Social return on investment of home exercise and community referral for people with early dementia
Bibliographic record
Abstract
Abstract Background Exercise can improve physical function and slow the progression of dementia. However, uncertainty exists around the cost-effectiveness of exercise programmes for people with early dementia. Objective The aim is to determine whether a home-based supervised exercise programme (PrAISED – promoting activity, independence, and stability in early dementia) can generate a positive social return on investment (SROI). Methods SROI was conducted as part of a randomised controlled feasibility trial comparing PrAISED with usual care. Wellbeing valuation was used to compare the costs of the programme with the monetised benefits to participants, carers, and healthcare service providers. Results The PrAISED programme generated SROI ratios ranging from £3.46 to £5.94 for every £1 invested. Social value was created from improved physical activity, increased confidence, more social connection and PrAISED participants using healthcare services less often than usual care. Conclusion Home-based supervised exercise programmes can generate a positive SROI for people with early dementia. Trial registration ClinicalTrials.gov: NCT02874300 (first posted 22nd August 2016), ISRCTN: 10550694 (date assigned 31st August 2016)
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".