Individualized Hospital to Home, Exercise-Nutrition Self-Managed Intervention for Pre-Frail and Frail Hospitalized Older Adults: The INDEPENDENCE Randomized Controlled Pilot Trial
Bibliographic record
Abstract
Purpose: Pre-frailty and frailty in older adults are associated with poor health outcomes and increase health-care costs, and further worsening during hospitalization. This study aimed to examine the effect of an individualized hospital to home, exercise-nutrition self-managed intervention for pre-frail and frail hospitalized older adults. Patients and Methods: Older adults admitted to an acute medical unit of a tertiary hospital in South Australia who were pre-frail or frail were recruited from September 2020 to June 2021, randomized to either control or intervention group and followed up at 3 and 6 months. The outcome variables were program adherence, frailty status by the Edmonton Frail Scale (EFS) score, lower extremity physical function, handgrip strength, nutritional status, cognition, mood, health-related quality of life, risk of functional decline, unplanned readmissions. Results: Participants were 79.2 ± 6.6 years old, 63% female, mostly frail (67%), with EFS of 8.6± 1.9. Adherence to the inpatient and home visits/telehealth intervention were high (91± 13% and 92± 21%, respectively). Intention-to-treat analysis using linear regression models showed that participants in the intervention group had significantly greater reduction in EFS at 3 (− 3.0; 95% CI: − 4.8 to − 3.0) and 6 months (− 2.5; 95% CI: − 3.8 to − 1.0, P < 0.001 for both) compared to the control group; particularly the functional performance component. There were also improvements in overall Short Physical Performance Battery score at 3 (4.0; 95% CI: 1.3 to 6.6) and 6 months (3.9; 95% CI: 1.0 to 6.9, P < 0.05 for both), mini-mental state examination (2.6; 95% 0.3– 4.8, P =0.029) at 3 months and handgrip strength (3.7; 95% CI: 0.2– 7.1, P =0.039) and Geriatric Depression Scale, at 6 months (− 2.2; 95% CI: − 4.1 to − 0.30, P =0.026) in the intervention group as compared to control. Conclusion: This study provided evidence of acceptability to a patient self-managed exercise-nutrition program that may benefit and alleviate pre-frailty and frailty in hospitalised older adults. Keywords: frailty, self-management, exercise, nutrition therapy
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".