ERAC Knowledge, Attitudes, and Practices Survey of 766 Chinese Medical Staff

A multi-center cross-sectional survey of 766 obstetrics and gynecology medical staff in China, conducted between February 22 and March 31, 2025. The dataset contains scores for knowledge, attitude, and practice domains related to Enhanced Recovery After Cesarean section (ERAC). It was authored by Jiawei Chen and shared under a CC-BY-4.0 license.

Use Cases

• Modeling relationships between knowledge, attitude, and practice scores based on the structural equation modeling results.
• Analyzing demographic factors associated with ERAC knowledge levels based on the described participant characteristics.
• Assessing the impact of prior ERAC-specific training on practice scores based on the reported training status.
• Benchmarking domain scores against the 80% cutoff to categorize 'good' or 'poor' performance levels.

Strengths

• Contains 766 valid survey responses from a multi-center study.
• Provides specific average scores and ranges for knowledge (14.64 ± 5.93), attitude (44.18 ± 5.45), and practice (32.33 ± 10.30) domains.
• Includes demographic breakdowns, such as 89.43% female respondents and 36.03% with prior ERAC training.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown for the underlying data table, which may limit suitability assessment.
• The dataset is very small (29.3 KB), indicating limited scope or summary-level data.

Provenance

Source

Jiawei Chen

Collection Method

Structured questionnaire administered in a multi-center cross-sectional survey.

Time Range

Survey conducted between February 22 and March 31, 2025.

Freshness

Last updated 2026-04 05:58:09; freshness should be verified.

Geography

Data collected from 10 hospitals across various regions of China.