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      Adherence to Internet-Based and Face-to-Face Cognitive Behavioural Therapy for Depression: A Meta-Analysis

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          Abstract

          Background

          Internet-based cognitive behavioural therapy (iCBT) is an effective and acceptable treatment for depression, especially when it includes guidance, but its treatment adherence has not yet been systematically studied. We conducted a meta-analysis, comparing the adherence to guided iCBT with the adherence to individual face-to-face CBT.

          Methods

          Studies were selected from a database of trials that investigate treatment for adult depression (see www.evidencebasedpsychotherapies.org), updated to January 2013. We identified 24 studies describing 26 treatment conditions (14 face-to-face CBT, 12 guided iCBT), by means of these inclusion criteria: targeting depressed adults, no comorbid somatic disorder or substance abuse, community recruitment, published in the year 2000 or later. The main outcome measure was the percentage of completed sessions. We also coded the percentage of treatment completers (separately coding for 100% or at least 80% of treatment completed).

          Results

          We did not find studies that compared guided iCBT and face-to-face CBT in a single trial that met our inclusion criteria. Face-to-face CBT treatments ranged from 12 to 28 sessions, guided iCBT interventions consisted of 5 to 9 sessions. Participants in face-to-face CBT completed on average 83.9% of their treatment, which did not differ significantly from participants in guided iCBT (80.8%, P  =  .59). The percentage of completers (total intervention) was significantly higher in face-to-face CBT (84.7%) than in guided iCBT (65.1%, P < .001), as was the percentage of completers of 80% or more of the intervention (face-to-face CBT: 85.2%, guided iCBT: 67.5%, P  =  .003). Non-completers of face-to-face CBT completed on average 24.5% of their treatment, while non-completers of guided iCBT completed on average 42.1% of their treatment.

          Conclusion

          We did not find studies that compared guided iCBT and face-to-face CBT in a single trial. Adherence to guided iCBT appears to be adequate and could be equal to adherence to face-to-face CBT.

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          Persuasive System Design Does Matter: A Systematic Review of Adherence to Web-Based Interventions

          Saskia M Kelders, Robin N Kok, Hans Ossebaard … (2013)
          Background Although web-based interventions for promoting health and health-related behavior can be effective, poor adherence is a common issue that needs to be addressed. Technology as a means to communicate the content in web-based interventions has been neglected in research. Indeed, technology is often seen as a black-box, a mere tool that has no effect or value and serves only as a vehicle to deliver intervention content. In this paper we examine technology from a holistic perspective. We see it as a vital and inseparable aspect of web-based interventions to help explain and understand adherence. Objective This study aims to review the literature on web-based health interventions to investigate whether intervention characteristics and persuasive design affect adherence to a web-based intervention. Methods We conducted a systematic review of studies into web-based health interventions. Per intervention, intervention characteristics, persuasive technology elements and adherence were coded. We performed a multiple regression analysis to investigate whether these variables could predict adherence. Results We included 101 articles on 83 interventions. The typical web-based intervention is meant to be used once a week, is modular in set-up, is updated once a week, lasts for 10 weeks, includes interaction with the system and a counselor and peers on the web, includes some persuasive technology elements, and about 50% of the participants adhere to the intervention. Regarding persuasive technology, we see that primary task support elements are most commonly employed (mean 2.9 out of a possible 7.0). Dialogue support and social support are less commonly employed (mean 1.5 and 1.2 out of a possible 7.0, respectively). When comparing the interventions of the different health care areas, we find significant differences in intended usage (p = .004), setup (p < .001), updates (p < .001), frequency of interaction with a counselor (p < .001), the system (p = .003) and peers (p = .017), duration (F = 6.068, p = .004), adherence (F = 4.833, p = .010) and the number of primary task support elements (F = 5.631, p = .005). Our final regression model explained 55% of the variance in adherence. In this model, a RCT study as opposed to an observational study, increased interaction with a counselor, more frequent intended usage, more frequent updates and more extensive employment of dialogue support significantly predicted better adherence. Conclusions Using intervention characteristics and persuasive technology elements, a substantial amount of variance in adherence can be explained. Although there are differences between health care areas on intervention characteristics, health care area per se does not predict adherence. Rather, the differences in technology and interaction predict adherence. The results of this study can be used to make an informed decision about how to design a web-based intervention to which patients are more likely to adhere.
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            Dropout from Internet-based treatment for psychological disorders.

