Overcoming Overuse Part 2: Defining and Quantifying Health Care Overuse for Musculoskeletal Conditions
Bibliographic record
Abstract
Summary In this series on “Overcoming Overuse,” we explore the issue of health care overuse and how it may be identified in musculoskeletal physical therapy. In part 2, we frame health care overuse as a continuum from overuse to appropriate care, and consider how to measure overuse. We describe how overuse can be defined within a framework of care that is ineffective, inefficient, and misaligned, depending on the perspective of the person delivering or receiving care—the clinician, society, or patient. To ensure that musculoskeletal health care is of high value and sustainable, we encourage physical therapists to reflect on their practice. J Orthop Sports Phys Ther 2020;50(11):588–591. doi:10.2519/jospt.2020.0109
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".