Pre-Prescription Review System Analysis from a Chinese Tertiary Hospital

A 5.3 MB DOCX file contains a retrospective study analyzing the effectiveness of a Pre-Prescription Review System (PPRS). The research, conducted by Jiajia Gui, evaluates changes in prescription rationality rates and system alert levels before and after PPRS implementation at a hospital in Chongqing, China. It reports significant increases in rationality rates for total prescriptions (92.53% vs. 99.94%) and medical orders (97.77% vs. 99.99%).

Use Cases

• Analyze trends in prescription rationality rate changes before and after system intervention.
• Study the proportion of prescriptions with specific issues like repeated medication or usage and dosage problems.
• Evaluate shifts in PPRS intercepted alert proportions across different warning levels (Level 2, Level 3, Level 4).
• Model the relationship between refined management pathways and the reduction of invalid alerts.

Strengths

• Study reports statistically significant results (P < 0.0001) for primary outcomes like rationality rates.
• Analysis includes specific performance metrics, such as a decrease in repeated medication from 24.94% to 3.85%.
• Data originates from a real-world study conducted at a tertiary hospital, providing clinical context.

Limitations

• The dataset is a 5.3 MB DOCX document, not a structured tabular file, limiting direct computational analysis.
• Data is from a single-center study in one Chinese city, which may limit generalizability.
• The core numerical results are presented in summarized form within the study text, not as raw observation-level data.

Provenance

Source

Jiajia Gui via figshare.

Collection Method

Single-center real-world retrospective analysis using evidence-based methods and descriptive statistics.

Time Range

Period before and after PPRS implementation (specific dates not provided).

Freshness

Last updated March 2026.

Geography

A tertiary hospital in Chongqing, China.