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Record W4387219824 · doi:10.1007/s13300-023-01479-1

Addressing Insulin Injection Technique: A Follow-up Study of Canadian Patients with Diabetes

2023· article· en· W4387219824 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDiabetes Therapy · 2023
Typearticle
Languageen
FieldMedicine
TopicIntramuscular injections and effects
Canadian institutionsCommunications Research Centre CanadaCégep Saint-Jean-sur-Richelieu
Fundersnot available
KeywordsMedicineDiabetes mellitusInsulinInsulin penDiabetes managementIntensive care medicineType 2 diabetesInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: Proper insulin injection technique is important for optimal glycaemic control, yet patients with diabetes often inject insulin incorrectly. Previous studies identified common errors in insulin injection in Canada, and this article seeks to evaluate the current insulin injection technique practices among patients and explore the effectiveness of feedback and education in improving their technique. METHODS: The study recruited 147 patients and 16 physicians across Canada to gather insights into current insulin injection practices and education gaps. Eligible patients were people living with diabetes who inject insulin using an insulin pen and pen needles. Eligible physicians, who were unsupported by diabetes educators, completed a practice assessment survey and selected 10 eligible patients to complete a baseline assessment survey. During the patient visit, if an error in the patient's technique was identified, a pop-up knowledge transfer (KT) prompt would appear, providing feedback and information on best practices at the point of care. Follow-up surveys were completed 1-3 months later. RESULTS: Physicians reported facing barriers to providing education and feedback, including lack of time and personnel, and lack of effective educational material. Patients demonstrated modest improvements in some injection technique domains at their follow-up visit, including injection force factors, time the needle was held in the skin, pen needle reuse, injection area size, and injection angle. The most common initial mistakes by patients were selecting an area smaller than recommended and not paying attention to the injection force. At the second visit, patients reduced an average of one error in their injection technique. CONCLUSION: Results showed that basic feedback by their physician during one visit could exert moderate improvements on patients' injection technique. Proper injection technique is critical for diabetes management, and incorporating targeted ongoing education and support can significantly enhance physician practices, ultimately reducing risks and improving outcomes.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.030
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.269
Teacher spread0.242 · 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