NURSING CARE ACCORDING TO THE OREM’S THEORY: CARE FOR A PATIENT WITH BIPOLAR AFFECTIVE DISORDER
Bibliographic record
Abstract
Realizar a Sistematização da Assistência de Enfermagem (SAE) a uma idosa portadora de TAB, norteando-se pelos preceitos da Teoria do Autocuidado de Orem. A assistência domiciliar desenvolveu-se em dez visitas domiciliares a paciente com a intenção de formular um plano de cuidados envolvendo diretamente a família. Nesse contexto, avaliou-se a família e a paciente por meio do Modelo Calgary de Avaliação Familiar (MCAF), e planejaram-se cuidados por meio da SAE. Constatou-se que há compreensão da paciente sobre a importância da sua família para seu cuidado e que, apesar das discussões, o vínculo de afeto é forte, sendo concluído a necessidade de incluir mais conversas durante o dia-a-dia. Assim, compreende-se a importância de intervenções junto ao paciente e a família para minimizar os efeitos da doença no relacionamento destes. Além disso, é fato que idosos portadores de TAB frequentemente tenham diferentes necessidades de tratamento em comparação com indivíduos jovens.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".