Validation of the McGill Quality of Life Questionnaire in home hospice settings in Israel
Bibliographic record
Abstract
Given that the meaning and significance of 'quality of life' can differ among language and cultural groups, it is incumbent upon researchers to assess whether the tool they have chosen is appropriate to the population under study. This study aimed to test the reliability and validity of the McGill Quality of Life Questionnaire (MQOL) translated into Hebrew for use with palliative care patients in Israel. In this, as in previous studies, the 16 questions of the tool clustered into four domains (physical, psychological, existential well-being and support), although the distribution of items among them differed somewhat. The existential well-being and psychological domains had an independent effect on the overall quality of life of patients in Israel, as in other countries. It seems that this tool produces similar responses in metastatic cancer patients around the world, and hence can be used to compare palliative care services in different countries.
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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 | 0.001 | 0.005 |
| 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".