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      OCD? Not Me! Protocol for the development and evaluation of a web-based self-guided treatment for youth with obsessive-compulsive disorder

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      BMJ Open
      BMJ Publishing Group
      PSYCHIATRY

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          Abstract

          Background

          OCD? Not Me! is a novel, web-based, self-guided intervention designed to treat obsessive-compulsive disorder (OCD) in young people aged 12–18, using the principles of exposure and response prevention. The current paper presents the protocol for the development of the programme and for an open trial that will evaluate the effectiveness of this programme for OCD in young people, and associated distress and symptom accommodation in their parents and caregivers.

          Methods

          We will measure the impact of the OCD? Not Me! programme on OCD symptoms using the Children's Florida Obsessive Compulsive Inventory (C-FOCI), and both the self-report and parent report of the Children's Obsessional Compulsive Inventory—Revised (ChOCI-R). The impact of the programme on OCD-related functional impairment will be measured using the parent report of the Child Obsessive-Compulsive Impact Scale—Revised (COIS-R). Secondary outcome measures include the Rosenberg Self-Esteem Scale and the Youth Quality of Life—Short Form (YQoL-SF). The 21-item Depression Anxiety Stress Scales (DASS-21) will be used to measure the impact of the programme on parent/caregiver distress, while the Family Accommodation Scale (FAS) will be used to measure change in family accommodation of OCD symptoms. Multilevel mixed effects linear regression will be used to analyse the impact of the intervention on the outcome measures.

          Ethics and dissemination

          This study has been approved by the Curtin University Human Research Ethics Committee. The results of the study will be reported in international peer-reviewed journals.

          Trial registration number

          Australian New Zealand Clinical Trials Registry: ACTRN12613000152729.

          Related collections

          Most cited references27

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

          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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            A behavior change model for internet interventions.

            The Internet has become a major component to health care and has important implications for the future of the health care system. One of the most notable aspects of the Web is its ability to provide efficient, interactive, and tailored content to the user. Given the wide reach and extensive capabilities of the Internet, researchers in behavioral medicine have been using it to develop and deliver interactive and comprehensive treatment programs with the ultimate goal of impacting patient behavior and reducing unwanted symptoms. To date, however, many of these interventions have not been grounded in theory or developed from behavior change models, and no overarching model to explain behavior change in Internet interventions has yet been published. The purpose of this article is to propose a model to help guide future Internet intervention development and predict and explain behavior changes and symptom improvement produced by Internet interventions. The model purports that effective Internet interventions produce (and maintain) behavior change and symptom improvement via nine nonlinear steps: the user, influenced by environmental factors, affects website use and adherence, which is influenced by support and website characteristics. Website use leads to behavior change and symptom improvement through various mechanisms of change. The improvements are sustained via treatment maintenance. By grounding Internet intervention research within a scientific framework, developers can plan feasible, informed, and testable Internet interventions, and this form of treatment will become more firmly established.
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              The SCOFF questionnaire: assessment of a new screening tool for eating disorders.

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2015
                29 April 2015
                : 5
                : 4
                : e007486
                Affiliations
                School of Psychology and Speech Pathology, Curtin University , Perth, Western Australia, Australia
                Author notes
                [Correspondence to ] Dr Clare S Rees; c.rees@ 123456curtin.edu.au
                Author information
                http://orcid.org/0000-0002-1336-4001
                Article
                bmjopen-2014-007486
                10.1136/bmjopen-2014-007486
                4420975
                25926148
                e149c1e7-53fb-47c3-8b9c-0d99b97e77e7
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 18 December 2014
                : 16 March 2015
                : 27 March 2015
                Categories
                Mental Health
                Protocol
                1506
                1712
                1712

                Medicine
                psychiatry
                Medicine
                psychiatry

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