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1.
Inj Prev ; 13(6): 422-5, 2007 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-18056321

RESUMO

The accuracy of external cause of injury codes (E codes) for work-related and non-work-related injuries in Massachusetts emergency department data were evaluated. Medical records were reviewed and coded by a nosologist with expertise in E coding for a stratified random sample of 1000 probable work-related (PWR) and 250 probable non-work-related (PNWR) cases. Cause of injury E codes were present for 98% of reviewed cases and accurate for 65% of PWR cases and 57% of PNWR cases. Place of occurrence E codes were present in less than 30% of cases. Broad cause of injury categories were accurate for about 85% of cases. Non-specific categories (not elsewhere classified, not specified) accounted for 34% of broad category misclassifications. Among specified causes, machinery injuries were misclassified most often (39/60, 65%), predominantly as cut/pierce or struck by/against. E codes reliably identify the broad mechanism of injury, but inaccuracies and incompleteness suggest areas for training of hospital admissions staff, providers, and coders.


Assuntos
Serviço Hospitalar de Emergência/normas , Controle de Formulários e Registros/normas , Classificação Internacional de Doenças/normas , Sistemas Computadorizados de Registros Médicos/normas , Ferimentos e Lesões/etiologia , Humanos , Massachusetts , Ferimentos e Lesões/classificação
5.
J Trauma ; 30(4): 470-3, 1990 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-2325178

RESUMO

Current knowledge of the patterns of injury in the United States derive principally from mortality statistics that constitute less than 0.1% of all injuries reaching medical attention. There presently exists no national system for the surveillance of nonfatal injuries. To illustrate the usefulness and feasibility of conducting injury surveillance using E-coded hospital discharge data, we examined the surveillance data from the Massachusetts Statewide Childhood Injury Prevention Program. By using E-coded hospital discharge data, we increased the number of cases available for analysis by 40-fold over deaths, and we were able to describe the epidemiologic characteristics of the important causes of nonfatal childhood injuries. We therefore propose the development of a national injury surveillance system based on the Uniform Hospital Discharge Data Set coded by both the nature of the injury (N Code) and external cause (E Code).


Assuntos
Métodos Epidemiológicos , Ferimentos e Lesões/etiologia , Adolescente , Traumatismos em Atletas/epidemiologia , Traumatismos em Atletas/etiologia , Criança , Pré-Escolar , Humanos , Lactente , Massachusetts/epidemiologia , Alta do Paciente , Ferimentos e Lesões/classificação , Ferimentos e Lesões/epidemiologia
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