Probst, T., Kleinstäuber, M., Lambert, M.J. et al. (5 more authors) (2020) Why are some cases not on track? An item analysis of the assessment for signal cases (ASC) during inpatient psychotherapy. Clinical Psychology and Psychotherapy, 27 (4). pp. 559-566. ISSN 1063-3995
Abstract
Within the Routine Outcome Monitoring System “OQ‐Analyst”, the questionnaire “Assessment for Signal Cases” (ASC) supports therapists in detecting potential reasons for not‐on‐track trajectories. Factor analysis and a machine learning algorithm (Lasso with 10‐fold cross‐validation) were applied and potential predictors of not‐on‐track classifications were tested using logistic multilevel modelling methods. The factor analysis revealed a shortened (30‐item) version of the ASC with good internal consistency (α = 0.72 – 0.89) and excellent predictive value (AUC = 0.98; +PV = 0.95; ‐PV = 0.94). Item‐level analyses showed that interpersonal problems captured by specific ASC items (not feeling able to speak about problems with family members; feeling rejected or betrayed) are the most important predictors of not‐on‐track trajectories.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. Clinical Psychology & Psychotherapy published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
Keywords: | Psychotherapy; progress feedback; routine outcome monitoring; Assessment for Signal Cases |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Mar 2020 10:15 |
Last Modified: | 03 Dec 2021 16:11 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/cpp.2441 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158094 |