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Record W4397042101 · doi:10.56238/isevjhv3n2-032

Unique therapeutic project reinforcening the importance of the bond between doctor and patient for adherence to the treatment of chronic diseases: Experience report from medicine students

2024· article· en· W4397042101 on OpenAlexaff
Manuela Mussi, LEONARDO QUAGLIATO QUIBAO, Naiani Mazza da Silva Galvani, Tiago Tajara Pasquini, Yasmin Bernardes, Pedro Henrique Fernandes de Lima, Renata Prado Bereta Vilela

Bibliographic record

VenueInternational Seven Journal of Health Research · 2024
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Service (business)Quality (philosophy)Clinical PracticeDiseaseAlternative medicinePopulationNursingHealth carePsychologyFamily medicineBusinessInternal medicine

Abstract

fetched live from OpenAlex

The population is not limited to the expressions of the illnesses they have. Some obstacles, such as low adherence to treatment, refractory patients, users' dependence on the health service, among others, highlight the complexity of the subjects who use health services and the limits of clinical practice centered on the disease¹. It is well known that the doctor-patient relationship is a fundamental factor for adherence to treatment, always aiming for the best result to improve the quality of life for individuals and the whole community. This relationship is a topic that is currently finding renewed interest in scientific production, training and clinical practice, with the application of communication techniques that can provide better quality care and treatment².

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)0.000
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 score0.406
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.268
GPT teacher head0.552
Teacher spread0.284 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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