HIV AIDS length of stay outliers

Sara S. Dias; Maria F.O. Martins

doi:10.1016/j.procs.2015.08.617

HIV AIDS length of stay outliers

Sara S. Dias, Maria F.O. Martins

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

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. (C) 2015 The Authors. Published by Elsevier B.V.

Original language	English
Title of host publication	CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015
Editors	MM CruzCunha, J Varajao, R Rijo, R Martinho, P Schubert, A Boonstra, R Correia, R Berler
Publisher	Elsevier Science B.V., Inc
Pages	984-992
Number of pages	9
DOIs	https://doi.org/10.1016/j.procs.2015.08.617
Publication status	Published - 2015
Event	Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist) - Vilamoura, Portugal Duration: 7 Oct 2015 → 9 Oct 2015

Publication series

Name	Procedia Computer Science
Publisher	ELSEVIER SCIENCE BV
Volume	64
ISSN (Print)	1877-0509

Conference

Conference	Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist)
Country/Territory	Portugal
City	Vilamoura
Period	7/10/15 → 9/10/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Hospital length of stay
outliers
random effects
HIV/AIDS
MIXTURE REGRESSION
INPATIENT LENGTH
PUBLIC-HEALTH

Access to Document

10.1016/j.procs.2015.08.617

Cite this

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

Dias, Sara S. ; Martins, Maria F.O. / HIV AIDS length of stay outliers. CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015. editor / MM CruzCunha ; J Varajao ; R Rijo ; R Martinho ; P Schubert ; A Boonstra ; R Correia ; R Berler. Elsevier Science B.V., Inc, 2015. pp. 984-992 (Procedia Computer Science).

@inproceedings{62f6f156b1314c2ba7fdf3bd4998fdd7,

title = "HIV AIDS length of stay outliers",

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. (C) 2015 The Authors. Published by Elsevier B.V.",

keywords = "Hospital length of stay, outliers, random effects, HIV/AIDS, MIXTURE REGRESSION, INPATIENT LENGTH, PUBLIC-HEALTH",

author = "Dias, \{Sara S.\} and Martins, \{Maria F.O.\}",

note = "WOS:000373839900125; Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist) ; Conference date: 07-10-2015 Through 09-10-2015",

year = "2015",

doi = "10.1016/j.procs.2015.08.617",

language = "English",

series = "Procedia Computer Science",

publisher = "Elsevier Science B.V., Inc",

pages = "984--992",

editor = "MM CruzCunha and J Varajao and R Rijo and R Martinho and P Schubert and A Boonstra and R Correia and R Berler",

booktitle = "CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015",

}

Dias, SS & Martins, MFO 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. Procedia Computer Science, vol. 64, Elsevier Science B.V., Inc, pp. 984-992, Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist), Vilamoura, Portugal, 7/10/15. https://doi.org/10.1016/j.procs.2015.08.617

HIV AIDS length of stay outliers. / Dias, Sara S.; Martins, Maria F.O.
CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015. ed. / MM CruzCunha; J Varajao; R Rijo; R Martinho; P Schubert; A Boonstra; R Correia; R Berler. Elsevier Science B.V., Inc, 2015. p. 984-992 (Procedia Computer Science; Vol. 64).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - HIV AIDS length of stay outliers

AU - Dias, Sara S.

AU - Martins, Maria F.O.

N1 - WOS:000373839900125

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Hospital length of stay

KW - outliers

KW - random effects

KW - HIV/AIDS

KW - MIXTURE REGRESSION

KW - INPATIENT LENGTH

KW - PUBLIC-HEALTH

U2 - 10.1016/j.procs.2015.08.617

DO - 10.1016/j.procs.2015.08.617

M3 - Conference contribution

T3 - Procedia Computer Science

SP - 984

EP - 992

BT - CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015

A2 - CruzCunha, MM

A2 - Varajao, J

A2 - Rijo, R

A2 - Martinho, R

A2 - Schubert, P

A2 - Boonstra, A

A2 - Correia, R

A2 - Berler, R

PB - Elsevier Science B.V., Inc

T2 - Conference on ENTERprise Information Systems (CENTERIS) / International Conference on Project MANagement (ProjMAN) / International Conference on Health and Social Care Information Systems and Technologies (HCist)

Y2 - 7 October 2015 through 9 October 2015

ER -

Dias SS , Martins MFO. HIV AIDS length of stay outliers. In CruzCunha MM, Varajao J, Rijo R, Martinho R, Schubert P, Boonstra A, Correia R, Berler R, editors, CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2015. Elsevier Science B.V., Inc. 2015. p. 984-992. (Procedia Computer Science). doi: 10.1016/j.procs.2015.08.617

HIV AIDS length of stay outliers

Abstract

Publication series

Conference

UN SDGs

Keywords

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