提供定量自我报告数据的患者的响应过程:一种定性研究
Øyvind Grindheim1, Andrew McAleavey2,3,4, Valentina Iversen5
1Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway. oyvind.k.grindheim@ntnu.no.
概括
患者自我报告数据的解释是复杂的. 了解响应过程,包括上下文和推理,对于精确的有效性评估和超越数值得分的临床解释至关重要.
科学领域:
- 心理测量 心理测量
- 临床心理学 临床心理学
- 药物使用障碍治疗 药物使用障碍治疗
背景情况:
- 定量自我报告数据在临床环境中被广泛使用.
- 现有的模型缺乏整合,以了解患者的反应过程.
- 对自我报告数据的准确解释对于患者护理至关重要.
研究的目的:
- 确定影响患者反应过程的因素,以获得定量自我报告数据.
- 开发一个综合模型的患者响应过程.
- 指导有效性证据的评估和评分解释.
主要方法:
- 从一个物质使用障碍诊所接受的13名参与者的认知采访.
- 数据收集和分析的灵感来自于有基础的理论.
- 参与者对常规结果监测临床反系统中的项目做出了回应.
主要成果:
- 确定了影响响应过程的五类变量:上下文,项目,响应基础,推理和选择策略.
- 患者的反应受到各种因素的影响,这些因素不仅仅表现在数值得分上.
- 开发了响应类别,以捕捉响应过程的细微方面.
结论:
- 患者响应过程可以挑战自我报告数据中传达的准确性和意义.
- 响应细微差别提供了重要的解释性洞察力,超越了数值得分.
- 开发的模型有助于项目开发,有效性评估和响应解释.
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