Reports From the Field

COVID-19 Screening and Testing Among Patients With Neurologic Dysfunction: The Neuro-COVID-19 Time-out Process and Checklist


 

References

The checklist clinicians review when screening patients is shown in Figure 2. The risk factors comprising the checklist include patient history and clinical and radiographic characteristics that have been shown to be relevant for identifying patients with COVID-19.6,7 The imaging criteria utilize imaging that is part of the standard of care for NSICU patients. For example, computed tomography angiogram of the head and neck performed as part of the acute stroke protocol captures the upper part of the chest. These images are utilized for their incidental findings, such as apical ground-glass opacities and tree-in-bud formation. The risk factors applicable to the patient determine whether the clinician will call Med-Com for testing approval. Institutional COVID-19 processes were then followed accordingly.8 The decision from Med-Com was considered final, and no deviation from institutional policies was allowed.

2. Neuro-COVID-19 Time-out Checklist for assessing the likelihood (high versus low) COVID-19 testing is needed in patients with neurologic dysfunction

NCOT-PC was utilized for consecutive days for 1 week before re-evaluation of its feasibility and adaptability.

Data Collection and Analysis

Consecutive patients with neurologic dysfunction admitted into the NSICU were assigned nonlinkable patient numbers. No identifiers were collected for the purpose of this project. The primary diagnosis for admission, the neurologic dysfunction that precluded standard screening, and checklist components that the patient fulfilled were collected.

To assess the tool’s feasibility, feedback regarding the ease of use of the NCOT-PC was gathered from the nurses, NPs, charge nurses, fellows, and other attendings. To assess the utility of the NCOT-PC in identifying patients who will be approved for COVID-19 testing, we calculated the proportion of patients who were deemed to have a high likelihood of testing and the proportion of patients who were approved for testing. Descriptive statistics were used, as applicable for the project, to summarize the utility of the NCOT-PC.

Results

We found that the NCOT-PC can be easily used by clinicians. The NSICU staff did not communicate any implementation issues, and since the NCOT-PC was implemented, no problems have been identified.

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