Evidence mapPaperPMID 42348536Full record

ArticlePloS one2026

Clinical and cost-effectiveness of the digital intervention, MyWay Diabetes, in people with type 2 diabetes living in Greater Manchester during the COVID-19 pandemic.

Rathi Ravindrarajah, Matthew Gittins, Luke Paterson, Gabriel Rogers, George Tilson, Deborah J Wake, Doogie Brodie, Scott G Cunningham, Naresh Kanumilli, Ewan Jones and 6 more

Abstract read
In one paragraph

Article in PloS one, 2026. 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

16 authors.

Rathi RavindrarajahDivision of Nursing, Midwifery & Social Work, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0003-4875-4912
Matthew GittinsDivision of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, United Kingdom.
Luke PatersonManchester Centre for Health Economics, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom.
Gabriel RogersManchester Centre for Health Economics, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom.
George TilsonDivision of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, United Kingdom.
Deborah J WakeMy Way Digital Health, Dundee, United Kingdom.
Doogie BrodieMy Way Digital Health, Dundee, United Kingdom.
Scott G CunninghamMy Way Digital Health, Dundee, United Kingdom.
Naresh KanumilliNorthenden Group Practice, Manchester, United Kingdom.
Ewan JonesGreater Manchester & Eastern Cheshire Strategic Clinical Networks, Greater Manchester Health & Social Care Partnership, Manchester, United Kingdom.
Peter EltonGreater Manchester & Eastern Cheshire Strategic Clinical Networks, Greater Manchester Health & Social Care Partnership, Manchester, United Kingdom.
Nicola MilneDiabetes, Endocrinology & Metabolism Centre, Manchester Royal Infirmary, Manchester, United Kingdom.ORCID https://orcid.org/0000-0002-2290-4698
Michael Morgan-CurranMyCognition Limited, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-5598-804X
Evangelos KontopantelisDivision of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine, and Health, The University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0001-6450-5815
Thomas AllenManchester Centre for Health Economics, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0002-2972-7911
Martin K RutterDiabetes, Endocrinology & Metabolism Centre, Manchester Royal Infirmary, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe aimed to assess a) whether using the digital intervention, MyWay Diabetes (MWD), during the COVID-19 pandemic in Greater Manchester was associated with improvements in glycaemia and cardiovascular risk factors; and b) the cost-effectiveness of MWD.

methodsFrom 01st July 2019-30th April 2022, we assessed risk factor changes in MWD users (n = 507) with T2D, adjusting for changes in a matched control group of non-users (n = 10,135). Economic evaluation was conducted using United Kingdom Prospective Diabetes Study Outcomes Model version 2.1 simulating 1,000 patients over 40-years based on observed risk factor changes.

resultsOver 2-years follow-up, MWD use was associated with a clinically significant reductions in HbA1c of 3.1 (95%CI: 1.5 to 4.6) mmol/mol and decreases in systolic blood pressure (1.4 (0.2 to 2.6) mmHg) and cholesterol (0.1 (0.02 to 0.2) mmol/L) when compared to non-users. Including medication costs, MWD generated more health (0·015 QALYs) and lower costs (-£67 per person) compared to usual care. Excluding medication costs, MWD generated QALYs at a cost of £389 each, below the NICE threshold of £20,000-30,000/QALY.

interpretationAt population level, the risk factor changes associated with MWD are likely to reduce long-term diabetes-related complications risks and the intervention appears cost-effective.

Indexed as

COVID-19Diabetes Mellitus, Type 2AgedBlood GlucoseCost-Benefit AnalysisCost-Effectiveness AnalysisDigital HealthFemaleGlycated HemoglobinHumansMaleMiddle AgedPandemicsRisk FactorsSARS-CoV-2United KingdomBlood GlucoseGlycated Hemoglobin

Identifiers

PMID42348536
PMCPMC13298753

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.