Efficacy of a nurse-led multidimensional preventive programme for older people at risk of functional decline. A randomized controlled trial
Bibliographic record
Abstract
OBJECTIVE: To verify the efficacy of a multidimensional preventive programme on functional decline of older people. DESIGN: Randomized controlled trial. SETTING: Community of Sherbrooke City, Quebec, Canada. SUBJECTS: A representative sample of individuals aged over 75 living at home and identified to be at risk of functional decline by postal questionnaire (n = 503). INTERVENTION: Subjects randomized to the study group (n = 250) were assessed at home by a nurse on 12 dimensions (including medication, depressive mood, risk of falls, hearing). A report of the assessment was sent to the general practitioner with recommendations for interventions. A monthly telephone contact was carried out by the nurse for surveillance and to verify if the recommendations had been applied. METHODS: The primary outcome--functional decline--was defined as either death, admission to an institution or increase of > or = 5 points on the disability score of the Functional Autonomy Measurement System (SMAF) scale during the reference year. Secondary outcomes were functional autonomy (on the SMAF), well-being (General Well-being Schedule), perceived social support (Social Provisions Scale) and use of health care services. RESULTS: Of the 494 subjects who completed the study, 48 (19.6%) of 245 in the study group and 49 (19.7%) of 249 in the control group had functional decline (relative risk 1.00; 95% confidence interval 0.82-1.23). There were no differences between the groups in all secondary outcomes. CONCLUSIONS: This study confirms the inefficacy of multidimensional programmes for preventing functional decline in the older population. More effort should be devoted to improving the efficacy of specific interventions for conditions causing functional decline.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".