Coronavirus Disease 2019 (COVID-19) Diagnostic Clinical Decision Support: A Pre-Post Implementation Study of CORAL (COvid Risk cALculator)

Author:

Dugdale Caitlin M123,Rubins David M345,Lee Hang36,McCluskey Suzanne M123,Ryan Edward T13,Kotton Camille N13,Hurtado Rocio M13,Ciaranello Andrea L123,Barshak Miriam B13,McEvoy Dustin S5,Nelson Sandra B13,Basgoz Nesli13,Lazarus Jacob E13,Ivers Louise C137,Reedy Jennifer L13,Hysell Kristen M13,Lemieux Jacob E13,Heller Howard M13,Dutta Sayon358,Albin John S13,Brown Tyler S139,Miller Amy L4,Calderwood Stephen B13,Walensky Rochelle P123,Zachary Kimon C1310,Hooper David C1310,Hyle Emily P123,Shenoy Erica S1310

Affiliation:

1. Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA

2. Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, USA

3. Harvard Medical School, Boston, Massachusetts, USA

4. Department of Medicine, Brigham & Women’s Hospital, Boston, Massachusetts, USA

5. Mass General Brigham Clinical Informatics, Boston, Massachusetts, USA

6. Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts, USA

7. Mass General Center for Global Health, Massachusetts General Hospital, Boston, Massachusetts, USA

8. Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA

9. Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA

10. Infection Control Unit, Massachusetts General Hospital, Boston, Massachusetts, USA

Abstract

Abstract Background Isolation of hospitalized persons under investigation (PUIs) for coronavirus disease 2019 (COVID-19) reduces nosocomial transmission risk. Efficient evaluation of PUIs is needed to preserve scarce healthcare resources. We describe the development, implementation, and outcomes of an inpatient diagnostic algorithm and clinical decision support system (CDSS) to evaluate PUIs. Methods We conducted a pre-post study of CORAL (COvid Risk cALculator), a CDSS that guides frontline clinicians through a risk-stratified COVID-19 diagnostic workup, removes transmission-based precautions when workup is complete and negative, and triages complex cases to infectious diseases (ID) physician review. Before CORAL, ID physicians reviewed all PUI records to guide workup and precautions. After CORAL, frontline clinicians evaluated PUIs directly using CORAL. We compared pre- and post-CORAL frequency of repeated severe acute respiratory syndrome coronavirus 2 nucleic acid amplification tests (NAATs), time from NAAT result to PUI status discontinuation, total duration of PUI status, and ID physician work hours, using linear and logistic regression, adjusted for COVID-19 incidence. Results Fewer PUIs underwent repeated testing after an initial negative NAAT after CORAL than before CORAL (54% vs 67%, respectively; adjusted odd ratio, 0.53 [95% confidence interval, .44–.63]; P < .01). CORAL significantly reduced average time to PUI status discontinuation (adjusted difference [standard error], −7.4 [0.8] hours per patient), total duration of PUI status (−19.5 [1.9] hours per patient), and average ID physician work-hours (−57.4 [2.0] hours per day) (all P < .01). No patients had a positive NAAT result within 7 days after discontinuation of precautions via CORAL. Conclusions CORAL is an efficient and effective CDSS to guide frontline clinicians through the diagnostic evaluation of PUIs and safe discontinuation of precautions.

Funder

National Institute of Allergy and Infectious Diseases

National Institute of Child Health and Human Development

Centers for Disease Control and Prevention

Harvard Catalyst

Cystic Fibrosis Foundation

Sullivan Family Foundation

Roger I. and Ruth B. MacFarlane Foundation

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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