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“NUTS”统计:将循证医学疾病模型应用于防御性医疗。

The "NUTS" statistic: Applying an EBM disease model to defensive medicine.

机构信息

Department of Emergency Medicine, SUNY Downstate Health Sciences University, Brooklyn, New York, USA.

Department of Emergency Medicine, Kings County Hospital Center, Brooklyn, New York, USA.

出版信息

J Healthc Risk Manag. 2022 Jan;41(3):9-12. doi: 10.1002/jhrm.21486. Epub 2021 Sep 15.

Abstract

Physicians believe that malpractice concerns result in unnecessary testing, and many emergency physicians state that avoiding malpractice is a contributing factor to ordering medically unnecessary tests. Unfortunately, defensive medicine does not come without possible harm to patients who may be subject to non-beneficial, downstream testing, procedures, and hospitalizations. We submit a novel statistic, "NUTS" or "Number of Unnecessary Tests to avoid one Suit. " We calculated a NUTS of 4737 for troponin testing in ED patients with suspected myocardial infarction, meaning a clinician will need to order 4737 medically unnecessary troponin tests to avoid one missed myocardial infarction lawsuit. The NUTS framework offers us an evidence-based lens to examine defensive medicine less superstitiously and more based on currently available data.

摘要

医生认为医疗事故的担忧会导致不必要的检查,许多急诊医生表示,避免医疗事故是导致进行不必要的医学检查的一个因素。不幸的是,防御性医疗并不能避免对患者造成潜在的伤害,这些患者可能会接受非有益的下游检查、手术和住院治疗。我们提出了一个新的统计数据,“NUTS”或“为避免一起诉讼而进行的不必要检查的数量”。我们计算了急诊科疑似心肌梗死患者进行肌钙蛋白检查的 NUTS 值为 4737,这意味着临床医生需要进行 4737 次不必要的肌钙蛋白检查,才能避免一次漏诊心肌梗死的诉讼。NUTS 框架为我们提供了一个基于证据的视角,使我们能够更有根据地、更少地基于迷信来审视防御性医疗。

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