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Record W2799557287 · doi:10.3917/rsi.132.0020

La relation patient-médecin : une théorisation ancrée de l’expérience des effets secondaires des antirétroviraux

2018· article· fr· W2799557287 on OpenAlexaffabout
Caroline Dufour, Marilou Gagnon

Bibliographic record

VenueRecherche en soins infirmiers · 2018
Typearticle
Languagefr
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of OttawaCégep de l'Outaouais
Fundersnot available
KeywordsHumanitiesHuman immunodeficiency virus (HIV)Political scienceMedicineArtFamily medicine

Abstract

fetched live from OpenAlex

Antivirals induce many significant side effects and reduce the quality of life for People Living with HIV (PLWHIV). The management of side effects is crucial to maintain the patient's quality of life and adherence to treatments. The patient-physician relation is essential when managing side effects as it influences the experience for the PLWHIV. This grounded theory analyzes the patient-physician relationship in context with side effects. In the greater Ottawa/Gatineau area, 50 PLWHIV have participated in a semi-structured interview to share their experience with side effects. Four categories were highlighted with this analysis : healthcare model, medical power (central category), strategies and impacts. Results show that physicians are in a monopoly position when taking charge of PLWHIV, who then develop mechanisms of selfpreservation against medical authority. Patients must also develop their own strategies to overcome side effects. Nevertheless, a conflictual relation between patient and physicians may cause multiple devastating effects for the PLWHIV (isolation, withdrawal and distress).

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)0.005
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.121
GPT teacher head0.432
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations2
Published2018
Admission routes2
Has abstractyes

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