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- Furukawa, T. A., et al.
(författare)
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Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual data
- 2021
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Ingår i: Lancet Psychiatry. - : Elsevier BV. - 2215-0374 .- 2215-0366. ; 8:6, s. 500-511
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Tidskriftsartikel (refereegranskat)abstract
- Findings We identified 76 RCTs, including 48 trials contributing individual participant data (11 704 participants) and 28 trials with aggregate data (6474 participants). The participants' weighted mean age was 42.0 years and 12 406 (71%) of 17 521 reported were women. There was suggestive evidence that behavioural activation might be beneficial (iMD -1.83 [95% credible interval (CrI) -2.90 to -0.80]) and that relaxation might be harmful (1.20 [95% CrI 0.17 to 2.27]). Baseline severity emerged as the strongest prognostic factor for endpoint depression. Combining human and automated encouragement reduced dropouts from treatment (incremental odds ratio, 0.32 [95% CrI 0.13 to 0.93]). The risk of bias was low for the randomisation process, missing outcome data, or selection of reported results in most of the included studies, uncertain for deviation from intended interventions, and high for measurement of outcomes. There was moderate to high heterogeneity among the studies and their components. 511
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| 3. |
- Andersson, G, et al.
(författare)
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What makes Internet therapy work?
- 2009
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Ingår i: Cognitive behaviour therapy. - : Informa UK Limited. - 1651-2316 .- 1650-6073. ; 38 Suppl 1, s. 55-60
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Tidskriftsartikel (refereegranskat)
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| 6. |
- Cuijpers, P, et al.
(författare)
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A meta-analysis of cognitive-behavioural therapy for adult depression, alone and in comparison with other treatments
- 2013
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Ingår i: Canadian journal of psychiatry. Revue canadienne de psychiatrie. - : SAGE Publications. - 0706-7437. ; 58:7, s. 376-385
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Tidskriftsartikel (refereegranskat)abstract
- No recent meta-analysis has examined the effects of cognitive-behavioural therapy (CBT) for adult depression. We decided to conduct such an updated meta-analysis. Methods: Studies were identified through systematic searches in bibliographical databases (PubMed, PsycINFO, Embase, and the Cochrane library). We included studies examining the effects of CBT, compared with control groups, other psychotherapies, and pharmacotherapy. Results: A total of 115 studies met inclusion criteria. The mean effect size (ES) of 94 comparisons from 75 studies of CBT and control groups was Hedges g = 0.71 (95% CI 0.62 to 0.79), which corresponds with a number needed to treat of 2.6. However, this may be an overestimation of the true ES as we found strong indications for publication bias (ES after adjustment for bias was g = 0.53), and because the ES of higher-quality studies was significantly lower ( g = 0.53) than for lower-quality studies ( g = 0.90). The difference between high- and low-quality studies remained significant after adjustment for other study characteristics in a multivariate meta-regression analysis. We did not find any indication that CBT was more or less effective than other psychotherapies or pharmacotherapy. Combined treatment was significantly more effective than pharmacotherapy alone ( g = 0.49). Conclusions: There is no doubt that CBT is an effective treatment for adult depression, although the effects may have been overestimated until now. CBT is also the most studied psychotherapy for depression, and thus has the greatest weight of evidence. However, other treatments approach its overall efficacy.
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- Rozental, Alexander, et al.
(författare)
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Consensus statement on defining and measuring negative effects of Internet interventions
- 2014
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Introduction: Internet interventions have a great potential for alleviating emotional distress and promoting mental health. A number of clinical trials have demonstrated their efficacy for several psychiatric conditions, and Internet interventions will likely become a common alternative to face-to-face treatments. Meanwhile, research has paid little attention to the potential negative effects associated with treatment, warranting further investigation of the possibility that some patients might deteriorate or experience adverse events. Evidence from face-to-face treatments suggests that negative effects afflict 5-10% of all patients undergoing treatment in terms of deterioration alone. However, there is currently a lack of consensus on how to define and measure negative effects in psychotherapy research in general, leaving researchers without practical guidelines for monitoring and reporting negative effects in clinical trials.Method: The current paper seeks to provide recommendations that could promote the study of negative effects in Internet interventions with the aim of increasing the knowledge of its occurrence and characteristics. Ten leading experts in the field of Internet interventions were invited to participate and share their perspective on how to explore negative effects, using the Delphi technique to facilitate a dialogue and reach an agreement.Results: The importance of conducting further research on negative effects is emphasized, and suggestions on how to classify and measure negative effects in Internet interventions are provided, involving methods from both quantitative and qualitative research. Potential mechanisms underlying negative effects are also presented, differentiating common factors shared with face-to-face treatments from those unique to treatments delivered via the Internet.Conclusion: Negative effects are to be expected and need to be acknowledged to a greater extent, advising researchers to systematically probe for negative effects whenever conducting clinical trials involving Internet interventions, as well as to share their findings in scientific journals.
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