| 1. |
- Carlbring, Per, et al.
(author)
-
Internet-Based vs. Face-to-Face CBT : Systematic Review and Meta-Analysis
- 2018
-
Conference paper (peer-reviewed)abstract
- During the last two decades, Internet-delivered cognitive behavior therapy (ICBT) has been tested in hundreds of randomized controlled trials, often with promising results. However, the control groups were often waitlist, care-as-usual or attention control. Hence, little is known about the relative efficacy of ICBT as compared to face-to-face cognitive behavior therapy (CBT). In addition, the long-term effects of ICBT is largely unknown.In this presentation a systematic review and meta-analysis, which included 1418 participants, will be presented. Out of the 2078 articles screened, a total of 20 studies met all inclusion criteria. These included studies on social anxiety disorder, panic disorder, depression, body dissatisfaction etc. Results showed a pooled effect size at post-treatment of Hedges g = 0.05 (95% CI, -0.09 to 0.20), indicating that ICBT and face-to-face treatment produced equivalent overall effects.We also reviewed studies in which the long-term effects of guided ICBT were investigated. Following a new set of literature searches in PubMed and other sources meta-analytic statistics were calculated for 14 studies involving a total of 902 participants, and an average follow-up period of three years. The duration of the actual treatments was usually short (8-15 weeks). The pre-to follow-up (>2 yrs) effect size was Hedge’s g = 1.52, but with a significant heterogeneity. The average symptom improvement across studies was 50%.While the overall results indicate equivalence, there have been few studies of the individual psychiatric and somatic conditions so far, and for the majority, guided ICBT has not been compared against face-to-face treatment. Thus, more research, preferably with larger sample sizes, is needed to establish the general equivalence of the two treatment formats. While effects may be overestimated, it is likely that therapist-supported ICBT can have enduring effects.
|
|
| 2. |
- Carlbring, Per, et al.
(author)
-
Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders : An updated systematic review and meta-analysis
- 2017
-
Conference paper (peer-reviewed)abstract
- During the last two decades, Internet-delivered cognitive behavior therapy (ICBT) has been tested in hundreds of randomized controlled trials, often with promising results. However, the control groups were often waitlist, care-as-usual or attention control. Hence, little is known about the relative efficacy of ICBT as compared to face-to-face cognitive behavior therapy (CBT). In the present systematic review and meta-analysis, which included 1418 participants, guided ICBT for psychiatric and somatic conditions were directly compared to face-to-face CBT within the same trial. Out of the 2078 articles screened, a total of 20 studies met all inclusion criteria. These included three studies on social anxiety disorder, three on panic disorder, four on depression, two on body dissatisfaction, two on insomnia, two on tinnitus, one on male sexual dysfunction, one on spider phobia, one on snake phobia, and one on fibromyalgia. Half of the face-to-face CBT treatments were administered in an individual format, and the other half were administered in a group format. Results showed a pooled effect size at post-treatment of Hedges g = 0.05 (95% CI, -0.09 to 0.20), indicating that ICBT and face-to-face treatment produced equivalent overall effects. Study quality did not affect outcomes. While the overall results indicate equivalence, there have been few studies of the individual psychiatric and somatic conditions so far, and for the majority, guided ICBT has not been compared against face-to-face treatment. Thus, more research, preferably with larger sample sizes, is needed to establish the general equivalence of the two treatment formats.
|
|
| 3. |
- van Breda, Ward, et al.
(author)
-
A feature representation learning method for temporal datasets
- 2016
-
In: PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI). - : IEEE. - 9781509042401
-
Conference paper (peer-reviewed)abstract
- Predictive modeling of future health states can greatly contribute to more effective health care. Healthcare professionals can for example act in a more proactive way or predictions can drive more automated ways of therapy. However, the task is very challenging. Future developments likely depend on observations in the (recent) past, but how can we capture this history in features to generate accurate predictive models? And what length of history should we consider? We propose a framework that is able to generate patient tailored features from observations of the recent history that maximize predictive performance. For a case study in the domain of depression we find that using this method new data representations can be generated that increase the predictive performance significantly.
|
|
| 4. |
- Vernmark, Kristofer, et al.
(author)
-
The role of therapeutic alliance in blended treatment for depression
- 2017
-
Conference paper (peer-reviewed)abstract
- Introduction: Blended Cognitive Behaviour Therapy (bCBT) uses a combination of face-to-face sessions and online material, such as self-help modules, and can be used in the treatment of depression. The blended format has the potential of integrating internet-based components into treatment without completely removing the traditional face-to-face setting. This way of delivery can lower the threshold when it comes to using digital components in CBT. The role of therapeutic alliance in this format is yet to be explored, specifically the role of therapist rated alliance, as most studies only include patient rated measurements of alliance. Methods: Working alliance and depression ratings from 73 participants in a study on bCBT for depression (part of the E-COMPARED project) was analysed using growth curve models. Results: High ratings for both patient-and therapist rated working alliance were found. Therapist rated alliance predicted a positive change (decreased PHQ-9 scores) in depression during treatment. Discussion: Ratings of therapeutic alliance was similar to what have been seen in face-to-face and internet-based treatment. Patient rated alliance could not predict change rate in depression, which is a common finding in ICBT-studies. However, therapist rated alliance had a significant correlation with change rate and predicted a decrease in depression during treatment. These results sheds more light on the concept and role of therapeutic alliance in internet-based and blended treatments.
|
|
