Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Working alliance predicts outcome in blended treatment (bCBT) for depression
Show others and affiliations
2017 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Introduction: Blended cognitive behavior therapy (bCBT) is a treatment format that mixes internet-based modules with face-to-face sessions. It has the potential of making internet-based interventions more easily accessible and saving therapist time when delivering treatment for depression. The role of working alliance in this treatment format has not yet been thoroughly investigated. There is therefore a need to explore patient- and therapist rated alliance and the ability to predict change in depression during treatment using measurements of working alliance.

Methods: We used ratings of depression and alliance from 73 participants in a study on bCBT for depression (part of the E-COMPARED project). Data were analyzed using growth curve models.

Results: Both patient- and therapist rated alliance was high. The main finding was that therapist-rated alliance predicted change in depression scores during treatment.

Discussion: Working alliance can be established in bCBT, which is in line with previous research on face-to-face and internet-based treatment for depression. An interesting find was that therapist-rated alliance was of greater importance than patient-rated alliance when predicting change in depression during treatment. These results point towards therapist ratings of alliance being essential when delivering bCBT and conducting research on this method in the future.

Place, publisher, year, edition, pages
2017.
Keyword [en]
bCBT, internet-based, face-to-face, working alliance, depression
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-148470OAI: oai:DiVA.org:su-148470DiVA: diva2:1152773
Conference
ISRII 9th Scientific Meeting: Making e/mHealth Impactful in People's Lives, Berlin, Germany, October 12-14, 2017
Note

Abstract available in the Conference App Elsevier Conferences (ISRII2017).

Available from: 2017-10-26 Created: 2017-10-26 Last updated: 2017-11-28Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Carlbring, Per
By organisation
Clinical psychology
Psychology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 70 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf