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

Fingerprint

Normal Mixture
Mixture Model
HIV Infection
Finite Mixture
Relative Efficiency
Risk Factors
Random Effects
Logarithm
Resources

Keywords

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

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
Dias, Sara Simões ; Andreozzi, Valeska ; Martins, Maria Oliveira. / Hierarchical normal mixture model to analyse HIV/AIDS los. Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies. Springer International Publishing, 2014. pp. 219-227 (Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies).
@inbook{d1e9282ee2b74c9e94344b24bfeaa3e9,
title = "Hierarchical normal mixture model to analyse HIV/AIDS los",
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.",
keywords = "Central Health System, Diagnosis Related Group, Large Positive Effect, Multilevel Structure Data, Urgent Admission",
author = "Dias, {Sara Sim{\~o}es} and Valeska Andreozzi and Martins, {Maria Oliveira}",
year = "2014",
month = "1",
day = "1",
doi = "10.1007/978-3-319-05323-3_21",
language = "English",
series = "Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies",
publisher = "Springer International Publishing",
pages = "219--227",
booktitle = "Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies",

}

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

Hierarchical normal mixture model to analyse HIV/AIDS los. / Dias, Sara Simões; Andreozzi, Valeska; Martins, Maria Oliveira.

Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies. Springer International Publishing, 2014. p. 219-227 (Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Hierarchical normal mixture model to analyse HIV/AIDS los

AU - Dias, Sara Simões

AU - Andreozzi, Valeska

AU - Martins, Maria Oliveira

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

KW - Central Health System

KW - Diagnosis Related Group

KW - Large Positive Effect

KW - Multilevel Structure Data

KW - Urgent Admission

UR - http://www.scopus.com/inward/record.url?scp=85060313054&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-05323-3_21

DO - 10.1007/978-3-319-05323-3_21

M3 - Chapter

T3 - Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies

SP - 219

EP - 227

BT - Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies

PB - Springer International Publishing

ER -

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