Preconception Care Utilization Survey of 8,866 Pregnant Women in China

42.4% of 8,866 pregnant women surveyed across ten Chinese medical facilities utilized free preconception care between July 2023 and July 2024. The dataset, created by Xiaodong Wu and shared under CC-BY-4.0, applies machine learning and SHAP analysis to decompose disparities into individual 'effort' and structural 'circumstance' factors. Findings indicate individual factors like pregnancy intention and knowledge accounted for 74.1–93.6% of explained variation, while structural factors remained influential, especially for vulnerable subgroups.

Use Cases

• Train predictive models for preconception care uptake based on survey variables like pregnancy intention and PCC knowledge.
• Apply SHAP decomposition to quantify the relative contribution of structural versus individual factors to health disparities.
• Conduct subgroup analyses on PCC utilization stratified by education level, urban-rural residence, and pregnancy intention status.
• Evaluate the impact of annual PCC promotion campaigns at local maternal and child health institutions on service uptake.

Strengths

• Includes survey data from 8,866 pregnant women, providing a substantial sample size.
• Applies three machine learning models and SHAP analysis for explainable factor decomposition.
• Covers a specific one-year time range from July 1, 2023, to July 1, 2024.
• Conducted across ten medical facilities in China, suggesting multi-center representation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown for the underlying data file, which may limit suitability assessment.
• The primary data file is a 3.1 MB DOCX document, which may require extraction or conversion for analysis.

Provenance

Source

Xiaodong Wu via figshare

Collection Method

Multi-center cross-sectional survey conducted across ten medical facilities.

Time Range

July 1, 2023, to July 1, 2024

Freshness

Last updated 2026-05-07 05:44:06; freshness should be verified.

Geography

China