title: Approaching the management of hospital units with an operation research technique: the case of 32 Greek obstetric and gynaecology public units.
abstract: Controlling healthcare costs is a multifaceted problem for governments all over the world, as they have the difficult task of ensuring that patients receive high quality care, and that this is delivered as efficiently as possible. Through the use of quantitative analysis, an attempt is made to determine the areas of activity of 32 Greek Public Obstetrical and Gynaecological Units which present problems with regard to their performance. Based on the results that emerge from the application of Data Envelopment Analysis in the 32 hospital units of the sample, information is provided to their managers, which refer to: (i) the degree of utilization of their production factors, (ii) the particular weight of each factor of production in the formation of the relative efficiency score, (iii) the utilization level of each factor of production, and (iv) those hospital units that utilize their factors of production in an optimal way and constitute models for the exercising of effective management. The derived information assists in the formulation of an appropriate policy mix per hospital unit which should be applied by their management teams along with a set of administrative measures that need to be undertaken in order to promote efficiency.
authors.affiliation: National and Kapodistrian University of Athens, Egnatias 25, 12137 Athens, Greece. M.Katharaki@gmail.com
authors.forename: Maria
authors.initials: M
authors.lastname: Katharaki
mesh_terms: D003363:Cost Control; D017598:Efficiency, Organizational / Q000191:economics; D005260:Female; D006115:Greece; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D008330:Management Audit; D009775:Obstetrics and Gynecology Department, Hospital / Q000458:organization & administration* / Q000706:statistics & numerical data; D009874:Operations Research; D011382:Programming, Linear; D017749:Total Quality Management / Q000706:statistics & numerical data*; D014600:Utilization Review / Q000706:statistics & numerical data