Development and Psychometric Evaluation of the Wright Normalization of Deviance (NOD) Scale.

IF 1.7 3区 医学 Q3 HEALTH CARE SCIENCES & SERVICES
Journal of Patient Safety Pub Date : 2025-06-01 Epub Date: 2025-03-14 DOI:10.1097/PTS.0000000000001335
M Imelda Wright, Shuying Sha, Lynne A Hall
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引用次数: 0

Abstract

Objectives: Normalization of deviance (NOD) occurs when individuals and teams depart from acceptable performance standards until the adopted way of practice becomes the new norm. There is little research on the incidence of NOD in health care, and there is no validated instrument to measure it. Identification and quantification of NOD is critical for the evaluation of the effectiveness of interventions designed to reduce its adverse consequences. The objective was to develop and psychometrically evaluate the Wright Normalization of Deviance Scale.

Methods: Items for the scale were drawn from existing qualitative interview data and a review of relevant literature. Expert judges independently reviewed the initial item pool and rated each item for relevance and clarity. A sample of 222 respondents who work in a variety of high-risk environments was recruited via email, social media, and ResearchMatch. Cronbach alpha and item analysis were used to identify problematic items for elimination. The latent structure of the scale was explored using principal component analysis.

Results: The approach to item development and expert judging supported content validity of the NOD. The latent structure identified using principal component analysis was consistent with the dimensions the scale was intended to measure. The final set of 27 items had four dimensions and each had good internal consistency (Cronbach alphas ranged from 0.72-0.94).

Conclusions: The Wright NOD Scale demonstrated content and construct validity along with good internal consistency. It can be used by any high-risk organization, including health care, to facilitate identification of NOD, so that mitigating strategies can be applied.

赖特偏差正常化(NOD)量表的开发和心理测量评估。
目标:当个人和团队偏离可接受的绩效标准,直到所采用的实践方式成为新的规范时,就会出现偏差正常化(NOD)。关于NOD在卫生保健中的发病率的研究很少,也没有有效的工具来测量它。识别和量化NOD对于评估旨在减少其不良后果的干预措施的有效性至关重要。目的是发展和心理计量学评估赖特偏差归一化量表。方法:量表的条目取自现有的定性访谈数据和相关文献。专家评委独立审查了最初的项目池,并对每个项目的相关性和清晰度进行了评级。研究人员通过电子邮件、社交媒体和ResearchMatch网站招募了222名在各种高风险环境中工作的受访者。使用Cronbach alpha和项目分析来识别有问题的项目以进行消除。采用主成分分析对量表的潜在结构进行了探讨。结果:项目开发和专家评判的方法支持NOD的内容效度。主成分分析鉴定出的潜在结构与量表拟测量的维度一致。最终的27个条目共有4个维度,每个维度具有良好的内部一致性(Cronbach alpha在0.72-0.94之间)。结论:Wright NOD量表具有良好的内容效度和结构效度,具有良好的内部一致性。包括卫生保健在内的任何高风险组织都可以使用它来促进查明NOD,以便适用缓解战略。
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来源期刊
Journal of Patient Safety
Journal of Patient Safety HEALTH CARE SCIENCES & SERVICES-
CiteScore
4.60
自引率
13.60%
发文量
302
期刊介绍: Journal of Patient Safety (ISSN 1549-8417; online ISSN 1549-8425) is dedicated to presenting research advances and field applications in every area of patient safety. While Journal of Patient Safety has a research emphasis, it also publishes articles describing near-miss opportunities, system modifications that are barriers to error, and the impact of regulatory changes on healthcare delivery. This mix of research and real-world findings makes Journal of Patient Safety a valuable resource across the breadth of health professions and from bench to bedside.
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