Development of a Shared Decision-Making Tool for Adolescents With Scoliosis to Decide Between Observation Versus Fusion Surgery
Bibliographic record
Abstract
BACKGROUND: Adolescent patients with moderate to severe idiopathic scoliosis who have completed their skeletal growth face a significant choice in their treatment path: watchful waiting or spinal fusion. Shared decision making (SDM) assists patients and clinicians to find treatments that make intellectual, practical and emotional sense. Our objective was to develop a tool that supports SDM for patients with scoliosis and their families. METHODS: We used a user-centered design approach that included collaboration between patients, surgeons and SDM experts, observation of clinician encounters, and literature review. We focused on adolescent idiopathic scoliosis patients 13 or more years of age with less than 1 year of growth remaining (Risser stage 3 or greater) and curves between 40 and 65 degrees. RESULTS: We included 22 patients, and collected 22 video recordings. From these videos, we identified salient patient priorities for decision making including treatment benefits, surgical complications, pain, scheduling and recovery, and cost. For each theme, we conducted a focused review to obtain the best estimate of effect. Then, an expert SDM designer developed an electronic prototype called Scoliosis Choice. CONCLUSIONS: The initial prototype of the scoliosis SDM was finalized and is currently being field tested in clinic. Scoliosis Choice may help patients and surgeons better understand the potential risks and benefits of spinal fusion vs. observation for scoliosis treatment and improve validated measures of quality in patient-parent-surgeon communication.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".