Miriam L.F.M. van Seters , Sanne P.A. Rasing , Mireille J. Huvenaars , Ad Vermulst , Denise H.M. Bodden , Yvonne A.J. Stikkelbroek
{"title":"针对患有抑郁障碍的青少年的混合认知行为疗法与面对面认知行为疗法中的治疗联盟","authors":"Miriam L.F.M. van Seters , Sanne P.A. Rasing , Mireille J. Huvenaars , Ad Vermulst , Denise H.M. Bodden , Yvonne A.J. Stikkelbroek","doi":"10.1016/j.invent.2024.100776","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>A depressive disorder during adolescence is a serious and disabling disorder, which has a high impact on the development of adolescents. Blended treatment, combining online and face-to-face sessions, is effective and can reduce some of the barriers for adolescents to use mental health care. There is a lack of knowledge about whether therapeutic alliance is established in blended treatment for adolescents and young adults suffering from a depressive disorder. This study examines whether the quality of the therapeutic alliance differs when cognitive behavior therapy (CBT) is delivered in combination with online intervention (b-CBT) compared to solely face-to-face (FtF-CBT) and the extent to which a stronger therapeutic alliance is associated with better treatment outcome.</div></div><div><h3>Methods</h3><div>A pragmatic quasi-experimental design was used. Data collected within two separate studies were combined. A total of 85 participants (80 % female), aged 13–22 (mean = 16.63, SD = 1.92) were recruited within mental health care institutions and diagnosed with a depressive disorder (using K-SADS). Assessments were done at pre-treatment (T0), after five weeks (T1), after ten weeks (T2), post-treatment (T3) and one to four weeks after treatment (T4) and included measures of depressive symptomatology (CDI-2). The therapeutic alliance was measured at T1, T2 and T3 by the TASC. <em>t</em>-tests for independent samples were used to test differences in therapeutic alliance rates between b-CBT and FtF-CBT at post-treatment. A linear growth model for depressive symptoms based on five time points with Latent Growth Curve Analysis (LGCA) was used to test whether the therapeutic alliance is associated with depressive symptoms.</div></div><div><h3>Results</h3><div>No differences in therapeutic alliance between b-CBT and FtF-CBT were found on either client-rated or therapist-rated therapeutic alliance. For both intervention groups, no significant association between the therapeutic alliance and depressive outcome was found.</div></div><div><h3>Discussion</h3><div>This study shows that providing part of CBT using an online environment does not have a negative impact on the therapeutic alliance. In contrast to earlier research, no association was found between the therapeutic alliance and therapy outcome in neither the b-CBT nor the FtF-CBT intervention.</div></div>","PeriodicalId":48615,"journal":{"name":"Internet Interventions-The Application of Information Technology in Mental and Behavioural Health","volume":"38 ","pages":"Article 100776"},"PeriodicalIF":3.6000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214782924000691/pdfft?md5=c6cd2ba44e3d3238275deabf94ef2e23&pid=1-s2.0-S2214782924000691-main.pdf","citationCount":"0","resultStr":"{\"title\":\"The therapeutic alliance in blended versus face-to-face cognitive behavioral therapy for adolescents and young adults with a depressive disorder\",\"authors\":\"Miriam L.F.M. van Seters , Sanne P.A. Rasing , Mireille J. Huvenaars , Ad Vermulst , Denise H.M. Bodden , Yvonne A.J. Stikkelbroek\",\"doi\":\"10.1016/j.invent.2024.100776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>A depressive disorder during adolescence is a serious and disabling disorder, which has a high impact on the development of adolescents. Blended treatment, combining online and face-to-face sessions, is effective and can reduce some of the barriers for adolescents to use mental health care. There is a lack of knowledge about whether therapeutic alliance is established in blended treatment for adolescents and young adults suffering from a depressive disorder. This study examines whether the quality of the therapeutic alliance differs when cognitive behavior therapy (CBT) is delivered in combination with online intervention (b-CBT) compared to solely face-to-face (FtF-CBT) and the extent to which a stronger therapeutic alliance is associated with better treatment outcome.