Inter-Rater Reliability of the Retrospectively Assigned Clinical Frailty Scale Score in a Geriatric Outreach Population
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Frailty, a common clinical syndrome in older adults associated with increased risk of poor health outcomes, has been retrospectively calculated in previous publications; however, the reliability of retrospectively assigned frailty scores has not been established. The aim of this study was to see if frailty scores, based on chart review data, agreed with clinician-determined scores based on a comprehensive geriatric assessment. METHODS: Per standard practice, all patients seen by one nurse clinician (JW) from the Southwestern Ontario Regional Geriatric Program, a tertiary care-based outreach service, between August 15, 2013 and December 31, 2015 received a comprehensive geriatric assessment which included the assignment of an interview-based Clinical Frailty Scale score (CFS-I). Subsequently, a medical student researcher (JD), blinded to the CFS-I, assigned each consenting patient a frailty score based on chart review data (CFS-C). The inter-rater reliability of the CFS-I and CFS-C was then determined. RESULTS: Of the 41 consented patients, 39 had both a CFS-I and CFSC score. The median CFS score was 6, indicating patients were moderately frail and required assistance for some basic activities of daily living. Cohen's kappa coefficient was 0.64, indicating substantial agreement. CONCLUSION: CFS scores can be reliably assigned retrospectively, thereby strengthening the utility of this measure.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it