Statistical Power Analyses for Quantifying the Similarity of Categories of Surgical Procedures Among Pairs of Hospitals and Ambulatory Facilities

Investigators can expect a high probability of obtaining sufficient organizational sample sizes for qualitative interviews when using large-scale databases. Although only a small fraction (approximately 1%) of organization pairs exhibit high similarity, the sheer number of potential pairs in state, provincial, and national databases compensates for this. However, for an individual organization seeking to identify peers for qualitative comparison, the chance of finding highly similar matches based on similar surgical procedures is extremely low, unless joining a very large data collective.

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Publication Details

Journal
Cureus
Published
2025-04-05
DOI
https://doi.org/10.7759/cureus.81761
Primary Topic
Advanced Statistical Process Monitoring
Type
article
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article

Statistical Power Analyses for Quantifying the Similarity of Categories of Surgical Procedures Among Pairs of Hospitals and Ambulatory Facilities

Franklin Dexter, Richard H. Epstein, Richard P. Dutton, Rachel A. Hadler
Cureus
Advanced Statistical Process Monitoring
article

Statistical Power Analyses for Quantifying the Similarity of Categories of Surgical Procedures Among Pairs of Hospitals and Ambulatory Facilities

Franklin Dexter, Richard H. Epstein, Richard P. Dutton, Rachel A. Hadler
article en

Abstract

Investigators can expect a high probability of obtaining sufficient organizational sample sizes for qualitative interviews when using large-scale databases. Although only a small fraction (approximately 1%) of organization pairs exhibit high similarity, the sheer number of potential pairs in state, provincial, and national databases compensates for this. However, for an individual organization seeking to identify peers for qualitative comparison, the chance of finding highly similar matches based on similar surgical procedures is extremely low, unless joining a very large data collective.

CureusVol. 17(4)
University of Iowa (US), University of Miami (US)
Openalex Percentile: Top 93%
Advanced Statistical Process Monitoring
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