静脉切开术质量指标的评价:优质患者护理的有效工具

IF 0.4 Q4 BIOLOGY
Aiswarya Unnithan, Subhashish Das, K. Raju
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引用次数: 0

摘要

导言:与普遍的看法相反,静脉切开术不仅仅是静脉穿刺。然而,它远不止于此,因为静脉切开术被认为是任何为完整诊断服务提供重要支持的实验室的自然面孔。实验室结果的质量显著影响患者的诊断和管理,因为大约80%的医疗决策是基于实验室结果。众所周知,质量指标(QIs)可以分析实验室的绩效,而对质量指标的监测可以发现需要改进的领域。质量指标是与观察到的事件、过程或结果相关的定性或定量信息,可以评估随时间的变化。它还能够通过将其与设定的标准进行比较来验证成就。材料和方法:进行了一项基于实验室的横断面研究,以评估2017年1月至今的质量指标,以评估以下质量参数:(A)填写不完整的申请单(rf), (b)错误标记的样品,(c)溶血样品,(d)凝血样品,(e)周转时间估计和(f)地形误差。每天收集这些指标,每月分析,并采取适当的补救措施。结果:研究期间共收到315,250份样本。在分析前阶段,不完全RFs 3783(1.2%)是最差的QI,其次是溶血2522(0.8%)样品。结论:持续监测质量指标不仅有助于提供无差错服务,而且有助于提高诊断服务的质量,改善患者护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of phlebotomy quality metrics: An effective tool for quality patient care
Introduction: Contrary to popular belief, phlebotomy is not just about venipuncture. Still, it is much more than that as phlebotomy is considered a natural face of any laboratory that provides vital support for complete diagnostic services. Quality in laboratory results significantly impacts the diagnosis and management of patients since about 80% of all medical decisions are based on laboratory results. Quality indicators (QIs) are known to analyse the performance of laboratories and monitoring of QIs leads to finding areas that need improvement. QIs are qualitative or quantitative information associated with an event, process or result put under observation, which can evaluate the changes over time. It is also able to verify achievement by comparing it with set criteria. Materials and Methods: A laboratory-based cross-sectional study was conducted to evaluate QIs from January 2017 to date undertaken to evaluate the following quality parameters: (a) incompletely filled requisition forms (RFs), (b) wrongly labeled samples, (c) haemolysed samples, (d) clotted samples, (e) turnaround time estimation and (f) topographical errors. These indicators were captured daily and analysed monthly, and appropriate remedial steps were taken. Results: A total of 315,250 samples were received during the study period. In the pre-analytical phase, incomplete RFs 3783 (1.2%) was the poorest QI, followed by haemolysis 2522 (0.8%) samples. Conclusion: Continuous monitoring of QIs not only helps provide error-free services but also helps qualitative improvement of diagnosis services along with better patient care.
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