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Record W2008436310 · doi:10.1002/pdi.567

Treatment effects and satisfaction in diabetic patients changing from multiple daily insulin injections to CSII

2004· article· en· W2008436310 on OpenAlexaff
A Garmo, B Pettersson‐Frank, Anna Ehrenberg

Bibliographic record

VenuePractical Diabetes International · 2004
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineInsulinDiabetes mellitusMetabolic control analysisInsulin pumpPatient satisfactionQuality of life (healthcare)Type 1 diabetesPhysical therapyPediatricsInternal medicineSurgeryEndocrinologyNursing

Abstract

fetched live from OpenAlex

Abstract The aims of this study were to describe how patients with diabetes mellitus type 1 experience a new treatment and daily living conditions when changing from multiple daily insulin injections to continuous subcutaneous insulin infusion (CSII) and to study the effects on metabolic control when changing therapy. In all, 23 patients responded to Bradley's Diabetes Treatment Satisfaction Questionnaire (DTSQ) before and six months after change of treatment. HbA 1c was collected from records and semi‐structured interviews were conducted with four of the patients after the change of therapy. The findings show significant improvement concerning metabolic control, treatment satisfaction and perceived frequency of unacceptable hypo‐ and hyperglycaemic events six months after changing to CSII. The interview data indicated a pronounced concern for high values of HbA 1c , but at the same time patients expressed the view that health care personnel focused too narrowly on this measure. The patients reported a greater sense of freedom and that planning daily living was made easier with CSII. However, they were anxious regarding incidents of pump breakdown. All patients conveyed their satisfaction with CSII in that it had positively changed their daily life. The patients also reported disadvantages with CSII, but they felt that the advantages far outweighed the disadvantages. Copyright © 2004 John Wiley & Sons, Ltd.

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)0.001
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 score0.084
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.016
GPT teacher head0.313
Teacher spread0.297 · 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

Citations10
Published2004
Admission routes1
Has abstractyes

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