Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada.
Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada.
Int J Nurs Stud. 2022 Sep;133:104284. doi: 10.1016/j.ijnurstu.2022.104284. Epub 2022 May 24.
Cognitive and implicit biases of healthcare providers can lead to adverse events in healthcare and have been identified as a patient safety concern. Most research on the impact of these systematic errors in judgment has been focused on diagnostic decision-making, primarily by physicians. As the largest component of the workforce, nurses make numerous decisions that affect patient outcomes; however, literature on nurses' clinical judgment often overlooks the potential impact of bias on these decisions. The aim of this study was to map the evidence and key concepts related to bias in nurses' judgment and decision-making, including interventions to correct or overcome these biases.
We conducted a scoping review using Joanna Briggs methodology. In November 2020 we searched CINAHL, PsychInfo, and PubMed databases to identify relevant literature. Inclusion criteria were primary research about nurses' bias; evidence of a nursing decision or action; and English language. No date or geographic limitations were set.
We found 77 items that met the inclusion criteria. Over half of these items were published in the last 12 years. Most research focused on implicit biases related to racial/ethnic identity, obesity, and gender; other articles examined confirmation, attribution, anchoring, and hindsight biases. Some articles examined heuristics and were included if they described the process of, and the problems with, nurse decision-making. Only 5 studies tested interventions to overcome or correct biases. 61 of the studies relied on vignettes, surveys, or recall methods, rather than examining real-world nursing practice. This could be a serious oversight because contextual factors such as cognitive load, which have a significant impact on judgment and decision-making, are not necessarily captured with vignette or survey studies. Furthermore, survey and vignette studies make it difficult to quantify the impact of these biases in the healthcare system.
Given the serious effects that bias has on nurses' clinical judgment, and thereby patient outcomes, a concerted, systematic effort to identify and test debiasing strategies in real-world nursing settings is needed.
Bias affects nurses' clinical judgment - we need to know how to fix it.
医疗保健提供者的认知和隐性偏见会导致医疗保健中的不良事件,并且已被认为是患者安全问题。大多数关于这些系统判断错误的影响的研究都集中在诊断决策上,主要是由医生进行的。护士作为劳动力中最大的组成部分,做出了许多影响患者结果的决策;然而,关于护士临床判断的文献往往忽略了偏见对这些决策的潜在影响。本研究的目的是绘制与护士判断和决策中的偏见相关的证据和关键概念图,包括纠正或克服这些偏见的干预措施。
我们使用乔安娜·布里格斯方法进行了范围综述。2020 年 11 月,我们在 CINAHL、PsychInfo 和 PubMed 数据库中搜索了相关文献。纳入标准是关于护士偏见的原始研究;有护理决策或行动的证据;以及英语语言。没有设置日期或地理限制。
我们发现符合纳入标准的 77 项。其中超过一半的研究是在过去 12 年内发表的。大多数研究集中在与种族/民族身份、肥胖和性别有关的隐性偏见上;其他文章研究了确认、归因、锚定和后见之明偏见。一些文章研究了启发式,如果它们描述了护士决策的过程和存在的问题,也被包括在内。只有 5 项研究测试了克服或纠正偏见的干预措施。61 项研究依赖于情景描述、调查或回忆方法,而不是检查真实的护理实践。这可能是一个严重的疏忽,因为情景描述或调查研究不一定能捕捉到认知负荷等对判断和决策有重大影响的情境因素。此外,调查和情景描述研究使得量化这些偏见在医疗保健系统中的影响变得困难。
鉴于偏见对护士临床判断的严重影响,从而影响患者的结果,需要在真实的护理环境中集中、系统地努力识别和测试去偏策略。
偏见影响护士的临床判断 - 我们需要知道如何解决它。