Health care utilization before and after COVID-19 diagnosis: a multidisease matched-cohort study by sociodemographic factors.

Publication date: Jun 24, 2026

The COVID-19 pandemic substantially disrupted healthcare utilization across clinical conditions, populations, and care settings. Consistent and equitable access to care is essential to mitigate the long-term consequences of COVID-19, particularly among individuals with pre-existing conditions. While prior studies have documented broad patterns in healthcare use during the pandemic, limited evidence exists on how utilization shifts before and after a COVID-19 diagnosis, particularly across specific diseases, encounter types, and sociodemographic subgroups. We conducted a matched retrospective cohort study using electronic health record data from MedStar Health between March 25, 2019, and June 30, 2021. A difference-in-differences design was used to compare changes in health care utilization between adult patients who tested positive for COVID-19 (exposure group) and those who tested negative (comparison group), across the 6-month periods before and after testing. Outcomes included encounters across outpatient, inpatient, emergency department, and virtual settings, overall and stratified by pre-existing conditions (heart failure, diabetes mellitus, kidney disease, malignant neoplasm, hypothyroidism, hyperthyroidism, anxiety disorder, depressive disorder, and drug poisoning/overdose), while accounting for demographic characteristics (sex, age, race/ethnicity, insurance type, state of residence) and census tract-level socioeconomic indicators (median household income, educational attainment, and poverty/food access). To estimate the absolute burden of health care utilization associated with COVID-19, we converted DiD rate ratios into excess encounters per 1,000 individuals in the exposed group. COVID-19 exposure was associated with a 4% overall reduction in health care utilization during the post-COVID period (RR = 0. 96, p 

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Concepts Keywords
Hyperthyroidism Chronic conditions
June COVID-19
Outpatient Demographics
Socioeconomic Difference-in-differences (DiD)
Excess visits
Healthcare utilization
Mental health
Pandemic
Socioeconomic factors
Telehealth

Semantics

Type Source Name
disease MESH COVID-19
disease MESH included
disease MESH emergency
disease MESH heart failure
disease MESH diabetes mellitus
disease MESH kidney disease
disease MESH malignant neoplasm
disease MESH hypothyroidism
disease MESH hyperthyroidism
disease MESH poisoning
pathway REACTOME Reproduction
disease MESH Oak
disease MESH Park
disease MESH anxiety disorder
disease MESH Chronic conditions

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