2159 Feasibility study: the use of the Edmonton frail scale in a psychiatric inpatient facility
Bibliographic record
Abstract
Abstract Introduction Frailty is an important consideration in the health and wellbeing of older adults, particularly as it is associated with a risk of falls, and mental health difficulties such as depression. There has been no validation of frailty assessment tools among older adults with Psychiatric disorders. This was a feasibility study exploring the use of the Edmonton frail scale (EFS) among patients with highly complex mental health needs within a Psychiatric Inpatient Setting with a view to develop a service integration process leading to further research. Methods 45 participants were recruited from 8 older adult wards across Neuropsychiatry and Medium Secure divisions. EFS assessments were completed every six months by trained members of Multidisciplinary Teams over a 12-month period. Results: About 118 assessments were administered to approximately 45 patients, regardless of a patient’s length of stay at the hospital during the 12-month period. There was a 55% assessment completion rate. This was largely the result of difficulties in administering the cognitive domain of the EFS (Clock Drwing test) to patients with highly complex mental health needs, as the completion rate was 32%. It was also quite challenging for patients to understand and comply with the assessment instructions in the Functional Performance Domain (Timed Get Up and Go Test). As a result, many assessments in this domain were conducted through covert observation of patients’ movement during the course of the day. 29 of the 45 patients were found to have at least moderate level of frailty. Conclusion Older adults with psychiatric disorders may benefit from having an adapted assessment of the cognitive domain to promote complete administration of assessments. Prevalence of frailty is high in this setting. Continuous support towards staff engagement and education would be beneficial in promoting EFS use in determining frailty and integrating it into care 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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".