Lyon Aaron R, Lewis Cara C, Boyd Meredith R, Hendrix Ethan, Liu Freda
Department of Psychiatry & Behavioral Sciences, University of Washington, 1959 NE Pacific Street, Box 356560, Rm BB1644, Seattle, WA, 98195-6560, USA.
Department of Psychological and Brain Sciences, Indiana University, 1101 E. 10th St., Bloomington, IN, 47405, USA.
Adm Policy Ment Health. 2016 May;43(3):441-66. doi: 10.1007/s10488-016-0719-4.
Measurement feedback systems (MFS) are a class of health information technology (HIT) that function as an implementation support strategy for integrating measurement based care or routine outcome monitoring into clinical practice. Although many MFS have been developed, little is known about their functions. This paper reports findings from an application of health information technology-academic and commercial evaluation (HIT-ACE), a systematic and consolidated evaluation method, to MFS designed for use in behavioral healthcare settings. Forty-nine MFS were identified and subjected to systematic characteristic and capability coding. Results are presented with respect to the representation of characteristics and capabilities across MFS.
测量反馈系统（MFS）是一类健康信息技术（HIT），作为一种实施支持策略，用于将基于测量的护理或常规结果监测整合到临床实践中。尽管已经开发了许多测量反馈系统，但对其功能却知之甚少。本文报告了将健康信息技术 - 学术和商业评估（HIT - ACE）（一种系统且综合的评估方法）应用于设计用于行为医疗环境的测量反馈系统的研究结果。识别出49个测量反馈系统，并对其进行系统的特征和能力编码。呈现了关于各测量反馈系统特征和能力表现的结果。
