Publication
HIV AIDS Length of Stay Outliers
| datacite.subject.fos | Ciências Médicas::Ciências da Saúde | |
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| dc.contributor.author | Dias, S. Sara | |
| dc.contributor.author | Martins, Maria F.O. | |
| dc.date.accessioned | 2025-11-14T13:57:06Z | |
| dc.date.available | 2025-11-14T13:57:06Z | |
| dc.date.issued | 2015 | |
| dc.description | Conference name Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, CENTERIS 2015 | |
| dc.description | Conference date 7 October 2015 - 9 October 2015 | |
| dc.description | Conference city Vilamoura, Portugal | |
| dc.description.abstract | 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. | eng |
| dc.description.sponsorship | ||
| dc.identifier.citation | Dias, S. S., & Martins, M. F. O. (2015). HIV AIDS length of stay outliers. In MM. CruzCunha, J. Varajao, R. Rijo, R. Martinho, P. Schubert, A. Boonstra, R. Correia, & R. Berler (Eds.), CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015 (pp. 984-992). (Procedia Computer Science; Vol. 64). Elsevier Science B.V., Inc. https://doi.org/10.1016/j.procs.2015.08.617 | |
| dc.identifier.doi | 10.1016/j.procs.2015.08.617 | |
| dc.identifier.issn | 1877-0509 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/14622 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier | |
| dc.relation.hasversion | https://www.sciencedirect.com/science/article/pii/S1877050915027520 | |
| dc.relation.ispartof | Procedia Computer Science | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | HIV/AIDS | |
| dc.subject | Hospital length of stay | |
| dc.subject | outliers | |
| dc.subject | random effects | |
| dc.title | HIV AIDS Length of Stay Outliers | eng |
| dc.title.alternative | Conference on ENTERprise Information Systems / International Conference on Project MANagement / Conference on Health and Social Care Information Systems and Technologies, CENTERIS / ProjMAN / HCist 2015 October 7-9, 2015 | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 992 | |
| oaire.citation.startPage | 984 | |
| oaire.citation.title | Procedia Computer Science | |
| oaire.citation.volume | 64 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Dias | |
| person.givenName | Sara | |
| person.identifier.ciencia-id | AA1F-9375-B5E6 | |
| person.identifier.orcid | 0000-0001-6782-7481 | |
| person.identifier.rid | I-9965-2018 | |
| person.identifier.scopus-author-id | 33367487300 | |
| relation.isAuthorOfPublication | a49e0bc6-cfea-4033-aebf-a1ef9e4c5e7b | |
| relation.isAuthorOfPublication.latestForDiscovery | a49e0bc6-cfea-4033-aebf-a1ef9e4c5e7b |