Healthcare Professional Awareness of Medication Error Reporting, N=1,988

A 2026 dataset by Stephen Mensah Arhin contains results from a Poisson regression model analyzing factors linked to awareness of medication error reporting among healthcare professionals. The model is based on a sample of 1,988 respondents. The data is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Modeling factors associated with reporting awareness based on the described regression analysis.
• Benchmarking awareness levels across different healthcare professional groups.
• Informing the design of targeted interventions to improve medication error reporting.

Strengths

• Dataset is based on a specific sample size of 1,988 healthcare professionals.
• The analysis uses a defined statistical method (Poisson regression) as described.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely collected via survey or administrative records, as inferred from the regression analysis description.

Freshness

Last updated 2026-05-21 17:41:40; freshness should be verified.