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
Hensel et al. BMC Psychiatry (2016) 16:350
DOI 10.1186/s12888-016-1057-5
STUDY PROTOCOL
Open Access
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
Jennifer M. Hensel1,2,3*, Jay Shaw1,3, Lianne Jeffs4, Noah M. Ivers1,3,5,6, Laura Desveaux1,3, Ashley Cohen4,
Payal Agarwal1, Walter P. Wodchis6,7, Joshua Tepper6,8, Darren Larsen1,8,9,10, Anita McGahan11, Peter Cram12,
Geetha Mukerji1,6,13, Muhammad Mamdani6,14,15, Rebecca Yang1, Ivy Wong1, Nike Onabajo1, Trevor Jamieson1
and R. Sacha Bhatia1,3,13
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-ofpocket 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.
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* Correspondence:
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
Full list of author information is available at the end of the article
© 2016 The Author(s). Open Access This 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.
Hensel et al. BMC Psychiatry (2016) 16:350
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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).
Keywords: Web-based, Internet, Virtual care, Implementation, Self-management, Recovery
Background
Mental illness is a substantial and rising contributor to the
global burden of disease [1]. In Canada, 1 in 5 people are
affected by this leading cause of disability, associated with
more than $51 billion CAD in annual costs [2]. Utilization
of mental health care, however, is limited by structural
barriers such as specialist availability, geography, time, outof-pocket costs for patients [3, 4], and attitudinal barriers
including stigma [4]. It is estimated that under-recognition
and/or stigma act as obstacles to accessing care for at least
50 % of those affected [4–6].
Innovative solutions such as virtual care, broadly
defined as any remote interaction between patients and/
or health care providers using any form of information
technology to enhance healthcare [7, 8], are rapidly
entering the health care domain. While these innovative
solutions may address some mental health care access
issues through components such as anonymity and rapid
availability, their advancement and adoption often
occurs in the absence of rigorous evaluation and
adequate planning for sustainability and spread [9].
Studies evaluating virtual mental health applications
have demonstrated conflicting findings, with some trials
demonstrating no benefits [10] and others demonstrating
substantial improvement among participants [11]. These
conflicting findings illustrate the importance of studying
the processes of implementation, including contextual
factors, and the mechanisms of action that help to determine whether and how virtual mental health applications
have effects on patient outcomes [12]. Although a wide
variety of theories and methods are available to focus
attention on key issues in the adoption and scale-up of
new technologies, these are only recently being applied in
large implementation studies [13, 14].
In the province of Ontario, Canada, the Ontario Telemedicine Network (OTN), a non-profit and governmentfunded organization, is the largest provider of telemedicine
services [15]. In 2015, OTN conducted a selection process
to initiate a series of pilot telehomecare interventions for
patients with chronic conditions, ultimately choosing to test
Big White Wall (BWW) for those struggling with mental
health. This manuscript describes the approach to the
evaluation of this virtual mental health application within
the local health care system in Ontario, Canada.
Virtual care application: Big white wall
BWW is an internet-based application, built on evidencebased components of mental health care (eg. peer support
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