</div></div><div><h3>Methods</h3><div>A pragmatic quasi-experimental design was used. Data collected within two separate studies were combined. A total of 85 participants (80 % female), aged 13–22 (mean = 16.63, SD = 1.92) were recruited within mental health care institutions and diagnosed with a depressive disorder (using K-SADS). Assessments were done at pre-treatment (T0), after five weeks (T1), after ten weeks (T2), post-treatment (T3) and one to four weeks after treatment (T4) and included measures of depressive symptomatology (CDI-2). The therapeutic alliance was measured at T1, T2 and T3 by the TASC. <em>t</em>-tests for independent samples were used to test differences in therapeutic alliance rates between b-CBT and FtF-CBT at post-treatment. 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The therapeutic alliance in blended versus face-to-face cognitive behavioral therapy for adolescents and young adults with a depressive disorder
Introduction
A depressive disorder during adolescence is a serious and disabling disorder, which has a high impact on the development of adolescents. Blended treatment, combining online and face-to-face sessions, is effective and can reduce some of the barriers for adolescents to use mental health care. There is a lack of knowledge about whether therapeutic alliance is established in blended treatment for adolescents and young adults suffering from a depressive disorder. This study examines whether the quality of the therapeutic alliance differs when cognitive behavior therapy (CBT) is delivered in combination with online intervention (b-CBT) compared to solely face-to-face (FtF-CBT) and the extent to which a stronger therapeutic alliance is associated with better treatment outcome.
Methods
A pragmatic quasi-experimental design was used. Data collected within two separate studies were combined. A total of 85 participants (80 % female), aged 13–22 (mean = 16.63, SD = 1.92) were recruited within mental health care institutions and diagnosed with a depressive disorder (using K-SADS). Assessments were done at pre-treatment (T0), after five weeks (T1), after ten weeks (T2), post-treatment (T3) and one to four weeks after treatment (T4) and included measures of depressive symptomatology (CDI-2). The therapeutic alliance was measured at T1, T2 and T3 by the TASC. t-tests for independent samples were used to test differences in therapeutic alliance rates between b-CBT and FtF-CBT at post-treatment. A linear growth model for depressive symptoms based on five time points with Latent Growth Curve Analysis (LGCA) was used to test whether the therapeutic alliance is associated with depressive symptoms.
Results
No differences in therapeutic alliance between b-CBT and FtF-CBT were found on either client-rated or therapist-rated therapeutic alliance. For both intervention groups, no significant association between the therapeutic alliance and depressive outcome was found.
Discussion
This study shows that providing part of CBT using an online environment does not have a negative impact on the therapeutic alliance. In contrast to earlier research, no association was found between the therapeutic alliance and therapy outcome in neither the b-CBT nor the FtF-CBT intervention.
期刊介绍:
Official Journal of the European Society for Research on Internet Interventions (ESRII) and the International Society for Research on Internet Interventions (ISRII).
The aim of Internet Interventions is to publish scientific, peer-reviewed, high-impact research on Internet interventions and related areas.
Internet Interventions welcomes papers on the following subjects:
• Intervention studies targeting the promotion of mental health and featuring the Internet and/or technologies using the Internet as an underlying technology, e.g. computers, smartphone devices, tablets, sensors
• Implementation and dissemination of Internet interventions
• Integration of Internet interventions into existing systems of care
• Descriptions of development and deployment infrastructures
• Internet intervention methodology and theory papers
• Internet-based epidemiology
• Descriptions of new Internet-based technologies and experiments with clinical applications
• Economics of internet interventions (cost-effectiveness)
• Health care policy and Internet interventions
• The role of culture in Internet intervention
• Internet psychometrics
• Ethical issues pertaining to Internet interventions and measurements
• Human-computer interaction and usability research with clinical implications
• Systematic reviews and meta-analysis on Internet interventions