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COVID-19 vaccination effectiveness rates by week and sources of bias: a retrospective cohort study.
Ostropolets, Anna; Hripcsak, George.
  • Ostropolets A; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA.
  • Hripcsak G; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA gh13@cumc.columbia.edu.
BMJ Open ; 12(8): e061126, 2022 08 23.
Article in English | MEDLINE | ID: covidwho-2001843
ABSTRACT

OBJECTIVE:

To examine COVID-19 vaccine effectiveness over six 7-day intervals after the first dose and assess underlying bias in observational data. DESIGN AND

SETTING:

Retrospective cohort study using Columbia University Irving Medical Center data linked to state and city immunisation registries. OUTCOMES AND

MEASURES:

We used large-scale propensity score matching with up to 54 987 covariates, fitted Cox proportional hazards models and constructed Kaplan-Meier plots for two main outcomes (COVID-19 infection and COVID-19-associated hospitalisation). We conducted manual chart review of cases in week 1 in both groups along with a set of secondary analyses for other index date, outcome and population choices.

RESULTS:

The study included 179 666 patients. We observed increasing effectiveness after the first dose of mRNA vaccines with week 6 effectiveness approximating 84% (95% CI 72% to 91%) for COVID-19 infection and 86% (95% CI 69% to 95%) for COVID-19-associated hospitalisation. When analysing unexpectedly high effectiveness in week 1, chart review revealed that vaccinated patients are less likely to seek care after vaccination and are more likely to be diagnosed with COVID-19 during the encounters for other conditions. Secondary analyses highlighted potential outcome misclassification for International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis, the influence of excluding patients with prior COVID-19 infection and anchoring in the unexposed group. Long-term vaccine effectiveness in fully vaccinated patients matched the results of the randomised trials.

CONCLUSIONS:

For vaccine effectiveness studies, observational data need to be scrutinised to ensure compared groups exhibit similar health-seeking behaviour and are equally likely to be captured in the data. While we found that studies may be capable of accurately estimating long-term effectiveness despite bias in early weeks, the early week results should be reported in every study so that we may gain a better understanding of the biases. Given the difference in temporal trends of vaccine exposure and patients' baseline characteristics, indirect comparison of vaccines may produce biased results.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Systematic review/Meta Analysis Topics: Vaccines Limits: Humans Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2022-061126

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Systematic review/Meta Analysis Topics: Vaccines Limits: Humans Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2022-061126