Evaluation of the Patient-Practitioner Consultation on Surgical Treatment Options for Patients With Craniosynostosis
Bibliographic record
Abstract
INTRODUCTION: Endoscope-assisted craniectomy and spring-assisted cranioplasty with post-surgical helmet molding are minimally invasive alternatives to the traditional craniosynostosis treatment of open cranial vault remodeling. Families are often faced with deciding between techniques. This study aimed to understand providers' practice patterns in consulting families about surgical options. METHODS: An online survey was developed and distributed to 31 providers. The response rate was 84% (26/31). RESULTS: Twenty-six (100%) respondents offer a minimally invasive surgical option for sagittal craniosynostosis, 21 (81%) for coronal, 20 (77%) for metopic, 18 (69%) for lambdoid, and 12 (46%) for multi-suture. Social issues considered in determining whether to offer a minimally invasive option include anticipated likelihood of compliance (23 = 88%), distance traveled for care (16 = 62%) and financial considerations (6 = 23%). Common tools to explain options include verbal discussion (25 = 96%), 3D reconstructed CT scans (17 = 65%), handouts (13 = 50%), 3D models (12 = 46%), hand drawings (11 = 42%) and slides (10 = 38%). Some respondents strongly (7 = 27%) or somewhat (3 = 12%) encourage a minimally invasive option over open repair. Others indicate they remain neutral (7 = 27%) or tailor their approach to meet perceived needs (8 = 31%). One (4%) somewhat encourages open repair. Despite this variation, all completely (17 = 65%), strongly (5 = 19%) or somewhat agree (4 = 15%) they use shared decision making in presenting surgical options. CONCLUSION: This survey highlights the range of practice patterns in presenting surgical options to families and reveals possible discrepancies in the extent providers believe they use shared decision making and the extent it is actually used.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".