1 Citation (Scopus)

Abstract

Inpatient length of stay (LOS) is an important measure of hospital activity and is often considered as a proxy of hospital resource consumption. In Portugal, hospitalizations related to HIV infection are some of the most expensive and the second major diagnosis category with greatest average LOS. This paper investigates factors associated with HIV/AIDS LOS. A hierarchical finite normal mixture model was fitted to the logarithm of LOS, to account for the inherent correlation of patients clustered in hospitals. We found that the model with two components had the best fit. In addition associated risk factors were identified for each component and the random effects make possible a comparison of relative efficiencies among hospitals.

Original languageEnglish
Title of host publicationStudies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies
PublisherSpringer International Publishing
Pages219-227
Number of pages9
DOIs
Publication statusPublished - 1 Jan 2014

Publication series

NameStudies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies
ISSN (Print)2194-7767
ISSN (Electronic)2194-7775

Keywords

  • Central Health System
  • Diagnosis Related Group
  • Large Positive Effect
  • Multilevel Structure Data
  • Urgent Admission

Fingerprint Dive into the research topics of 'Hierarchical normal mixture model to analyse HIV/AIDS los'. Together they form a unique fingerprint.

  • Cite this

    Dias, S. S., Andreozzi, V., & Martins, M. O. (2014). Hierarchical normal mixture model to analyse HIV/AIDS los. In Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies (pp. 219-227). (Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies). Springer International Publishing. https://doi.org/10.1007/978-3-319-05323-3_21