Department of Psychiatry and Biobehavioral Sciences, Semel Institute, Center for Health Services and Society, University of California, Los Angeles, CA, USA.
Schizophr Bull. 2012 Sep;38(5):981-91. doi: 10.1093/schbul/sbr002. Epub 2011 Mar 14.
The ecological validity of neurocognitive and functional measures in severe mental illness is poorly understood because of a lack of validated research methods to study community life-as-lived. We describe the development of a video ethnography method that measures naturalistic behaviors with codes called community performance indicators (CPIs). The method could provide a strategy to test the ecological validity of neurocognitive and functional assessments.
We gathered up to 18.5 hours of video ethnography data on each of 9 subjects with schizophrenia selected for high or low composite scores on the MATRICS Consensus Cognitive Battery (MCCB). We used video ethnography to capture subjects' everyday behaviors in their usual environments. We established 4 CPIs that showed excellent inter-rater and promising test-retest reliability: (1) behavioral activity level, (2) goal pursuit, (3) social interaction, and (4) problem solving.
(1) High and low MCCB subjects showed statistically significantly differences on all 4 CPIs. (2) MCCB composite scores were correlated with all 4 CPIs (r = .54 to -.77, P < .01 to .07). (3) The MCCB domain scores demonstrated some specificity in their correlations with the CPIs; eg, verbal learning, reasoning/problem solving, and social cognition were correlated with CPI domains of social interaction and problem solving.
We present a method for reliably measuring everyday functional performance in schizophrenia. Results from a small select sample suggest that CPIs capture skills associated with neurocognition, supporting their use in a larger study of ecological validity.
由于缺乏有效的研究方法来研究现实生活中的社区生活,因此严重精神疾病的神经认知和功能测量的生态有效性仍不清楚。我们描述了一种视频民族志方法的开发,该方法使用称为社区表现指标(CPI)的代码来测量自然行为。该方法可以提供一种策略来测试神经认知和功能评估的生态有效性。
我们对 9 名精神分裂症患者中的每一位收集了长达 18.5 小时的视频民族志数据,这些患者的 MATRICS 共识认知电池(MCCB)综合评分较高或较低。我们使用视频民族志来捕捉受试者在其惯常环境中的日常行为。我们建立了 4 个具有良好的评分者间和有希望的测试重测可靠性的 CPI:(1)行为活动水平,(2)目标追求,(3)社会互动和(4)解决问题。
(1)MCCB 得分高和低的受试者在所有 4 个 CPI 上均显示出统计学上的显著差异。(2)MCCB 综合评分与所有 4 个 CPI 相关(r =.54 至 -.77,P <.01 至.07)。(3)MCCB 领域得分在与 CPI 领域的相关性方面表现出一定的特异性;例如,言语学习,推理/解决问题和社会认知与社会互动和解决问题的 CPI 领域相关。
我们提出了一种可靠地测量精神分裂症日常功能表现的方法。从小样本中得出的结果表明,CPI 可以捕获与神经认知相关的技能,支持在更大的生态有效性研究中使用它们。