Literature DB >> 29221606

[Medical information system (PMSI) does not adequately identify severe trauma].

A Perozziello1, T Gauss2, A Diop3, M Frank-Soltysiak4, P Rufat5, M Raux6, S Hamada7, B Riou8.   

Abstract

BACKGROUND: Resource allocation to hospitals is highly dependent on appropriate case coding. For trauma victims, the major diagnosis-coding category (DCC) is multiple trauma (DCC26), which triggers higher funding. We hypothesized that DCC26 has limited capacity for appropriate identification of severe trauma victims.
METHODS: We studied Injury Severity Score (ISS), Trauma Related Injury Severity Score (TRISS) and in-hospital mortality using data recorded in three level 1 trauma centers over a 2-year period. Patients were divided into two groups: DCC26 and non-DCC26. For non-DCC26 patients, two subgroups were identified: patients with severe head trauma and patients with spinal trauma. Clinical endpoints were mortality, ISS>15 and TRISS, IGS II. Use of hospital resources was estimated using funding and expenditures associated with each patient.
RESULTS: During the study period, 2570 trauma victims were included in the analysis. These patients were 39±18 years old, with median ISS=14, and observed mortality=10 %. Group DCC26 had 811 (31 %) patients, group non-DCC26 1855 (69 %) patients. DCC26 coding identified a more severely injured group of patients. However, in the group non-DCC26, there was a high proportion of severe trauma (ISS>15: 35 %; TRISS<0.95: 9 %).
CONCLUSION: DCC26 is not an appropriate coding for severe trauma patients. For these patients, expenditures will include intensive care and rare and costly resources. We propose to take into account the TRISS score to improve trauma coding.
Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Costs; Coûts; Hospital mortality; Incomes; Mortalité hospitalière; Multiple traumas; PMSI; Polytraumatisme; Recettes; Scores de gravité; Severity Scores

Mesh:

Year:  2017        PMID: 29221606     DOI: 10.1016/j.respe.2017.10.002

Source DB:  PubMed          Journal:  Rev Epidemiol Sante Publique        ISSN: 0398-7620            Impact factor:   1.019


  2 in total

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Authors:  Thibaut Pressat-Laffouilhère; Pierre Balayé; Badisse Dahamna; Romain Lelong; Kévin Billey; Stéfan J Darmoni; Julien Grosjean
Journal:  BMC Med Inform Decis Mak       Date:  2022-02-08       Impact factor: 3.298

2.  Psychiatric Adverse Events Associated With Infliximab: A Cohort Study From the French Nationwide Discharge Abstract Database.

Authors:  Eve-Marie Thillard; Sophie Gautier; Evgeniya Babykina; Louise Carton; Ali Amad; Guillaume Bouzillé; Jean-Baptiste Beuscart; Grégoire Ficheur; Emmanuel Chazard
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  2 in total

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