Measurement of SF-6D Utility among Patients with Active Tuberculosis
Bibliographic record
Abstract
Inspite of so much development in medical technology, Tuberculosis (TB) is still the problem for humans. Fewstudies, in Pakistan highlighted the factors that affect patients health related quality of life (HRQOL) with activeTB. The aim of this study is to measure short form six dimension (Sf-6D) utility scores of patients with activeTB of Sargodha district. 120 active TB patients were interviewed and short form-36 questionnaire was followed.District TB hospital of Sargodha district was visited. Results show that Utility scores of female patients werebetter than male, while patients belong to urban areas have better utility scores as compared to rural patients ofTB. Indoor patient’s utility scores were better than outdoor patients. Disease severity, use of drugs, depression,pain and death threat were the factors that negatively affect the patients health related quality of life, whileopportunity of leisure and income level increase patients HRQOL.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".