Articlehybrid2022

Trajectories of depression and anxiety symptom severity during psychological therapy for common mental health problems

Megan Skelton · Ewan Carr · Joshua E. J. Buckman · Molly Rose Davies · Kimberley Goldsmith · Colette R. Hirsch +7 more

32 citations0/0 files storedPsychological Medicine

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Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes Mental Health Treatment and Access Psychotherapy Techniques and Applications

Abstract

BACKGROUND: There is substantial variation in patient symptoms following psychological therapy for depression and anxiety. However, reliance on endpoint outcomes ignores additional interindividual variation during therapy. Knowing a patient's likely symptom trajectories could guide clinical decisions. We aimed to identify latent classes of patients with similar symptom trajectories over the course of psychological therapy and explore associations between baseline variables and trajectory class. METHODS: = 16 258). To identify trajectories, we performed growth mixture modelling of depression and anxiety symptoms over 11 sessions. We then ran multinomial regressions to identify baseline variables associated with trajectory class membership. RESULTS: Trajectories of depression and anxiety symptoms were highly similar and best modelled by four classes. Three classes started with moderate-severe symptoms and showed (1) no change, (2) gradual improvement, and (3) fast improvement. A final class (4) showed initially mild symptoms and minimal improvement. Within the moderate-severe baseline symptom classes, patients in the two showing improvement as opposed to no change tended not to be prescribed psychotropic medication or report a disability and were in employment. Patients showing fast improvement additionally reported lower baseline functional impairment on average. CONCLUSIONS: Multiple trajectory classes of depression and anxiety symptoms were associated with baseline characteristics. Identifying the most likely trajectory for a patient at the start of treatment could inform decisions about the suitability and continuation of therapy, ultimately improving patient outcomes.

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References

2001The PHQ-9 2006A Brief Measure for Assessing Generalized Anxiety Disorder 2007Anxiety Disorders in Primary Care: Prevalence, Impairment, Comorbidity, and Detection 2007An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling 2000Integrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling With Latent Trajectory Classes 2002The Work and Social Adjustment Scale: a simple measure of impairment in functioning 1986The dose-effect relationship in psychotherapy.2018MplusAutomation : An R Package for Facilitating Large-Scale Latent Variable Analyses in M plus

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