
Past Issues
Predicting Termination Conditions in Individual Psychotherapy from Patients’ Variables
Ta-Ho Yang, Ph.D.1*, Shuh-Ren Jin, Ph.D.
Objectives: We intended to explore the percentages and session times of psychotherapy
for completers, informed dropouts, and non-informed dropouts, and to
analyze the differences of clinical variables among those groups, and in an attempt
to fi nd effective predictors. Methods: The study data were based on fi ve-year process
note archives of short-term individual psychotherapy at a specialty psychiatric
hospital. We did analysis of variance and multi-nominal logistic regression to
analyze 16 clinical variables of 97 adult patients. Results: The percentages of
completers, informed dropouts, and non-informed dropouts were 34%, 36.1%, and
29.9%, respectively, of the sample population. Those percentages are not signifi -
cantly different in three groups. Their average times of attended sessions were
13.12, 6.69, and 6.31 times among those three groups, showing signifi cant difference
(F = 66.3, df = 2, 94, p < 0.001). The factor of sex (χ2 = 9.55, p < 0.01), age
(F = 3.99, df = 2, 92, p < 0.05), and past psychotherapy experience (PPE) (χ2 =
9.60, df = 2, p < 0.01) could effectively discriminate three patients groups, with a
total correct prediction rate of 55.8%. PPE was the most signifi cant predictors
among three predictors, but it could not effectively discriminate between completers
and informed dropouts. Conclusion: Being young, male and without PPE
were risk factors for non-informed dropout. Future studies are encouraged to set
up longitudinal and detailed psychotherapy archives to further explore different
features of dropout subgroups.
Key Word | drop out, termination style, prior notice, clinical variables |
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