Accuracy of the AM-PAC BMSF in Predicting Discharge Physical Therapy Referrals in Pediatric Acute Care
Bibliographic record
Abstract
PURPOSE: This study evaluated the accuracy of the Activity Measure for Post-Acute Care "6-Clicks" Inpatient Basic Mobility Short Form (AM-PAC BMSF) in predicting discharge outcomes in a pediatric acute care setting and identifying a cutoff score for outpatient physical therapy referrals. METHODS: A retrospective analysis included initial AM-PAC BMSF scores from 2014 children aged 4 to 17 years hospitalized for more than 72 hours. Receiver operating characteristic curve analysis assessed the tool's sensitivity and specificity in predicting postdischarge physical therapy referrals. RESULTS: Children referred to outpatient physical therapy had significantly lower initial AM-PAC BMSF scores. A raw score of 17 to 18 (49% impairment) was the optimal cutoff score for predicting outpatient physical therapy referrals. CONCLUSIONS: The AM-PAC BMSF, completed at the initial evaluation, can moderately predict the need for outpatient physical therapy following pediatric acute care discharge. A cutoff score of 18 may support more proactive and targeted discharge planning.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".