The Barretos short instrument for assessment of quality of life (BSIqol): development and preliminary validation in a cohort of cancer patients undergoing antineoplastic treatment
Bibliographic record
Abstract
BACKGROUND: To be clinically useful, an instrument assessing health-related quality of life (HRQOL) should be easy to understand and quick to answer. Few instruments have been designed to be short, simple, and easily understandable by patients from all educational levels. The aim of the present study was to evaluate the psychometric properties of a brief general instrument developed to assess HRQOL. METHODS: Results from a preliminary study regarding the initial development of the Barretos Short Instrument for Assessment of Quality of Life (BSIqol) with 80 cancer patients are presented. Out of all the patients, 59 completed the BSIqol on two occasions in order to evaluate the reproducibility test-retest. Validity analyses were done comparing scores from BSIqol with EORTC QLQ-C30 and Edmonton Symptom Assessment System (ESAS). In addition, BSIqol scores were analyzed in function of ECOG-PS, work activity, and financial income. RESULTS: BSIqol demonstrated good internal consistency (Cronbach's α = 0.79) and adequate test-retest reliability, with intraclass coefficient correlation (ICC) varying from 0.736 to 0.946. There were adequate correlations between scores of BSIqol, EORTC QLQ-C30 and ESAS. The BSIqol was capable of discriminating between clinical subgroups, with different ECOG-PS and work activity. Patients completed the BSIqol in a median time <2 min. Only one patient reported some difficulty to answer the instrument. CONCLUSIONS: BSIqol seems to be a straightforward and useful instrument for rapidly assessing HRQOL from cancer patients. Further studies are necessary to evaluate BSIqol in different populations and also to assess its responsiveness and define its minimal clinically important differences.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".