title: Quantifying the Diversity and Similarity of Surgical Procedures Among Hospitals and Anesthesia Providers.
abstract: In this Statistical Grand Rounds, we review methods for the analysis of the diversity of procedures among hospitals, the activities among anesthesia providers, etc. We apply multiple methods and consider their relative reliability and usefulness for perioperative applications, including calculations of SEs. We also review methods for comparing the similarity of procedures among hospitals, activities among anesthesia providers, etc. We again apply multiple methods and consider their relative reliability and usefulness for perioperative applications. The applications include strategic analyses (e.g., hospital marketing) and human resource analytics (e.g., comparisons among providers). Measures of diversity of procedures and activities (e.g., Herfindahl and Gini-Simpson index) are used for quantification of each facility (hospital) or anesthesia provider, one at a time. Diversity can be thought of as a summary measure. Thus, if the diversity of procedures for 48 hospitals is studied, the diversity (and its SE) is being calculated for each hospital. Likewise, the effective numbers of common procedures at each hospital can be calculated (e.g., by using the exponential of the Shannon index). Measures of similarity are pairwise assessments. Thus, if quantifying the similarity of procedures among cases with a break or handoff versus cases without a break or handoff, a similarity index represents a correlation coefficient. There are several different measures of similarity, and we compare their features and applicability for perioperative data. We rely extensively on sensitivity analyses to interpret observed values of the similarity index.
authors.affiliation: From the *Division of Management Consulting, Department of Anesthesia; †Department of Management Sciences; and ‡Department of Anesthesia, University of Iowa, Iowa City, Iowa.
authors.forename: Franklin
authors.initials: F
authors.lastname: Dexter
authors.forename: Johannes
authors.initials: J
authors.lastname: Ledolter
authors.forename: Bradley J
authors.initials: BJ
authors.lastname: Hindman
mesh_terms: D000761:Anesthesia Department, Hospital / Q000706:statistics & numerical data / Q000639:trends*; D000776:Anesthesiology / Q000706:statistics & numerical data / Q000639:trends*; D003627:Data Interpretation, Statistical; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D062209:Patient Handoff / Q000639:trends; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data / Q000639:trends*; D019984:Quality Indicators, Health Care / Q000706:statistics & numerical data / Q000639:trends*; D012044:Regression Analysis; D013514:Surgical Procedures, Operative / Q000706:statistics & numerical data / Q000639:trends*