A comparison between the clinical significance and growth mixture modelling early change methods at predicting negative outcomes

Nicola Flood, Andrew Page, Geoff Hooke

Research output: Contribution to journalArticle

2 Citations (Scopus)
431 Downloads (Pure)

Abstract

Objective: Routine outcome monitoring benefits treatment by identifying potential no change and deterioration. The present study compared two methods of identifying early change and their ability to predict negative outcomes on self-report symptom and wellbeing measures. Method: 1467 voluntary day patients participated in a 10-day group Cognitive Behaviour Therapy (CBT) program and completed the symptom and wellbeing measures daily. Early change, as defined by (a) the clinical significance method and (b) longitudinal modelling, was compared on each measure. Results: Early change, as defined by the simpler clinical significance method, was superior at predicting negative outcomes than longitudinal modelling. The longitudinal modelling method failed to detect a group of deteriorated patients, and agreement between the early change methods and the final unchanged outcome was higher for the clinical significance method. Conclusions: Therapists could use the clinical significance early change method during treatment to alert them of patients at risk for negative outcomes, which in turn could allow therapists to prevent those negative outcomes from occurring.

Original languageEnglish
Pages (from-to)947-958
Number of pages12
JournalPsychotherapy Research
Volume29
Issue number7
Early online date4 May 2018
DOIs
Publication statusPublished - 8 Oct 2019

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