Mohd Hatta Faizul Haris, Samsudin Ely Zarina, Aimran Nazim, Ismail Zaliha, Sapian Nor Akmar Mohd
Department of Public Health Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia.
College of Computing, Informatics, and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Risk Manag Healthc Policy. 2024 Feb 29;17:455-471. doi: 10.2147/RMHP.S439914. eCollection 2024.
Among available workplace violence (WPV) interventions, only data-driven, worksite-based, and risk-based approach WPV interventions had moderate evidence for effectiveness in decreasing the risk of WPV. The Questionnaires to Assess Workplace Violence Risk Factors (QAWRF) had been previously developed to determine the level of WPV risk factors in each healthcare setting based on the tripartite perspective of key stakeholders to enable effective WPV interventions. This study aimed to determine the construct validity and test-retest validity of QAWRF.
QAWRF, a three-component instrument consisting of QAWRF-Administrators, QAWRF-Workers, and QAWRF-Clients, had previously undergone content validation, face validation, and internal consistency reliability testing. 965 respondents were recruited to examine the construct validity of QAWRF, and a subset of these (n = 90) were retested again at an interval of three weeks to assess its test-retest reliability. Confirmatory factor analysis (CFA) was performed, and fitness indices, average variance extracted, correlation coefficient, composite reliability, and intraclass correlation coefficient were determined.
QAWRF-Administrator, QAWRF-Worker, and QAWRF-Client had acceptable factor loadings (≥0.6), absolute fit (Root Mean Square Error of Approximation > 0.1), incremental fit (Confirmatory Fit Index and Tucker Lewis Index > 0.9), parsimonious fit (Chi-square/degree of freedom < 5), correlation coefficient between construct (≤0.85), discriminant validity index, and construct reliability (≥0.6). CFA supported a four-factor model for QAWRF-Administrator and QAWRF-Worker, and a two-factor model for QAWRF-Client.
QAWRF holds good construct validity and test-retest reliability. By using QAWRF, healthcare managers can identify specific WPV risk factors that are perceived by stakeholders as prevalent at a particular workplace, and these findings can contribute towards data-driven, worksite-specific, and targeted WPV interventions in healthcare settings that are expected to be resource-efficient and more effective than general WPV interventions.
在现有的工作场所暴力(WPV)干预措施中,只有基于数据、工作场所和风险的WPV干预措施有中等证据表明其在降低WPV风险方面有效。先前已开发出工作场所暴力风险因素评估问卷(QAWRF),以基于关键利益相关者的三方视角确定每个医疗环境中WPV风险因素的水平,从而实现有效的WPV干预。本研究旨在确定QAWRF的结构效度和重测效度。
QAWRF是一种由QAWRF-管理人员、QAWRF-工作人员和QAWRF-客户组成的三部分工具,先前已进行了内容效度、表面效度和内部一致性信度测试。招募了965名受访者来检验QAWRF的结构效度,其中一部分(n = 90)在三周后再次进行测试,以评估其重测信度。进行了验证性因素分析(CFA),并确定了拟合指数、平均方差抽取量、相关系数、组合信度和组内相关系数。
QAWRF-管理人员、QAWRF-工作人员和QAWRF-客户具有可接受的因素负荷(≥0.6)、绝对拟合度(近似均方根误差> 0.1)、增量拟合度(验证性拟合指数和塔克·刘易斯指数> 0.9)、简约拟合度(卡方/自由度< 5)、结构之间的相关系数(≤0.85)、判别效度指数和结构信度(≥0.6)。CFA支持QAWRF-管理人员和QAWRF-工作人员的四因素模型,以及QAWRF-客户的两因素模型。
QAWRF具有良好的结构效度和重测信度。通过使用QAWRF,医疗管理人员可以识别利益相关者认为在特定工作场所普遍存在的特定WPV风险因素,并将这些结果用于医疗环境中数据驱动、针对特定工作场所和有针对性的WPV干预措施,预计这些措施将比一般WPV干预措施更节省资源且更有效。