Standardizing Assessment of Elderly People in Acute Care: The interRAI Acute Care Instrument
Bibliographic record
Abstract
OBJECTIVES: To examine the frequency distributions and interrater reliability of individual items of the interRAI Acute Care instrument. DESIGN: Observational study of a representative sample of older inpatients; duplicate assessments conducted on a subsample by independent assessors to examine interrater reliability. SETTING: Acute medical, acute geriatric and orthopedic units in 13 hospitals in nine countries. PARTICIPANTS: Five hundred thirty-three patients aged 70 and older (mean age 82.4, range 70-102) with an anticipated stay of 48 hours or longer of whom 161 received duplicate assessments. MEASUREMENTS: Sixty-two clinical items across 11 domains. Premorbid (3-day observation period before onset of the acute illness) and admission (the first 24 hours of hospital stay) assessments were conducted. RESULTS: The frequency of deficits exceeded 30% for most items, ranging from 1% for physically abusive behavior to 86% for the need for support in activities of daily living after discharge. Common deficits were in cognitive skills for daily decision-making (38% premorbid, 54% at admission), personal hygiene (37%, 65%), and walking (39%, 71%). Interrater reliability was substantial in the premorbid period (average kappa=0.61) and admission period (average kappa=0.66). Of the 69 items tested, less than moderate agreement (kappa<0.4) was recorded for six (9%), moderate agreement (kappa=0.41-0.6) for 14 (20%), substantial agreement (kappa=0.61-0.8) for 40 (58%), and almost perfect agreement (kappa>0.8) for nine (13%). CONCLUSION: Initial assessment of the psychometric properties of the interRAI Acute Care instrument provided evidence that item selection and interrater reliability are appropriate for clinical application. Further studies are required to examine the validity of embedded scales, diagnostic algorithms, and clinical protocols.
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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 | 0.025 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".