Validation of the Pictorial Fit-Frail Scale in a memory clinic setting
Bibliographic record
Abstract
OBJECTIVE: To assess the feasibility, reliability, and validity of the Pictorial Fit-Frail Scale (PFFS) among patients, caregivers, nurses, and geriatricians in an outpatient memory clinic. DESIGN: Observational study. SETTING: A Canadian referral-based outpatient memory clinic. PARTICIPANTS: Fifty-one consecutive patients and/or their caregivers, as well as attending nurses and geriatricians. MEASUREMENTS: Participants (patients, caregivers, nurses, and geriatricians) were asked to complete the PFFS based on the patient's current level of functioning. Time-to-complete and level of assistance required was recorded. Participants also completed a demographic survey and patients' medical history (including the Mini-Mental State Examination [MMSE], and Comprehensive Geriatric Assessment [CGA]) was obtained via chart review. RESULTS: Patient participants had a mean age of 77.3±10.1 years, and average MMSE of 22.0±7.0, and 53% were female. Participants were able to complete the PFFS with minimal assistance, and their average times to completion were 4:38±2:09, 3:11±1:16, 1:05±0:19, and 0:57±0:30 (mins:sec) for patients, caregivers, nurses, and geriatricians, respectively. Mean PFFS scores as rated by patients, caregivers, nurses, and geriatricians were 9.0±5.7, 13.1±6.6, 11.2±4.5, 11.9±5.9, respectively. Patients with low MMSE scores (0-24) took significantly longer to complete the scale and had higher PFFS scores. Inter-rater reliability between nurses and geriatricians was 0.74, but it was lower when assessments were done for patients with low MMSE scores (0.47, p<0.05). The correlation between PFFS and a Frailty Index based on the CGA was moderately high and statistically significant for caregivers, nurses, and geriatricians (r=0.66, r=0.59, r=0.64, respectively), but not patients. CONCLUSIONS: The PFFS is feasible, even among people with some slight cognitive impairment, though it may be less useful when patients with severe dementia administer it to themselves. Further, the PFFS may help inform clinicians about areas of concern as identified by patients, enabling them to contribute more to diagnostic and treatment decisions or helping with health tracking and care planning.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".