Evidence map›Paper›PMID 36696176›Full record

ArticleJMIR diabetes2023

Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study.

Nicola Brew-Sam, Anne Parkinson, Madhur Chhabra, Adam Henschke, Ellen Brown, Lachlan Pedley, Elizabeth Pedley, Kristal Hannan, Karen Brown, Kristine Wright and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR diabetes, 2023. 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. 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

15 authors.

Nicola Brew-SamNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0001-7544-4499
Anne ParkinsonNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0001-9053-0707
Madhur ChhabraNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0002-8823-747X
Adam HenschkePhilosophy Section, Faculty of Behavioural, Management, and Social Sciences, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-2956-0883
Ellen BrownNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0001-7924-4857
Lachlan PedleyNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0003-0212-3656
Elizabeth PedleyNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0002-0602-1609
Kristal HannanNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0003-1039-4544
Karen BrownNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0002-3312-120X
Kristine WrightNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0002-7649-900X
Christine PhillipsSchool of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0001-5602-3664
Antonio TricoliNanotechnology Research Laboratory, Faculty of Engineering, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-4964-2111
Christopher J NolanSchool of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0002-6964-3819
Hanna SuominenSchool of Computing, College of Engineering, Computing and Cybernetics, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0002-4195-1641
Jane DesboroughNational Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0003-1406-4593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn important strategy to understand young people's needs regarding technologies for type 1 diabetes mellitus (T1DM) management is to examine their day-to-day experiences with these technologies.

objectiveThis study aimed to examine young people's and their caregivers' experiences with diabetes technologies in an exploratory way and relate the findings to the existing technology acceptance and technology design theories. On the basis of this procedure, we aimed to develop device characteristics that meet young people's needs.

methodsOverall, 16 in-person and web-based face-to-face interviews were conducted with 7 female and 9 male young people with T1DM (aged between 12 and 17 years) and their parents between December 2019 and July 2020. The participants were recruited through a pediatric diabetes clinic based at Canberra Hospital. Data-driven thematic analysis was performed before theory-driven analysis to incorporate empirical data results into the unified theory of acceptance and use of technology (UTAUT) and value-sensitive design (VSD). We used the COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist for reporting our research procedure and findings. In this paper, we summarize the key device characteristics that meet young people's needs.

resultsSummarized interview themes from the data-driven analysis included aspects of self-management, device use, technological characteristics, and feelings associated with device types. In the subsequent theory-driven analysis, the interview themes aligned with all UTAUT and VSD factors except for one (privacy). Privacy concerns or related aspects were not reported throughout the interviews, and none of the participants made any mention of data privacy. Discussions around ideal device characteristics focused on reliability, flexibility, and automated closed loop systems that enable young people with T1DM to lead an independent life and alleviate parental anxiety. However, in line with a previous systematic review by Brew-Sam et al, the analysis showed that reality deviated from these expectations, with inaccuracy problems reported in continuous glucose monitoring devices and technical failures occurring in both continuous glucose monitoring devices and insulin pumps.

conclusionsOur research highlights the benefits of the transdisciplinary use of exploratory and theory-informed methods for designing improved technologies. Technologies for diabetes self-management require continual advancement to meet the needs and expectations of young people with T1DM and their caregivers. The UTAUT and VSD approaches were found useful as a combined foundation for structuring the findings of our study.

Indexed as

data- and theory-driven analysisimproved device designtype 1 diabetes mellitusunified theory of acceptance and use of technologyUTAUTvalue-sensitive designyoung people

Identifiers

PMID36696176
PMCPMC9947809

What Socratic holds

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LicenceCC BY
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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.