COMPARISON OF MEASURES OF UTILITY IN PATIENTS UNDERGOING TOTAL SHOULDER ARTHROPLASTY
Bibliographic record
Abstract
Health utilities indicate the value of a given health state. They are essential components of decision analyses, and economic evaluations. In the area of total shoulder arthroplasty (TSA) we were unable to find literature estimating changes in utilities or the effect of method of obtaining utilities. The purpose of this pilot study was to describe the trajectory of utility scores before and after TSA using three approaches: the EQ-5D and the Health Utilities Index (HUI2 and HUI3) self-report format.Twenty-four patients undergoing TSA at two teaching hospitals (Boston and Toronto) were assessed twice preoperatively, as well as at four and twelve weeks follow-up by self report mailed survey. At each survey all three utility estimates were obtained. Demographic and functional status was also gathered. The EQ-5D is a five item questionnaire which scores into a profile to which utility weights obtained from the developers were applied. The HUI self-report is a fifteen item scale obtaining a score on eight doma...
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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 | 0.023 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".