UM  > Faculty of Education
Residential Collegefalse
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
ISSN1028-3684
Volume32Issue: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.

KeywordDrop Out Termination Style Prior Notice Clinical Variables
Indexed By其他
Language英語English
Document TypeJournal article
CollectionFaculty of Education
Corresponding AuthorTa-Ho Yang
Affiliation1.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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ta-Ho Yang]'s Articles
[Shuh-Ren Jin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ta-Ho Yang]'s Articles
[Shuh-Ren Jin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ta-Ho Yang]'s Articles
[Shuh-Ren Jin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.