IMPACT OF THE CRITICAL CARE PATHWAY ON INTRINSIC CAPACITY ON HEALTHY AGING PROMOTION
Bibliographic record
Abstract
Abstract The United Nations Decade of Healthy Aging prompted the implementation of the “Pathway to Healthy Aging”, a 12-week health-social collaborative care program. This program, based on the Integrated Care for Older People (ICOPE) care pathway by the World Health Organization, incorporated clinical critical pathways, empowerment-based behavior modification, and health-oriented peer support. Intrinsic capacities of older adults were used as health indicators for effectiveness evaluation. From January 2023 to January 2024, 1024 older adults (female = 868; Mage = 75.5, SD = 7.52) participated, with 493 completing a six-month follow-up. Outcome-based evaluations demonstrated significant improvements across three time-points in locomotor capacity based on Timed Up and Go Test (χ²(6)=73.49, p<0.001, Cramér’s V=0.16) and Short Physical Performance Battery (χ²(4)=31.83, p<0.001, Cramér’s V=0.12), cognitive capacity (measured by Montreal Cognitive Assessment 5-minute protocol; F(2, 984)=52.93, p<0.001, partial η²=0.11), and psychological capacity (measured by 15-item Geriatric Depression Scale; F(2, 984)=11.31, p<0.001, partial η²=0.09). No significant change in hand grip strength (χ²(4)=6.15, p=0.188). Vitality capacity, based on Mini Nutritional Assessment, improved immediately after the program (χ²(4)=7.45, p=0.047, Cramér’s V=0.09) but showed no significant further change at the six-month follow-up, based on pairwise comparison analyses (Bonferroni’s correction). Insomnia (The Insomnia Severity Index) also significantly improved (χ²(6)=77.42, p<0.001; Cramér’s V=0.16). This program demonstrates the effectiveness of the ICOPE care model in promoting healthy aging in real-world settings, emphasizing the potential of collaborative care models to enhance the elderly population’s intrinsic capacities. These findings have critical implications for stakeholders working towards the United Nations’ goal of fostering healthy aging.
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 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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".