Evidence map›Paper›PMID 41384267›Full record

Trial reportFrontiers in health services2025

The DIAMONDS intervention for type 2 diabetes for people with severe mental illness: findings from a single-group feasibility study.

J V E Brown, C Carswell, D Podmore, I Featherstone, S Alderson, J R Böhnke, T Doran, M Hadjiconstantinou, C E Hewitt, R I G Holt and 10 more

Abstract readClinical Trial
In one paragraph

Trial report in Frontiers in health services, 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

20 authors.

J V E BrownDepartment of Health Sciences, University of York, York, United Kingdom.
C CarswellDepartment of Health Sciences, University of York, York, United Kingdom.
D PodmoreDepartment of Health Sciences, University of York, York, United Kingdom.
I FeatherstoneDepartment of Health Sciences, University of York, York, United Kingdom.
S AldersonLeeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.
J R BöhnkeDepartment of Health Sciences, University of York, York, United Kingdom.
T DoranDepartment of Health Sciences, University of York, York, United Kingdom.
M HadjiconstantinouDiabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, United Kingdom.
C E HewittDepartment of Health Sciences, University of York, York, United Kingdom.
R I G HoltHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
R JacobsCentre for Health Economics, University of York, York, United Kingdom.
V JohnsonLeicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.
I KellarSchool of Psychology, University of Sheffield, Sheffield, United Kingdom.
J LiDepartment of Health Sciences, University of York, York, United Kingdom.
D P OsbornDivision of Psychiatry, University College London, London, United Kingdom.
G RussellBradford District Care NHS Foundation Trust, Bradford, United Kingdom.
J WatsonDepartment of Health Sciences, University of York, York, United Kingdom.
N SiddiqiDepartment of Health Sciences, University of York, York, United Kingdom.
P A CoventryDepartment of Health Sciences, University of York, York, United Kingdom.
DIAMONDS Research Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes self-management is critical for improving health outcomes, but people with severe mental illness (SMI) face additional barriers that complicate effective engagement with self-management behaviours and with existing diabetes services. This feasibility study assessed the acceptability and feasibility of the DIAMONDS intervention, a tailored type 2 diabetes (T2D) self-management programme designed for people with SMI and delivered by trained coaches over 16 weekly sessions, in preparation for a future randomised controlled trial (RCT). Thirty participants with both T2D and SMI were recruited, and 29 were included in the study. The thresholds for participant recruitment and retention for progression to the RCT were met. Twenty-three participants (66%) attended at least one intervention session. Consistent weekly participation proved challenging, with only 15 participants (52%) attending eight or more (50%+) sessions. However, the intervention was acceptable to both participants and coaches, as indicated by coach session logs. High completion rates were observed for self-reported measures, while physical health data and data from primary care records had some omissions, prompting refinements in data collection for the RCT. This study highlights the feasibility and acceptability of delivering an evaluation of a structured diabetes self-management intervention in people with SMI. Some modifications to study processes will be required before moving to the main RCT, including adjustments to intervention delivery (including more flexibility in the timing of intervention sessions and coach training to improve confidence in supporting the use of a mobile app), data collection processes, and intervention fidelity assessment for the RCT, to enhance adherence and accommodating the complex needs of this population. This study represents an important step towards the development and robust evaluation of a self-management intervention to improve diabetes outcomes for people with SMI, addressing a significant gap in health equity. Clinical Trial Registration: https://www.isrctn.com/ISRCTN15328700, ISRCTN 15328700.

Indexed as

feasibility and acceptabilityintegrated careself-managementserious mental illness (SMI)type 2 diabetes

Identifiers

PMID41384267
PMCPMC12689556

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Registered trials

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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.