Feasibility and Outcomes of a Digital Health Support for the Schizophrenia Spectrum
Testing the Feasibility and Outcomes of a Digital Health Support for Individuals With Schizophrenia Spectrum Mental Illnesses
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
General Issues The most common contributors to relapse in schizophrenia and associated mental illnesses are medication non-adherence, social isolation, and inadequate supports. Driven to a large extent by system of care shortcomings and the many challenges presented by symptoms, the impacts of these problems are profound from individual to system levels. This is a global issue, and to date technology has not been substantively leveraged in generating solutions - despite evidence of substantial uptake of relevant technologies by relevant populations. To date, there are few products on the market that address the constellation of issues outlined above. It is an area where a nuanced approach is needed as this illness is highly diverse in presentation, attended by a number of social determinants of health that greatly affect outcomes and, quite commonly, ambivalence with respect to service provider and caregiver engagement. This scenario as it exists for schizophrenia stands in sharp contrast with the many thousands of applications developed for other mental health issues.
Cellphone Based Technologies and Schizophrenia There is a small, emergent literature that is examining the feasibility and outcomes of mobile applications that address schizophrenia. Broadly, targeted mobile and online applications in areas such as cognitive remediation (brain training games) have been found feasible and do not result in any noted risks in their use and there have been promising findings in outcome studies of emergent mHealth strategies for schizophrenia of the kind tested here.
Local Work in this Area to Date
Initial mapping of key domains relevant to an app in this area has been conducted based upon the experience of the collaborators and an understanding of the relevant practice literatures. This initial draft, which might be considered a 'paper prototype', let to the identification of the following needs:
The platform would:
- Help prevent social isolation through personalized prompts, scheduling of activities, and connections to a range of resources relevant to social engagement
- Enhance hopeful and informed engagement in the recovery process through functions that foster resilience and draw upon evidence based strategies to enhance wellness (e.g., personalized affirmations; tip sheets; relaxation exercises)
- Facilitate automated support and link to caregivers
- Encourage and check-in on daily essential activities for patients - addressing memory, attention, and initiation challenges that often occur as a part of this illness
- Provide basic health/safety functionality and track level of wellness
Specifically, the app was designed to be made up of 4 functional areas:
- A needs assessment in order to determine care/interaction pathway, crisis planning and routine builders, accompanied by ongoing assessment to keep components relevant and engaging and to facilitate treatment planning and support by providers.
- Daily interactions and check-in functionality for self-determination of messaging, reward messaging, social interaction content.
- An algorithm to determine content based on ambient and interaction data content triggers and risk flagging built on evidence-based guidelines.
- Self-Management portal and caregiver dashboard.
Research Objective
This study was undertaken to engage in a rigorous process of feasibility testing. This will then be followed by a randomized trial of the beta version that will be generated through the process outlined in this protocol (will be the subject of a subsequent protocol and not addressed here). As such, the objective of this research is to capture and record the process of development of a functional, beta version of this technology. This test includes outcome data derived from 1 month of app use comprised of both qualitative feedback and quantitative outcome data. The objective is to determine feasibility prior to further trials and validation efforts.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Early Phase 1
Contacts and Locations
Study Locations
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Ontario
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Toronto, Ontario, Canada, M5T 1R8
- Centre for Addiction and Mental Health
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Are 18 years of age or older
- Have a schizophrenia spectrum diagnosis
- Own and regularly use a smart phone equipped with an Android operating system and a talk and data plan
- Read and speak conversational English
Exclusion Criteria:
-
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: Use of mHealth Technology
This single arm of the study involves the provision of the mobile health technology entitled App4Independence.
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The mobile, app-based platform was designed to:
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Symptomatology
Time Frame: 1 Month
|
The Brief Symptom Inventory (BSI) assesses the level of psychiatric symptomatology providing both total and subscale scores.
All 53 items are 5-point likert with higher scores meaning higher symptomatology.
For the overall score the total is used and can range from 0-212.
Total scores from each of the 9 subscales are similarly used with higher scores meaning greater subscale symptomatology.
Lowest scores for all are 0, with 20 the highest score for hostility, phobic anxiety, paranoid ideation, psychoticism; 16 the highest score for interpersonal sensitivity; 24 the highest for obsessive compulsive, depression, anxiety; and 28 for somatization.
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1 Month
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Recovery Process Engagement
Time Frame: 1 month
|
Personal Recovery Outcome Measure (PROM) was used to assess degree of engagement in the recovery process.
The prom has 30 items, all 5 point likert with higher scores meaning more recovery engagement.
The metric is the total score (0-120)/4 to provide an adjusted score.
There are no subscales.
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1 month
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Treatment Adherence
Time Frame: 1 month
|
Brief Adherence Rating Scale (BARS) was used to examine implications of A4i for medication use.
A total score ranging from 0-100 is provided with 100 indicating better adherence.
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1 month
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Sean Kidd, PhD, Centre for Addiction and Mental Health
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 84-2016
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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