Journal Article Assessing Patterns in Cancer Screening Use by Race and Ethnicity during the Coronavirus Pandemic Using Electronic Health Record Data
Fredric Blavin, Laura Barrie Smith, Lisa Dubay, Luis E. Basurto
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Background

Efforts to prevent the spread of the coronavirus led to dramatic reductions in nonemergency medical care services during the first several months of the COVID-19 pandemic. Delayed or missed screenings can lead to more advanced stage cancer diagnoses with potentially worse health outcomes and exacerbate preexisting racial and ethnic disparities. The objective of this analysis was to examine how the pandemic affected rates of breast and colorectal cancer screenings by race and ethnicity.

Methods

We analyzed panels of providers that placed orders in 2019–2020 for mammogram and colonoscopy cancer screenings using electronic health record (EHR) data. We used a difference-in-differences design to examine the extent to which changes in provider-level mammogram and colonoscopy orders declined over the first year of the pandemic and whether these changes differed across race and ethnicity groups.

Results

We found considerable declines in both types of screenings from March through May 2020, relative to the same months in 2019, for all racial and ethnic groups. Some rebound in screenings occurred in June through December 2020, particularly among White and Black patients; however, use among other groups was still lower than expected.

Conclusions

This research suggests that many patients experienced missed or delayed screenings during the first few months of the pandemic, which could lead to detrimental health outcomes. Our findings also underscore the importance of having high-quality data on race and ethnicity to document and understand racial and ethnic disparities in access to care.

 

This article appears in Cancer Medicine Vol. 12, No. 15 (2023), pp. 16548–57, https://doi.org/10.1002/cam4.6246

Research and Evidence Health Policy Technology and Data Equity and Community Impact
Expertise Health Care Coverage, Costs, and Access
Tags COVID-19 Health outcomes Health equity Health care delivery and payment Data analysis Quantitative data analysis