Active Influenza Vaccine Safety Surveillance
Potential Within a Healthcare Claims Environment
Bibliographic Data
| ID | 9101351 |
|---|---|
| Authors | Jeffrey S Brown (0000-0002-9340-7189, Harvard University, corresponding author), Kristen M Moore (Harvard University, corresponding author), 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, corresponding author), Martin Kulldorff (0000-0002-5284-2993, Harvard University, corresponding author), Alexander Muir Walker (0000-0001-9738-5127, Harvard Pilgrim Health Care, corresponding author), Richard Platt (0000-0002-3248-3583, Harvard Pilgrim Health Care, corresponding author) |
| Year | 2009 |
| Volume | 47 |
| Issue | 12 |
| Pages | 1251-1257 |
| Publication date | 2009-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e3181b58b5c |
| PMID | 19786905 |
| OpenAlex | W1974684439 |
| Language | EN |
| Citations received | 1 |
| References cited | 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
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,06 |
| Citation span | 2010 - 2010 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |