Abstract
PURPOSE: As routine outcome monitoring has become prevalent in psychological practice, there is need for measurement tools covering diverse symptoms, treatment processes, patient strengths, and risks. Here we describe the development and initial tests of the psychometric properties of a multi-scale system for use in mental healthcare, Norse Feedback. METHODS: In Study 1, we present the item-generation process and structure of the Norse Feedback, a 17-scale digital-first measurement tool for psychopathology and treatment-relevant variables. In Study 2, we present analyses of this initial measure in a nonclinical sample of 794 healthy controls and a sample of 222 mental health patients. In Study 3, we present the analysis of a revised 20-scale system in two separate samples of patients. In each analysis, we investigate item and test information in particular, including analysis of differential item functioning on gender, age, site, and sample differences where applicable. RESULTS: Scales performed variably. Changes to items and scales are described. Several scales appeared to reliably discriminate individuals entering mental health treatment on severity, and others are less reliable. Marked improvements in scale internal consistency and measurement precision were observed between the first and second implemented versions. CONCLUSION: This system includes some scales with reasonable structural validity, though several areas for future development are identified. The system was developed to be iteratively re-evaluated, to strengthen the validity of its scales over time. There are currently a number of limitations on inferences from these scores, which future developments should address.