Eficacia de terapia asistida con animales en el tratamiento residencial de patología dual.
Bibliographic record
Abstract
Objetivos. La Terapia Asistida con Animales (TAA) es una intervención complementaria a la psicoterapia que presenta resultados positivos en los tratamientos de diferentes patologías. El objetivo de este estudio es valorar la implementación y efectividad de un programa de TAA, en pacientes diagnosticados de trastorno por consumo de sustancias y trastorno del espectro de la esquizofrenia en contexto de tratamiento residencial (comunidad terapéutica). Material y métodos. Se utilizó una cohorte dinámica prospectiva de 43 pacientes en tratamiento residencial. La TTA era de 10 sesiones con perro, duración de 60 minutos, con recogida de datos en la 3ª, 6ª y 10ª sesión. Se utilizó el cuestionario perfil de habilidades de la vida cotidiana (LSP), la escala para el síndrome positivo y negativo de la esquizofrenia (PANSS), la escala de la depresión de Calgary (CDSS) y la escala de autoestima de Rosemberg. Resultados y Conclusiones. Hubo una disminución en la impulsividad cognitiva (F = 4.39, p = 0.024), impulsividad a nivel motor (F = 3.82, p = 0.036), planificación (F = 5.58, p < 0.010) e impulsividad total (F = 4.67, p < 0.019) en comparación con valores iniciales. Además, en la escala de autocuidado (F = 76.09, p < 0.001) conducta social interpersonal (F = 68.2, p < 0.001) comunicación (F = 45.04, p < 0.001), comportamiento social no personal (F = 68.73, p < 0.001) y vida autónoma (F = 54.03, p < 0.001). La TAA parece servir como terapia coadyuvante en los procesos de rehabilitación de personas diagnosticadas de patología dual.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".