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Record W4409979848 · doi:10.1111/dom.16426

Social disadvantage and technology use among adults with type 1 diabetes in Quebec: A cross‐sectional study using data from the Canadian <scp>T1D</scp> ( <scp>BETTER</scp> ) Registry

2025· article· en· W4409979848 on OpenAlexafffundabout
Parisa Khodabandehloo, Patience Fakembe, Joyeuse Senga, Rayzel Shulman, Lorraine L. Lipscombe, Holly O. Witteman, Ananya Banerjee, Justin Presseau, Meranda Nakhla, Maman Joyce Dogba, Leif E. Lovblom, Rémi Rabasa‐Lhoret, Anne‐Sophie Brazeau, Adhiyat Najam, Wajeeha Cheema, Christine MacGibbon, Alanna Weisman

Bibliographic record

VenueDiabetes Obesity and Metabolism · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsDiabetes CanadaMontreal Clinical Research InstituteMcGill University Health CentreUniversity of OttawaMcGill UniversityUniversité LavalUniversity of TorontoPublic Health OntarioUniversité de MontréalHospital for Sick ChildrenUniversity Health NetworkOttawa HospitalCentre hospitalier universitaire de QuébecLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersBreakthrough T1D CanadaNovo NordiskSanofiDiabetes CanadaEli Lilly and CompanyCanadian Institutes of Health ResearchDiabetes Action Research and Education Foundation
KeywordsMedicineOdds ratioDisadvantageOddsInsulin pumpCross-sectional studyType 1 diabetesDemographyInsulinLogistic regressionConfidence intervalDiabetes mellitusGerontologyEnvironmental healthInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

AIMS: We evaluated associations between social disadvantage and insulin pump and continuous glucose monitor (CGM) use among adults with type 1 diabetes (T1D) in Quebec, Canada, where public funding is available for CGM but not for insulin pumps. MATERIALS AND METHODS: We conducted a cross-sectional analysis using self-reported survey data collected from April 2019 to October 2023. Primary exposures were social disadvantage indicators (Race, income, education, employment, insurance, immigration, rural/urban location). Primary outcomes were insulin pump and CGM use. Logistic regression was used to assess associations between social disadvantage indicators and the odds of insulin pump and CGM use. RESULTS: Among 2380 adults with T1D, 37.4% used insulin pumps and 82.5% used CGM. Insulin pump use was lower among those with income <$80 000 (odds ratio [OR] 0.64 [95% confidence interval 0.50-0.82]), no post-secondary education (OR 0.62 [0.46-0.85]), non-White Race (OR 0.47 [0.30-0.73]) and public insurance (OR 0.47 [0.35-0.62]). CGM use was lower only among those with income <$80 000 (OR 0.61 [0.45-0.83]) and public insurance (OR 0.61 [0.45-0.83]). Odds of insulin pump and CGM use were successively lower with an increasing number of social disadvantage indicators. Insulin pump and CGM use were both associated with lower HbA1c but not severe hypoglycaemia or diabetes hospitalisation. CONCLUSIONS: Social disadvantage is associated with lower uptake of insulin pumps and CGM among Quebec adults with T1D, though public funding partially mitigates disparities in CGM use. Given the benefits and increasing recommendations for automated insulin delivery, strategies to increase the uptake of diabetes technologies among socially disadvantaged individuals are required. PLAIN LANGUAGE SUMMARY: Social disadvantage is linked to lower use of insulin pumps and CGM in adults with T1D in Quebec. Public funding narrows CGM disparities, but broader equity strategies are needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.292
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes3
Has abstractyes

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