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      A pragmatic randomized control trial and realist evaluation on the implementation and effectiveness of an internet application to support self-management among individuals seeking specialized mental health care: a study protocol

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          Abstract

          Background

          Mental illness is a substantial and rising contributor to the global burden of disease. Access to and utilization of mental health care, however, is limited by structural barriers such as specialist availability, time, out-of-pocket costs, and attitudinal barriers including stigma. Innovative solutions like virtual care are rapidly entering the health care domain. The advancement and adoption of virtual care for mental health, however, often occurs in the absence of rigorous evaluation and adequate planning for sustainability and spread.

          Methods

          A pragmatic randomized controlled trial with a nested comparative effectiveness arm, and concurrent realist process evaluation to examine acceptability, effectiveness, and cost-effectiveness of the Big White Wall (BWW) online platform for mental health self-management and peer support among individuals aged 16 and older who are accessing mental health services in Ontario, Canada. Participants will be randomized to 3 months of BWW or treatment as usual. At the end of the 3 months, participants in the intervention group will have the opportunity to opt-in to an intervention extension arm. Those who opt-in will be randomized to receive an additional 3 months of BWW or no additional intervention. The primary outcome is recovery at 3 months as measured by the Recovery Assessment Scale-revised (RAS-r). Secondary outcomes include symptoms of depression and anxiety measured with the Personal Health Questionnaire-9 item (PHQ-9) and the Generalized Anxiety Disorder Questionnaire-7 item (GAD-7) respectively, quality of life measured with the EQ-5D-5L, and community integration assessed with the Community Integration Questionnaire. Cost-effectiveness evaluations will account for the cost of the intervention and direct health care costs. Qualitative interviews with participants and stakeholders will be conducted throughout.

          Discussion

          Understanding the impact of virtual strategies, such as BWW, on patient outcomes and experience, and health system costs is essential for informing whether and how health system decision-makers can support these strategies system-wide. This requires clear evidence of effectiveness and an understanding of how the intervention works, for whom, and under what circumstances. This study will produce such effectiveness data for BWW, while simultaneously exploring the characteristics and experiences of users for whom this and similar online interventions could be helpful.

          Trial registration

          Clinicaltrials.gov NCT02896894. Registered on 31 August 2016 (retrospectively registered).

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          Most cited references22

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          Monitoring depression treatment outcomes with the patient health questionnaire-9.

          Although effective treatment of depressed patients requires regular follow-up contacts and symptom monitoring, an efficient method for assessing treatment outcome is lacking. We investigated responsiveness to treatment, reproducibility, and minimal clinically important difference of the Patient Health Questionnaire-9 (PHQ-9), a standard instrument for diagnosing depression in primary care. This study included 434 intervention subjects from the IMPACT study, a multisite treatment trial of late-life depression (63% female, mean age 71 years). Changes in PHQ-9 scores over the course of time were evaluated with respect to change scores of the SCL-20 depression scale as well as 2 independent structured diagnostic interviews for depression during a 6-month period. Test-retest reliability and minimal clinically important difference were assessed in 2 subgroups of patients who completed the PHQ-9 twice exactly 7 days apart. The PHQ-9 responsiveness as measured by effect size was significantly greater than the SCL-20 at 3 months (-1.3 versus -0.9) and equivalent at 6 months (-1.3 versus -1.2). With respect to structured diagnostic interviews, both the PHQ-9 and the SCL-20 change scores accurately discriminated patients with persistent major depression, partial remission, and full remission. Test-retest reliability of the PHQ-9 was excellent, and its minimal clinically important difference for individual change, estimated as 2 standard errors of measurement, was 5 points on the 0 to 27 point PHQ-9 scale. Well-validated as a diagnostic measure, the PHQ-9 has now proven to be a responsive and reliable measure of depression treatment outcomes. Its responsiveness to treatment coupled with its brevity makes the PHQ-9 an attractive tool for gauging response to treatment in individual patient care as well as in clinical research.
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            Efficacy of peer support interventions for depression: a meta-analysis.

            To assess the efficacy of peer support for reducing symptoms of depression. Medline, PsycINFO, CINAHL and CENTRAL databases were searched for clinical trials published as of April 2010 using Medical Subject Headings and free text terms related to depression and peer support. Two independent reviewers selected randomized controlled trials (RCTs) that compared a peer support intervention for depression to usual care or a psychotherapy control condition. Meta-analyses were conducted to generate pooled standardized mean differences (SMD) in the change in depressive symptoms between study conditions. Seven RCTs of peer support vs. usual care for depression involving 869 participants were identified. Peer support interventions were superior to usual care in reducing depressive symptoms, with a pooled SMD of -0.59 (95% CI, -0.98 to -0.21; P=.002). Seven RCTs with 301 total participants compared peer support to group cognitive behavioral therapy (CBT). There was no statistically significant difference between group CBT and peer interventions, with a pooled SMD of 0.10 (95% CI, -0.20 to 0.39, P=.53). Based on the available evidence, peer support interventions help reduce symptoms of depression. Additional studies are needed to determine effectiveness in primary care and other settings with limited mental health resources. Published by Elsevier Inc.
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              A critical second look at integrated knowledge translation.

