Estudio de la soledad en los pacientes psicogeriátricos del barrio de Collblanc de l’Hospitalet de Llobregat, barcelona
Bibliographic record
Abstract
espanolEs un estudio descriptivo longitudinal de 10 meses de duracion (junio de 2018 a abril de 2019). Se estudia la soledad so-cial percibida de los pacientes mayores de 65 anos atendidos en la unidad de salud mental de l’Hospitalet, ubicada en el barrio de Collblanc. Ademas se valoran la funcio-nalidad y estado cognitivo de los mismos, y se revisan los diagnosticos psiquiatricos, medicos y tratamientos farmacologicos en el momento de las entrevistas. Se han em-pleado las escalas de soledad social ESTE-II, el test de cribado cognitivo de Montreal (MOCA) y el indice de funcionalidad global de Lawton-Brody. Se completo el estudio con varias preguntas dirigidas a valorar la soledad emocional. Para el analisis de los resultados se usaron varias ANOVA. En los resultados destacan un nivel de soledad social medio, con un 60% de la poblacion sintiendose sola. El trastorno psiquiatrico mas prevalente fue el de trastorno depresi-vo mayor recurrente. EnglishIt is a longitudinal descriptive study lasted 10 months (from june 2018 to april 2019). It studies perceived social loneliness in patients over 65 years attended at the mental health unit at l’Hospitalet, placed at Collblanc quarter. Besides that it is also as-sessed their global functionality and their cognitive state, and psychiatric and medi-cal diagnosis and pharmacology treatments are reviewed during clinical interviews. Social loneliness ESTE-II, Montreal Cogni-tive Assessment (MOCA) and Lawton-Brody scales have been used. The study was com-pleted using different questions in order to assess emotional loneliness. For the analy-sis different ANOVA were used. On the re-sults highlights we found a medium social loneliness level and 60% of patients feeling lonely. Most prevalent psychiatric diagnosis was recurrent depressive mood disorder.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".