Evidence map›Paper›PMID 41556117›Full record

ArticleBJPsych open2026

Exploring user perspectives on SMART: qualitative study of novel digital intervention targeting metabolic care in schizophrenia and related disorders.

Urska Arnautovska, Gabrielle Ritchie, Rebecca Soole, Andrea Baker, Nicole Korman, Agata Bialkowski, Dan Siskind, Alyssa Milton

Abstract read
In one paragraph

Article in BJPsych open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Urska ArnautovskaFaculty of Health, Medicine and Behavioural Sciences, The University of Queenslandhttps://ror.org/00rqy9422, Brisbane, Australia.ORCID https://orcid.org/0000-0002-7780-8441
Gabrielle RitchieFaculty of Health, Medicine and Behavioural Sciences, The University of Queenslandhttps://ror.org/00rqy9422, Brisbane, Australia.
Rebecca SooleFaculty of Health, Medicine and Behavioural Sciences, The University of Queenslandhttps://ror.org/00rqy9422, Brisbane, Australia.
Andrea BakerQueensland Centre for Mental Health Research, Brisbane, Australia.
Nicole KormanMetro South Addiction and Mental Health Services, Brisbane, Australia.
Agata BialkowskiBusiness School, The University of Queensland, Brisbane, Australia.
Dan SiskindFaculty of Health, Medicine and Behavioural Sciences, The University of Queenslandhttps://ror.org/00rqy9422, Brisbane, Australia.ORCID https://orcid.org/0000-0002-2072-9216
Alyssa MiltonFaculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-4326-0123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective implementation of novel digital technologies to improve health outcomes requires an in-depth understanding of end-users' perspectives and experiences.

aimsWe sought the perspectives of people with schizophrenia and schizophrenia-related disorders (SSD) on the acceptability of a novel short text message-delivered intervention targeting metabolic health, called Schizophrenia and diabetes Mobile-Assisted Remote Trainer (SMART).

methodTwenty-nine participants with SSD and either at risk of type 2 diabetes (T2D) or with T2D, were recruited from 3 mental health sites in Brisbane, Australia. They were provided, for 12 weeks, with SMART text messages that embedded psychoeducation and behaviour change techniques to facilitate lifestyle behaviours crucial for metabolic health. Interviews explored participants' experiences of SMART, barriers to its use and suggestions for improvement. The qualitative data were collected by three mental health researchers and analysed using thematic analysis.

resultsThree themes were generated: acceptability and user experience, feasibility and implementation considerations, and mechanisms supporting change. SMART was found to be highly accessible and engaging, and participants reported positive lifestyle changes, including healthier eating, increased physical activity, weight loss and smoking cessation. The messages reinforced learning and supported participants' readiness for change.

conclusionsSMART is a world-first digital intervention aimed at improving metabolic health and diabetes self-management in individuals with SSD. High levels of acceptability of SMART highlight its strong potential as a digital innovation that can support its users in protecting their metabolic health while limiting the detrimental side effects of antipsychotic medications.

Indexed as

eHealthmetabolic syndromemHealthmobile phonepsychosis

Identifiers

PMID41556117
PMCPMC12835714

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.