Tsai Katherine H, Moskowitz Andrew L, Brown Todd E, Park Alayna L, Chorpita Bruce F
Department of Psychology, University of California, Los Angeles, 1285 Franz Hall, Box 951563, Los Angeles, CA, 90095, USA.
Adm Policy Ment Health. 2016 Mar;43(2):199-206. doi: 10.1007/s10488-015-0630-4.
Measurement feedback systems (MFSs) can help improve clinical outcomes by enhancing clinical decision-making. Unfortunately, limited information exists to guide the use and interpretation of data from MFSs. This study examined the amount of data that would provide a reasonable and reliable prediction of a client's rate of symptomatology in order to help inform clinical decision-making processes. Results showed that use of more data predicted greater levels of accuracy. However, there were diminishing returns on the ability for additional data to improve predictive accuracy. Findings inform efforts to develop guidelines on the interpretation of data from MFSs.
测量反馈系统(MFSs)可以通过加强临床决策来帮助改善临床结果。不幸的是,用于指导MFSs数据的使用和解读的信息有限。本研究调查了能够对服务对象的症状发生率提供合理且可靠预测的数据量,以便为临床决策过程提供参考。结果显示,使用更多数据可预测出更高的准确率。然而,额外数据提高预测准确率的能力存在收益递减的情况。这些发现为制定MFSs数据解读指南的工作提供了参考。