Measurement of Health Preferences among Patients with Tuberculous Infection and Disease
Bibliographic record
Abstract
Health preferences have not previously been investigated among patients with tuberculous infection or disease. The authors assessed the reliability of visual analogue scale (VAS) and standard gamble (SG) measurements in this patient population. Participants were interviewed 3 times in English or French, at weekly intervals. They evaluated their own health status, as well as 3 marker health states, derived by consensus among tuberculosis (TB) practitioners. For the VAS, health states were assigned a duration of 6 months, whereas for the SG, the duration was 10 years. One hundred eighty-six potentially eligible individuals were identified from the TB clinic database of the Montreal Chest Institute. One hundred twelve (60%) were successfully located; of these, 106 were confirmed eligible. Sixty-seven (63%) agreed to participate, and 50 completed all study measurements (25 treated for latent TB, 17 treated for active TB, and 8 with previous active TB); 38 out of 50 were foreign-born. Intraclass correlation coefficients for the marker states were 0.57 to 0.81 for the VAS, and 0.75 to 0.87 for the SG. For respondents' own health, the coefficients were 0.60 and 0.87, respectively. Median VAS scores for respondents' own health were 85.0 to 88.0 for the 3 interviews, whereas the median utility score was 97.5 for all 3. Administration of the visual analogue scale and standard gamble instruments appeared reliable in a selected group of tuberculosis patients. Major barriers to recruitment were language and mobility in this largely foreign-born population.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".