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      Development and initial evaluation of blended cognitive behavioural treatment for major depression in routine specialized mental health care

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          Abstract

          Background

          Blended care combines face-to-face treatment with web-based components in mental health care settings. Blended treatment could potentially improve active patient participation, by letting patients work though part of the protocol autonomously. Further, blended treatment might lower the costs of mental health care, by reducing treatment duration and/or therapist contact. However, knowledge on blended care for depression is still limited.

          Objectives

          To develop a blended cognitive behavioural treatment (bCBT) for depressed patients in an outpatient specialized mental health care centre and to conduct a preliminary evaluation of this bCBT protocol.

          Method

          A bCBT protocol was developed, taking recommendations into account from depressed patients (n = 3) and therapists and experts in the field of e-health (n = 18). Next, an initial evaluation of integrated high-intensive bCBT was conducted with depressed patients (n = 9) in specialized mental health care. Patients' clinical profiles were established based on pre-treatment diagnostic information and patient self-reports on clinical measures. Patient treatment adherence rates were explored, together with patient ratings of credibility and expectancy (CEQ) before treatment, and system usability (SUS) and treatment satisfaction after treatment (CSQ-8). During and after treatment, the blended treatment protocol was evaluated in supervision sessions with the participating therapists (n = 7).

          Results

          Seven out of nine patients started bCBT, of whom five completed ≥ 90% of treatment. System usability was evaluated as being above average (range 63 to 85), and patients were mostly to very satisfied with bCBT (range 16 to 32). Patients reported improvements in depression, health-related quality of life and anxiety. We observed that therapists evaluated the highly structured blended treatment as a helpful tool in providing evidence-based treatment to this complex patient group.

          Discussion

          Although no conclusions can be drawn based on the current study, our observations suggest that a blended CBT approach might shorten treatment duration and has the potential to be a valuable treatment option for patients with severe depression in specialized mental health care settings. Further exploration of the effectiveness of our bCBT protocol by means of a randomized controlled trial is warranted.

          Highlights

          • We developed a blended cognitive behavioural treatment (bCBT) for depressed patients in an outpatient specialized mental health care centre.

          • We performed a preliminary evaluation of the acceptability and feasibility of this bCBT protocol.

          • bCBT is potentially a feasible and acceptable treatment option for depressed patients in specialized mental health care.

          • bCBT can potentially halve the number of face-to-face sessions and overall duration of therapy.

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          Most cited references32

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          Psychometric properties of the credibility/expectancy questionnaire.

          The present research evaluated the psychometric properties of the credibility/expectancy questionnaire, a quick and easy-to-administer scale for measuring treatment expectancy and rationale credibility for use in clinical outcome studies. The results suggested that this questionnaire derives the two predicted factors (cognitively based credibility and relatively more affectively based expectancy) and that these factors are stable across different populations. Furthermore, the questionnaire demonstrated high internal consistency within each factor and good test-retest reliability. The expectancy factor predicted outcome on some measures, whereas the credibility factor was unrelated to outcome. The questionnaire is appended to the paper, yet the authors stress care when utilizing the scale. During the administration of the questionnaire, the participant sees two sections--one related to thinking and one related to feeling. However, the researcher needs to be aware that the 2 factors derived are not grouped into those questions. Instead credibility was found to be derived from the first three think questions and expectancy was derived from the fourth think question and the two feel questions.
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            A meta-analysis of cognitive-behavioural therapy for adult depression, alone and in comparison with other treatments.

            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. 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. 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). 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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              • Article: not found

              Assessment of client/patient satisfaction: development of a general scale.

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                Author and article information

                Contributors
                Journal
                Internet Interv
                Internet Interv
                Internet Interventions
                Elsevier
                2214-7829
                27 January 2016
                May 2016
                27 January 2016
                : 4
                : 61-71
                Affiliations
                [a ]Faculty of Behavioural and Movement Sciences, Department of Clinical-, Neuro- and Developmental Psychology, VU University Amsterdam, Van der Boechorststraat 1, BT 1081 Amsterdam, The Netherlands
                [b ]EMGO Institute for Health Care and Research, VU University Medical Centre, Van der Boechorststraat 1, BT 1081 Amsterdam, The Netherlands
                [c ]Department of Psychiatry, GGZ inGeest and VU University Medical Centre, P.O. Box 7057, Amsterdam MB 1007, the Netherlands
                [d ]Health, Medical and Neuropsychology Unit, Leiden University, Wassenaarseweg 52, AK 2333, Leiden, The Netherlands
                [e ]Department of Psychology, Health & Technology, University of Twente, Drienerlolaan 5, NB 7522, Enschede, The Netherlands
                [f ]Faculty of Health Sciences, the Institute of Clinical Research /Telepsychiatric Centre, Mental Health Services in the Region of Southern Denmark, University of Southern Denmark, Winsløwparken 19, DK-5000 Odense, Denmark
                Author notes
                [* ]Corresponding author at: Faculty of Behavioural and Movement Sciences, Department of Clinical-, Neuro- and Developmental Psychology, VU University Amsterdam, Van der Boechorststraat 1, BT 1081 Amsterdam, The Netherlands. l.c.kooistra@ 123456vu.nl
                Article
                S2214-7829(16)00003-8
                10.1016/j.invent.2016.01.003
                6096194
                30135791
                c60892e9-1711-4318-8312-4e95c5e2d402
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 4 August 2015
                : 24 December 2015
                : 25 January 2016
                Categories
                Full length Article

                blended cognitive behavioural therapy,online treatment,face-to-face treatment,depression,routine practise,outpatient specialized mental health care

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