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WebM&M: Case Studies

WebM&M (Morbidity & Mortality Rounds on the Web) features expert analysis of medical errors reported anonymously by our readers. Spotlight Cases include interactive learning modules available for CME. Commentaries are written by patient safety experts and published monthly.

Have you encountered medical errors or patient safety issues? Submit your case below to help the medical community and to prevent similar errors in the future.

This Month's WebM&Ms

Update Date: September 28, 2022
Have you encountered medical errors or patient safety issues?
Have you encountered medical errors or patient safety issues? Submit your case below to help the medical community and to prevent similar errors in the future.

All WebM&M: Case Studies (1)

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1 - 1 of 1 WebM&M Case Studies
Stephen A. Martin, MD, EdM, Gordon D. Schiff, MD, and Sanjat Kanjilal, MD, MPH | April 28, 2021

A pregnant patient was admitted for scheduled Cesarean delivery, before being tested according to a universal inpatient screening protocol for SARS-CoV-2. During surgery, the patient developed a fever and required oxygen supplementation. Due to suspicion for COVID-19, a specimen obtained via nasopharyngeal swab was sent to a commercial laboratory for reverse transcriptase polymerase chain reaction (RT-PCR) testing. However, due to delays in receiving those results, another sample was tested two days later with a newly developed in-house test, and a third sample was sent to the state public health laboratory. The in-house test returned as positive for SARS-CoV-2. The patient was discharged in stable clinical condition but was advised to quarantine for 14 days. Two days after the patient’s discharge, the commercial and state lab tests were both reported as negative. A root-cause analysis subsequently determined that the positive test run on the in-house platform was due to cross-contamination from a neighboring positive sample. The commentary discusses the challenges associated with SARS-CoV-2 testing, the unprecedented burden faced by health systems, and downstream consequences of false positive tests.