Health Literacy and Attitudes Toward Clinical AI: Survey Data from Istanbul

354 survey responses from Istanbul link health literacy to attitudes toward clinical artificial intelligence. The data includes scores from the Turkish Health Literacy Scale (HLS-14-TR) and the validated Artificial Intelligence Knowledge, Usage, and Attitudes Scale (AI-KUAS). Kadriye Sönmez authored this cross-sectional study, which was last updated in May 2026.

Use Cases

• Analyze correlations between health literacy scores and AI attitudes based on survey responses.
• Train models to predict AI acceptance subgroups based on demographic and literacy variables mentioned.
• Validate psychometric scales for measuring AI knowledge and usage in clinical contexts.

Strengths

• Dataset includes a validation sample of 293 responses used for scale development.
• The AI-KUAS scale demonstrated high internal consistency (α = .961).
• Health literacy showed a moderate correlation with AI attitudes (r = .51).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary application sample is 354, which is a relatively small sample size.
• Data is from a single cross-sectional study in Istanbul, limiting generalizability.

Provenance

Source

Kadriye Sönmez via figshare

Collection Method

Cross-sectional survey study using two samples: a validation sample and a separate application sample.

Freshness

Last updated 2026-05-07 05:24:53

Geography

Istanbul, Turkey