Quantifying and Adjusting for Confounding From Health-Seeking Behavior and Health Care Access in Observational Research

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Abstract

Background

Health-seeking behavior and health care access (HSB/HCA) are recognized confounders in many observational studies but are not directly measurable in electronic health records. We used proxy markers of HSB/HCA to quantify and adjust for confounding in observational studies of influenza and COVID-19 vaccine effectiveness (VE).

Methods

This cohort study used primary care data prelinked to secondary care and death data in England. We included individuals aged ≥66 years on 1 September 2019 and assessed influenza VE in the 2019–2020 season and early COVID-19 VE (December 2020–March 2021). VE was estimated with sequential adjustment for demographics, comorbidities, and 14 markers of HSB/HCA. Influenza vaccination in the 2019–2020 season was also considered a negative control exposure against COVID-19 before COVID-19 vaccine rollout.

Results

We included 1 991 284, 1 796 667, and 1 946 943 individuals in the influenza, COVID-19, and negative control exposure populations, respectively. Markers of HSB/HCA were positively correlated with influenza and COVID-19 vaccine uptake. For influenza, adjusting for HSB/HCA markers in addition to demographics and comorbidities increased VE against influenza-like illness from −1.5% (95% CI, −3.2% to .1%) to 7.1% (95% CI, 5.4%–8.7%) with a less apparent trend for more severe outcomes. For COVID-19, adjusting for HSB/HCA markers did not change VE estimates against infection or severe disease (eg, 2 doses of BNT162b2 against infection: 82.8% [95% CI, 78.4%–86.3%] to 83.1% [95% CI, 78.7%–86.5%]). Adjusting for HSB/HCA markers removed bias in the negative control exposure analysis (−7.5% [95% CI, −10.6% to −4.5%] vs −2.1% [95% CI, −6.0% to 1.7%] before vs after adjusting for HSB/HCA markers).

Conclusions

Markers of HSB/HCA can be used to quantify and account for confounding in observational vaccine studies.

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