Implementation and validation of the WHO ICOPE framework in Andorra: a nationwide pilot study
Bibliographic record
Abstract
Background: Healthy ageing relies on preserving intrinsic capacity (IC), the combination of an individual's physical and mental capacities. The World Health Organization (WHO) developed the Integrated Care for Older People (ICOPE) framework as a person-centred care pathway to identify declines in IC and link older adults to appropriate interventions. The ICOPE model outlines a four-step approach involving basic community-based assessment, in-depth clinical evaluation, personalized care planning, and regular monitoring. However, evidence on large-scale implementation of this framework remains limited. Objective: To assess the feasibility and diagnostic accuracy of Step 1 screening across all seven municipalities of Andorra, and to link individuals to tailored interventions. Methods: From 2020 to 2025, 874 community-dwelling adults ≥ 60 years underwent Step 1 screening followed by full Step 2 assessment, using instruments from the WHO ICOPE Handbook.Local adaptations included a clock-drawing test, the Montreal Cognitive Assessment (MoCA), Body Mass Index (BMI), and frequency-based scoring of the Patient Health Questionnaire-9 (PHQ-9). Diagnostic metrics (sensitivity, specificity, and Cohen's kappa [κ]) were calculated for each domain. Referrals and interventions were tracked. Results: Of 857 participants analysed, Step 2 showed the highest prevalence of impairment in hearing (55 %) and cognition (39 %). Step 1 sensitivity improved notably after adaptations: cognition (+12 percentage points), mood (+30 percentage points), and nutrition (+6 percentage points), with vision specificity rising from 17 % to 99.5 %. Overall, 1 182 referrals were generated; 8 % joined a 12-week multicomponent programme including physical activity, nutrition and psychosocial support. Conclusion: The ICOPE model is feasible at national scale. Local adaptations significantly enhanced screening accuracy without added burden. The Andorran experience offers a scalable and replicable model for other countries or regions and highlights the value of embedding healthy ageing in community care.
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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 | 0.032 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".