Evidence map›Paper›PMID 39186719›Full record

ArticlePloS one2024

Development of a target product profile for new glucose self-monitoring technologies for use in low- and middle-income countries.

Elvis Safary, Molly Lepeska, David Beran, Margaret Ewen, Aigerim Zhaparova, Jackie Rukare, Philippa Boulle, Sigiriya Aebischer Perone, Solomzi Makohliso, Stefan Pleus and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. 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

11 authors.

Elvis SafaryFIND, Geneva, Switzerland.ORCID 0000-0002-2341-7760
Molly LepeskaHealth Action International, Amsterdam, Netherlands.
David BeranDivision of Tropical and Humanitarian Medicine, University of Geneva and Geneva University Hospitals, Geneva, Switzerland.
Margaret EwenHealth Action International, Amsterdam, Netherlands.
Aigerim ZhaparovaIndependent Consultant, Bishkek, Kyrgyzstan.
Jackie RukareIndependent Consultant, Kampala, Uganda.
Philippa BoulleMédecins Sans Frontiéres, Geneva, Switzerland.ORCID 0000-0002-5711-2631
Sigiriya Aebischer PeroneDivision of Tropical and Humanitarian Medicine, University of Geneva and Geneva University Hospitals, Geneva, Switzerland.
Solomzi MakohlisoEssential Tech Centre, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Stefan PleusInstitut für Diabetes Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.
Beatrice VetterFIND, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMost glucose self-monitoring devices have been developed with high-income countries in mind. We developed a target product profile (TPP) for new glucose self-monitoring technologies for users in low- and middle-income countries (LMICs).

methodsA draft TPP including 39 characteristics was developed by an expert group including diabetes specialists, device specialists, and people with diabetes, incorporating findings from qualitative research in LMICs. Each characteristic had minimal and optimal requirements for two use cases, frequent and sporadic use. Characteristics requiring refinement were identified via online survey. Characteristics with agreement level <90% for any requirement were reviewed by the expert group and amended as appropriate.

resultsOne characteristic (shelf life) had agreement <75% (both requirements for both use cases). Characteristics with agreement ≥75% and <90% for the frequent use case included infrastructure level, measurement cycle, duration of use before replacement, interchangeability, and calibration (both requirements), and activity log and price per month to end payer (minimal requirement). Intended use (both requirements), accuracy, and price per month to end payer (optimal requirement) had agreement ≥75% and <90% for the sporadic use case.

conclusionsThis TPP will inform developers on requirements for glucose self-monitoring technologies for LMICs, and support decision-makers in evaluating existing devices.

Indexed as

Blood Glucose Self-MonitoringDeveloping CountriesBlood GlucoseDiabetes MellitusHumansBlood Glucose

Identifiers

PMID39186719
PMCPMC11346918

What OpenQuestion 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 OpenQuestion graph.