Development and Psychometric Evaluation of the Attitudes Related to Trauma-Informed Care (ARTIC) Scale
Development and Psychometric Evaluation of the Attitudes Related to Trauma-Informed Care (ARTIC) Scale
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DOI：
10.1007/s12310-015-9161-0
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发表时间：
2016-03-01
影响因子：
2.6
通讯作者：
Arora, Prerna
中科院分区：
文献类型：
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作者：
Baker, Courtney N.;Brown, Steven M.;Arora, Prerna
由于其高流行率和相关的不良学术和健康结果的风险，不良的童年经历和创伤被认为是一种公共卫生流行病。作为回应，已经有大量的举措，旨在帮助机构和个人为有创伤史的人提供服务，以采取创伤知情护理（TIC）的方法。然而，重要的障碍，TIC的研究和实践包括一个不明确的操作定义TIC和缺乏心理测量强大的工具来评估TIC。为了缩小这些差距，我们使用了一种基于伙伴关系的方法来开发一种直接，高效和具有成本效益的TIC措施，重点是评估在学校，人类服务系统和其他环境中工作的员工的TIC相关态度，为有创伤史的个人提供服务。然后，我们进行了心理测量评估的结果的措施，相关的创伤知情的护理（ARTIC）量表的态度，与760名工作人员受雇于教育，人类服务和卫生保健的样本。研究结果建立了支持的心理测量特性的措施。具体来说，验证性因素分析表明七因素结构与数据拟合良好。ARTIC的分数表现出较强的内部一致性和重测信度超过6个月的45项和35项的复合材料，7个分量表，和10项的简短形式。结构和标准相关效度的支持与TIC和工作人员和TIC实施的系统级指标的熟悉程度的指标的相关性。目前的研究具有加快TIC的研究和促进数据为基础的决策有关的通过和实施TIC的影响。
Due to its high prevalence and associated risk of poor academic and health outcomes, adverse childhood experiences and trauma are considered a public health epidemic. In response, there has been a surge of initiatives aimed at helping institutions and individuals serving people with histories of trauma to adopt a trauma-informed care (TIC) approach. However, significant roadblocks to TIC research and practice include an unclear operational definition of TIC and the shortage of psychometrically robust instruments to evaluate TIC. To close these gaps, we used a partnership-based approach to develop a direct, efficient, and cost-effective measure of TIC focused on evaluating the TIC-relevant attitudes of staff working in schools, human service systems, and other settings serving individuals with histories of trauma. We then conducted a psychometric evaluation of the resultant measure, the Attitudes Related to Trauma-Informed Care (ARTIC) Scale, with a sample of 760 staff employed in education, human services, and health care. Study findings established support for the psychometric properties of the measure. Specifically, confirmatory factor analysis indicated that the seven-factor structure fit the data well. Scores on the ARTIC demonstrated strong internal consistency and test-retest reliability over 6 months for the 45-item and 35-item composites, the seven subscales, and the 10-item short form. Construct and criterion-related validity were supported by correlations with indicators of familiarity with TIC and staff- and system-level indicators of TIC implementation. The current study has implications for accelerating research on TIC and facilitating data-based decision making related to the adoption and implementation of TIC.