Evidence map›Paper›PMID 37670884›Full record

ArticleFrontiers in endocrinology2023

Socioeconomic status and diabetes technology use in youth with type 1 diabetes: a comparison of two funding models.

Kate E Lomax, Craig E Taplin, Mary B Abraham, Grant J Smith, Aveni Haynes, Ella Zomer, Katrina L Ellis, Helen Clapin, Sophia Zoungas, Alicia J Jenkins and 4 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Developing a Quality Improvement Framework to Enhance the Health System User Experience for Individuals Living With Type 1 Diabetes: The Reshape T1D Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  8. Article
  9. Review
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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

14 authors.

Kate E LomaxDepartment of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, WA, Australia.
Craig E TaplinDepartment of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, WA, Australia.
Mary B AbrahamDepartment of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, WA, Australia.
Grant J SmithChildren's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
Aveni HaynesChildren's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
Ella ZomerSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Katrina L EllisDepartment of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, WA, Australia.
Helen ClapinChildren's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
Sophia ZoungasSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Alicia J JenkinsDiabetes and Vascular Medicine, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Jenny HarringtonDivision of Endocrinology, Women's and Children's Health Network, North Adelaide, SA, Australia.
Martin I de BockDepartment of Paediatrics, University of Otago, Christchurch, New Zealand.
Timothy W JonesDepartment of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, WA, Australia.
Elizabeth A DavisDepartment of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Technology use, including continuous glucose monitoring (CGM) and insulin pump therapy, is associated with improved outcomes in youth with type 1 diabetes (T1D). In 2017 CGM was universally funded for youth with T1D in Australia. In contrast, pump access is primarily accessed through private health insurance, self-funding or philanthropy. The study aim was to investigate the use of diabetes technology across different socioeconomic groups in Australian youth with T1D, in the setting of two contrasting funding models. Methods: A cross-sectional evaluation of 4957 youth with T1D aged <18 years in the national registry was performed to determine technology use. The Index of Relative Socio-Economic Disadvantage (IRSD) derived from Australian census data is an area-based measure of socioeconomic status (SES). Lower quintiles represent greater disadvantage. IRSD based on most recent postcode of residence was used as a marker of SES. A multivariable generalised linear model adjusting for age, diabetes duration, sex, remoteness classification, and location within Australia was used to determine the association between SES and device use. Results: CGM use was lower in IRSD quintile 1 in comparison to quintiles 2 to 5 (p<0.001) where uptake across the quintiles was similar. A higher percentage of pump use was observed in the least disadvantaged IRSD quintiles. Compared to the most disadvantaged quintile 1, pump use progressively increased by 16% (95% CI: 4% to 31%) in quintile 2, 19% (6% to 33%) in quintile 3, 35% (21% to 50%) in quintile 4 and 51% (36% to 67%) in the least disadvantaged quintile 5. Conclusion: In this large national dataset, use of diabetes technologies was found to differ across socioeconomic groups. For nationally subsidised CGM, use was similar across socioeconomic groups with the exception of the most disadvantaged quintile, an important finding requiring further investigation into barriers to CGM use within a nationally subsidised model. User pays funding models for pump therapy result in lower use with socioeconomic disadvantage, highlighting inequities in this funding approach. For the full benefits of diabetes technology to be realised, equitable access to pump therapy needs to be a health policy priority.

Indexed as

Diabetes Mellitus, Type 1AdolescentAustraliaBlood GlucoseBlood Glucose Self-MonitoringCross-Sectional StudiesHumansTechnologyBlood Glucoseequitymodel of carepaediatricssocioeconomicstechnologytype 1 diabetes (T1D)

Identifiers

PMID37670884
PMCPMC10476216

What OpenQuestion 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 OpenQuestion graph.