An urban academic medical center in the US studied a retrospective cohort of 915 patients undergoing laparoscopic or abdominal hysterectomy or myomectomy between 2020 and 2023. The dataset, authored by Stephanie Asdell and hosted on Harvard Dataverse, examines postoperative complication rates by race and insurance type. The overall complication rate was 5.2%, with analysis adjusted for specimen weight.
Use Cases
- Analyzing disparities in surgical access based on race and insurance type mentioned in the description
- Modeling postoperative complication risk based on patient demographics and procedure details
- Studying the relationship between specimen weight and surgical outcomes for hysterectomy and myomectomy
Strengths
- Includes 915 patient records from a defined 2020-2023 period
- Reports specific complication rates (5.2% overall) and demographic breakdowns (57% Black patients)
- Provides detailed statistical comparisons, such as mean specimen weights (225.8g vs. 98.2g) and minimally invasive surgery rates
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 and institutional bias inherent to a single urban academic center
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Retrospective cohort study at an urban academic medical center
- Time Range
- 2020-2023
- Freshness
- Last updated 2026-06-02 00:22:47; freshness should be verified
- Geography
- United States (urban academic medical center)