Assessment of a Crisis Standards of Care Scoring System for Resource Prioritization and Estimated Excess Mortality by Race, Ethnicity, and Socially Vulnerable Area During a Regional Surge in COVID-19 | Critical Care Medicine | JN Learning | AMA Ed Hub [Skip to Content]
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Assessment of a Crisis Standards of Care Scoring System for Resource Prioritization and Estimated Excess Mortality by Race, Ethnicity, and Socially Vulnerable Area During a Regional Surge in COVID-19

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1 Credit CME
Key Points

Question  Is a crisis standards of care scoring system designed to allocate scarce resources in the COVID-19 pandemic associated with inequities in resource allocation by race?

Findings  In this cohort study of 498 adults admitted to the intensive care unit and preemptively scored during a COVID-19 surge, nearly twice the proportion of Black patients were scored in the lowest priority group compared with all other patients, a significant difference.

Meaning  These findings suggest that a scoring system designed to maximize lives and life-years saved in the setting of resource scarcity during the COVID-19 pandemic may result in racial inequities in prioritization.

Abstract

Importance  Crisis standards of care (CSOC) scores designed to allocate scarce resources during the COVID-19 pandemic could exacerbate racial disparities in health care.

Objective  To analyze the association of a CSOC scoring system with resource prioritization and estimated excess mortality by race, ethnicity, and residence in a socially vulnerable area.

Design, Setting, and Participants  This retrospective cohort analysis included adult patients in the intensive care unit during a regional COVID-19 surge from April 13 to May 22, 2020, at 6 hospitals in a health care network in greater Boston, Massachusetts. Participants were scored by acute severity of illness using the Sequential Organ Failure Assessment score and chronic severity of illness using comorbidity and life expectancy scores, and only participants with complete scores were included. The score was ordinal, with cutoff points suggested by the Massachusetts guidelines.

Exposures  Race, ethnicity, Social Vulnerability Index.

Main Outcomes and Measures  The primary outcome was proportion of patients in the lowest priority score category stratified by self-reported race. Secondary outcomes were discrimination and calibration of the score overall and by race, ethnicity, and neighborhood Social Vulnerability Index. Projected excess deaths were modeled by race, using the priority scoring system and a random lottery.

Results  Of 608 patients in the intensive care unit during the study period, 498 had complete data and were included in the analysis; this population had a median (IQR) age of 67 (56-75) years, 191 (38.4%) female participants, 79 (15.9%) Black participants, and 225 patients (45.7%) with COVID-19. The area under the receiver operating characteristic curve for the priority score was 0.79 and was similar across racial groups. Black patients were more likely than others to be in the lowest priority group (12 [15.2%] vs 34 [8.1%]; P = .046). In an exploratory simulation model using the score for ventilator allocation, with only those in the highest priority group receiving ventilators, there were 43.9% excess deaths among Black patients (18 of 41 patients) and 28.6% (58 of 203 patients among all others (P = .05); when the highest and intermediate priority groups received ventilators, there were 4.9% (2 of 41 patients) excess deaths among Black patients and 3.0% (6 of 203) among all others (P = .53). A random lottery resulted in more excess deaths than the score.

Conclusions and Relevance  In this study, a CSOC priority score resulted in lower prioritization of Black patients to receive scarce resources. A model using a random lottery resulted in more estimated excess deaths overall without improving equity by race. CSOC policies must be evaluated for their potential association with racial disparities in health care.

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CME Disclosure Statement: Unless noted, all individuals in control of content reported no relevant financial relationships. If applicable, all relevant financial relationships have been mitigated.

Article Information

Accepted for Publication: December 26, 2021.

Published: March 15, 2022. doi:10.1001/jamanetworkopen.2022.1744

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Riviello ED et al. JAMA Network Open.

Corresponding Author: Elisabeth D. Riviello, MD, MPH, Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215 (eriviell@bidmc.harvard.edu).

Author Contributions: Ms Dechen and Dr O’Donoghue had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Mr Sontag and Dr Stevens share senior authorship.

Concept and design: Riviello, Hayes, Mosenthal, Talmor, Sontag, Stevens.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Riviello, Dechen, O’Donoghue, Cocchi, Talmor, Sontag, Stevens.

Critical revision of the manuscript for important intellectual content: Riviello, Dechen, O’Donoghue, Cocchi, Hayes, Molina, Moraco, Mosenthal, Rosenblatt, Walsh, Stevens.

Statistical analysis: Dechen, O’Donoghue, Stevens.

Administrative, technical, or material support: Dechen, Cocchi, Hayes, Molina, Mosenthal, Talmor, Sontag, Stevens.

Supervision: Riviello, Mosenthal.

Conflict of Interest Disclosures: None reported.

Funding/Support: Dr Stevens was supported by grant number K08HS024288 from the Agency for Healthcare Research and Quality.

Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: The content is solely the responsibility of the authors and does not represent the official views of the Agency for Healthcare Research and Quality.

Additional Contributions: We would like to thank Emilie Downing, BS, Director of Market Analytics and Intelligence at Beth Israel Lahey Health, who refined the data collection tool and performed initial analyses for the hospital system Crisis Standards of Care team. We would also like to thank Karla Pollick, MHA, Administrative Director for the Center for Healthcare Delivery Science at Beth Israel Deaconess Medical Center, who provided project management and institutional review board coordination for the study. We would also like to thank Kimberly Clark Ross, BA, Associate Director, Philanthropy Vendor Systems and Compliance at Beth Israel Lahey Health, for her role in coordinating the Crisis Standards of Care leadership team and data collection team. These individuals were not compensated for their time beyond their usual salaries.

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