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Home / Archives for Dias SS

HIV/AIDS length of stay in Portugal under financial constraints: a longitudinal study for public hospitals, 2009–2014

  • Autores: Augusto GF, Dias SS, Abrantes AV, Martins MRO
  • Ano de Publicação: 2019
  • Journal: BMC Health Services Research
  • Link: https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-019-4131-0

Background The global financial crisis and the economic and financial adjustment programme (EFAP) forced the Portuguese government to adopt austerity measures, which also included the health sector. The aim of this study was to analyse factors associated with HIV/AIDS patients’ length of stay (LOS) among Portuguese hospitals, and the potential impact of the EFAP measures […]
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Estimating risk factors for HIV infection among women in Mozambique using population-based survey data

  • Autores: Dias SS, Mbofana F, Cassy SR, Dias S, Augusto GF, Agadjanian V, Martins MRO
  • Ano de Publicação: 2018
  • Journal: African Journal of AIDS Research
  • Link: https://www.ncbi.nlm.nih.gov/pubmed/29504505%20

The use of population-based survey data together with sound statistical methods can enhance better estimation of HIV risk factors and explain variations across subgroups of the population. The distribution and determinants of HIV infection in populations must be taken into consideration. We analysed data from the HIV Prevalence and Behaviour Survey in Mozambique aiming to […]
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HIV AIDS length of stay outliers

  • 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 […]
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Analysis of HIV/AIDS DRG in Portugal: a Hierarchical Finite Mixture Model

  • Autores: Andreozzi V, Dias SS, Martins MO
  • Ano de Publicação: 2013
  • Journal: The European Journal of Health Economics
  • Link: http://www.ncbi.nlm.nih.gov/pubmed/22864565

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.
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About GHTM

GHTM is a R&D Center that brings together researchers from IHMT with a track record in Tropical Medicine and International/Global Health. It aims at strengthening Portugal's role as a leading partner in the development and implementation of a global health research agenda. Our evidence-based interventions contribute to the promotion of equity in health and to improve the health of populations.

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