Distrés en el cuidador primario del paciente adulto con enfermedad oncológica avanzada
Bibliographic record
Abstract
Background. Distress is an unpleasant emotional experience of psychological, social or spiritual nature, which can interfere with the ability to cope. Objective. To describe the distress phenomenology in primary caregivers of adults with advanced cancer. Material and Methods. In this descriptive cross-sectional study we evaluated adults with advanced oncologic disease and their primary caregivers. A structured interview and clinimetric instruments (Palliative Performance Scale, Edmonton Symptom Assessment Scale, and The Distress Thermometer) were applied to estimate the frequency and severity of distress in both groups. We also examined possible variables associated with distress. Results. Information on 87 patient-caregiver dyads (n=174) was analyzed. Age was significantly lower in caregivers than in patients. Approximately half of the caregivers had a paid job; 38 % was a homemaker. The prevalence of distress was significantly higher among caregivers than their patients (86.2 % vs. 71.3 %, respectively; p=0.01). According to the caregivers, the main problems linked to distress were emotional (62 %) and practical (40 %); which contrasts with the patients, who claimed the main problems were physical (57 %), followed by emotional (36 %). Conclusions. The prevalence of distress among caregivers of patients with advanced disease is very high. Moreover, the frequency of perceived distress in caregivers is higher than their respective patients. The most heavily affected domain, perceived by caregivers is emotional, while in the patients it is mainly physical.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".