- Autores: Dias SS, Martins MR
- Ano de Publicação: 2015
- Journal: Procedia Computer Science
- Link: https://www.sciencedirect.com/science/article/pii/S1877050915027520
Costs with HIV/AIDS hospitalizations are one of the major financial burdens on healthcare systems worldwide. In Portugal, hospitalizations related to HIV infection are some of the most expensive and the second major diagnosis category, and also accounts for the greatest average length of stay. As a result, it is crucial to understand and identify HIV/AIDS hospital length of stay outliers. The objective of this study is to analyse HIV/AIDS length of stay high outliers during five consecutive years (2009-2013) and to identify its determinants for a specific HIV/AIDS diagnosis related group. To attain these objectives we will use a logistic regression model with random effects. (C) 2015 The Authors. Published by Elsevier B.V.