks 监测器,已经证明了显著的过程改进;其他措施则发现了改进测试选择和结果管理的关键机会。澳大利亚病理学家学院的关键指标监测和管理系统已经部署了风险计算,该计算方法是从失效模式影响分析中引入的,作为替代的结果衡量指标。从临床实验室检测质量中展示经济价值是一项挑战。

结论

临床实验室应该集中在更少的(7-14 个)而不是更多的(21-35 个)过程监测器上;监测器应涵盖实验室控制下的所有测试步骤,并特别包括高风险标本质量 QIs。临床实验室管理,将临床医生测试订单者和报告消费者之间的教育干预措施与测试订单格式和结果报告方案的修订相结合,可改善测试订单,但改善结果接收则更为困难。风险计算通过平衡三个概率来重新排列质量监测器的重要性:缺陷频率、潜在危害的权重和检测难度。(1)更集中的通用共识质量指标套件,(2)更积极的临床实验室测试管理,以及(3)正式风险评估的整合,而不是与经济价值竞争,可增强它。

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