A extrema vulnerabilidade na transição dos cuidados hospitalares para o domicílio: uma análise sobre determinantes sociais de saúde
Bibliographic record
Abstract
Maintaining patients quality of life and well-being, involves a plan of care and of social support aimed at physical, cognitive and / or functional recovery. However, the transition from hospital to other the level of care should consider the multidimensionality of the individual, a paradigm that promotes health and considers different risk factors. This study had the purpose to identify patients vulnerability after hospitalization in CHLO, between 2009-2012, highlighting those who were in a situation of extreme vulnerability. Methods: Firstly we analyzed the 4965 social episodes that were evaluated by the Social Work Department of the three hospital units that compose CHLO. In a second stage, we studied only the 1509 patients in extreme vulnerability. Results: The results showed four clusters of vulnerability with low income and with low literacy skills. Two groups were distinguished: One comprised a young, single and unemployed population, and the other an aged, married/widow and retired/or pensioner population. Extreme vulnerability affects olderpeople, particularly those with poor yields, excessive expenses or unable to manage resources. Most of these patients are unaware of their rights and lacks support from their families or proximity formal institutions. Conclusion: Data showed that extreme vulnerability is related to a population at risk whose individual, social and economic conditions are fragile and can jeopardize their wellfare.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".