Frequency and impact of confounding by indication and healthy vaccinee bias in observational studies assessing influenza vaccine effectiveness: a systematic review

Background Evidence on influenza vaccine effectiveness (VE) is commonly derived from observational studies. However, these studies are prone to confounding by indication and healthy vaccinee bias. We aimed to systematically investigate these two forms of confounding/bias. Methods Systematic review of observational studies reporting influenza VE and indicators for bias and confounding. We assessed risk of confounding by indication and healthy vaccinee bias for each study and calculated ratios of odds ratios (crude/adjusted) to quantify the effect of confounder adjustment. VE-estimates during and outside influenza seasons were compared to assess residual confounding by healthy vaccinee effects. Results We identified 23 studies reporting on 11 outcomes. Of these, 19 (83 %) showed high risk of bias: Fourteen due to confounding by indication, two for healthy vaccinee bias, and three studies showed both forms of confounding/bias. Adjustment for confounders increased VE on average by 12 % (95 % CI: 7–17 %; all-cause mortality), 9 % (95 % CI: 4–14 %; all-cause hospitalization) and 7 % (95 % CI: 4–10 %; influenza-like illness). Despite adjustment, nine studies showed residual confounding as indicated by significant off-season VE-estimates. These were observed for five outcomes, but more frequently for all-cause mortality as compared to other outcomes (p = 0.03) and in studies which indicated healthy vaccinee bias at baseline (p = 0.01). Conclusions Both confounding by indication and healthy vaccinee bias are likely to operate simultaneously in observational studies on influenza VE. Although adjustment can correct for confounding by indication to some extent, the resulting estimates are still prone to healthy vaccinee bias, at least as long as unspecific outcomes like all-cause mortality are used. Therefore, cohort studies using administrative data bases with unspecific outcomes should no longer be used to measure the effects of influenza vaccination. Electronic supplementary material The online version of this article (doi:10.1186/s12879-015-1154-y) contains supplementary material, which is available to authorized users.

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PID https://www.doi.org/10.1186/s12879-015-1154-y
PID pmid:26474974
PID pmc:PMC4609091
URL https://dx.doi.org/10.1186/s12879-015-1154-y
URL http://europepmc.org/articles/PMC4609091
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609091/
URL https://edoc.rki.de/oa/articles/re3tB7f4vRq6U/PDF/28eQJkO6RNNjI.pdf
URL https://link.springer.com/article/10.1186/s12879-015-1154-y
URL https://bmcinfectdis.biomedcentral.com/track/pdf/10.1186/s12879-015-1154-y
URL https://edoc.rki.de/handle/176904/2153
URL https://paperity.org/p/74392971/frequency-and-impact-of-confounding-by-indication-and-healthy-vaccinee-bias-in
URL http://dx.doi.org/10.1186/s12879-015-1154-y
URL http://link.springer.com/content/pdf/10.1186/s12879-015-1154-y.pdf
URL https://academic.microsoft.com/#/detail/2165550349
URL http://link.springer.com/article/10.1186/s12879-015-1154-y/fulltext.html
URL https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-015-1154-y
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Access Right Open Access
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Author Remschmidt, Cornelius
Author Wichmann, Ole
Author Harder, Thomas
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Collected From Europe PubMed Central; PubMed Central; UnpayWall; Datacite; Crossref; Microsoft Academic Graph; CORE (RIOXX-UK Aggregator)
Hosted By Europe PubMed Central; SpringerOpen; BMC Infectious Diseases
Journal BMC Infectious Diseases, 15, null
Publication Date 2015-10-01
Publisher Springer Nature
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::9ab849256c4a9cc4d2a6bd3c02c7264c
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Last Updated 25 December 2020, 10:36 (CET)
Created 25 December 2020, 10:36 (CET)