Therapeutic alliance trajectories and associations with outcome in psychodynamic child psychotherapy.


Journal

Journal of consulting and clinical psychology
ISSN: 1939-2117
Titre abrégé: J Consult Clin Psychol
Pays: United States
ID NLM: 0136553

Informations de publication

Date de publication:
Jul 2019
Historique:
pubmed: 10 5 2019
medline: 29 10 2019
entrez: 10 5 2019
Statut: ppublish

Résumé

This study investigated therapeutic alliance (TA) trajectories, their demographic and symptomatic predictors, and associations with outcome in psychodynamic child psychotherapy. The sample included 89 Turkish children ( Multilevel growth curve modeling indicated that TA showed a quadratic trend (high-low-high) over the course of treatment. The shape-of-change methodology indicated three subgroups following a stable pattern, a slow and an accelerated quadratic TA trajectory. Externalizing problems (teacher report) negatively predicted average TA strength. Boys and children with internalizing problems showed a declining TA trajectory, whereas children with externalizing problems (teacher report) showed an upward TA trajectory. Multivariate multiple regression analyses showed that the average TA (i.e., intercept) and the positive quadratic slope (the high-low-high pattern) positively predicted changes in internalizing and externalizing problems (teacher report). This study was the first to show the course of TA development in psychodynamic child psychotherapy, identify a number of child characteristics that facilitate and impede TA. Investigating both the strength and patterns of TA development when examining associations with outcome is important. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Identifiants

pubmed: 31070387
pii: 2019-25092-001
doi: 10.1037/ccp0000415
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

603-616

Auteurs

Sibel Halfon (S)

Department of Psychology.

Deniz Özsoy (D)

Department of Psychology.

Alev Çavdar (A)

Department of Psychology.

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Classifications MeSH