Literature DB >> 12803412

On the use of administrative databases to support planning activities: the case of the evaluation of neonatal case-mix in the Emilia-Romagna region using DRG and APR-DRG classification systems.

M P Fantini1, L Cisbani, L Manzoli, J Vertrees, L Lorenzoni.   

Abstract

There are several versions of the Diagnosis Related Group (DRG) classification systems that are used for case-mix analysis, utilization review, prospective payment, and planning applications. The objective of this study was to assess the adequacy of two of these DRG systems--Medicare DRG and All Patient Refined DRG--to classify neonatal patients. The first part of the paper contains a descriptive analysis that outlines the major differences between the two systems in terms of classification logic and variables used in the assignment process. The second part examines the statistical performance of each system on the basis of the administrative data collected in all public hospitals of the Emilia-Romagna region relating to neonates discharged in 1997 and 1998. The Medicare DRG are less developed in terms of classification structure and yield a poorer statistical performance in terms of reduction in variance for length of stay. This is important because, for specific areas, a more refined system can prove useful at regional level to remove systematic biases in the measurement of case-mix due to the structural characteristics of the Medicare DRGs classification system.

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Year:  2003        PMID: 12803412     DOI: 10.1093/eurpub/13.2.138

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  3 in total

1.  Nutritional parameters associated with prolonged hospital stay among ambulatory adult patients.

Authors:  Riccardo Caccialanza; Catherine Klersy; Emanuele Cereda; Barbara Cameletti; Alberto Bonoldi; Chiara Bonardi; Maurizia Marinelli; Paolo Dionigi
Journal:  CMAJ       Date:  2010-10-12       Impact factor: 8.262

2.  De-hospitalization of the pediatric day surgery by means of a freestanding surgery center: pilot study in the Lazio Region.

Authors:  Giovanni Mangia; Franco Bianco; Alma Ciaschi; Elisabetta Di Caro; Eufrasia Frattarelli; Giacinto Antonio Marrocco
Journal:  Ital J Pediatr       Date:  2012-02-01       Impact factor: 2.638

3.  How well can hospital readmission be predicted in a cohort of hospitalized children? A retrospective, multicenter study.

Authors:  Chris Feudtner; James E Levin; Rajendu Srivastava; Denise M Goodman; Anthony D Slonim; Vidya Sharma; Samir S Shah; Susmita Pati; Crayton Fargason; Matt Hall
Journal:  Pediatrics       Date:  2009-01       Impact factor: 7.124

  3 in total

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