The clinical outcomes of a hybrid-virtual infant hip clinic for the nonoperative treatment of developmental dysplasia of the hip
Bibliographic record
Abstract
Aims: Nonoperative treatment for developmental dysplasia of the hip (DDH) typically involves numerous in-person clinic visits, which can place a significant burden on healthcare services and patients' families. We therefore aimed to establish and validate a pilot hybrid-virtual clinic to evaluate the clinical outcomes with the delivery of a comprehensive nonoperative treatment protocol for infant DDH to streamline care and minimize in-person visits. Methods: This was a prospective, single-centre, quality improvement (QI) study of infants with DDH who underwent a comprehensive nonoperative treatment protocol in a unified multidisciplinary infant hip clinic from December 2022 to October 2023. Practice changes were made to our published nonoperative treatment protocol, where specific in-person follow-up visits were replaced with virtual appointments, and a dedicated institutional infant hip clinic email was created for caregiver inquiries. Results: Of all interim follow-up visits, 53% (77/144) occurred virtually; 94% (48/51) of infants successfully completed brace treatment. No failures of treatment occurred during the virtual follow-up period. In total, 8% (4/51) of infants experienced brace-related complications, including only one during the virtual phase; 10% (5/51) of infants made unplanned visits to the hip clinic, including two infants who attended for brace check and adjustments during the virtual phase. One unplanned ultrasound examination occurred during the virtual phase upon request of a caregiver, which did not alter the course of treatment. No infants required bracing for an extended time due to virtual visits. Overall, 92% (47/51) of caregivers reported awareness of the hip clinic email and 33% (17/51) used this resource. No urgent inquiries were received during the virtual phase. Conclusion: Our hybrid-virtual infant hip clinic has shown comparable outcomes to the historic norms of our in-person infant hip clinic. This model of care can improve the efficiency of standardized DDH treatment protocols while maintaining excellent clinical outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".