Evidence map›Paper›PMID 33655766›Full record

ArticleJournal of diabetes science and technology2022

An Intuitive Risk Communication Tool to Enhance Patient-Provider Partnership in Diabetes Consultation.

Thomas Rouyard, José Leal, Dario Salvi, Richard Baskerville, Carmelo Velardo, Alastair Gray

Registry-linked trialAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06607497 (Better Risk Perception Via Patient Similarity to Control Hyperglycemia and Sustained by Telemonitoring), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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.

NCT06607497 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Better Risk Perception Via Patient Similarity to Control Hyperglycemia and Sustained by Telemonitoring

TypeinterventionalSponsorSingHealth PolyclinicsRan2024 to 2026Enrolled360ConditionsDiabetes Mellitus, Type 2ArmsIntervention using an AI enabled risk communication tool (PERDICT.AI), Telemonitoring with Primary Tech Enhanced Care (PTEC-DM)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

6 authors.

Thomas RouyardNuffield Department of Population Health, Health Economics Research Centre, University of Oxford, Oxford, UK.ORCID 0000-0001-6412-1360
José LealNuffield Department of Population Health, Health Economics Research Centre, University of Oxford, Oxford, UK.
Dario SalviDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Richard BaskervilleNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Carmelo VelardoDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Alastair GrayNuffield Department of Population Health, Health Economics Research Centre, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis technology report introduces an innovative risk communication tool developed to support providers in communicating diabetes-related risks more intuitively to people with type 2 diabetes mellitus (T2DM).

methodsThe development process involved three main steps: (1) selecting the content and format of the risk message; (2) developing a digital interface; and (3) assessing the usability and usefulness of the tool with clinicians through validated questionnaires.

resultsThe tool calculates personalized risk information based on a validated simulation model (United Kingdom Prospective Diabetes Study Outcomes Model 2) and delivers it using more intuitive risk formats, such as "effective heart age" to convey cardiovascular risks. Clinicians reported high scores for the usability and usefulness of the tool, making its adoption in routine care promising.

conclusionsDespite increased use of risk calculators in clinical care, this is the first time that such a tool has been developed in the diabetes area. Further studies are needed to confirm the benefits of using this tool on behavioral and health outcomes in T2DM populations.

Indexed as

Diabetes Mellitus, Type 2CommunicationHumansProspective StudiesReferral and ConsultationUnited Kingdomprimary carerisk communicationrisk perceptionsshared decision makingtype 2 diabetes mellitus

Identifiers

PMID33655766
PMCPMC9264433

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Registered trials

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.