Residential College | false |
Status | 已發表Published |
Predicting Termination Conditions in Individual Psychotherapy from Patients’Variables | |
Ta-Ho Yang1; Shuh-Ren Jin2 | |
2018-06 | |
Source Publication | 臺灣精神醫學 |
ISSN | 1028-3684 |
Volume | 32Issue:2Pages:126-135 |
Abstract | 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. |
Keyword | Drop Out Termination Style Prior Notice Clinical Variables |
Indexed By | 其他 |
Language | 英語English |
Document Type | Journal article |
Collection | Faculty of Education |
Corresponding Author | Ta-Ho Yang |
Affiliation | 1.Department of Clinical Psychology, Song-De Branch, Taipei City Hospital, Taipei, Taiwan 2.University of Macau |
Recommended Citation GB/T 7714 | Ta-Ho Yang,Shuh-Ren Jin. Predicting Termination Conditions in Individual Psychotherapy from Patients’Variables[J]. 臺灣精神醫學, 2018, 32(2), 126-135. |
APA | Ta-Ho Yang., & Shuh-Ren Jin (2018). Predicting Termination Conditions in Individual Psychotherapy from Patients’Variables. 臺灣精神醫學, 32(2), 126-135. |
MLA | Ta-Ho Yang,et al."Predicting Termination Conditions in Individual Psychotherapy from Patients’Variables".臺灣精神醫學 32.2(2018):126-135. |
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