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Record W3213470226

La relación médico-paciente: una teorización arraigada de la experiencia de los efectos secundarios de los antirretrovirales

2018· article· es· W3213470226 on OpenAlexaboutno aff
Caroline Dufour, Marilou Gagnon

Bibliographic record

VenueRecherche en soins infirmiers · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicPublic Health and Social Inequalities
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Los antirretrovirales causan una serie de efectos secundarios que no son insignificantes ya que afectan a la calidad de vida de las personas que viven con el VIH (PVVIH). El control eficaz de los efectos secundarios es necesario para mantener la calidad de vida y la observancia del tratamiento. La relacion medico-paciente desempena un papel importante en el manejo de los efectos secundarios e influye en la experiencia de estos entre las PVVIH. Esta teorizacion fundamentada explora la relacion medico-paciente en el contexto de los efectos secundarios. Cincuenta asistentes personales de la region de Ottawa/Gatineau participaron en una entrevista semiestructurada para compartir sus experiencias con los efectos secundarios. Del analisis surgieron cuatro categorias: modelo de atencion, poder medico (categoria central), estrategias e impactos. Los resultados muestran que los medicos tienen el monopolio de la atencion de las PVVIH y que estas ponen en marcha varios modos de resistencia para contrarrestar la autoridad medica. Tambien necesitan desarrollar sus propias estrategias para mitigar sus efectos secundarios. Aun asi, una relacion conflictiva entre medico y paciente tiene varios impactos que pueden ser devastadores para las PVVIH (aislamiento, abandono y sufrimiento).

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)0.025
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.005
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0040.003
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 head0.122
GPT teacher head0.491
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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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