Identifying work related injuries: comparison of methods for interrogating text fields.
BMC Med Inform Decis Mak
; 10: 19, 2010 Apr 07.
Article
em En
| MEDLINE
| ID: mdl-20374657
ABSTRACT
BACKGROUND:
Work-related injuries in Australia are estimated to cost around $57.5 billion annually, however there are currently insufficient surveillance data available to support an evidence-based public health response. Emergency departments (ED) in Australia are a potential source of information on work-related injuries though most ED's do not have an 'Activity Code' to identify work-related cases with information about the presenting problem recorded in a short free text field. This study compared methods for interrogating text fields for identifying work-related injuries presenting at emergency departments to inform approaches to surveillance of work-related injury.METHODS:
Three approaches were used to interrogate an injury description text field to classify cases as work-related keyword search, index search, and content analytic text mining. Sensitivity and specificity were examined by comparing cases flagged by each approach to cases coded with an Activity code during triage. Methods to improve the sensitivity and/or specificity of each approach were explored by adjusting the classification techniques within each broad approach.RESULTS:
The basic keyword search detected 58% of cases (Specificity 0.99), an index search detected 62% of cases (Specificity 0.87), and the content analytic text mining (using adjusted probabilities) approach detected 77% of cases (Specificity 0.95).CONCLUSIONS:
The findings of this study provide strong support for continued development of text searching methods to obtain information from routine emergency department data, to improve the capacity for comprehensive injury surveillance.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Ferimentos e Lesões
/
Armazenamento e Recuperação da Informação
/
Serviços Médicos de Emergência
/
Doenças Profissionais
Tipo de estudo:
Prognostic_studies
Limite:
Humans
País/Região como assunto:
Oceania
Idioma:
En
Revista:
BMC Med Inform Decis Mak
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2010
Tipo de documento:
Article
País de afiliação:
Austrália