title: Methods for understanding super-efficient data envelopment analysis results with an application to hospital inpatient surgery.
abstract: We compare two techniques for increasing the transparency and face validity of Data Envelopment Analysis (DEA) results for managers at a single decision-making unit: multifactor efficiency (MFE) and non-radial super-efficiency (NRSE). Both methods incorporate the slack values from the super-efficient DEA model to provide a more robust performance measure than radial super-efficiency scores. MFE and NRSE are equivalent for unique optimal solutions and a single output. MFE incorporates the slack values from multiple output variables, whereas NRSE does not. MFE can be more transparent to managers since it involves no additional optimization steps beyond the DEA, whereas NRSE requires several. We compare results for operating room managers at an Iowa hospital evaluating its growth potential for multiple surgical specialties. In addition, we address the problem of upward bias of the slack values of the super-efficient DEA model.
authors.affiliation: Policy Analysis and Management, Cornell University, Ithaca, New York, USA. lo22@cornell.edu
authors.forename: Liam
authors.initials: L
authors.lastname: O'Neill
authors.forename: Franklin
authors.initials: F
authors.lastname: Dexter
mesh_terms: D019985:Benchmarking / Q000379:methods*; D006760:Hospitalization; D006801:Humans; D016014:Linear Models; D013223:Statistics as Topic / Q000379:methods*; D013514:Surgical Procedures, Operative / Q000145:classification / Q000706:statistics & numerical data*