Literature DB >> 14670250

[Analysis and classification of hospital emergencies through Ambulatory Patient Groups].

A Conesa1, L Vilardell, R Muñoz, J M Casanellas, P Torre, G Gelabert, A Trilla, M A Asenjo.   

Abstract

AIM: To assess the feasibility and results of application of Ambulatory Patient Groups (APG) patient's classification system to the case-mix of patients seen at the Emergency Departments (ED) of 6 Barcelona metropolitan area hospitals.
METHODS: Development of a minimum discharge data set specific for the Emergency Departments (CMBDAU). Gathering of relevant variables from a random sample of patients seen at the ED using the ED discharge reports. Use of the APG classification system to those episodes.
RESULTS: A total of 11.188 episodes were codified and grouped with the APG system. Fifteen diagnostics identified 25% of all episodes. Nearly 50% of all procedures performed at the ED were common and simple procedures. Fifteen APG's grouped 50% of all cases seen at the ED.
CONCLUSIONS: The ED Uniform Discharge Data Set (CMBDAU) developed is a valid instrument for describing the case-mix seen at the ED, and its grouping by means of the APG system provides consistent and meaningful results. The widespread use of systems like APG in the ED requires a former validation of relative weights assigned in the US system. The availability of human and technical resources must also be assessed, in order to guarantee the quality and sustainability of such a system.

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Year:  2003        PMID: 14670250     DOI: 10.1016/s0213-9111(03)71790-7

Source DB:  PubMed          Journal:  Gac Sanit        ISSN: 0213-9111            Impact factor:   2.139


  2 in total

1.  Dynamic modelling of infectious diseases: an application to the economic evaluation of influenza vaccination.

Authors:  Roberto Pradas-Velasco; Fernando Antoñanzas-Villar; María Puy Martínez-Zárate
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

2.  The relationship between effectiveness and costs measured by a risk-adjusted case-mix system: multicentre study of Catalonian population data bases.

Authors:  Antoni Sicras-Mainar; Ruth Navarro-Artieda; Milagrosa Blanca-Tamayo; Soledad Velasco-Velasco; Esperanza Escribano-Herranz; Josep Ramon Llopart-López; Concepción Violan-Fors; Josep Maria Vilaseca-Llobet; Encarna Sánchez-Fontcuberta; Jaume Benavent-Areu; Ferran Flor-Serra; Alba Aguado-Jodar; Daniel Rodríguez-López; Alejandra Prados-Torres; Jose Estelrich-Bennasar
Journal:  BMC Public Health       Date:  2009-06-25       Impact factor: 3.295

  2 in total

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