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Record W2511018484 · doi:10.1016/j.jcjd.2016.07.001

Examining Factors That Impact Inpatient Management of Diabetes and the Role of Insulin Pen Devices

2016· review· en· W2511018484 on OpenAlexaffvenue
C Smallwood, Danièle Lamarche, Annie Chevrier

Bibliographic record

VenueCanadian Journal of Diabetes · 2016
Typereview
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsMcGill University Health CentreBecton Dickinson (Canada)
Fundersnot available
KeywordsMedicineInsulinInsulin penGlycemicDiabetes mellitusDiabetes managementAcute careSyringeHealth careIntensive care medicineInpatient careMedical emergencyType 2 diabetesInternal medicinePsychiatryEndocrinology

Abstract

fetched live from OpenAlex

Insulin administration in the acute care setting is an integral component of inpatient diabetes management. Although some institutions have moved to insulin pen devices, many acute care settings continue to employ the vial and syringe method of insulin administration. The aim of this study was to evaluate the impact of insulin pen implementation in the acute care setting on patients, healthcare workers and health resource utilization. A review of published literature, including guidelines, was conducted to identify how insulin pen devices in the acute care setting may impact inpatient diabetes management. Previously published studies have revealed that insulin pen devices have the potential to improve inpatient management through better glycemic control, increased adherence and improved self-management education. Furthermore, insulin pen devices may result in cost savings and improved safety for healthcare workers. There are benefits to the use of insulin pen devices in acute care and, as such, their implementation should be considered.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.049
GPT teacher head0.305
Teacher spread0.256 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations10
Published2016
Admission routes2
Has abstractyes

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