Literature DB >> 26564375

[Economic impact of nosocomial bacteraemia. A comparison of three calculation methods].

Marta Riu1, Pietro Chiarello2, Roser Terradas3, Maria Sala4, Xavier Castells4, Hernando Knobel5, Francesc Cots6.   

Abstract

INTRODUCTION: The excess cost associated with nosocomial bacteraemia (NB) is used as a measurement of the impact of these infections. However, some authors have suggested that traditional methods overestimate the incremental cost due to the presence of various types of bias. The aim of this study was to compare three assessment methods of NB incremental cost to correct biases in previous analyses.
METHODS: Patients who experienced an episode of NB between 2005 and 2007 were compared with patients grouped within the same All Patient Refined-Diagnosis-Related Group (APR-DRG) without NB. The causative organisms were grouped according to the Gram stain, and whether bacteraemia was caused by a single or multiple microorganisms, or by a fungus. Three assessment methods are compared: stratification by disease; econometric multivariate adjustment using a generalised linear model (GLM); and propensity score matching (PSM) was performed to control for biases in the econometric model.
RESULTS: The analysis included 640 admissions with NB and 28,459 without NB. The observed mean cost was €24,515 for admissions with NB and €4,851.6 for controls (without NB). Mean incremental cost was estimated at €14,735 in stratified analysis. Gram positive microorganism had the lowest mean incremental cost, €10,051. In the GLM, mean incremental cost was estimated as €20,922, and adjusting with PSM, the mean incremental cost was €11,916. The three estimates showed important differences between groups of microorganisms.
CONCLUSIONS: Using enhanced methodologies improves the adjustment in this type of study and increases the value of the results. Copyright Â
© 2015 Elsevier España, S.L.U. and Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved.

Entities:  

Keywords:  Ajuste de costes; Bacteriemia nosocomial; Cost adjustment; Costes hospitalarios; Economic evaluation; Economic impact; Evaluación económica; Hospital costs; Impacto económico; Nosocomial bacteraemia

Mesh:

Year:  2015        PMID: 26564375     DOI: 10.1016/j.eimc.2015.09.007

Source DB:  PubMed          Journal:  Enferm Infecc Microbiol Clin        ISSN: 0213-005X            Impact factor:   1.731


  4 in total

1.  Cost Attributable to Nosocomial Bacteremia. Analysis According to Microorganism and Antimicrobial Sensitivity in a University Hospital in Barcelona.

Authors:  Marta Riu; Pietro Chiarello; Roser Terradas; Maria Sala; Enric Garcia-Alzorriz; Xavier Castells; Santiago Grau; Francesc Cots
Journal:  PLoS One       Date:  2016-04-07       Impact factor: 3.240

2.  Incremental cost of nosocomial bacteremia according to the focus of infection and antibiotic sensitivity of the causative microorganism in a university hospital.

Authors:  Marta Riu; Pietro Chiarello; Roser Terradas; Maria Sala; Enric Garcia-Alzorriz; Xavier Castells; Santiago Grau; Francesc Cots
Journal:  Medicine (Baltimore)       Date:  2017-04       Impact factor: 1.889

3.  Etiology of bloodstream infections at a population level during 2013-2017 in the Autonomous Community of Valencia, Spain.

Authors:  L Ruiz-Azcona; M Santibañez; A Gimeno; F J Roig; H Vanaclocha; M P Ventero; V Boix; J Sánchez-Payá; J Portilla-Sogorb; E Merino; J C Rodríguez
Journal:  Rev Esp Quimioter       Date:  2020-04-29       Impact factor: 1.553

4.  Prevalence of Multi-Resistant Microorganisms and Antibiotic Stewardship among Hospitalized Patients Living in Residential Care Homes in Spain: A Cross-Sectional Study.

Authors:  Mario Rivera-Izquierdo; Alberto Benavente-Fernández; Jairo López-Gómez; Antonio Jesús Láinez-Ramos-Bossini; Marta Rodríguez-Camacho; María Del Carmen Valero-Ubierna; Luis Miguel Martín-delosReyes; Eladio Jiménez-Mejías; Elena Moreno-Roldán; Pablo Lardelli-Claret; Virginia Martínez-Ruiz
Journal:  Antibiotics (Basel)       Date:  2020-06-13
  4 in total

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