Active Influenza Vaccine Safety Surveillance
Potential Within a Healthcare Claims Environment
Dados Bibliográficos
| ID | 9101351 |
|---|---|
| Autores | Jeffrey S Brown (0000-0002-9340-7189, Harvard University, autor correspondente), Kristen M Moore (Harvard University, autor correspondente), M Miles Braun (Center for Biologics Evaluation and Research), Najat Ziyadeh, Najat J Ziyadeh (0000-0002-7191-9140), K Arnold Chan (0000-0001-8161-1986, Harvard University), Grace M Lee (0000-0001-9571-5794, Harvard University, autor correspondente), Martin Kulldorff (0000-0002-5284-2993, Harvard University, autor correspondente), Alexander Muir Walker (0000-0001-9738-5127, Harvard Pilgrim Health Care, autor correspondente), Richard Platt (0000-0002-3248-3583, Harvard Pilgrim Health Care, autor correspondente) |
| Ano | 2009 |
| Volume | 47 |
| Fascículo | 12 |
| Páginas | 1251-1257 |
| Data de publicação | 2009-12-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Medical Care (JOURNAL) |
| Identificadores do periódico | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Editora | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e3181b58b5c |
| PMID | 19786905 |
| OpenAlex | W1974684439 |
| Idioma | EN |
| Citações recebidas | 1 |
| Referências citadas | 19 |
BACKGROUND: Rapid safety assessment of novel vaccines, especially those targeted against pandemic influenza, is a public health priority. OBJECTIVES: Assess the feasibility of using healthcare claims data to rapidly detect influenza vaccine adverse events using sequential analytic methods. RESEARCH DESIGN: Retrospective pilot study simulating prospective surveillance using 6 cumulative monthly administrative claims data extracts. The first included encounters occurring in October; each subsequent extract included an additional month of encounters. Ten adverse events were evaluated, comparing postvaccination rates during the 2006-2007 influenza season to those expected based on rates observed in the prior season. SUBJECTS: Members of a large, multistate health insurer who had a claim for influenza vaccination during the 2005-2006 or 2006-2007 influenza seasons. MEASURES: The completeness of monthly claims extracts. RESULTS: Most vaccinations and outcomes were identified early in the 2006-2007 season; about 50% of vaccinations and short latency events were identified in the second monthly data extract, which would typically become available by mid-December, and 80% of vaccinations and events were identified in the third extract. With respect to overall claims lag, approximately 90% of vaccinations and events were identified within 1 to 2 months after vaccination, regardless of vaccination month. CONCLUSIONS: This study suggests that administrative claims data might contribute to same season influenza vaccine safety surveillance in large, defined populations, especially during a threat of pandemic influenza. Based on our previous work, we believe this method could be applied to multiple health plans' data to monitor a large portion of the US population
Antibody · Business · Immunization · Influenza vaccine · Vaccination · Vaccine safety · Data-Driven Disease Surveillance · Immunology · Influenza Virus Research Studies · Medicine · Pharmacovigilance and Adverse Drug Reactions · Virology
| Obras citantes distintas | 1 |
|---|---|
| Citações por ano | 0,06 |
| Intervalo de citações | 2010 - 2010 (1) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 1 |