Prospective Assessment of Symptoms to Evaluate Asymptomatic SARS-CoV-2 Infections in a Cohort of Health Care Workers.

BACKGROUND: The frequency of asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is unclear and may be influenced by how symptoms are evaluated. In this study, we sought to determine the frequency of asymptomatic SARS-CoV-2 infections in a prospective cohort of health care workers (HCWs). METHODS: A prospective cohort of HCWs, confirmed negative for SARS-CoV-2 exposure upon enrollment, were evaluated for SARS-CoV-2 infection by monthly analysis of SARS-CoV-2 antibodies as well as referral for polymerase chain reaction testing whenever they exhibited symptoms of coronavirus disease 2019 (COVID-19). Participants completed the standardized and validated FLU-PRO Plus symptom questionnaire scoring viral respiratory disease symptom intensity and frequency at least twice monthly during baseline periods of health and each day they had any symptoms that were different from their baseline. RESULTS: Two hundred sixty-three participants were enrolled between August 25 and December 31, 2020. Through February 28, 2021, 12 participants were diagnosed with SARS-CoV-2 infection. Symptom analysis demonstrated that all 12 had at least mild symptoms of COVID-19, compared with baseline health, near or at time of infection. CONCLUSIONS: These results suggest that asymptomatic SARS-CoV-2 infection in unvaccinated, immunocompetent adults is less common than previously reported. While infectious inoculum doses and patient factors may have played a role in the clinical manifestations of SARS-CoV-2 infections in this cohort, we suspect that the high rate of symptomatic disease was due primarily to participant attentiveness to symptoms and collection of symptoms in a standardized, prospective fashion. These results have implications for studies that estimate SARS-CoV-2 infection prevalence and for public health measures to control the spread of this virus.

High-Value, Cost-Conscious Care: Iterative Systems-Based Interventions to Reduce Unnecessary Laboratory Testing.

BACKGROUND: Inappropriate testing contributes to soaring healthcare costs within the United States, and teaching hospitals are vulnerable to providing care largely for academic development. Via its "Choosing Wisely" campaign, the American Board of Internal Medicine recommends avoiding repetitive testing for stable inpatients. We designed systems-based interventions to reduce laboratory orders for patients admitted to the wards at an academic facility. METHODS: We identified the computer-based order entry system as an appropriate target for sustainable intervention. The admission order set had allowed multiple routine tests to be ordered repetitively each day. Our iterative study included interventions on the automated order set and cost displays at order entry. The primary outcome was number of routine tests controlled for inpatient days compared with the preceding year. Secondary outcomes included cost savings, delays in care, and adverse events. RESULTS: Data were collected over a 2-month period following interventions in sequential years and compared with the year prior. The first intervention led to 0.97 fewer laboratory tests per inpatient day (19.4%). The second intervention led to sustained reduction, although by less of a margin than order set modifications alone (15.3%). When extrapolating the results utilizing fees from the Centers for Medicare and Medicaid Services, there was a cost savings of $290,000 over 2 years. Qualitative survey data did not suggest an increase in care delays or near-miss events. CONCLUSIONS: This series of interventions targeting unnecessary testing demonstrated a sustained reduction in the number of routine tests ordered, without adverse effects on clinical care.