Evidence map›Paper›PMID 35877679›Full record

ArticlePloS one2022

A user preference analysis of commercial breath ketone sensors to inform the development of portable breath ketone sensors for diabetes management in young people.

Nicola Brew-Sam, Jane Desborough, Anne Parkinson, Krishnan Murugappan, Eleni Daskalaki, Ellen Brown, Harry Ebbeck, Lachlan Pedley, Kristal Hannon, Karen Brown and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.2field-weighted citation impact, top 47% of its field
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, 2 citations in OpenAlex.

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 at 1 institution in 2 countries.

Nicola Brew-SamNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.ORCID 0000-0001-7544-4499
Jane DesboroughNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.ORCID 0000-0003-1406-4593
Anne ParkinsonNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.
Krishnan MurugappanNanotechnology Research Laboratory, Research School of Chemistry, ANU College of Science, Australian National University, Canberra, Australia.ORCID 0000-0002-6845-4653
Eleni DaskalakiSchool of Computing, ANU College of Engineering and Computer Science, Australian National University, Canberra, Australia.
Ellen BrownNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.
Harry EbbeckNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.
Lachlan PedleyNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.
Kristal HannonNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.
Karen BrownNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.
Elizabeth PedleyNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.
Genevieve EbbeckNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, Australian National University, Canberra, Australia.
Antonio TricoliNanotechnology Research Laboratory, Research School of Chemistry, ANU College of Science, Australian National University, Canberra, Australia.
Hanna SuominenSchool of Computing, ANU College of Engineering and Computer Science, Australian National University, Canberra, Australia.
Christopher J NolanCanberra Health Services, Canberra, Australia.
Christine PhillipsSchool of Medicine and Psychology, ANU College of Health and Medicine, Australian National University, Canberra, Australia.
Australian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPortable breath ketone sensors may help people with Type 1 Diabetes Mellitus (T1DM) avoid episodes of diabetic ketoacidosis; however, the design features preferred by users have not been studied. We aimed to elucidate breath sensor design preferences of young people with T1DM (age 12 to 16) and their parents to inform the development of a breath ketone sensor prototype that would best suit their diabetes management needs. RESEARCH DESIGNS AND

methodsTo elicit foundational experiences from which design preference ideas could be generated, two commercially available breath ketone sensors, designed for ketogenic diet monitoring, were explored over one week by ten young people with T1DM. Participants interacted with the breath ketone sensing devices, and undertook blood ketone testing, at least twice daily for five days to simulate use within a real life and ambulatory care setting. Semi-structured interviews were conducted post-testing with the ten young participants and their caregivers (n = 10) to elicit preferences related to breath sensor design and use, and to inform the co-design of a breath ketone sensor prototype for use in T1DM self-management. We triangulated our data collection with key informant interviews with two diabetes educators working in pediatric care about their perspectives related to young people using breath ketone sensors.

resultsParticipants acknowledged the non-invasiveness of breath sensors as compared to blood testing. Affordability, reliability and accuracy were identified as prerequisites for breath ketone sensors used for diabetes management. Design features valued by young people included portability, ease of use, sustainability, readability and suitability for use in public. The time required to use breath sensors was similar to that for blood testing. The requirement to maintain a 10-second breath exhalation posed a challenge for users. Diabetes educators highlighted the ease of use of breath devices especially for young people who tended to under-test using blood ketone strips.

conclusionsBreath ketone sensors for diabetes management have potential that may facilitate ketone testing in young people. Our study affirms features for young people that drive usability of breath sensors among this population, and provides a model of user preference assessment.

Indexed as

Diabetes Mellitus, Type 1Diabetic KetoacidosisAdolescentChildExhalationHumansKetonesReproducibility of ResultsKetones

Identifiers

PMID35877679
PMCPMC9312428
OpenAlexW4287510401

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.