Validity of predischarge measures for predicting time to harm in older adults
Bibliographic record
Abstract
BACKGROUND: Concern is often expressed about the ability of persons with cognitive impairment to manage safely after discharge home from hospital. Measures validated for predicting safety are required. PURPOSE: The purpose of this study was to determine whether two predischarge functional measures were valid for predicting time to incident of harm after discharge. METHOD: Participants (n = 47) were recruited from an inpatient rehabilitation unit. The Assessment of Motor and Process Skills (AMPS) and Cognitive Performance Test (CPT) were administered in hospital. Incident-of-harm outcome was measured by caregiver telephone questionnaire monthly for 6 months. FINDINGS: Compared with all independent variables, AMPS Process scale was the best single predictor of time to incident of harm (p = .01). CPT had a high specificity (91%) for identifying persons who did not have harm. IMPLICATIONS: Both AMPS and CPT demonstrated predictive validity for harm outcome over less predictive variables, such as comorbidities and activities-of-daily-living burden of care.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".