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The European Journal of Health Economics
Published in: The European Journal of Health Economics 5/2013

01-10-2013 | Original Paper

Analysis of HIV/AIDS DRG in Portugal: a hierarchical finite mixture model

Authors: Sara Simões Dias, Valeska Andreozzi, Rosário O. Martins

Published in: The European Journal of Health Economics | Issue 5/2013

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Abstract

Inpatient length of stay (LOS) is an important measure of hospital activity, but its empirical distribution is often positively skewed, representing a challenge for statistical analysis. Taking this feature into account, we seek to identify factors that are associated with HIV/AIDS through a hierarchical finite mixture model. A mixture of normal components is applied to adult HIV/AIDS diagnosis-related group data (DRG) from 2008. The model accounts for the demographic and clinical characteristics of the patients, as well the inherent correlation of patients clustered within hospitals. In the present research, a normal mixture distribution was fitted to the logarithm of LOS and it was found that a model with two-components had the best fit, resulting in two subgroups of LOS: a short-stay subgroup and a long-stay subgroup. Associated risk factors for both groups were identified as well as some statistical differences in the hospitals. Our findings provide important information for policy makers in terms of discharge planning and the efficient management of LOS. The presence of “atypical” hospitals also suggests that hospitals should not be viewed or treated as homogenous bodies.
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Metadata
Title
Analysis of HIV/AIDS DRG in Portugal: a hierarchical finite mixture model
Authors
Sara Simões Dias
Valeska Andreozzi
Rosário O. Martins
Publication date
01-10-2013
Publisher
Springer Berlin Heidelberg
Published in
The European Journal of Health Economics / Issue 5/2013
Print ISSN: 1618-7598
Electronic ISSN: 1618-7601
DOI
https://doi.org/10.1007/s10198-012-0416-5

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