The process and delivery of CBT for depression in adults: a systematic review and network meta-analysis
Cognitive-behavioural therapy (CBT) is an effective treatment for depressed adults. CBT interventions are complex, as they include multiple content components and can be delivered in different ways. We compared the effectiveness of different types of therapy, different components and combinations of...
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| Vydáno v: | Psychological medicine Ročník 49; číslo 12; s. 1937 - 1947 |
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| Hlavní autoři: | , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Cambridge, UK
Cambridge University Press
01.09.2019
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| Témata: | |
| ISSN: | 0033-2917, 1469-8978, 1469-8978 |
| On-line přístup: | Získat plný text |
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| Abstract | Cognitive-behavioural therapy (CBT) is an effective treatment for depressed adults. CBT interventions are complex, as they include multiple content components and can be delivered in different ways. We compared the effectiveness of different types of therapy, different components and combinations of components and aspects of delivery used in CBT interventions for adult depression. We conducted a systematic review of randomised controlled trials in adults with a primary diagnosis of depression, which included a CBT intervention. Outcomes were pooled using a component-level network meta-analysis. Our primary analysis classified interventions according to the type of therapy and delivery mode. We also fitted more advanced models to examine the effectiveness of each content component or combination of components. We included 91 studies and found strong evidence that CBT interventions yielded a larger short-term decrease in depression scores compared to treatment-as-usual, with a standardised difference in mean change of −1.11 (95% credible interval −1.62 to −0.60) for face-to-face CBT, −1.06 (−2.05 to −0.08) for hybrid CBT, and −0.59 (−1.20 to 0.02) for multimedia CBT, whereas wait list control showed a detrimental effect of 0.72 (0.09 to 1.35). We found no evidence of specific effects of any content components or combinations of components. Technology is increasingly used in the context of CBT interventions for depression. Multimedia and hybrid CBT might be as effective as face-to-face CBT, although results need to be interpreted cautiously. The effectiveness of specific combinations of content components and delivery formats remain unclear. Wait list controls should be avoided if possible. |
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| AbstractList | Cognitive-behavioural therapy (CBT) is an effective treatment for depressed adults. CBT interventions are complex, as they include multiple content components and can be delivered in different ways. We compared the effectiveness of different types of therapy, different components and combinations of components and aspects of delivery used in CBT interventions for adult depression. We conducted a systematic review of randomised controlled trials in adults with a primary diagnosis of depression, which included a CBT intervention. Outcomes were pooled using a component-level network meta-analysis. Our primary analysis classified interventions according to the type of therapy and delivery mode. We also fitted more advanced models to examine the effectiveness of each content component or combination of components. We included 91 studies and found strong evidence that CBT interventions yielded a larger short-term decrease in depression scores compared to treatment-as-usual, with a standardised difference in mean change of -1.11 (95% credible interval -1.62 to -0.60) for face-to-face CBT, -1.06 (-2.05 to -0.08) for hybrid CBT, and -0.59 (-1.20 to 0.02) for multimedia CBT, whereas wait list control showed a detrimental effect of 0.72 (0.09 to 1.35). We found no evidence of specific effects of any content components or combinations of components. Technology is increasingly used in the context of CBT interventions for depression. Multimedia and hybrid CBT might be as effective as face-to-face CBT, although results need to be interpreted cautiously. The effectiveness of specific combinations of content components and delivery formats remain unclear. Wait list controls should be avoided if possible.Cognitive-behavioural therapy (CBT) is an effective treatment for depressed adults. CBT interventions are complex, as they include multiple content components and can be delivered in different ways. We compared the effectiveness of different types of therapy, different components and combinations of components and aspects of delivery used in CBT interventions for adult depression. We conducted a systematic review of randomised controlled trials in adults with a primary diagnosis of depression, which included a CBT intervention. Outcomes were pooled using a component-level network meta-analysis. Our primary analysis classified interventions according to the type of therapy and delivery mode. We also fitted more advanced models to examine the effectiveness of each content component or combination of components. We included 91 studies and found strong evidence that CBT interventions yielded a larger short-term decrease in depression scores compared to treatment-as-usual, with a standardised difference in mean change of -1.11 (95% credible interval -1.62 to -0.60) for face-to-face CBT, -1.06 (-2.05 to -0.08) for hybrid CBT, and -0.59 (-1.20 to 0.02) for multimedia CBT, whereas wait list control showed a detrimental effect of 0.72 (0.09 to 1.35). We found no evidence of specific effects of any content components or combinations of components. Technology is increasingly used in the context of CBT interventions for depression. Multimedia and hybrid CBT might be as effective as face-to-face CBT, although results need to be interpreted cautiously. The effectiveness of specific combinations of content components and delivery formats remain unclear. Wait list controls should be avoided if possible. Cognitive-behavioural therapy (CBT) is an effective treatment for depressed adults. CBT interventions are complex, as they include multiple content components and can be delivered in different ways. We compared the effectiveness of different types of therapy, different components and combinations of components and aspects of delivery used in CBT interventions for adult depression. We conducted a systematic review of randomised controlled trials in adults with a primary diagnosis of depression, which included a CBT intervention. Outcomes were pooled using a component-level network meta-analysis. Our primary analysis classified interventions according to the type of therapy and delivery mode. We also fitted more advanced models to examine the effectiveness