Estimating long-term care needs in data-scarce settings: a diagnostic model with evidence from MENA
A practical planning tool estimates long-term care needs in under-resourced regions, helping governments prepare for aging populations.
This modeling study developed and validated a Long-Term Care Needs Index applicable to data-scarce settings, revealing substantial heterogeneity in care dependency across MENA countries (3-22.8% of population) driven primarily by disability and demographic ageing. The tool provides a policy-relevant framework for LTC system planning in regions with limited health data infrastructure.
What the study was
- Study design
- Modeling study / composite index development
- Population
- 8 MENA countries; population-level modeled estimates
- Category
- Public Health
- Maturity
- Exploratory
- Journal
- Population Health Metrics
Why it surfaced
Population-level LTC modeling for aging MENA region; policy-relevant but modeling/Bayesian study; population health impact modest relative to clinical studies.
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