Literature DB >> 18582520

Selection bias in evaluating of influenza vaccine effectiveness: a lesson from an observational study of elderly nursing home residents.

Wakaba Fukushima1, Yoshimitsu Hayashi, Yaichi Mizuno, Kanzo Suzuki, Tetsuo Kase, Satoko Ohfuji, Megumi Fujieda, Akiko Maeda, Yoshio Hirota.   

Abstract

Selection bias is of critical concern in the study of influenza vaccine effectiveness when using an observational study design. This bias is attributable to the inherently different characteristics between vaccinees and non-vaccinees. The differences, which are related both to vaccination and signs of clinical disease as an outcome, may lead to erroneous estimation of the effectiveness. In this report, we describe how selection bias among elderly nursing home residents may lead to a spurious interpretation of the protective effect of influenza vaccine. Our results should be a lesson in the importance of regarding selection bias when assessing influenza vaccine effectiveness.

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Year:  2008        PMID: 18582520     DOI: 10.1016/j.vaccine.2008.06.038

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  4 in total

1.  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

2.  Association between monovalent influenza A (H1N1) pdm09 vaccine and pneumonia among the elderly in the 2009-2010 season in Japan: A case-control study.

Authors:  Kyoko Kondo; Kanzo Suzuki; Masakazu Washio; Satoko Ohfuji; Wakaba Fukushima; Akiko Maeda; Yoshio Hirota
Journal:  Hum Vaccin Immunother       Date:  2015       Impact factor: 3.452

Review 3.  Vaccines for preventing influenza in the elderly.

Authors:  Vittorio Demicheli; Tom Jefferson; Carlo Di Pietrantonj; Eliana Ferroni; Sarah Thorning; Roger E Thomas; Alessandro Rivetti
Journal:  Cochrane Database Syst Rev       Date:  2018-02-01

4.  The burden of respiratory infections among older adults in long-term care: a systematic review.

Authors:  Arielle Childs; Andrew R Zullo; Nina R Joyce; Kevin W McConeghy; Robertus van Aalst; Patience Moyo; Elliott Bosco; Vincent Mor; Stefan Gravenstein
Journal:  BMC Geriatr       Date:  2019-08-05       Impact factor: 3.921

  4 in total

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