            Katherine M Melville, Leanne Casey, David J Kavanagh (2010)
            The purpose of this review was to present an in-depth analysis of literature identifying the extent of dropout from Internet-based treatment programmes for psychological disorders, and literature exploring the variables associated with dropout from such programmes. A comprehensive literature search was conducted on PSYCHINFO and PUBMED with the keywords: dropouts, drop out, dropout, dropping out, attrition, premature termination, termination, non-compliance, treatment, intervention, and program, each in combination with the key words Internet and web. A total of 19 studies published between 1990 and April 2009 and focusing on dropout from Internet-based treatment programmes involving minimal therapist contact were identified and included in the review. Dropout ranged from 2 to 83% and a weighted average of 31% of the participants dropped out of treatment. A range of variables have been examined for their association with dropout from Internet-based treatment programmes for psychological disorders. Despite the numerous variables explored, evidence on any specific variables that may make an individual more likely to drop out of Internet-based treatment is currently limited. This review highlights the need for more rigorous and theoretically guided research exploring the variables associated with dropping out of Internet-based treatment for psychological disorders.
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              Barriers to the uptake of computerized cognitive behavioural therapy: a systematic review of the quantitative and qualitative evidence.

              Emma Waller, S Gilbody (2009)
              Studies of cognitive behavioural therapy delivered by computer (cCBT) show clinical efficacy for treating anxiety and depression, but have not focused on barriers to uptake. Potential barriers include adverse consequences, accessibility and acceptability. An integrated systematic review was conducted of quantitative and qualitative studies and surveys from multiple electronic databases where computers delivered cCBT for anxiety or depression. Substantial numbers of potential participants are lost prior to trials commencing with little explanation. Among trial participants, drop-outs may be higher in the cCBT groups (odds ratio 2.03, 95% confidence interval 0.81-5.09). Only a median of 56% completed a full course of cCBT and personal circumstance was a more common cause of drop-out than difficulties with the technology or social background. Risk was rarely assessed in the majority of programs. Significant staff time was needed to support clients. Therapists were more negative about cCBT than clients. While cCBT is likely to be an effective and acceptable intervention for some people, there are barriers to its uptake that will substantially limit its impact if not addressed. These included investigating the outcome and attitudes of those who do not make it as far as cCBT trials and why so few finish a full course of cCBT.
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                Author and article information

                Contributors
                Antonio Verdejo García: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, USA )
                ISSN (Electronic): 1932-6203
                Publication date Collection: 2014
                Publication date (Electronic): 16 July 2014
                Volume: 9
                Issue: 7
                Electronic Location Identifier: e100674
                Affiliations
                [1 ]Department of Clinical Psychology, VU University Amsterdam, Amsterdam, The Netherlands
                [2 ]Department of Psychiatry, VU University Medical Centre/GGZ inGeest, Amsterdam, The Netherlands
                [3 ]EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
                [4 ]Department of Behavioural Sciences and Learning, Swedish Institute for Disability Research, Linköping University, Linköping, Sweden
                [5 ]Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
                [6 ]Leuphana University, Lüneburg, Germany
                University of Granada, Spain
                Author notes

                Competing Interests: Gerhard Andersson is a PLOS ONE Editorial Board member and that this does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: WvB PC HR. Performed the experiments: WvB PC EK. Analyzed the data: WvB PC. Contributed reagents/materials/analysis tools: PC. Wrote the paper: WvB. Interpreted the data: WvB PC AvS GA JHS HR. Edited the manuscript: WvB PC AvS EK GA JHS HR.

                Article
                Publisher ID: PONE-D-13-40111
                DOI: 10.1371/journal.pone.0100674
                PMC ID: 4100736
                PubMed ID: 25029507
                SO-VID: 6cd6f138-d0b2-4952-a116-f117118af7fb
                Copyright statement: Copyright @ 2014
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 25 September 2013
                Date accepted : 30 May 2014
                Page count
                Pages: 11
                Funding
                The authors have no support or funding to report.
                Categories
                Subject: Research Article
                Subject: Biology and Life Sciences
                Subject: Psychology
                Subject: Clinical Psychology
                Subject: Computer and Information Sciences
                Subject: Computer Applications
                Subject: Web-Based Applications
                Subject: Medicine and Health Sciences
                Subject: Mental Health and Psychiatry
                Subject: Mental Health Therapies
                Subject: Psychotherapy
                Subject: Mood Disorders
                Subject: Social Sciences

                ScienceOpen disciplines: Uncategorized
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                ScienceOpen disciplines: Uncategorized

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