SMART: preliminary efficacy, feasibility and acceptability of a theory-informed digital intervention for metabolic health in people with schizophrenia and related disorders
BACKGROUND: People with schizophrenia spectrum disorders (SSD) experience high rates of type 2 diabetes (T2D), mainly due to antipsychotic medication side-effects and lifestyle factors (e.g. suboptimal nutrition and physical inactivity). Digital technologies may reduce T2D risk by complementing face-to-face and pharmacological treatments, through the provision of flexible and personalised psychoeducation and behavioural prompts tailored to end-users. AIMS: This study tested the preliminary efficacy of the Schizophrenia and diabetes Mobile-Assisted Remote Trainer (SMART), a co-designed text message-facilitated intervention, designed to reduce the risk and/or improve self-management of T2D, along with its acceptability and feasibility. METHOD: Using an uncontrolled pre-post design, 29 out-patients of an endocrinology mental health clinic and two community-based rehabilitation mental health facilities used SMART for 12 weeks. The primary outcome was patient activation, measured using the Patient Activation Measure. Secondary outcomes were combined objective cardiometabolic and self-reported health and mental health indicators. Pre-post changes were analysed with a linear mixed model, accounting for within-participant variation. RESULTS: < 0.05) were detected in patient activation, confidence in diabetes self-management and general health management, health literacy and mental health recovery. High levels of acceptability and feasibility were confirmed, with recruitment, retention and adherence rates of 67.4, 92.9 and 93.0%, respectively. CONCLUSIONS: SMART is a world-first digital intervention aimed at improving metabolic health in individuals with SSD. This study provides evidence of its preliminary efficacy in self-management of metabolic health while confirming its high acceptability and feasibility, supporting expansion towards a sufficiently powered controlled trial to assess its clinical effectiveness.
Authors
- Dan J. Siskind (ORCID: https://orcid.org/0000-0002-2072-9216)
- Marlien Varnfield (ORCID: https://orcid.org/0000-0003-4848-0181)
- Urška Arnautovska (ORCID: https://orcid.org/0000-0002-7780-8441)
- Anish Menon (ORCID: https://orcid.org/0000-0002-8176-0292)
- MIKE A. TROTT (ORCID: https://orcid.org/0000-0001-5978-3407)
- Alyssa Milton (ORCID: https://orcid.org/0000-0002-4326-0123)
- Steve R Kisely (ORCID: https://orcid.org/0000-0003-4021-2924)
- Pieter Jansen (ORCID: https://orcid.org/0000-0001-5355-4451)
- Nicole Korman (ORCID: https://orcid.org/0000-0003-1414-1050)
- Anthony Russell
- Andrea Baker (ORCID: https://orcid.org/0000-0002-2475-2413)
- Gabrielle Ritchie
- Jaimon Kelly
Institutions
- Commonwealth Scientific and Industrial Research Organisation (AU)
- The University of Sydney (AU)
- The University of Queensland (AU)
- Mental Health Services (DK)
- Australian Regenerative Medicine Institute (AU)
- The Alfred Hospital (AU)
- FrontLine Service (US)
- Metro South Health (AU)
- Health Sciences and Nutrition (AU)
- Queensland Centre for Mental Health Research (AU)
- ARC Centre of Excellence for Children and Families over the Life Course (AU)
- Monash University (AU)
Publication Details
- Journal
- BJPsych Open
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1192/bjo.2026.11032
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Metro South Health
- Australian Government
- Commonwealth Scientific and Industrial Research Organisation
- Monash University
- University of Queensland
- Medical Research Council
- National Health and Medical Research Council
- Faculty of Medicine and Health, University of Sydney