Uso de guías de simulación clínica en el cuidado de la salud revisión bibliográfica a nivel global 2012-2022.
Bibliographic record
Abstract
Durante la segunda mitad del siglo XX, la simulación clínica se ha convertido en una herramienta importante en la educación de los profesionales especialmente en enfermería, presentándose como un recurso tecnológico solido para la formación de la práctica clínica, por esto, este trabajo tiene como Determinar el estado de conocimiento sobre el uso de guías de simulación clínica en el cuidado de la salud para conocer los avances y resultados de los diferentes estudios durante los años 2012 al 2022. Investigación de enfoque cualitativo, alcance de tipo interpretativo con dos fases, la primera heurística basada en la búsqueda de documentos científicos y, la segunda, fase hermenéutica de lectura y análisis crítico a través de la herramienta CASPe. Se puede evidenciar que la mayoría de los artículos son de procedencia Brasil con un 24%, posteriormente de Chile con un 18%, Colombia, España y Estados Unidos con un 10%, Ciudad de México con un 6%, Argentina con un 4%, y Arabia Saudita, Asia, Australia, Canadá, Nueva Zelanda, Panamá, Perú, Reino Unido, y Venezuela, ocupan el último lugar, con un total del 2%. Se evidencia el reconocimiento y la importancia que han recibido las guías de simulación clínica, las cuales apoyan y fortalecen el proceso educativo de los profesionales, principalmente en enfermería.. abstract: During the second half of the 20th century, clinical simulation has become an important tool in the education of professionals, especially in nursing, presenting itself as a solid technological resource for the training of clinical practice, for this reason, this work has as To determine the state of knowledge on the use of clinical simulation guides in health care to know the advances and results of the different studies during the years 2012 to 2022. Research with a qualitative approach, scope of interpretative type with two phases, the first heuristic based on the search for scientific documents and, the second, hermeneutic phase of reading and critical analysis through the CASPe tool. It can be seen that most of the articles come from Brazil with 24%, later from Chile with 18%, Colombia, Spain and the United States with 10%, Mexico City with 6%, Argentina with a 4%, and Saudi Arabia, Asia, Australia, Canada, New Zealand, Panama, Peru, the United Kingdom, and Venezuela, rank last, with a total of 2%. The recognition and importance that clinical simulation guides have received, which support and strengthen the educational process of professionals, mainly in nursing, are evident
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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 | 0.013 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.021 | 0.034 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".