Evidence mapPaperPMID 40466203Full record

ReviewJMIR diabetes2025

Evaluating Digital Health Solutions in Diabetes and the Role of Patient-Reported Outcomes: Targeted Literature Review.

Paco Cerletti, Michael Joubert, Nick Oliver, Saira Ghafur, Pasquale Varriale, Ophélie Wilczynski, Marlene Gyldmark

Abstract readReview
In one paragraph

Review in JMIR diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Paco CerlettiRoche Diagnostics, Grenzacherstrasse 124, Basel, 4058, Switzerland, 41797072197.ORCID http://orcid.org/0000-0001-5792-2135
Michael JoubertCaen University Hospital - UNICAEN, Caen, France.ORCID http://orcid.org/0000-0002-8731-7355
Nick OliverDepartment of Diabetes, Endocrinology, and Reproduction, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-3525-3633
Saira GhafurDepartment of Diabetes, Endocrinology, and Reproduction, Imperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-4487-6904
Pasquale VarrialeCarenity, Paris, France.ORCID http://orcid.org/0000-0002-8154-3124
Ophélie WilczynskiCarenity, Paris, France.ORCID http://orcid.org/0000-0002-4151-0731
Marlene GyldmarkRoche Diagnostics, Grenzacherstrasse 124, Basel, 4058, Switzerland, 41797072197.ORCID http://orcid.org/0000-0002-9201-2513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health solutions (DHS) are technologies with the potential to improve patient outcomes as well as change the way care is delivered. The value of DHS for people with diabetes is not well understood, nor is it clear how to quantify this value. Objective: We aimed to summarize current literature on the use of patient-reported outcome measures (PROMs) in diabetes as well as in selected guidelines for Health Technology Assessment (HTA) of DHS to highlight gaps, needs, and opportunities for the use of PROMs to evaluate DHS. Methods: We searched PubMed and ClinicalTrials.gov to establish which PROMs were most used in diabetes clinical trials and research between 1995 and May 2024. HTA guidelines on DHS evaluation from France, Germany, and the United Kingdom were also assessed to identify PROMs for DHS evaluation in general. Results: A total of 46 diabetes-specific PROMs and 16 nondiabetes-specific PROMs were identified. The most used diabetes-specific PROMs were (1) Diabetes Distress Scale, (2) Problem Areas in Diabetes, (3) Diabetes Empowerment Scale, (4) Diabetes Quality of Life, and (5) Diabetes Treatment Satisfaction Questionnaire. The most used nondiabetes-specific PROMs were Beck Depression Inventory, Sickness Impact Profile, EuroQol 5-Dimension, and Short Form 36-Item Health Survey. In HTA guidelines, the most prominent domain was health-related quality of life, for whose assessment there are well-established measures (Short Form 36-Item Health Survey and EuroQol 5-Dimension). Conclusions: Of the many PROMs used in diabetes care, few are currently used to evaluate DHS, and certain domains of value in diabetes are not mentioned in HTA guidelines. A common, comprehensive DHS-specific HTA framework could facilitate and accelerate the evaluation of DHS.

Indexed as

clinical trialsdiabetesdiabetes carediabetes mellitusdiabeticdiabetic patientsdigital healthdigital health solutionsevaluationhealth-relatedhealth technologyhealth technology assessmentpatient carepatient-reported outcomepeople with diabetestreatmenttype 1 diabetestype 2 diabetes

Identifiers

PMID40466203
PMCPMC12158397

What Socratic holds

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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 Socratic graph.