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

Datos Bibliográficos

ID9102023
AutoresMichael A Jhung (Epidemic Intelligence Service, autor de correspondencia), Daniel S Budnitz (0000-0002-0136-2623, Epidemic Intelligence Service, autor de correspondencia), Aaron B Mendelsohn (0000-0002-0560-1177, Epidemic Intelligence Service, autor de correspondencia), Kelly N Weidenbach (Epidemic Intelligence Service, autor de correspondencia), Theresa D Nelson (United States Consumer Product Safety Commission), Daniel A Pollock (0000-0002-8446-4528, Epidemic Intelligence Service, autor de correspondencia)
Año2007
Volumen45
Número10
PáginasS96-S102
Fecha de publicación2007-10-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e318041f737
PMID17909391
OpenAlexW2049942206
IdiomaEN
Citas recibidas3
Referencias 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
Citas por año0,16
Intervalo de citas2007 - 2020 (14)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 3
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