Evidence map›Paper›PMID 41130703›Full record

ArticleBMJ open2025

Wearables Integrated Technology to support healthy behaviours in general practice patients with type 2 diabetes (WEAR-IT): study protocol for a cluster randomised controlled trial.

Breanne Hobden, Kristy Fakes, Elizabeth J Halcomb, Katharine Wallis, Glen Maberly, Kean Seng-Lim, Christopher Doran, Christopher Oldmeadow, Gideon Meyerowitz-Katz, Stijn Soenen and 1 more

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Breanne HobdenSchool of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia Bree.Hobden@newcastle.edu.au.ORCID http://orcid.org/0000-0002-8489-6152
Kristy FakesSchool of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.ORCID http://orcid.org/0000-0002-7217-9578
Elizabeth J HalcombSchool of Nursing, University of Wollongong Faculty of Science Medicine and Health, Wollongong, New South Wales, Australia.ORCID http://orcid.org/0000-0001-8099-986X
Katharine WallisGeneral Practice, University of Queensland, Brisbane, Queensland, Australia.
Glen MaberlyIntegrated and Community Health, Western Sydney Local Health District, Blacktown, New South Wales, Australia.
Kean Seng-LimMt Druitt Medical Centre, Mt Druitt, New South Wales, Australia.
Christopher DoranCluster for Resilience and Wellbeing, Manna and Appleton Institutes, Central Queensland University, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-9009-4906
Christopher OldmeadowData Sciences, The Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.
Gideon Meyerowitz-KatzIntegrated and Community Health, Western Sydney Local Health District, Blacktown, New South Wales, Australia.ORCID http://orcid.org/0000-0002-1156-9345
Stijn SoenenFaculty of Health Sciences and Medicine, Bond University, City of Gold Coast, Queensland, Australia.
Nicholas ZwarFaculty of Health Sciences and Medicine, Bond University, City of Gold Coast, Queensland, Australia.ORCID http://orcid.org/0000-0001-6462-9121

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionType 2 diabetes is a prevalent chronic disease, associated with health complications, premature morbidity and significant healthcare costs. Optimal lifestyle behaviour control and patient self-management are crucial for improving diabetes control; however, they are difficult to achieve in primary care. There is limited research on the use of information from wearable devices to encourage behaviour change. This study will examine the effectiveness and cost-effectiveness of a multi-component health behaviour intervention in achieving clinically significant reductions in haemoglobin A1c (HbA1c) among general practice patients with type 2 diabetes. METHODS AND ANALYSIS: The study uses a cluster-randomised controlled design, with general practices randomly assigned to either the Wearables Integrated Technology (WEAR-IT) intervention (n=15) or usual care (n=15). To achieve a sample size of 375 participants, 12-13 patients per practice will be recruited. Patients diagnosed with type 2 diabetes will be eligible to participate if they are aged 18-75 years; have had poorly controlled diabetes (HbA1c≥7.5%), with the cognitive capacity and ability to access the intervention application via an iOS or Android smart device. The WEAR-IT self-management intervention combines information from wearable devices (physical activity, blood glucose and blood pressure) and the electronic medical record, with goal setting and coaching support. The intervention will be primarily delivered by the general practice nurse, with review and confirmation of goals by the general practitioner. Participants attending the usual care practices will receive standard care. Outcome measures, including HbA1c, lipids, blood pressure, quality of life, dietary and exercise behaviours and cost-effectiveness, will be collected at baseline, 6-month (primary endpoint) and 12-month post-randomisation. The primary analysis will compare the change in HbA1c between the intervention and control groups at 6-month follow-up, with long-term outcomes assessed at 12-month post-randomisation. ETHICS AND DISSEMINATION: The study was approved by Bond University (BH00137). Results will be disseminated through peer-reviewed journal publications, conference presentations and summaries to participating sites and patients. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ACTRN12624000957594).

Indexed as

Diabetes Mellitus, Type 2General PracticeHealth BehaviorSelf-ManagementWearable Electronic DevicesAdolescentAdultAgedBlood GlucoseCost-Benefit AnalysisExerciseFemaleGlycated HemoglobinHumansMaleMiddle AgedBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanDiabetes Mellitus, Type 2Primary Health CarePUBLIC HEALTHRandomized Controlled TrialSelf-ManagementWearable Electronic Devices

Identifiers

PMID41130703
PMCPMC12551555

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.