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. 2021 Mar 1;4(3):e214149.
doi: 10.1001/jamanetworkopen.2021.4149.

Assessment of Disparities Associated With a Crisis Standards of Care Resource Allocation Algorithm for Patients in 2 US Hospitals During the COVID-19 Pandemic

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Assessment of Disparities Associated With a Crisis Standards of Care Resource Allocation Algorithm for Patients in 2 US Hospitals During the COVID-19 Pandemic

Hayley B Gershengorn et al. JAMA Netw Open. .

Abstract

Importance: Significant concern has been raised that crisis standards of care policies aimed at guiding resource allocation may be biased against people based on race/ethnicity.

Objective: To evaluate whether unanticipated disparities by race or ethnicity arise from a single institution's resource allocation policy.

Design, setting, and participants: This cohort study included adults (aged ≥18 years) who were cared for on a coronavirus disease 2019 (COVID-19) ward or in a monitored unit requiring invasive or noninvasive ventilation or high-flow nasal cannula between May 26 and July 14, 2020, at 2 academic hospitals in Miami, Florida.

Exposures: Race (ie, White, Black, Asian, multiracial) and ethnicity (ie, non-Hispanic, Hispanic).

Main outcomes and measures: The primary outcome was based on a resource allocation priority score (range, 1-8, with 1 indicating highest and 8 indicating lowest priority) that was assigned daily based on both estimated short-term (using Sequential Organ Failure Assessment score) and longer-term (using comorbidities) mortality. There were 2 coprimary outcomes: maximum and minimum score for each patient over all eligible patient-days. Standard summary statistics were used to describe the cohort, and multivariable Poisson regression was used to identify associations of race and ethnicity with each outcome.

Results: The cohort consisted of 5613 patient-days of data from 1127 patients (median [interquartile range {IQR}] age, 62.7 [51.7-73.7]; 607 [53.9%] men). Of these, 711 (63.1%) were White patients, 323 (28.7%) were Black patients, 8 (0.7%) were Asian patients, and 31 (2.8%) were multiracial patients; 480 (42.6%) were non-Hispanic patients, and 611 (54.2%) were Hispanic patients. The median (IQR) maximum priority score for the cohort was 3 (1-4); the median (IQR) minimum score was 2 (1-3). After adjustment, there was no association of race with maximum priority score using White patients as the reference group (Black patients: incidence rate ratio [IRR], 1.00; 95% CI, 0.89-1.12; Asian patients: IRR, 0.95; 95% CI. 0.62-1.45; multiracial patients: IRR, 0.93; 95% CI, 0.72-1.19) or of ethnicity using non-Hispanic patients as the reference group (Hispanic patients: IRR, 0.98; 95% CI, 0.88-1.10); similarly, no association was found with minimum score for race, again with White patients as the reference group (Black patients: IRR, 1.01; 95% CI, 0.90-1.14; Asian patients: IRR, 0.96; 95% CI, 0.62-1.49; multiracial patients: IRR, 0.81; 95% CI, 0.61-1.07) or ethnicity, again with non-Hispanic patients as the reference group (Hispanic patients: IRR, 1.00; 95% CI, 0.89-1.13).

Conclusions and relevance: In this cohort study of adult patients admitted to a COVID-19 unit at 2 US hospitals, there was no association of race or ethnicity with the priority score underpinning the resource allocation policy. Despite this finding, any policy to guide altered standards of care during a crisis should be monitored to ensure equitable distribution of resources.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Gershengorn reported receiving personal fees from Gilead outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Crisis Standards of Care Resource Allocation Triage Point Scoring Algorithm
SOFA indicates Sequential Organ Failure Assessment. aComorbidities expected to reduce 5-year survival included moderate dementia, malignancy with less than 10-year survival, New York Heart Association class III heart failure, moderate lung disease, end-stage kidney disease, and severe (ie, inoperable) coronary artery disease. Comorbidities expected to reduce 1-year survival included severe dementia, metastatic or stage IV cancer, New York Heart Association class IV heart failure, severe lung disease, cirrhosis with Model for End-Stage Liver Disease score greater than 20, traumatic brain injury with best Glasgow Coma Score motor response of 1, severe burns, cardiac arrest (unwitnessed, recurrent, or trauma-related), and severe immunocompromised states.
Figure 2.
Figure 2.. Distribution of Maximum Priority Scores Across Cohort
Figure 3.
Figure 3.. Comparison of Relative Triage Priority Based on Maximum Points With and Without Inclusion of Longer-Term Mortality
Sequential Organ Failure Assessment (SOFA) points 3 and 4 combined in single group (group 3).

Comment in

References

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