logo BDSP

Base documentaire


Votre avis nous intéresse

Le réseau BDSP met en oeuvre un projet d'innovation et d'amélioration de ses services, dans le souci constant de proposer des contenus de qualité adaptés aux besoins des utilisateurs.

Identifier de nouvelles sources de financements est la condition nécessaire pour assurer la poursuite et la pérennité de cet outil unique qu'est la BDSP, tout en le faisant évoluer.

Pour définir un nouveau modèle économique, nous avons besoin de votre avis : merci de répondre à notre enquête (temps estimé : 5 minutes).

Participer maintenant
Participer plus tard J'ai déjà participé

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

    Article - En anglais

    Objectives 

    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.

    Design 

    Review of retrospective data.

    Setting 

    University hospital surgical ICU.

    Patients 

    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).

    Interventions 

    None.

    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.