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Assessing the Impact of the COVID-19 Pandemic on Relative Incidence Rates in United States Claims Data
Julie Barberio1, Kexin Zhu2, Venkatesh Harikrishnan2
1Sanofi, Cambridge, Massachusetts, USA.
Background:
Differential COVID-19-pandemic-related changes to healthcare-seeking behavior across patient groups could contribute to biased estimates of disease incidence.
Objective:
Assess the impact of the pandemic on the incidence of female breast cancer (BC), myocardial infarction (MI), and heart failure (HF) in an asthma versus general population.
Method:
Optum's de-identified Clinformatics Data Mart Database was used to estimate incidence rates (IRs) and ratios (IRRs) of BC, MI, and HF among adults with asthma versus general population referents during pre-pandemic (January 2017-March 2020), early pandemic (April-May 2020), and later pandemic (June 2020-May 2023).
Results:
During the early pandemic, IRs dropped substantially compared to pre-pandemic levels across all outcomes: BC by ~55%, MI by 31%-37%, and HF by ~55%. In the later pandemic period, BC IRs were restored to pre-pandemic levels, whereas MI and HF IRs remained lower than pre-pandemic (MI: ~10% lower; HF: 13%-25% lower). Comparing asthma versus referents, BC incidence was similar throughout all periods (pre-pandemic IRR 0.97, 95% CI 0.91-1.03; early pandemic: 1.03, 0.73-1.45; later pandemic: 1.03, 0.98-1.08). MI incidence was slightly higher in asthma versus referents pre-pandemic (IRR 1.07, 1.02-1.12), became similar during early pandemic (0.97, 0.79-1.20), and increased again in later pandemic (1.14, 1.09-1.19). HF incidence was consistently higher in asthma versus referents, with the difference magnifying over time (IRR pre-pandemic 1.33, 1.21-1.46; early pandemic 1.30, 0.77-2.19; later pandemic 1.55, 1.42-1.70).
Conclusions:
Claims-based time trend or comparative incidence studies could be biased due to the pandemic depending on the underlying population and outcome of interest.
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