Literature DB >> 21991234

Monitoring caustic injuries from emergency department databases using automatic keyword recognition software.

P Vignally1, G Fondi, F Taggi, A Pitidis.   

Abstract

In Italy the European Union Injury Database reports the involvement of chemical products in 0.9% of home and leisure accidents. The Emergency Department registry on domestic accidents in Italy and the Poison Control Centres record that 90% of cases of exposure to toxic substances occur in the home. It is not rare for the effects of chemical agents to be observed in hospitals, with a high potential risk of damage - the rate of this cause of hospital admission is double the domestic injury average. The aim of this study was to monitor the effects of injuries caused by caustic agents in Italy using automatic free-text recognition in Emergency Department medical databases. We created a Stata software program to automatically identify caustic or corrosive injury cases using an agent-specific list of keywords. We focused attention on the procedure's sensitivity and specificity. Ten hospitals in six regions of Italy participated in the study. The program identified 112 cases of injury by caustic or corrosive agents. Checking the cases by quality controls (based on manual reading of ED reports), we assessed 99 cases as true positive, i.e. 88.4% of the patients were automatically recognized by the software as being affected by caustic substances (99% CI: 80.6%- 96.2%), that is to say 0.59% (99% CI: 0.45%-0.76%) of the whole sample of home injuries, a value almost three times as high as that expected (p < 0.0001) from European codified information. False positives were 11.6% of the recognized cases (99% CI: 5.1%- 21.5%). Our automatic procedure for caustic agent identification proved to have excellent product recognition capacity with an acceptable level of excess sensitivity. Contrary to our a priori hypothesis, the automatic recognition system provided a level of identification of agents possessing caustic effects that was significantly much greater than was predictable on the basis of the values from current codifications reported in the European Database.

Entities:  

Keywords:  AUTOMATIC RECOGNITION SOFTWARE; CAUSTIC BURNS; CAUSTIC INJURY; EMERGENCY DEPARTMENT SURVEILLANCE

Year:  2011        PMID: 21991234      PMCID: PMC3187942     

Source DB:  PubMed          Journal:  Ann Burns Fire Disasters        ISSN: 1592-9558


  2 in total

1.  Methodological issues in comparing injury incidence across countries.

Authors:  R A Lyons; S Polinder; C F Larsen; S Mulder; W J Meerding; H Toet; E Van Beeck
Journal:  Int J Inj Contr Saf Promot       Date:  2006-06

2.  Surveillance of toxic exposures: the pilot experience of the Poison Control Centers of Milan, Pavia and Bergamo in 2006.

Authors:  Laura Settimi; Franca Davanzo; Pietro Carbone; Fabrizio Sesana; Carlo Locatelli; Maria Luisa Farina; Pietro Maiozzi; Paolo Roazzi; Fabio Maccari; Luigi Macchi; Antonio Fanuzzi
Journal:  Ann Ist Super Sanita       Date:  2007       Impact factor: 1.663

  2 in total
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1.  Qualitative analysis of emergency department reports applied to a pilot project for the prevention of pediatric burns.

Authors:  E Longo; M Masellis; G Fondi; C Cedri; C Debbia; A Pitidis
Journal:  Ann Burns Fire Disasters       Date:  2015-12-31
  1 in total

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