Literature DB >> 19124221

New strategies are needed to improve the accuracy of influenza vaccine effectiveness estimates among seniors.

Jennifer Clark Nelson1, Michael L Jackson, Noel S Weiss, Lisa A Jackson.   

Abstract

OBJECTIVE: The magnitude of the benefit of influenza vaccine among elderly individuals has been recently debated. Existing vaccine effectiveness estimates derive primarily from observational studies, which may be biased. In this paper, we provide a methodological examination of the potential sources of bias in observational studies of influenza vaccine effectiveness in seniors and propose design and analysis strategies to reduce bias in future studies. STUDY DESIGN AND
SETTING: We draw parallels to bias documented in observational studies of therapies in other areas of medical research including pharmacoepidemiology, discuss reasons why existing adjustment methods in influenza studies may not adequately control for the bias, and evaluate statistical approaches that may yield more accurate estimation of influenza vaccine effectiveness.
RESULTS: There is strong evidence for the presence of bias in existing observational estimates of influenza vaccine effectiveness in the elderly and the failure of current adjustment methods to reduce bias.
CONCLUSION: Promising approaches for reducing bias include obtaining more accurate information on confounders, such as functional status, avoiding all-cause death in favor of outcomes, such as pneumonia or influenza-related pneumonia, and evaluating the extent to which bias is reduced by these and other methods using the 'control' period before influenza season.

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Year:  2009        PMID: 19124221     DOI: 10.1016/j.jclinepi.2008.06.014

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  38 in total

1.  Disparities in influenza vaccine coverage in the United States, 2008.

Authors:  Shauna T Linn; Jack M Guralnik; Kushang V Patel
Journal:  J Am Geriatr Soc       Date:  2010-06-01       Impact factor: 5.562

Review 2.  The unmet need in the elderly: how immunosenescence, CMV infection, co-morbidities and frailty are a challenge for the development of more effective influenza vaccines.

Authors:  Janet E McElhaney; Xin Zhou; H Keipp Talbot; Ernst Soethout; R Chris Bleackley; David J Granville; Graham Pawelec
Journal:  Vaccine       Date:  2012-01-27       Impact factor: 3.641

3.  Controlling Time-Dependent Confounding by Health Status and Frailty: Restriction Versus Statistical Adjustment.

Authors:  Leah J McGrath; Alan R Ellis; M Alan Brookhart
Journal:  Am J Epidemiol       Date:  2015-04-12       Impact factor: 4.897

4.  Restriction of Pharmacoepidemiologic Cohorts to Initiators of Medications in Unrelated Preventive Drug Classes to Reduce Confounding by Frailty in Older Adults.

Authors:  Henry T Zhang; Leah J McGrath; Alan R Ellis; Richard Wyss; Jennifer L Lund; Til Stürmer
Journal:  Am J Epidemiol       Date:  2019-07-01       Impact factor: 4.897

Review 5.  Influenza vaccination: a summary of Cochrane Reviews.

Authors:  S F Østerhus
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-09-04       Impact factor: 3.267

6.  Challenges in estimating influenza vaccine effectiveness.

Authors:  Kylie E C Ainslie; Michael Haber; Walt A Orenstein
Journal:  Expert Rev Vaccines       Date:  2019-05-31       Impact factor: 5.217

7.  Report of the WHO technical consultation on the effect of maternal influenza and influenza vaccination on the developing fetus: Montreal, Canada, September 30-October 1, 2015.

Authors:  Deshayne B Fell; Zulfiqar A Bhutta; Jennifer A Hutcheon; Ruth A Karron; Marian Knight; Michael S Kramer; Arnold S Monto; Geeta K Swamy; Justin R Ortiz; David A Savitz
Journal:  Vaccine       Date:  2017-03-24       Impact factor: 3.641

Review 8.  Influenza vaccine responses in older adults.

Authors:  Janet E McElhaney
Journal:  Ageing Res Rev       Date:  2010-11-03       Impact factor: 10.895

9.  Effect of human papillomavirus (HPV) vaccination on clinical indicators of sexual behaviour among adolescent girls: the Ontario Grade 8 HPV Vaccine Cohort Study.

Authors:  Leah M Smith; Jay S Kaufman; Erin C Strumpf; Linda E Lévesque
Journal:  CMAJ       Date:  2014-12-08       Impact factor: 8.262

10.  Influenza vaccination and mortality: differentiating vaccine effects from bias.

Authors:  Bruce Fireman; Janelle Lee; Ned Lewis; Oliver Bembom; Mark van der Laan; Roger Baxter
Journal:  Am J Epidemiol       Date:  2009-07-22       Impact factor: 4.897

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