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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069942 | PMC |
http://dx.doi.org/10.1186/s12888-016-1057-5 | DOI Listing |
Hypertension
January 2025
Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, Beijing, China (X.Z., W.X., Y.W.).
Background: Although the information on the validation status of electronic sphygmomanometer (ES) devices in use in health care institutions and households is much more clinically relevant than that of ES models available on the market, it remains insufficient.
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Internet Interv
March 2025
Department of Public Health, University Of Copenhagen, Øster Farimagsgade 5, 1353 København K, Denmark.
Parental relationship dissolution is among the most prevalent life crises for youths and is associated with both short- and long-term intra- and interpersonal struggles. Extant support programs tend to be in-person and in a group format. However, the structure and personnel needed for these programs make them costly to implement, less accessible, and difficult to scale.
View Article and Find Full Text PDFDigit Health
January 2025
Department of Communication, Institute of Collaborative Innovation, Center for Research in Greater Bay Area, University of Macau, Macau, China.
Background: China is experiencing a rapid increase in its aging population, leading to the emergence of significant challenges to improve the quality of life (QoL) of older adults. The study aims to explore the potential benefits of using mobile health technology in improving the QoL for older Chinese adults.
Method: This study utilized a subsample of adults aged 60 and above from a cross-sectional, population-based national survey conducted among Chinese adults (N = 852).
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