Data Sheet 1_Post-treatment status and unmet treatment needs after congenital heart defect

Kai Bai's dataset contains results from a cross-sectional screening of 1,024,531 school-aged children in China between 2024 and 2025. It reports the prevalence, treatment status, and ethnic disparities of congenital heart disease (CHD) using a four-category classification framework. The data was last updated on April 29, 2026.

Use Cases

• Evaluate the effectiveness of CHD screening policies based on the prevalence and treatment status metrics.
• Analyze ethnic disparities in healthcare access based on the reported differences in postoperative rates and unmet treatment needs.
• Model the distribution of CHD clinical management outcomes based on the four-category stratification (needing treatment, not needing treatment, postoperative, follow-up).
• Assess the scale of unmet treatment needs in pediatric populations based on the reported 14.3% of diagnosed cases requiring unmet treatment.

Strengths

• Large-scale sample of 1,024,531 participants across 12 counties.
• Clear prevalence metric of 3.30 cases per 1,000 children.
• Detailed outcome stratification into four clinical management categories with specific percentages (e.g., 48.7% postoperative).
• Multi-ethnic coverage across Yunnan, Xinjiang, and Chongqing regions.

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 three surveyed regions in China.

Provenance

Source

Kai Bai via figshare.

Collection Method

Cross-sectional screening involving cardiac auscultation and confirmatory echocardiography.

Time Range

2024–2025.

Freshness

Last updated 2026-04-29 05:57:35; freshness should be verified.

Geography

12 counties in Yunnan, Xinjiang, and Chongqing, China.