154 Specialised Memory and Attention Rehabilitation Therapy (SMART) Programme
Bibliographic record
Abstract
Abstract Background The population of Ireland is ageing and the number of people with dementia in the coming years will be significant and could be as high as 132,000 people by 2041 (Pierce et al 2014). This estimated prediction highlighted the importance and value of developing and implementing interventions that will meet the needs of individuals with dementia and their carers in the community. We identified the need for a cognitive rehabilitation programme in an acute hospital and developed the “Specialised Memory and Attention Rehabilitation Therapy (SMART) Programme”. The aim of the programme is to improve quality of life, cognitive ability and performance of meaningful occupations for individuals with dementia in the community. Methods The SMART programme uses an evidence based approach of education, process training, strategy training and function for delivery to individuals with dementia and their carers. It is a seven week programme with a three month follow up appointment. Weeks one, seven and three month follow up are 1:1 assessments where outcome measures are completed. There is a group intervention programme for five weeks which includes a patient booklet with education sheets, strategy, work and homework sheets as well as functional tasks. Results There was statistically significant results pre and post intervention in the Rivermead Behavioural Memory test, Canadian Occupational Performance Measure, Functional Independence Measure and the DEMQoL – Dementia quality of life questionnaire. Overall, the results showed statistically significant improvements in memory function, clinically significant gains in terms of perceived functional performance & satisfaction and objective and significant improvements in functional performance. Conclusion The findings have demonstrated potential to significantly improve participants’ cognitive function and have shown functional significant gains as a result both objectively and subjectively. The findings have also demonstrated the feasibility of successfully implementing a cognitive rehabilitation programme on an outpatient basis in an acute hospital setting.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".