Delgadillo, J. orcid.org/0000-0001-5349-230X, Huey, D., Bennett, H. et al. (1 more author) (2017) Case complexity as a guide for psychological treatment selection. Journal of Consulting and Clinical Psychology, 85 (9). pp. 835-853. ISSN 0022-006X
Abstract
Objective: Some cases are thought to be more complex and difficult to treat, although there is little consensus on how to define complexity in psychological care. This study proposes an actuarial, data-driven method of identifying complex cases based on their individual characteristics.
Method: Clinical records for 1512 patients accessing low and high intensity psychological treatments were partitioned in 2 random subsamples. Prognostic indices (PI) predicting post-treatment reliable and clinically significant improvement (RCSI) in depression (PHQ-9) and anxiety (GAD-7) symptoms were estimated in one subsample using penalized (Lasso) regressions with optimal scaling. A PI-based algorithm was used to classify patients as standard (St) or complex (Cx) cases in the second (cross-validation) subsample. RCSI rates were compared between Cx cases that accessed treatments of different intensities using logistic regression.
Results: St cases had significantly higher RCSI rates compared to Cx cases (OR = 1.81 to 2.81). Cx cases tended to attain better depression outcomes if they were initially assigned to high intensity (vs. low intensity) interventions (OR = 2.23); a similar pattern was observed for anxiety but the odds ratio (1.74) was not statistically significant.
Conclusions: Complex cases could be detected early and matched to high intensity interventions to improve outcomes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 American Psychological Association. This is an author produced version of a paper subsequently published in Journal of Consulting and Clinical Psychology. Uploaded in accordance with the publisher's self-archiving policy. |
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: | 08 Jun 2017 13:33 |
Last Modified: | 03 Oct 2017 08:41 |
Published Version: | https://doi.org/10.1037/ccp0000231 |
Status: | Published |
Publisher: | American Psychological Association |
Refereed: | Yes |
Identification Number: | 10.1037/ccp0000231 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117256 |