Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04602741 |
Other study ID # |
028/2020 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
January 4, 2021 |
Est. completion date |
June 1, 2023 |
Study information
Verified date |
August 2023 |
Source |
Centre for Addiction and Mental Health |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The effective treatment of schizophrenia is very challenging due to a number of factors.
These include issues such as poor engagement with treatment plans and care providers, limited
contacts with providers due to under-resourced health services, and the challenges inherent
to schizophrenia symptoms. The outcomes of these problems include frequent, lengthy, and
costly hospital readmissions, low quality of life, high levels of distress, and difficulties
engaging in valued community roles. Digital Health technologies are a promising model to help
address these problems. They are a low cost and accessible form of support and have not been
substantively developed or studied for people with schizophrenia spectrum illnesses. In this
study, the feasibility of one such technology that is in development will be tested:
App4Independence (A4i). A4i provides customized coping prompts, peer-peer networking, and a
portal that facilitates better provider engagement. This research will provide critical
information in the development of this new technology to address a key problem in the field -
how to enhance care in a resource-limited context where provider-patient contacts are brief,
infrequent, and rely on in the moment recall and self-advocacy by patients. These findings
will lay the groundwork for a larger program of research and software development that will
(i) validate the technology across multiple sites and, (ii) catalyze engagement with
healthcare systems and caregiver networks to scale-out access to this promising resource.
Description:
Problem Statement: Among schizophrenia-spectrum populations, adherence to treatment is poor,
community-based supports are limited, and efforts to foster illness self-management have had
limited success. These challenges contribute to frequent, lengthy, and costly hospital
readmissions and poor functional outcomes. Digital health strategies, in turn, hold
considerable promise in the effort to address these problems. Across healthcare domains,
digital health is a rapidly growing area due to its potential reach, accessibility, low cost,
and implications for the use of data to customize treatments and identify risk trajectories.
Despite this promise and for reasons that are not entirely clear, the development and study
of digital health strategies for more severe mental health conditions such as schizophrenia
is much less developed than other domains of healthcare.
Objective: This feasibility trial will examine a digital health platform designed to enhance
illness self-management and treatment engagement for individuals with schizophrenia.
Technology: The investigators and collaborators have developed and piloted a digital
technology called App4Independence (A4i). This platform was designed to (i) help prevent
social isolation through behavioral activation prompts and peer-peer strategy sharing, (ii)
enhance coping with schizophrenia symptoms through functions that draw on evidence-based
strategies (e.g., texted tips derived from cognitive and behavioral therapies) and provide a
novel technology that assists with the identification of auditory hallucinations, (iii)
enhance treatment adherence through scheduling, text and reminder functions, (iv) track level
of wellness/risk and progress on personal goals through both active (self-ratings) and
passive (sleep monitoring proxy) metrics, and (v) facilitate communications with care
providers through a provider dashboard summarizing platform-collected data gathered between
appointments.
Partners: This study builds on a partnership between the Centre for Addiction and Mental
Health (research capability, mental health service and associated expertise, access to
patient populations) and MEMOTEXT, a health technology company with a track record of success
in digital health approaches across multiple health conditions and care contexts.
Study Design: This single blind, randomized controlled trial examines the feasibility of A4i.
Feasibility metrics include study recruitment and retention, rate of technology use, safety,
and utility in clinical interactions. Other outcome metrics include symptomatology, treatment
adherence, patient-provider alliance, and quality of life. In this trial, study participants
will be randomized to either treatment or control conditions, with pre-post outcomes measured
over a 6-month period.
Implications: This research will provide critical information for the development of this new
technology in the larger effort to address a key problem in the schizophrenia field - how to
leverage technology to enhance illness self-management and care engagement in
resource-limited service contexts. These findings will lay the groundwork for larger trials
assessing the impacts of A4i on hospital readmission and functioning - providing essential
evidence for commercialization and expanded access to this tool. This work is at the
forefront of international efforts to explore and validate digital health approaches for
schizophrenia.