Repeated measures Analysis of Variance was adopted to assess whether health scores changed from pre- to post-treatment. Changes on the Symptom Distress subscale were significant with a large effect size (F(182)=85.4, p<.001, η2=.32). Changes on the Interpersonal Relations subscale were also significant with large effect size (F(182)=59.8, p<.001, η2=.24), and changes on Social Role were significant with large effect size (F(182)=64.1, p<.001, η2=.26).
To explore whether client characteristics impacted change, we regressed difference scores from Time 2 to Time 1 on Symptom Distress onto age, sex, previous level of care, number of diagnoses, and treatment completion.
The overall model was significant (F(5,140)=7.1, p<.001; R2 = .20), accounting for 20% of the variability on Symptom distress change. Specifically, age and completion were significant predictors of change. Clients who fully completed treatment improved more than those who partially completed treatment. Similarly, we regressed change scores on Interpersonal Relations onto the predictor variables.
The overall model was not significant (F(5,150)=0.8, p<.76; R2 = .02). When we regressed change scores for Social Role onto all predictors, the overall model was significant (F(5,140)=3.02, p<.01; R2 = .10), accounting for 10% of the variability of Social Social Role change. Specifically, treatment completers experienced more profound change than those who partially completed treatment.
Summary. People change similarly, but significantly even if they have more complex (co occurring) problems, AND that completion of treatment is a key in optimizing outcomes.
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