| 1. |
- Andersson, Gerhard, et al.
(författare)
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Delivering cognitive behavioural therapy for mild to moderate depression via the Internet : Predicting outcome at 6-month follow-up
- 2004
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Ingår i: Verhaltenstherapie (Basel). - : S. Karger AG. - 1016-6262 .- 1423-0402. ; 14:3, s. 185-189
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: Mild to moderate depression has been successfully treated with cognitive-behavioural (CBT) bibliotherapy, including minimal therapist contact. More recently, the Internet has been used to deliver the treatment, with obvious gains in terms of cost reduction and increased accessibility. In the present study we analysed pre-treatment predictors of improvement following Internet-based self-help treatment of mild to moderate depression. Patients and Methods: Included were 71 participants from a randomised trial who completed a 6-month follow-up. Change indexes were calculated from the Beck Depression Inventory (BDI) and the Montgomery Åsberg Depression Rating Scale (MADRS). Results: In line with the literature on depression, the number of previous episodes of depression was negatively associated with improvement after treatment. Follow-up scores on the BDI and MADRS were associated with pre-treatment levels of depression, anxiety and low levels of quality of life. Discussion: As indicated by traditional psychotherapy studies, finding predictors of outcome is a difficult task. Patients with repeated episodes of depression might benefit less from self-help over the Internet, but as the correlation is weak, no firm conclusions can be drawn.
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| 2. |
- Baldwin, Scott A., et al.
(författare)
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Intraclass correlation associated with therapists : estimates and applications in planning psychotherapy research
- 2011
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Ingår i: Cognitive Behaviour Therapy. - : Routledge, Taylor and Francis Group. - 1650-6073 .- 1651-2316. ; 40:1, s. 15-33
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Tidskriftsartikel (refereegranskat)abstract
- It is essential that outcome research permit clear conclusions to be drawn about the efficacy of interventions. The common practice of nesting therapists within conditions can pose important methodological challenges that affect interpretation, particularly if the study is not powered to account for the nested design. An obstacle to the optimal design of these studies is the lack of data about the intraclass correlation coefficient (ICC), which measures the statistical dependencies introduced by nesting. To begin the development of a public database of ICC estimates, the authors investigated ICCs for a variety outcomes reported in 20 psychotherapy outcome studies. The magnitude of the 495 ICC estimates varied widely across measures and studies. The authors provide recommendations regarding how to select and aggregate ICC estimates for power calculations and show how researchers can use ICC estimates to choose the number of patients and therapists that will optimize power. Attention to these recommendations will strengthen the validity of inferences drawn from psychotherapy studies that nest therapists within conditions.
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| 3. |
- Bergström, Jan, 1976-, et al.
(författare)
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An open study of the effectiveness of Internet treatment for panic disorder delivered in a psychiatric setting
- 2009
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Ingår i: Nordic Journal of Psychiatry. - : Informa UK Limited. - 0803-9488 .- 1502-4725. ; 63:1, s. 44-50
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Tidskriftsartikel (refereegranskat)abstract
- Panic Disorder with or without or without agoraphobia (PD/A) is common and can be treated effectively with SSRI medication or cognitive behavior therapy (CBT). There is however a great lack of access to CBT services, which has motivated the development of self-help approaches requiring less therapist contact. A novel treatment modality in this field, showing efficacy in several randomised trials but until now not evaluated within the context of regular psychiatric care, is Internet-based treatment. The present study evaluated the effectiveness of Internet-based CBT for 20 consecutively referred PD patients in a psychiatric setting. At post-treatment, 94% of patients no longer met DSM-IV criteria for PD (82% at 6-month follow up). The within-group effect sizes (for the main outcome PDSS; Panic Disorder Severity Scale) were Cohens d=2.5 (pre- to posttreatment) and 2.8 (pre-treatment to follow up) respectively. The proportion of responders on the PDSS was 75% at posttreatment and 70% at 6-month follow up. These results indicate that Internet-based CBT can be both an effective, feasible and potentially cost-effective alternative within regular psychiatric care for patients with PD.
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| 4. |
- Carlbring, P., et al.
(författare)
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Internet and psychological treatment. How well can they be combined?
