Emergency Department PIA Time and Change by CTAS Level and Location, 2015-2026

A dataset from figshare by Moein Yoosefi, last updated in May 2026. It contains the mean of PIA time and percent of change, stratified by different CTAS levels and rural/urban location. The data covers the period from 2015 to 2026 and is adjusted for variables including sex, age, year, seasons, ED locations, and the time of ED visit.

Use Cases

• Analyzing trends in emergency department wait times based on the reported PIA time metric.
• Comparing healthcare access disparities between rural and urban settings based on the location variable.
• Modeling the impact of patient acuity (CTAS levels) on processing intervals.
• Investigating seasonal or temporal patterns in ED visit metrics mentioned in the description.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Covers a 12-year time range from 2015 to 2026.
• Includes adjustments for multiple demographic and temporal variables.

Limitations

• Dataset is very small at 9.5 KB, indicating limited scope.
• Row count and specific column definitions are unknown, requiring manual inspection.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Moein Yoosefi.

Time Range

2015 to 2026

Freshness

Last updated 2026-05-19 17:33:49; freshness should be verified.