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Evaluation and Overview of the National Electronic Injury Surveillance System-Cooperative Adverse Drug Event Surveillance Project (Neiss-Cades)

Dados Bibliográficos

ID9102023
AutoresMichael A Jhung (Epidemic Intelligence Service, autor correspondente), Daniel S Budnitz (0000-0002-0136-2623, Epidemic Intelligence Service, autor correspondente), Aaron B Mendelsohn (0000-0002-0560-1177, Epidemic Intelligence Service, autor correspondente), Kelly N Weidenbach (Epidemic Intelligence Service, autor correspondente), Theresa D Nelson (United States Consumer Product Safety Commission), Daniel A Pollock (0000-0002-8446-4528, Epidemic Intelligence Service, autor correspondente)
Ano2007
Volume45
Fascículo10
PáginasS96-S102
Data de publicação2007-10-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e318041f737
PMID17909391
OpenAlexW2049942206
IdiomaEN
Citações recebidas3
Referências citadas15

BACKGROUND: Adverse drug events (ADEs) are an important cause of patient injury. Although most medications are prescribed and used in the outpatient setting, prevention efforts focus on the inpatient setting, partly because of limited data on outpatient events. We describe and evaluate a new system for surveillance of outpatient ADEs treated in hospital emergency departments (EDs). METHODS: We used guidelines for evaluating public health surveillance systems, developed by the Centers for Disease Control and Prevention, to assess the performance of the National Electronic Injury Surveillance System-Cooperative Adverse Drug Event Surveillance project (NEISS-CADES) from January 1, 2004 through December 31, 2004. RESULTS: NEISS-CADES is a nationally representative surveillance system that identifies ADEs using ED clinical records. Of 10,383 reports in 2004, 100% listed patient age, sex, and disposition; 98% listed the implicated drugs. A 6-hospital evaluation of data quality, completeness, and other system attributes showed that NEISS-CADES data accurately reflected clinical records with respect to patient age and sex (100%), primary diagnosis (93%), implicated drugs (93%), primary treatments (80%), and diagnostic testing (61%). Sensitivity of case identification was estimated to be at least 0.33; estimated positive predictive value was 0.92. Data collection does not require additional work by clinical staff and has been well accepted by participating institutions. CONCLUSIONS: NEISS-CADES provides detailed and timely information on outpatient ADEs treated in EDs and identifies specific drugs and circumstances associated with these injuries. Findings from NEISS-CADES can help design and prioritize patient safety interventions for outpatient ADEs

Adverse effect · Drug · Event (particle physics) · Injury prevention · Injury surveillance · Medical emergency · Poison control · Electronic Health Records Systems · Emergency Medicine · Medicine · Patient Safety and Medication Errors · Pharmacology · Pharmacovigilance and Adverse Drug Reactions

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Obras citantes distintas3
Citações por ano0,16
Intervalo de citações2007 - 2020 (14)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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