Preprint
18 June 2021
Chua, Kao Ping, Conti, Rena M, Becker, Nora V
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Introduction: Millions of U.S. patients have been hospitalized for COVID-19. After discharge, these patients often have extensive health care needs, but out-of-pocket burden for this care is poorly described. We assessed out-of-pocket spending within 90 days of discharge from COVID-19 hospitalization among privately insured and Medicare Advantage patients.
Methods: In May 2021, we conducted a cross-sectional analysis of the IQVIA PharMetrics ® Plus for Academics Database, a national de-identified claims database. Among privately insured and Medicare Advantage patients hospitalized for COVID-19 between March-June 2020, we calculated mean out-of-pocket spending for care within 90 days of discharge. For context, we repeated analyses for patients hospitalized for pneumonia.
Results: Among 1,465 COVID-19 patients included, 516 (35.2%) and 949 (64.8%) were covered by private...
News (peer reviewed)
17 June 2021
Tsai Y, et al
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The COVID-19 pandemic substantially increased medical care requirements and associated costs in the older fee-for-service (FFS) Medicare beneficiary population in the USA, according to a study published in Annals of Internal Medicine.
Editorial
6 June 2021
Feinman, Jared
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THE SARS-CoV-2 Coronavirus Disease 2019 (COVID-19) pandemic has impacted our healthcare system in myriad ways, many of which are brutally obvious to anyone with even a cursory knowledge of current events (overrun intensive care units, ventilator and personal protective equipment shortages, and nearly 500,000 deaths in the United States as of the writing of this editorial). There are, however, more subtle effects that the pandemic has wrought on both the health of Americans and the healthcare system that are no less insidious despite the lack of above-the-fold headlines. Prominent among these are the sequelae of prolonged social isolation, fear of COVID-19 infection, and postponed routine and semiurgent medical care (either due to efforts by medical professionals to conserve limited hospital beds and other resources or patients avoiding care in order to minimize their risk of...
Journal Article
4 June 2021
Broughel, James, Kotrous, Michael
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This paper estimates the benefits and costs of state suppression policies to “bend the curve” during the initial outbreak of COVID-19 in the United States. We employ an approach that values benefits and costs in terms of additions or subtractions to total production. Relative to a baseline in which only the infected and at-risk populations mitigate the spread of coronavirus, we estimate that total benefits of suppression policies to economic output are between $632.5 billion and $765.0 billion from early March 2020 to August 1, 2020. Relative to private mitigation, output lost due to suppression policies is estimated to be between $214.2 billion and $331.5 billion. The cost estimate is based on the duration of nonessential business closures and stay-at-home orders, which were enforced between 42 and 65 days. Our results indicate that the net benefits of suppression policies to...
Journal Article
3 June 2021
Wong, Michelle S,Haderlein, Taona P,Yuan, Anita H,Moy, Ernest,Jones, Kenneth T,Washington, Donna L
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Studies documenting coronavirus disease 2019 (COVID-19) racial/ethnic disparities in the United States were limited to data from the initial few months of the pandemic, did not account for changes over time, and focused primarily on Black and Hispanic minority groups. To fill these gaps, we examined time trends in racial/ethnic disparities in COVID-19 infection and mortality. We used the Veteran Health Administration’s (VHA) national database of veteran COVID-19 infections over three time periods: 3/1/2020-5/31/2020 (spring); 6/1/2020-8/31/2020 (summer); and 9/1/2020-11/25/2020 (fall). We calculated COVID-19 infection and mortality predicted probabilities from logistic regression models that included time period-by-race/ethnicity interaction terms, and controlled for age, gender, and prior diagnosis of CDC risk factors. Racial/ethnic groups at higher risk for COVID-19 infection...
