Validation of the InnoWell Platform: Protocol for a Clinical Trial.

clinical trial protocol medical informatics mental health suicide

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
31 May 2019
Historique:
received: 07 03 2019
accepted: 01 05 2019
revised: 01 05 2019
entrez: 2 6 2019
pubmed: 4 6 2019
medline: 4 6 2019
Statut: epublish

Résumé

New electronic health technologies are being rapidly developed to improve the delivery of mental health care for both health professionals and consumers and better support self-management of care. We developed a Web-based platform (the InnoWell Platform) that supports the prevention, early intervention, treatment, and continuous monitoring of mental health and maintenance of well-being in people aged 2 years and older. The platform is a customizable digital tool kit that operates through existing service providers who utilize the system to provide their consumers with access to evidence-based assessments and feedback, intervention options, and outcome monitoring. It does this by collecting, storing, and reporting personal and health information back to consumers and their health professionals to promote collaborative care partnerships that aim to improve the management of mental ill health and maintenance of well-being. The aim of this study was to describe the research protocol for a naturalistic prospective clinical trial wherein all consumers presenting for care to a traditional face-to-face or Web-based mental health service in which the InnoWell Platform is being offered as part of standard clinical care will be given the opportunity to use the platform. The Web-based platform is a configurable and customizable digital tool that assists in the assessment, monitoring and management of mental ill health, and maintenance of well-being. It does this by collecting, storing, and reporting health information back to the person and his or her clinician to enable transformation to person-centered care. The clinical trial will be conducted with individuals aged 2 years and older presenting to participating services for care, including persons from the veteran community, Aboriginal and Torres Strait Islander people, people from culturally and linguistically diverse backgrounds, the lesbian, gay, bisexual, transgender, and intersex community, and those from broader education and workforce sectors, as well as people with disabilities, lived experience of comorbidity, complex disorders, and suicidality. Project Synergy was funded in June 2017, and data collection began in November 2018 at a youth mental health service. At the time of this publication, 5 additional services have also begun recruitment, including 4 youth mental health services and a veteran's service. The first results are expected to be submitted in 2020 for publication. This clinical trial will promote access to comprehensive, high-quality mental health care to improve outcomes for consumers and health professionals. The data collected will be used to validate a clinical staging algorithm designed to match consumers with the right level of care and reduce the rate of suicidal thoughts and/or behaviors and suicide by suggesting pathways to care that are appropriate for the identified level of need, while simultaneously enabling a timely service response. Australian New Zealand Clinical Trial Registry ACTRN12618001676202; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374632 (Archived by WebCite at http://www.webcitation.org/78TOi5jwl). DERR1-10.2196/13955.

Sections du résumé

BACKGROUND BACKGROUND
New electronic health technologies are being rapidly developed to improve the delivery of mental health care for both health professionals and consumers and better support self-management of care. We developed a Web-based platform (the InnoWell Platform) that supports the prevention, early intervention, treatment, and continuous monitoring of mental health and maintenance of well-being in people aged 2 years and older. The platform is a customizable digital tool kit that operates through existing service providers who utilize the system to provide their consumers with access to evidence-based assessments and feedback, intervention options, and outcome monitoring. It does this by collecting, storing, and reporting personal and health information back to consumers and their health professionals to promote collaborative care partnerships that aim to improve the management of mental ill health and maintenance of well-being.
OBJECTIVE OBJECTIVE
The aim of this study was to describe the research protocol for a naturalistic prospective clinical trial wherein all consumers presenting for care to a traditional face-to-face or Web-based mental health service in which the InnoWell Platform is being offered as part of standard clinical care will be given the opportunity to use the platform.
METHODS METHODS
The Web-based platform is a configurable and customizable digital tool that assists in the assessment, monitoring and management of mental ill health, and maintenance of well-being. It does this by collecting, storing, and reporting health information back to the person and his or her clinician to enable transformation to person-centered care. The clinical trial will be conducted with individuals aged 2 years and older presenting to participating services for care, including persons from the veteran community, Aboriginal and Torres Strait Islander people, people from culturally and linguistically diverse backgrounds, the lesbian, gay, bisexual, transgender, and intersex community, and those from broader education and workforce sectors, as well as people with disabilities, lived experience of comorbidity, complex disorders, and suicidality.
RESULTS RESULTS
Project Synergy was funded in June 2017, and data collection began in November 2018 at a youth mental health service. At the time of this publication, 5 additional services have also begun recruitment, including 4 youth mental health services and a veteran's service. The first results are expected to be submitted in 2020 for publication.
CONCLUSIONS CONCLUSIONS
This clinical trial will promote access to comprehensive, high-quality mental health care to improve outcomes for consumers and health professionals. The data collected will be used to validate a clinical staging algorithm designed to match consumers with the right level of care and reduce the rate of suicidal thoughts and/or behaviors and suicide by suggesting pathways to care that are appropriate for the identified level of need, while simultaneously enabling a timely service response.
TRIAL REGISTRATION BACKGROUND
Australian New Zealand Clinical Trial Registry ACTRN12618001676202; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374632 (Archived by WebCite at http://www.webcitation.org/78TOi5jwl).
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/13955.

Identifiants

pubmed: 31152524
pii: v8i5e13955
doi: 10.2196/13955
pmc: PMC6658233
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e13955

Informations de copyright

©Tracey A Davenport, Haley M LaMonica, Lisa Whittle, Amelia English, Frank Iorfino, Shane Cross, Ian B Hickie. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 31.05.2019.

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Auteurs

Tracey A Davenport (TA)

Brain and Mind Centre, The University of Sydney, Camperdown, Australia.
InnoWell Pty Ltd, Camperdown, Australia.

Haley M LaMonica (HM)

Brain and Mind Centre, The University of Sydney, Camperdown, Australia.
InnoWell Pty Ltd, Camperdown, Australia.

Lisa Whittle (L)

Brain and Mind Centre, The University of Sydney, Camperdown, Australia.
InnoWell Pty Ltd, Camperdown, Australia.

Amelia English (A)

InnoWell Pty Ltd, Camperdown, Australia.

Frank Iorfino (F)

Brain and Mind Centre, The University of Sydney, Camperdown, Australia.
InnoWell Pty Ltd, Camperdown, Australia.

Shane Cross (S)

Brain and Mind Centre, The University of Sydney, Camperdown, Australia.

Ian B Hickie (IB)

Brain and Mind Centre, The University of Sydney, Camperdown, Australia.

Classifications MeSH