“Truly holistic?” Differences in documenting physical and psychosocial needs and hope in Portuguese palliative patients
Bibliographic record
Abstract
OBJECTIVE: Palliative care (PC) aims to improve patients' and families' quality of life through an approach that relieves physical, psychosocial, and spiritual suffering, although the latter continues to be under-assessed and under-treated. This study aimed to describe the prevalence of physical, psychosocial, and hope assessments documented by a PC team in the first PC consultation. METHOD: The retrospective descriptive analysis of all first PC consultations registered in our anonymized database (December 2018-January 2020), searching for written documentation regarding (1) Edmonton Symptom Assessment Scale (ESAS) physical subscale (pain, tiredness, nausea, drowsiness, appetite, shortness of breath, constipation, insomnia, and well-being), (2) the single question "Are you depressed?" (SQD), (3) the question "Do you feel anxious?" (SQA), (4) feeling a burden, (5) hope-related concerns, (6) the dignity question (DQ), and (7) will to live (WtL). RESULTS: Of the 174 total of patients anonymously registered in our database, 141 PC home patients were considered for analysis; 63% were male, average age was 70 years, the majority had malignancies (82%), with a mean performance status of 52%. Evidence of written documentation was (1) ESAS pain (96%), tiredness (89%), nausea (89%), drowsiness (79%), appetite (89%), shortness of breath (82%), constipation (74%), insomnia (72%), and well-being (52%); (2) the SQD (39%); (3) the SQA (11%); (4) burden (26%); (5) hope (11%); (6) the DQ (33%); and (7) WtL (33%).Significant differences were found between the frequencies of all documented items of the ESAS physical subscale (29%), and all documented psychosocial items (SQD + SQA + burden + DQ) (1%), hope (11%), and WtL (33%) (p = 0.0000; p = 0.0005; p = 0.0181, respectively). SIGNIFICANCE OF RESULTS: There were differences between documentation of psychosocial, hope, and physical assessments after the first PC consultation, with the latter being much more frequent. Further research using multicenter data is now required to help identify barriers in assessing and documenting non-physical domains of end-of-life experience.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".