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Satisfaction of diabetes patients under follow-up in a diabetes education program

2007· article· en· W2159595575 on OpenAlexaff
María Lúcia Zanetti, Liudmila Miyar Otero, Marília Voltolini Biaggi, Manoel Antônio dos Santos, Denise Siqueira Péres, Fernanda Pontin de Mattos Guimarães

Bibliographic record

VenueRevista Latino-Americana de Enfermagem · 2007
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsMedicineDiabetes mellitusPatient satisfactionFamily medicineDiabetes controlHealth carePhysical therapyNursingType 2 diabetes

Abstract

fetched live from OpenAlex

This study aimed to describe the satisfaction of diabetes patients, using the information received and the care offered after the implementation of the health educational program called Staged Diabetes Management (SDM), in April 2005, at a University Research and Extension Center in Ribeirão Preto - SP. Patient satisfaction was assessed through a satisfaction questionnaire, applied to 54 diabetes patients who participated in the program during 12 months. The patients reported that the information received during the program attended their needs; of the 54 patients, 59.3% mentioned information related to nutrition; 33.3% mentioned medicines and 31.5% glucose control. Related to the assessment of care, 81.5% of the patients considered it excellent. We concluded that the patient satisfaction evaluation was a valuable feedback to evaluate the program implemented by the multiprofessional team.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.419
Teacher spread0.369 · 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.

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

Citations39
Published2007
Admission routes1
Has abstractyes

Explore more

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