La relación médico-paciente: una teorización arraigada de la experiencia de los efectos secundarios de los antirretrovirales
Bibliographic record
Abstract
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).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".