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  1. Analyzing intensive care unit length of stay data : Problems and possible solutions.

    Article - En anglais


    To explore methods of evaluating the length of stay patterns of intensive care unit (ICU) patients.

    It was hypothesized that the mean does not adequately describe the typical length of stay (central tendency) because distribution patterns are often markedly skewed by patients with extended stays.

    Therefore, other descriptors are needed.

    In addition, ways are needed to identify outliers-patients with stays longer or shorter than the bulk of the data.


    Review of retrospective data.


    University hospital surgical ICU.


    Representative data included all (4,499) patients admitted over a 6-yr period.

    Each was assigned to a diagnostic group that represented either a frequently performed surgical procedure (e.g., thymectomy) or in cases where there was no predominant procedure, a surgical discipline (e.g., otolaryngology).



    Measurements and Main Results 

    The frequency distributions were usually skewed to the right and included two populations of interest : The portion with the majority of observations ( « body »), which described « typical » behavior, and the « tail », which provided information on outliers.

    The average of the mean lengths of stay of all diagnostic groups was higher than the average of the medians (3.9 ± 1.8 [SD] vs. 2.7 ± 1.1 days, p<. 001) and modes (2.1 ± 1.2 days, p<. 001), reflecting the rightward skewness of the length of stay frequency distributions. (...)

    Mots-clés Pascal : Unité soin intensif, Temps séjour, Hospitalisation, Evaluation, Méthode mesure, Homme

    Mots-clés Pascal anglais : Intensive care unit, Residence time, Hospitalization, Evaluation, Measurement method, Human

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 97-0479595

    Code Inist : 002B27B14C. Création : 03/02/1998.

Fermeture du portail BDSP le 1er juillet 2019

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