Adapting to Higher Demands
Bibliographic record
Abstract
PURPOSE: Referrals for torticollis/plagiocephaly have increased dramatically because of "Back to Sleep" campaigns and front-line staff becoming more proficient at recognition and referral to physiotherapy. These infants generally respond well to early intervention so longer waitlists raise concern about clinical outcomes due to delay. METHODS: Therapists developed a group-based, team service delivery model based on best practices in individual treatment programs. The program was implemented and evaluated for assessment and treatment of infants presenting with these conditions, including caregiver satisfaction. RESULTS: Compared with individual treatment, the group format enabled therapists to increase capacity to serve this population by 70%, with equivalent quality and achievement of discharge criteria, as well as a modest service cost saving per child. Caregiver questionnaires indicate satisfaction with the service. CONCLUSIONS: Group service delivery is a cost-effective and efficient way to manage increased referrals for torticollis/plagiocephaly while maintaining comparable treatment outcomes. VIDEO ABSTRACT: For more insights from the authors, see Supplemental Digital Content 1, available at http://links.lww.com/PPT/A64.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".