Evidence map›Paper›PMID 41125276›Full record

ArticleBMJ open2025

Implementing a Scalable, personalised, behaviour Change digitAL hEalth programme in primary care for type 2 diabetes treatment: the SCALE cluster-randomised study protocol.

Mahsa Shahidi, Barbora deCourten, Jasmine Glennan, Jane Assange, Kean Seng-Lim, Glen Maberly, Grant Brinkworth, Gideon Meyerowitz-Katz

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Mahsa ShahidiWestern Sydney Diabetes, Western Sydney Local Health District, Blacktown, New South Wales, Australia.
Barbora deCourtenDepartment of Health and Biomedical Sciences, Royal Melbourne Institute of Technology, Melbourne, Victoria, Australia.
Jasmine GlennanWestern Sydney Primary Health Network (Wentwest), Westmead, New South Wales, Australia.
Jane AssangeWestern Sydney Primary Health Network (Wentwest), Westmead, New South Wales, Australia.
Kean Seng-LimMount Druitt Medical Centre, Mt Druitt, New South Wales, Australia.
Glen MaberlyWestern Sydney Diabetes, Western Sydney Local Health District, Blacktown, New South Wales, Australia.
Grant BrinkworthDiabetes Australia, New South Wales, Glebe, New South Wales, Australia.
Gideon Meyerowitz-KatzThe University of Sydney School of Public Health, Sydney, New South Wales, Australia gideon.meyerowitzkatz@health.nsw.gov.au.ORCID http://orcid.org/0000-0002-1156-9345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionType 2 diabetes mellitus (T2DM) is a fast-growing chronic disease, with at least 1.3 million people diagnosed in Australia. In the Western Sydney Local Health District (WSLHD), an estimated 13.1% of all adults have T2DM. The condition significantly contributes to cardiovascular, heart and kidney diseases and causes a large disease burden. Lifestyle modifications, such as improved nutrition, increased physical activity and stress reduction, are recommended as first-line treatments for T2DM management. However, the current primary care system cannot meet the growing demands for diabetes care, necessitating the development of innovative, scalable, cost-effective solutions. Digital health technologies present a promising approach for promoting self-management in individuals with T2DM. METHODS AND ANALYSIS: This cluster-randomised controlled trial aims to evaluate the feasibility and effectiveness of Gro-AUS, a localised version of the Gro Health app in Australia, to support T2DM management in Australian primary care settings. The trial will be conducted across multiple general practice clinics within the WSLHD, an area with a high prevalence of T2DM and significant cultural diversity in patient populations. Participants will be randomly assigned by clinic to either the intervention group (digital health programme) or control group (standard care). Primary outcomes include improvements in glycaemic control, cardiovascular risk factors and diabetes remission, with secondary outcomes such as weight loss, physical activity and mental well-being. Data will be collected using electronic and paper methods, with secure storage and de-identification ensuring participant privacy. The study's mixed-method approach ensures inclusivity for patients with varying levels of digital literacy. Data will be securely stored, de-identified and used to assess the effectiveness of the intervention. Findings are expected to inform future models of diabetes care in Australia, providing evidence for the scalability of digital health technologies in chronic disease management. STRENGTHS AND LIMITATIONS: This trial is by nature unblinded. The recruitment style for a stepped-wedge trial may also bias participant engagement. However, it has direct implications for clinical practice as an effectiveness implementation trial. The design also allows for a much larger sample and more statistical power to examine outcomes. ETHICS AND DISSEMINATION: This trial has been prospectively registered with the Australian New Zealand Clinical Trials Registry. Ethical approval has been granted by the WSLHD Human Research Ethics Committee prior to data collection. Results will be disseminated through publication in a peer-reviewed medical journal and shared via the Agency for Clinical Innovation, the Primary Care Health Network and through community engagement initiatives.

trial registrationANZCTR388639.

Indexed as

Diabetes Mellitus, Type 2Mobile ApplicationsSelf-ManagementAustraliaDigital HealthHumansPrimary Health CareRandomized Controlled Trials as TopicTelemedicineClinical TrialCommunity ParticipationDigital TechnologyGeneral diabetes

Identifiers

PMID41125276
PMCPMC12548607

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.