Percepção do paciente com doença de Parkinson: contribuições para a formação integral em saúde
Bibliographic record
Abstract
Parkinson's disease (PD) is a chronic neurodegenerative disease characterized by the manifestation of motor symptoms, the main ones being: bradykinesia, muscle rigidity and resting tremor; as well as non-motor symptoms, such as depression, pain, sleep disturbance and cognitive impairment. Symptoms that have a psychosocial impact on the lives of patients with PD. Most health actions are based on the biomedical model, which overvalues the disease and its symptoms, and in the case of PD, it focuses especially on motor symptoms and their treatment. It is important to give voice to the chronically ill based on their weaknesses and needs and thus foster possibilities of intervention in the healthdisease-care processes. This work aims to promote comprehensive health education based on the perception of PD patients about their disease process and treatment. This is qualitative, descriptive and analytical research based on the Phenomenological Method. Research data were collected through individual interviews using the semi-structured interview script McGill MINI – Narrative of illness. The participants were 7 patients aged between 48 and 73 years, treated at the Movement Disorder Outpatient Clinic of the Onofre Lopes University Hospital, Natal, Rio Grande do Norte. From the reports obtained, three thematic nuclei emerged that concern the patient before his diagnosis, living with the signs and symptoms of the disease and its treatment and the psychosocial impact of the disease and health care. Patients report psychological suffering with an impact on their daily lives and on their social and work relationships, which, in general, can harm their relationship with the illness itself. It brings a reflection on the importance of teamwork and a broad view of the subject, as well as the strengthening of health education from the perspective of comprehensive health care.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".