Medical Complaint Risk Factors for 406 Healthcare Staff in a Chinese Hospital, 2024-2025

A cross-sectional study of 406 healthcare professionals at the Fourth Affiliated Hospital of Harbin Medical University between May 2024 and August 2025. The dataset, authored by Jiayi Huang, includes variables on occupational characteristics, workload, burnout scores, and legal training to model the risk of formal medical complaints.

Use Cases

• Predicting individual staff risk for medical complaints based on burnout and workload factors.
• Analyzing the association between legal training frequency and complaint incidence.
• Modeling the U-shaped relationship between defensive medical behaviors and complaint risk.
• Developing hospital intervention strategies targeting high-risk occupational characteristics.

Strengths

• Data from 406 healthcare professionals (187 physicians, 219 nurses) provides a defined sample size.
• Model validation metrics are reported, including a Concordance Index (C-index) of 0.82.
• Independent risk factors are identified with specific odds ratios and confidence intervals.

Limitations

• Row count and column-level documentation for the underlying data are unknown.
• Data is from a single-center study, which may limit generalizability.
• The dataset is small (366.5 KB), indicating limited scope and likely aggregated summary statistics.

Provenance

Source

Jiayi Huang, via figshare.

Collection Method

Single-center, cross-sectional retrospective study using surveys and institutional records.

Time Range

May 2024 to August 2025.

Freshness

Last updated 2026-05-21 16:02:41.

Geography

Fourth Affiliated Hospital of Harbin Medical University, China.