Can we use temperature measurements to identify pre-symptomatic SARS-CoV-2 infection in nursing home residents?

BACKGROUND: COVID-19 has had a severe impact on morbidity and mortality among nursing home (NH) residents. Earlier detection of SARS-CoV-2 may position us to better mitigate the risk of spread. Both asymptomatic and pre-symptomatic transmission are common in outbreaks, and threshold temperatures, such as 38C, for screening for infection could miss timely detection in the majority of residents. We hypothesized that in long-term care residents, temperature trends with SARS-CoV-2 infection could identify infection in pre-symptomatic individuals earlier than standard screening. METHODS: We conducted a retrospective cohort study using electronic health records in 6176 residents of the VA NHs who underwent SARS-CoV-2 testing triggered by symptoms. We collected information about age and other demographics, baseline temperature, and specific comorbidities. We created standardized definitions, and a hypothetical model to test measures of temperature variation and compare outcomes to the VA standard of care. RESULTS: We showed that a change from baseline of 0.4C identified 47% of NH residents who became SARS-CoV-2 positive, earlier than standard testing by an average of 42.2 h. Temperature variability of 0.5C over 3 days when paired with a 37.2C temperature cutoff identified 55% of NH residents who became SARS-CoV-2 positive earlier than the standard of care testing by an average of 44.4 h. A change from baseline temperature of 0.4C when combined with temperature variability of 0.7C over 3 days identified 52% of NH residents who became SARS-CoV-2 positive, earlier than standard testing by an average of 40 h, and by more than 3 days in 22% of the residents. This earlier detection comes at the expense of triggering 57,793 tests, as compared to the number of trigger tests ordered in the VA system of 40,691. CONCLUSIONS: Our model suggests that early temperature trends with SARS-CoV-2 infection may identify infection in pre-symptomatic long-term care residents.

Enhancing the quality of prescribing practices for older adults discharged from the emergency department in Rhode Island.

BACKGROUND: We sought to examine the effectiveness of the Enhancing the Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department (EQUiPPED) medication safety program in three emergency departments (EDs) within the largest health system in Rhode Island (RI) with funding through a quality incentive payment by a private insurance partner. METHODS: This study utilized a quasi-experimental interrupted time series design to implement EQUiPPED, a three-prong intervention aimed at reducing potentially inappropriate medication (PIM) prescriptions to 5% or less per month. We included clinicians who prescribed medications to older ED patients during the pre-and post-intervention periods from July 2018 to January 2021. We determined the monthly rate of PIM prescribing among older adults discharged from the ED, according to the American Geriatrics Society Beers Criteria, using Poisson regression. RESULTS: 247 ED clinicians (48% attendings [n = 119], 27% residents [n = 67], 25% advanced practice providers [n = 61]) were included in EQUiPPED, of which 92% prescribed a PIM during the study period. In the pre-implementation period (July 2018-July 2019) the average monthly rate of PIM prescribing was 9.30% (95% CI: 8.82%, 9.78%). In the post-implementation period (October 2019-January 2021) the PIM prescribing rate decreased significantly to 8.62% (95% CI: 8.14%, 9.10%, p < 0.01). During pre-implementation, 1325 of the 14,193 prescribed medications were considered inappropriate, while only 1108 of the 13,213 prescribed medications in post-implementation were considered inappropriate. The greatest reduction was observed among antihistamines, skeletal muscle relaxants, and benzodiazepines. CONCLUSIONS: EQUiPPED contributed to a modest improvement in PIM prescribing to older adults among clinicians in these RI EDs even in the midst of the COVID-19 pandemic. The quality incentive funding model demonstrates a successful strategy for implementation and, with greater replication, could shape national policy regarding health care delivery and quality of care for older adults.