MétaCan
Menu
Back to cohort
Record W2062142085 · doi:10.1177/0145721710391479

Understanding Self-Monitoring of Blood Glucose Among Individuals With Type 1 and Type 2 Diabetes

2011· article· en· W2062142085 on OpenAlexaff
William A. Fisher, Taylor Kohut, Holly C. Schachner, Patricia Stenger

Bibliographic record

VenueThe Diabetes Educator · 2011
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsWestern University
Fundersnot available
KeywordsType 2 diabetesContinuous glucose monitoringBlood Glucose Self-MonitoringMedicineDiabetes mellitusType 1 diabetesPsychologyInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate self-monitoring of blood glucose (SMBG) information deficits, motivational obstacles, and behavioral skills limitations in individuals with type 1 and type 2 diabetes, and to assess the relationship of these deficits with SMBG frequency. METHODS: Individuals with type 1 (n = 208; 103 male, 105 female) and type 2 (n = 218; 107 male, 111 female) diabetes participated in an online survey assessing SMBG information, motivation, behavioral skills, and behavior. RESULTS: A substantial proportion of participants scored as SMBG uninformed, unmotivated, and unskilled on specific assessment items. SMBG information, motivation, and behavioral skills deficits were significantly correlated with SMBG frequency, such that individuals with type 1 or type 2 diabetes, who were less informed, less motivated, and less behaviorally skilled, reported lower frequency of SMBG. CONCLUSION: Common and consequential SMBG information, motivation, and behavioral skills deficits were present, and patients with these gaps were less likely to test frequently. Clinical education focusing on relevant SMBG information, motivation to act, and behavioral skills for acting effectively may be a priority.

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 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 score0.054
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.056
GPT teacher head0.253
Teacher spread0.197 · 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 teacher head, 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

Citations62
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueThe Diabetes EducatorSame topicDiabetes Management and EducationFrench-language works237,207