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Effectiveness of automated notification and customer service call centers for timely and accurate reporting of critical values: A laboratory medicine best practices systematic review and meta-analysis

机译:自动通知和客户服务呼叫中心对关键值的及时,准确报告的有效性:实验室医学最佳实践的系统审查和荟萃分析

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Objective: To conduct a systematic review of the evidence available in support of automated notification methods and call centers and to acknowledge other considerations in making evidence-based recommendations for best practices in improving the timeliness and accuracy of critical value reporting. Design and methods: This review followed the Laboratory Medicine Best Practices (LMBP) review methods (Christenson, et al. 2011). A broad literature search and call for unpublished submissions returned 196 bibliographic records which were screened for eligibility. 41 studies were retrieved. Of these, 4 contained credible evidence for the timeliness and accuracy of automatic notification systems and 5 provided credible evidence for call centers for communicating critical value information in in-patient care settings. Results: Studies reporting improvement from implementing automated notification findings report mean differences and were standardized using the standard difference in means (d= 0.42; 95% CI = 0.2-0.62) while studies reporting improvement from implementing call centers generally reported criterion referenced findings and were standardized using odds ratios (OR = 22.1; 95% CI = 17.1-28.6). Conclusions: The evidence, although suggestive, is not sufficient to make an LMBP recommendation for or against using automated notification systems as a best practice to improve the timeliness of critical value reporting in an in-patient care setting. Call centers, however, are effective in improving the timeliness of critical value reporting in an in-patient care setting, and meet LMBP criteria to be recommended as an "evidence-based best practice.". Disclaimer: The findings and conclusions in this article are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry (CDC/ATSDR).
机译:目标:对支持自动通知方法和呼叫中心的可用证据进行系统的审查,并在为改进关键价值报告的及时性和准确性的最佳做法提出基于证据的建议时,认识到其他考虑因素。设计和方法:本次审查遵循了《实验室医学最佳实践》(LMBP)的审查方法(Christenson等,2011)。广泛的文献检索和对未发表论文的征集要求返回了196份书目记录,这些记录经过筛选以符合资格。检索了41个研究。其中有4个包含自动通知系统及时性和准确性的可靠证据,还有5个为呼叫中心在住院护理环境中传达关键价值信息提供了可靠的证据。结果:报告实施自动通知发现改进的研究报告了均值差异,并使用均值的标准差进行了标准化(d = 0.42; 95%CI = 0.2-0.62),而实施呼叫中心实施改进的研究则报告了标准参考发现,并且使用比值比(OR = 22.1; 95%CI = 17.1-28.6)进行标准化。结论:尽管证据提示,但不足以提出LMBP建议以支持或反对使用自动通知系统作为最佳方法,以提高住院治疗中临界值报告的及时性。但是,呼叫中心可以有效地提高住院病人护理环境中临界值报告的及时性,并符合LMBP标准,被推荐为“基于证据的最佳实践”。免责声明:本文中的发现和结论是作者的发现,并不一定代表疾病控制与预防中心/有毒物质和疾病注册机构(CDC / ATSDR)的正式立场。

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