title: Exploring models for the length of stay distribution.
abstract: Diagnosis Related Groups (DRG) are frequently used to standardize the comparison of consumption variables, such as length of stay (LOS). In order to be reliable, this comparison must control for the presence of outliers, i.e. values far removed from the pattern set by the majority of the data. Indeed, outliers can distort the usual statistical summaries, such as means and variances. A common practice is to trim LOS values according to various empirical rules, but there is little theoretical support for choosing between alternative procedures. This pilot study explores the possibility of describing LOS distributions with parametric models which provide the necessary framework for the use of robust methods.
authors.affiliation: Institut universitaire de médecine sociale et préventive, Lausanne.
authors.forename: C
authors.initials: C
authors.lastname: Ruffieux
authors.forename: A
authors.initials: A
authors.lastname: Marazzi
authors.forename: F
authors.initials: F
authors.lastname: Paccaud
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D003953:Diagnosis-Related Groups; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007902:Length of Stay; D016015:Logistic Models; D008875:Middle Aged; D015233:Models, Statistical; D010865:Pilot Projects; D013557:Switzerland