Literature DB >> 18763248

Potential population-based electronic data sources for rapid pandemic influenza vaccine adverse event detection: a survey of health plans.

Kristen M Moore1, April Duddy, M Miles Braun, Richard Platt, Jeffrey S Brown.   

Abstract

PURPOSE: A vaccine against pandemic influenza may be rapidly and widely distributed, and could be used in populations with little prior exposure to influenza vaccines. Under such conditions, it will be important to gain timely information about the rates of vaccine adverse events, ideally by using electronic data from large populations. Many public and private health plans and payers have such information.
METHODS: Between May and September 2007, we conducted a decision maker interview and technical assessment with several health plans in the United States. The interview and survey evaluated technical capability, organizational capacity, and willingness to participate in a coordinated program of rapid safety research targeting pandemic and other influenza vaccines.
RESULTS: Eleven health plans (eight private, three public) participated in the decision maker interview. Most interviewees were medical directors or held similar positions within their organizations. Participating plans provided coverage and/or care for approximately 150 million members in the U.S. Nine health plans completed a technical assessment survey. Most decision makers indicated interest and willingness to participate in a coordinated rapid safety surveillance program, and all reported the necessary claims data analysis experience. Respondents noted legal, procedural, budgetary, and technical barriers to participation.
CONCLUSIONS: Senior decision makers representing private and public health plans were willing and asserted the ability of their organizations to participate in pandemic influenza vaccine safety monitoring. Developing working relationships, negotiating contracts, and obtaining necessary regulatory and legal approvals were identified as key barriers. These findings may be generalizable to other vaccines and pharmaceutical products. Copyright (c) 2008 John Wiley & Sons, Ltd.

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Year:  2008        PMID: 18763248     DOI: 10.1002/pds.1642

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  4 in total

1.  Data quality assessment for comparative effectiveness research in distributed data networks.

Authors:  Jeffrey S Brown; Michael Kahn; Sengwee Toh
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

2.  A pragmatic framework for single-site and multisite data quality assessment in electronic health record-based clinical research.

Authors:  Michael G Kahn; Marsha A Raebel; Jason M Glanz; Karen Riedlinger; John F Steiner
Journal:  Med Care       Date:  2012-07       Impact factor: 2.983

3.  Harmonization process for the identification of medical events in eight European healthcare databases: the experience from the EU-ADR project.

Authors:  Paul Avillach; Preciosa M Coloma; Rosa Gini; Martijn Schuemie; Fleur Mougin; Jean-Charles Dufour; Giampiero Mazzaglia; Carlo Giaquinto; Carla Fornari; Ron Herings; Mariam Molokhia; Lars Pedersen; Annie Fourrier-Réglat; Marius Fieschi; Miriam Sturkenboom; Johan van der Lei; Antoine Pariente; Gianluca Trifirò
Journal:  J Am Med Inform Assoc       Date:  2012-09-06       Impact factor: 4.497

4.  A secure distributed logistic regression protocol for the detection of rare adverse drug events.

Authors:  Khaled El Emam; Saeed Samet; Luk Arbuckle; Robyn Tamblyn; Craig Earle; Murat Kantarcioglu
Journal:  J Am Med Inform Assoc       Date:  2012-08-07       Impact factor: 4.497

  4 in total

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