Examining inequality in healthcare utilization during pandemic disruptions
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Importance
Health crisis like recent COVID-19 pandemic has continuously disrupted healthcare utilization, particularly among non-COVID-19 patients. It remains unclear whether these disruptions were experienced equally across populations or if they disproportionately impacted specific demographic groups.
Objective
To assess inequality in healthcare utilization during the COVID-19 pandemic, stratified by demographic characteristics (age, race and ethnicity, income, and education) and medical specialties (emergency medicine, anesthesiology, and cardiology) across U.S. states.
Design, Setting, and Participants
This retrospective observational study analyzed electronic health records (EHRs) from millions of anonymized patients across U.S. states between 2019 and 2022. The Gini coefficient was used to quantify disparities in healthcare utilization. A regression discontinuity design was employed to assess the effect of declining telehealth usage on inequality.
Main Outcomes and Measures
Temporal inequality in healthcare utilization by demographic group and specialty, measured monthly using the Gini coefficient.
Results
Compared with the pre-pandemic period (2019), there was an approximate 45% decline in patient visits during the pandemic (2020–2022). Inequality in healthcare utilization increased consistently across demographic groups, with Gini coefficients rising by 14.5% (age), 2.3% (race and ethnicity), 7.0% (income), and 4.8% (education). States that maintained high levels of telehealth service usage experienced smaller increases in inequality.
Conclusions and Relevance
The pandemics significantly exacerbated disparities in healthcare utilization among non-COVID-19 patients. These findings underscore the importance of sustaining adaptive healthcare delivery strategies, such as telehealth, to mitigate systemic inequities during long-term public health emergencies.
