Health Literacy and Information-Seeking in Pulmonary Nodule Patients, 2024 Survey

Jinting Sun's dataset contains survey results from 321 pulmonary nodule patients in Suzhou, China, collected from February to June 2024. It includes scores for health literacy, health information-seeking behavior, illness perception, and self-efficacy. The data was analyzed using structural equation modeling to test a serial mediation model.

Use Cases

• Testing mediation models based on the Information-Motivation-Behavioral Skills (IMB) framework described in the study.
• Analyzing correlations between health literacy and health information-seeking behavior scores.
• Examining the relationship between illness perception and self-efficacy in a patient population.
• Conducting multi-group analysis to compare model estimates by educational level as mentioned in the methods.

Strengths

• Data from 321 completed patient surveys provides a basis for statistical analysis.
• Analysis followed STROBE guidelines and used structural equation modeling with reported fit indices (χ²/df=1.46, CFI=0.982).
• Direct and indirect effect estimates are provided with 95% confidence intervals from bias-corrected bootstrapping.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the two hospitals in Suzhou, China.

Provenance

Source

Jinting Sun via figshare

Collection Method

Cross-sectional survey using convenience sampling from two tertiary hospitals.

Time Range

February to June 2024

Freshness

Last updated 2026-03-18 06:42:22; freshness should be verified.

Geography

Suzhou, China