Outpatient Antibiotic Prescription Review Data Before and After Rule Changes

Prescription data from a prospective review system at Affiliated Yangming Hospital of Ningbo University, China, comparing the rationality of outpatient antibiotic prescriptions before and after implementing refined management rules. The dataset likely contains metrics on prescription rates, indications, dosage, and drug interactions. It was authored by Dong Pan and last updated on 2026-05-21.

Use Cases

• Evaluate the effectiveness of refined prescription review rules based on the reported decrease in irrational prescription rates.
• Analyze changes in specific prescription error categories, such as inappropriate indications or dosage, based on the comparative metrics provided.
• Benchmark antibiotic prescription quality improvement strategies for other county-level hospitals based on the intervention results.

Strengths

• Provides specific, quantified results showing a reduction in irrational prescription rates from 20.46% to 7.80%.
• Includes detailed breakdowns of improvement across multiple error categories, such as inappropriate indications and dosage.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to a single county-level hospital in China.

Provenance

Source

Affiliated Yangming Hospital of Ningbo University, China.

Collection Method

Comparative analysis of prescription data before and after implementing refined management rules.

Freshness

Last updated 2026-05-21 17:34:21; freshness should be verified.

Geography

County-level hospital in China.