赖特规范化偏差 (NOD) 尺度的开发和心理测量评估
M Imelda Wright1, Shuying Sha, Lynne A Hall
1University of Louisville School of Nursing, Louisville, KY.
Journal of patient safety
|March 13, 2025
概括
偏差正常化 (NOD) 是医疗保健等高风险领域的一个关键问题. 赖特NOD尺度是为了识别和量化NOD而开发和验证的,有助于制定缓解策略.
科学领域:
- 医疗保健的质量和安全.
- 组织行为组织行为.
- 风险管理 风险管理
背景情况:
- 偏差的规范化 (NOD) 描述了逐渐接受低于标准的做法作为规范.
- 关于医疗保健中NOD发生率的研究有限,并且没有可用的验证仪器来测量它.
- 量化NOD对于评估旨在减少其负面影响的干预措施至关重要.
研究的目的:
- 开发和心理测量评估赖特规范化偏差尺度.
- 为在高风险环境中测量NOD提供一个验证的仪器.
主要方法:
- 尺度项目是从定性访谈和文献综述中得出的.
- 专家评委评估了项目相关性和清晰度.
- 来自高风险环境的222名受访者参与了调查.
- 主要成分分析和克朗巴赫的α被用于心理测量评估.
主要成果:
- 规模开发过程支持内容有效性.
- 主要组件分析证实了预期的潜在结构.
- 最后的27项尺度在四个维度中显示出良好的内部一致性 (Cronbach的alphas:0.72-0.94).
结论:
- 赖特NOD尺度表现出内容有效性,构造有效性和强大的内部一致性.
- 该尺度适用于任何高风险组织,包括医疗保健,以识别NOD.
- 该尺度有助于实施减轻NOD不利影响的策略.
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