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

A multi-center cross-sectional survey of 766 obstetrics and gynecology medical staff across 10 hospitals in China, conducted between February 22 and March 31, 2025. The dataset, authored by Jiawei Chen and published on figshare, assesses knowledge, attitudes, and practices concerning Enhanced Recovery After Cesarean section (ERAC). It includes demographic details and scores for knowledge, attitude, and practice domains.

Use Cases

• Modeling the relationship between knowledge, attitude, and practice scores using structural equation modeling techniques mentioned in the results.
• Assessing the impact of prior ERAC-specific training on domain scores based on the demographic characteristics collected.
• Identifying knowledge gaps and suboptimal practices to inform targeted educational interventions as discussed in the study.
• Analyzing demographic factors (e.g., gender, hospital region) associated with variations in KAP scores.

Strengths

• Contains 766 valid survey responses with a high valid questionnaire rate of 85.97%.
• Provides specific average scores and ranges for knowledge (14.64 ± 5.93), attitude (44.18 ± 5.45), and practice (32.33 ± 10.30) domains.
• Data collection was structured and conducted across 10 hospitals in multiple regions of China, suggesting a multi-center perspective.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 49.8 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Multi-center cross-sectional survey using a structured questionnaire.

Time Range

Survey conducted between February 22 and March 31, 2025.

Freshness

Last updated 2026-04-10 05:58:11; freshness should be verified.

Geography

10 hospitals located across various regions of China.