Child Restraint System Intervention Trial Data from Shanghai, 2024-2025

501 participants from five communities in Shanghai's Huangpu District were recruited for a community-based intervention trial from August 2024 to March 2025. The dataset likely contains results from a multimodal intervention combining educational materials and AI-assisted voice calls to promote child restraint system use. The study was authored by Ning Gao and shared under a CC-BY-4.0 license.

Use Cases

• Evaluate the impact of AI-assisted voice calls on consistent child seat use based on the intervention results.
• Analyze factors associated with child restraint ownership based on variables like child age and parental education.
• Model the relationship between installation errors and intervention type based on the reported error rates.
• Compare the effectiveness of integrated community interventions versus conventional education based on the study design.

Strengths

• Data from a controlled trial with 501 participants split into intervention (n=201) and control (n=300) groups.
• Includes specific outcome metrics such as CRS ownership rate (90.05% vs 91.33%) and consistent use rate (50.75% vs 38.33%).
• Results include statistical measures like odds ratios (OR=2.18 for consistent use) and confidence intervals.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Geographic scope is limited to five communities in one district of Shanghai, China.

Provenance

Source

figshare

Collection Method

Community-based intervention trial with participant recruitment.

Time Range

August 2024 to March 2025

Freshness

Last updated 2026-04-20 04:11:41; freshness should be verified.

Geography

Huangpu District, Shanghai, China