Preprint
13 May 2021
Nash, Beatrice,Badea, Anthony,Reddy, Ankita,Bosch, Miguel,Salcedo, Nol,Gomez, Adam R,Versiani, Alice,Silva, Gislaine Celestino Dutra,Santos, Thayza Maria Izabel Lopes Dos,Milhim, Bruno H G A,Moraes, Marilia M,Campos, Guilherme Rodrigues Fernandes,Quieroz, Flavia,Reis, Andreia Francesli Negri,Nogueira, Mauricio L,Naumova, Elena N,Bosch, Irene,Herrera, Bobby Brooke
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High frequency screening of populations has been proposed as a strategy in facilitating control of the COVID-19 pandemic. We use computational modeling, coupled with clinical data from rapid antigen tests, to predict the impact of frequent viral antigen rapid testing on COVID-19 spread and outcomes. Using patient nasal or nasopharyngeal swab specimens, we demonstrate that the sensitivity/specificity of two rapid antigen tests compared to quantitative real-time polymerase chain reaction (qRT-PCR) are 82.0%/100% and 84.7%/85.7%, respectively; moreover, sensitivity correlates directly with viral load. Based on COVID-19 data from three regions in the United States and São José do Rio Preto, Brazil, we show that high frequency, strategic population-wide rapid testing, even at varied accuracy levels, diminishes COVID-19 infections, hospitalizations, and deaths at a fraction of the...
Journal Article
11 May 2021
Ferranna, Maddalena, Cadarette, Daniel, Bloom, David E
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Given the scarcity of safe and effective COVID-19 vaccines, a chief policy question is how to allocate them among different sociodemographic groups. This paper evaluates COVID-19 vaccine prioritization strategies proposed to date, focusing on their stated goals; the mechanisms through which the selected allocations affect the course and burden of the pandemic; and the main epidemiological, economic, logistical, and political issues that arise when setting the prioritization strategy. The paper uses a simple, age-stratified susceptible-exposed-infectious-recovered model to quantitatively assess the performance of alternative prioritization strategies with respect to avoided deaths, avoided infections, and life-years gained. We demonstrate that prioritizing essential workers is a viable strategy for reducing the number of cases and years of life lost, while the largest reduction in...
Preprint
11 May 2021
Rebeira, Mayvis, Nauenberg, Eric
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Background: The economic stimulus package in the United States, which totalled $2.48 trillion, was designed to soften the economic impact of sweeping containment measures including shelter-in-place orders that were put in place to control the COVID-19 pandemic.Methods: In healthcare, interventions are rarely justified simply in terms of the number of lives saved but also in terms of a myriad of other trade-off factors including value-for-money or cost-effectiveness. Cost-effectiveness analysis was therefore conducted as the cost per life-year gained (Cost/LYG) from the containment measures adopted based on several different projections of the baseline number of deaths in the absence of any containment measures. Reductions in premature mortality due to the shutdown (i.e. the difference between years of life lost relative to life expectancy under the shutdown and no shutdown...
Journal Article
3 May 2021
Basu, Anirban, Gandhay, Varun J
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To estimate the overall quality-adjusted life-years (QALYs) gained by averting 1 coronavirus disease 2019 (COVID-19) infection over the duration of the pandemic. A cohort-based probabilistic simulation model, informed by the latest epidemiological estimates on COVID-19 in the United States provided by the Centers for Disease Control and Prevention and literature review. Heterogeneity of parameter values across age group was accounted for. The main outcome studied was QALYs for the infected patient, patient’s family members, and the contagion effect of the infected patient over the duration of the pandemic. Averting a COVID-19 infection in a representative US resident will generate an additional 0.061 (0.016-0.129) QALYs (for the patient: 0.055, 95% confidence interval [CI] 0.014-0.115; for the patient’s family members: 0.006, 95% CI 0.002-0.015). Accounting for the contagion...
Journal Article
30 April 2021
Real de Asua, Diego, Fins, Joseph J
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While COVID-19 has generated a massive burden of illness worldwide, healthcare workers (HCWs) have been disproportionately exposed to SARS-CoV-2 coronavirus infection. During the so-called ‘first wave’, infection rates among this population group have ranged between 10% and 20%, raising as high as one in every four COVID-19 patients in Spain at the peak of the crisis. Now that many countries are already dealing with new waves of COVID-19 cases, a potential competition between HCW and non-HCW patients for scarce resources can still be a likely clinical scenario. In this paper, we address the question of whether HCW who become ill with COVID-19 should be prioritised in diagnostic, treatment or resource allocation protocols. We will evaluate some of the proposed arguments both in favour and against the prioritisation of HCW and also consider which clinical circumstances might warrant...