of each content component or combination of components. We included 91 studies and found strong evidence that CBT interventions yielded a larger short-term decrease in depression scores compared to treatment-as-usual, with a standardised difference in mean change of −1.11 (95% credible interval −1.62 to −0.60) for face-to-face CBT, −1.06 (−2.05 to −0.08) for hybrid CBT, and −0.59 (−1.20 to 0.02) for multimedia CBT, whereas wait list control showed a detrimental effect of 0.72 (0.09 to 1.35). We found no evidence of specific effects of any content components or combinations of components. Technology is increasingly used in the context of CBT interventions for depression. Multimedia and hybrid CBT might be as effective as face-to-face CBT, although results need to be interpreted cautiously. The effectiveness of specific combinations of content components and delivery formats remain unclear. Wait list controls should be avoided if possible. Cognitive-behavioural therapy (CBT) is an effective treatment for depressed adults. CBT interventions are complex, as they include multiple content components and can be delivered in different ways. We compared the effectiveness of different types of therapy, different components and combinations of components and aspects of delivery used in CBT interventions for adult depression. We conducted a systematic review of randomised controlled trials in adults with a primary diagnosis of depression, which included a CBT intervention. Outcomes were pooled using a component-level network meta-analysis. Our primary analysis classified interventions according to the type of therapy and delivery mode. We also fitted more advanced models to examine the effectiveness of each content component or combination of components. We included 91 studies and found strong evidence that CBT interventions yielded a larger short-term decrease in depression scores compared to treatment-as-usual, with a standardised difference in mean change of -1.11 (95% credible interval -1.62 to -0.60) for face-to-face CBT, -1.06 (-2.05 to -0.08) for hybrid CBT, and -0.59 (-1.20 to 0.02) for multimedia CBT, whereas wait list control showed a detrimental effect of 0.72 (0.09 to 1.35). We found no evidence of specific effects of any content components or combinations of components. Technology is increasingly used in the context of CBT interventions for depression. Multimedia and hybrid CBT might be as effective as face-to-face CBT, although results need to be interpreted cautiously. The effectiveness of specific combinations of content components and delivery formats remain unclear. Wait list controls should be avoided if possible. |
| Author | Davies, Sarah R. Li, Jinshuo Lewis, Glyn Tallon, Deborah Wu, Qi Caldwell, Deborah M. López-López, José A. Welton, Nicky J. Taylor, Abigail Kessler, David S. Wiles, Nicola Dawson, Sarah Churchill, Rachel Peters, Tim J. |
| AuthorAffiliation | 5 Faculty of Health Sciences , University of York , York , UK 2 Centre for Academic Mental Health , Bristol Medical School , University of Bristol , Bristol , UK 3 Department of Basic Psychology & Methodology , Faculty of Psychology , University of Murcia , Murcia , Spain 6 Division of Psychiatry , Faculty of Brain Sciences , University College London , London , UK 4 Centre for Reviews and Dissemination , University of York , York , UK 1 Department of Population Health Sciences , Bristol Medical School , University of Bristol , Bristol , UK |
| AuthorAffiliation_xml | – name: 5 Faculty of Health Sciences , University of York , York , UK – name: 6 Division of Psychiatry , Faculty of Brain Sciences , University College London , London , UK – name: 4 Centre for Reviews and Dissemination , University of York , York , UK – name: 3 Department of Basic Psychology & Methodology , Faculty of Psychology , University of Murcia , Murcia , Spain – name: 1 Department of Population Health Sciences , Bristol Medical School , University of Bristol , Bristol , UK – name: 2 Centre for Academic Mental Health , Bristol Medical School , University of Bristol , Bristol , UK |
| Author_xml | – sequence: 1 givenname: José A. orcidid: 0000-0002-9655-3616 surname: López-López fullname: López-López, José A. email: josealopezlopez@um.es organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK – sequence: 2 givenname: Sarah R. surname: Davies fullname: Davies, Sarah R. organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK – sequence: 3 givenname: Deborah M. surname: Caldwell fullname: Caldwell, Deborah M. organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK – sequence: 4 givenname: Rachel surname: Churchill fullname: Churchill, Rachel organization: 4Centre for Reviews and Dissemination, University of York, York, UK – sequence: 5 givenname: Tim J. surname: Peters fullname: Peters, Tim J. organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK – sequence: 6 givenname: Deborah surname: Tallon fullname: Tallon, Deborah organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK – sequence: 7 givenname: Sarah surname: Dawson fullname: Dawson, Sarah organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK – sequence: 8 givenname: Qi surname: Wu fullname: Wu, Qi organization: 5Faculty of Health Sciences, University of York, York, UK – sequence: 9 givenname: Jinshuo surname: Li fullname: Li, Jinshuo organization: 5Faculty of Health Sciences, University of York, York, UK – sequence: 10 givenname: Abigail surname: Taylor fullname: Taylor, Abigail organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK – sequence: 11 givenname: Glyn surname: Lewis fullname: Lewis, Glyn organization: 6Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK – sequence: 12 givenname: David S. surname: Kessler fullname: Kessler, David S. organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK – sequence: 13 givenname: Nicola surname: Wiles fullname: Wiles, Nicola organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK – sequence: 14 givenname: Nicky J. surname: Welton fullname: Welton, Nicky J. organization: 1Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31179960$$D View this record in MEDLINE/PubMed |
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| DOI | 10.1017/S003329171900120X |
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| Keywords | Cognitive-behavioural therapy multimedia depression network meta-analysis systematic review |
| Language | English |
| License | This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by-nc-sa/4.0 |
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| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-3 ObjectType-Evidence Based Healthcare-1 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 These authors contributed equally to this paper. |
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| PublicationDate | 2019-09-01 |
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