ESTRATEGIA EDUCATIVA Y CAPACIDAD DE AUTOCUIDADO EN PERSONAS CON DIABETES MELLITUS TIPO 2
Bibliographic record
Abstract
Introduccion: en el mundo hay cerca de 347 millones de personas con diabetes, la OMS preve se convierta para el 2030 en la septima causa mundial de muerte; senala que cada 10 segundos una persona muere por causas relacionadas a la diabetes, en Mexico es la primera causa de muerte entre las mujeres y la segunda entre los hombres. Objetivo: Determinar la estrategia educativa y la capacidad de autocuidado de la persona con Diabetes Mellitus (DM). Materiales: estudio descriptivo, longitudinal, participaron pacientes con DM tipo 2 de la Comunidad Canada de Bustos, se aplico la Escala de capacidad de autocuidado y un cuestionario sobre conocimientos. Resultados: participaron 36 pacientes, 28(77.7%) de la comunidad Canada de Bustos y 8(22.2%) del Capulin, rango de edad 26-63 anos, con una buena (58.3%) capacidad de autocuidado. Discusion: La DM es un problema de salud publica a nivel mundial, la implementacion de tecnicas educativas son una herramienta a favor de la salud general y oral para mejorar la calidad de vida. Conclusion: Es necesaria la implementacion de campanas educativas debido a que los pacientes no tienen conocimiento respecto a las complicaciones que puede generar la enfermedad y que pueden poner en riesgo su vida.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".