Reorganizing pediatric rehabilitation services to improve accessibility: do we sacrifice quality?
Bibliographic record
Abstract
The impact of a pediatric rehabilitation service delivery reorganization to improve access to services on parents' and service providers' perception of service quality was evaluated. Child-, family-, service- and service provider-related characteristics possibly associated with these perceptions were explored. Perceptions were measured using the Measure of Processes of Care tools and open ended questions before (2007), during (2008) and following (2009) service reorganization. Child and family characteristics, services received and service provider data were documented. Mean MPOC scores were compared over time (ANOVAs and Generalized Estimating Equations) and t-tests, correlations and ANOVAs determined whether the characteristics influenced scores. Families' (n = 222) and service providers' (n = 129) perceptions of quality were high in 2007 (3.67 to 6.31/7) and remained high over the next 2 years (p ≥ 0.16). Two MPOC domain scores (Respectful care and Providing general information) were consistently scored the highest (mean ≥ 5.66/7) and the lowest (mean ≤ 4.75/7), respectively. Families with more education and those with children 12-21 years old tended to attribute lower MPOC scores. Participants were generally satisfied with the new service model and recommendations included improving information exchange. Results suggest that it is possible to reorganize pediatric rehabilitation services while maintaining quality.
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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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".