Consideraciones prácticas para el cuidado de un estoma digestivo de eliminación
Bibliographic record
Abstract
espanolEl adecuado apoyo al paciente y su preparacion para superar el impacto emocional y la adaptacion al efecto que el estoma digestivo tiene sobre la percepcion de la calidad de vida del paciente pone de manifiesto la necesitad y la trascendencia de unos adecuados cuidados de asesoramiento iniciales y una buena practica basada en evidencias. Este articulo pretende ofrecer a las enfermeras clinicas que atienden a este tipo de pacientes, una revision abreviada de un conjunto de consideraciones practicas relativas al cuidado de la ostomia y, sobre todo, del paciente ostomizado, (valoracion del estoma, higiene y tipo de dispositivos), asi como describir las necesidades basicas de educacion sanitaria propuestas en el diagrama de flujo de la Asociacion Profesional de Enfermeras de Ontario. EnglishPatient support and preparation to overcome the emotional impact and to adapt to the effect of having gastrointestinal stoma on the perception of their quality of life, demonstrates the necessity and importance of proper care at initial advice and good evidence-based practice. This article aims to provide clinical nurses caring for these patients, a brief review of a set of practical considerations about ostomy care (stoma assessment, hygiene and type of devices) and, above all the ostomy patient, and describe the basic needs of health education proposals in the flow chart of the Registered Nurses Association of Ontario.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".