- 2006
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Ingår i: Computers in human behavior. - : Elsevier BV. - 0747-5632 .- 1873-7692. ; 22:3, s. 545-553
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Forskningsöversikt (refereegranskat)abstract
- As evidenced by several trials, cognitive behavior therapy (CBT) is a highly effective treatment for many conditions including panic disorder with or without agoraphobia. However, therapists are short in supply, and patients with conditions like agoraphobia may not seek therapy due to fear of leaving their homes or traveling certain distances. A major challenge therefore is to increase the accessibility and affordability of empirically supported psychological treatments. The results of randomized controlled trails testing Internet delivered self-help programs generally provide evidence to support the continued use and development for a range of conditions. However, there are special treatment aspects that need to be taken into consideration such as internet access and the idiosyncrasies provided in traditional face to face therapies. © 2004 Elsevier Ltd. All rights reserved.
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| 5. |
- Ebert, D. D., et al.
(författare)
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Does Internet-based guided-self-help for depression cause harm? An individual participant data meta-analysis on deterioration rates and its moderators in randomized controlled trials
- 2016
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Ingår i: Psychological Medicine. - : Cambridge University Press. - 0033-2917 .- 1469-8978. ; 46:13, s. 2679-2693
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Forskningsöversikt (refereegranskat)abstract
- Almost nothing is known about the potential negative effects of Internet-based psychological treatments for depression. This study aims at investigating deterioration and its moderators within randomized trials on Internet-based guided self-help for adult depression, using an individual patient data meta-analyses (IPDMA) approach.Studies were identified through systematic searches (PubMed, PsycINFO, EMBASE, Cochrane Library). Deterioration in participants was defined as a significant symptom increase according to the reliable change index (i.e. 7.68 points in the CES-D; 7.63 points in the BDI). Two-step IPDMA procedures, with a random-effects model were used to pool data.A total of 18 studies (21 comparisons, 2079 participants) contributed data to the analysis. The risk for a reliable deterioration from baseline to post-treatment was significantly lower in the intervention v. control conditions (3.36 v. 7.60; relative risk 0.47, 95% confidence interval 0.29–0.75). Education moderated effects on deterioration, with patients with low education displaying a higher risk for deterioration than patients with higher education. Deterioration rates for patients with low education did not differ statistically significantly between intervention and control groups. The benefit–risk ratio for patients with low education indicated that 9.38 patients achieve a treatment response for each patient experiencing a symptom deterioration.Internet-based guided self-help is associated with a mean reduced risk for a symptom deterioration compared to controls. Treatment and symptom progress of patients with low education should be closely monitored, as some patients might face an increased risk for symptom deterioration. Future studies should examine predictors of deterioration in patients with low education.
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| 7. |
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| 8. |
- Furukawa, Toshi 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. - London, United Kingdom : Elsevier. - 2215-0374 .- 2215-0366. ; 8:6, s. 500-511
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Forskningsöversikt (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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| 9. |
- Karyotaki, E., et al.
(författare)
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Predictors of treatment dropout in self-guided web-based interventions for depression: an individual patient data meta-analysis
- 2015
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Ingår i: Psychological Medicine. - : CAMBRIDGE UNIV PRESS. - 0033-2917 .- 1469-8978. ; 45:13, s. 2717-2726
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Tidskriftsartikel (refereegranskat)abstract
- Background. It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data meta-analysis to gain a better understanding of who may benefit from these interventions. Method. A comprehensive literature search for all randomized controlled trials (RCTs) of psychotherapy for adults with depression from 2006 to January 2013 was conducted. Next, we approached authors to collect the primary data of the selected studies. Predictors of dropout, such as socio-demographic, clinical, and intervention characteristics were examined. Results. Data from 2705 participants across ten RCTs of self-guided web-based interventions for depression were analysed. The multivariate analysis indicated that male gender [relative risk (RR) 1.08], lower educational level (primary education, RR 1.26) and co-morbid anxiety symptoms (RR 1.18) significantly increased the risk of dropping out, while for every additional 4 years of age, the risk of dropping out significantly decreased (RR 0.94). Conclusions. Dropout can be predicted by several variables and is not randomly distributed. This knowledge may inform tailoring of online self-help interventions to prevent dropout in identified groups at risk.
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