Changes in Medicaid Enrollment During the COVID-19 Pandemic Across Six States (preprint)

Background: The COVID-19 public health emergency (PHE) has caused extensive job loss and loss of employer-sponsored insurance. State Medicaid programs have experienced a related increase in enrollment during the PHE. However, the composition of enrollment and enrollee changes during the pandemic is unknown. Understanding changes in the Medicaid population during the PHE may inform policy development and identify strategies to meet the rising needs for insurance coverage during public health emergencies. This study aims to examine changes in Medicaid enrollment and population characteristics during the PHE.Methods: A retrospective descriptive study documenting changes in Medicaid new enrollment and disenrollment, and enrollee characteristics between March and October 2020 compared to the same time period in 2019 using Full-state Medicaid populations from six states of a wide geographical region. The primary outcomes were medicaid enrollment and disenrollment during the PHE. New enrollment included persons enrolled in Medicaid between March and October 2020 who were not enrolled in January or February of 2020. Disenrollment included persons who were enrolled in March of 2020 but not enrolled in October 2020.Results: The study included 8.50 million Medicaid enrollees in 2020 and 8.46 million in 2019. Overall, enrollment increased by 13.0% during the PHE compared to 2019, relative enrollment growth of 1.19 million. New enrollment accounted for 24.9% of the relative increase, while the remaining 75.1% was due to disenrollment. A larger proportion of new enrollment in 2020 was among adults aged 27-44 (28.3% vs 23.6%), Hispanics (34.3% vs 32.5%) and in the financial needy (44.0% vs 39.0%) category compared to 2019. Disenrollment included a larger proportion of older adults (26.1% vs 8.1%) and non-Hispanics (70.3% vs 66.4%) than in 2019.Conclusions and Relevance: Medicaid enrollment grew considerably during the PHE, and the majority of enrollment growth was attributed to decreases in disenrollment rather than increases in new enrollment. Our results highlight the impact of COVID-19 on state health programs and can guide federal and state budgetary planning.Funding: This study was supported from the Digital Health CRC (Cooperative Research Centre). The DHCRC is established and supported under the Australian Government’s Cooperative Research Centres Program. Funding for Antonia Chan was provided by the Stanford Medical Scholars Fellowship Program.Declaration of Interest: None to declare.

Can a Quantitative Assessment of SARS-CoV-2 PCR Predict Degree of Severity and Outcomes in Critical Care Patients with COVID-19 (preprint)

Real-Time polymerase chain reaction (qPCR) is the gold standard diagnostic method for acute SARS-CoV-2 infection. Cycle threshold (Ct) is defined as the number of heating and cooling cycles required during the PCR process. Ct-values are inversely proportional to the amount of target nucleic acid in a sample. Our aim in this retrospective study was to determine the impact of serial SARS-CoV-2 qPCR Ct-values, among critically ill COVID-19 patients both prior and during intensive care unit (ICU) stay, on: mortality, need for mechanical ventilation (MV) and development of acute kidney injury (AKI). There was a continuous increment in Ct-values over the ICU stay from 1st-week through to 3rd-week. Although not significant, lower ICU 1st-week Ct-values were associated with Black ethnicity, increased need for MV and mortality. However, patients who had developed AKI at any stage of their illness had significantly lower Ct-values compared to those with normal renal function. When ICU 1st-week Ct-values are subcategorised as <20, 20-30 and >30 the 28-day survival probability was less for patients with Ct-values of <20.To our knowledge this is the first report showing the impact of Ct-values and outcomes, especially AKI, among patients at different time point’s prior to and during ICU stay.