              Integrated knowledge translation (IKT) requires active collaboration between researchers and the ultimate users of knowledge throughout a research process, and is being aggressively positioned as an essential strategy to address the problem of underutilization of research-derived knowledge. The purpose of this commentary is to assist potential "knowledge users", particularly those working in policy or service settings, by highlighting some of the more nuanced benefits of the IKT model, as well as some of its potential costs. Actionable outcomes may not be immediately (or ever) forthcoming, but the process of collaboration can result in group-level identity transformation that permits access to different professional perspectives as well as, we suggest, added organizational and social value. As well, the IKT approach provides space for the re-balancing of what is considered "expertise". We offer this paper to help practitioners, administrators and policymakers more realistically assess the potential benefits and costs of engaging in IKT-oriented research. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
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                Author and article information

                Contributors
                416-323-7509 , jennifer.hensel@wchospital.ca
                jay.shaw@wchospital.ca
                jeffsl@smh.ca
                noah.ivers@utoronto.ca
                laura.desveaux@utoronto.ca
                cohenas@smh.ca
                payal.agarwal@wchospital.ca
                walter.wodchis@utoronto.ca
                joshua.tepper@hqontario.ca
                Darren.larsen@ontariomd.com
                anita.mcgahan@rotman.utoronto.ca
                peter.cram@uhn.ca
                geetha.mukerji@wchospital.ca
                mamdanim@smh.ca
                rebecca.yang@wchospital.ca
                ivy.wong@wchospital.ca
                nike.onabajo@wchospital.ca
                jamiesont@smh.ca
                sacha.bhatia@wchospital.ca
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                18 October 2016
                18 October 2016
                2016
                : 16
                : 350
                Affiliations
                [1 ]Women’s College Hospital Institute for Health Systems Solutions and Virtual Care, Women’s College Hospital, 76 Grenville St, Toronto, ON Canada
                [2 ]Department of Psychiatry, Women’s College Hospital and University of Toronto, 76 Grenville St, Toronto, ON Canada
                [3 ]Women’s College Research Institute, Women’s College Hospital, 76 Grenville St, Toronto, ON Canada
                [4 ]Li Ka Shing Knowledge Institute, St. Michael’s Hospital, 209 Victoria St, Toronto, ON Canada
                [5 ]Department of Family and Community Medicine, Women’s College Hospital and University of Toronto, 76 Grenville St, Toronto, ON Canada
                [6 ]Institute for Health Policy, Management and Evaluation, University of Toronto, 155 College St, Toronto, ON Canada
                [7 ]Institute for Clinical Evaluative Sciences, 2075 Bayview Ave, Toronto, ON Canada
                [8 ]Department of Family and Community Medicine, University of Toronto, 500 University Ave, Toronto, ON Canada
                [9 ]Women’s College Hospital Family Health Centre, 77 Grenville St, Toronto, ON Canada
                [10 ]OntarioMD, 150 Bloor St, Toronto, ON Canada
                [11 ]Rotman School of Management, University of Toronto, 105 St. George St, Toronto, ON Canada
                [12 ]Division of General Internal Medicine and Geriatrics, University Health Network and Sinai Health System, and University of Toronto, 600 University Ave, Toronto, ON Canada
                [13 ]Department of Medicine, University of Toronto, 1 King’s College Circle #3172, Toronto, ON Canada
                [14 ]Li Ka Shing Centre for Healthcare Analytics Research and Training, St. Michael’s Hospital, 209 Victoria St, Toronto, ON Canada
                [15 ]Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College St, Toronto, ON Canada
                Article
                1057
                10.1186/s12888-016-1057-5
                5069942
                27756281
                0776e1b8-45a2-4484-a014-f488a98dd46f
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 September 2016
                : 30 September 2016
                Funding
                Funded by: Canada Health Infoway
                Funded by: FundRef http://dx.doi.org/10.13039/501100000226, Ontario Ministry of Health and Long-Term Care;
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2016

                Clinical Psychology & Psychiatry
                web-based,internet,virtual care,implementation,self-management,recovery

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