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10.1002/eahr.500061

http://scihub22266oqcxt.onion/10.1002/eahr.500061
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32567239!7361753!32567239
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suck abstract from ncbi


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pmid32567239      Ethics+Hum+Res 2020 ; 42 (4): 35-40
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  • Advantages of Using Lotteries to Select Participants for High-Demand Covid-19 Treatment Trials #MMPMID32567239
  • Iyer AA; Hendriks S; Rid A
  • Ethics Hum Res 2020[Jul]; 42 (4): 35-40 PMID32567239show ga
  • As hospitals have experienced a surge of Covid-19 patients, investigators of Covid-19 treatment trials face a difficult problem: when an institution has more eligible and interested patients than trial slots, who should be enrolled? Defining a clear strategy for selecting participants for "high-demand" Covid-19 treatment trials is important to avoid ad hoc and potentially biased decision-making by local investigators, which could inadvertently compromise a trial's social value, participants' interests, or fairness. In this article, we propose a set of ethical criteria for evaluating participant-selection strategies for such trials. We argue that the pandemic context-in particular, great urgency to develop safe and effective treatments, uncertainty surrounding Covid-19, and strain on the health care system that limits the time and effort available for trial enrollment-favors participant-selection strategies that optimize the ease of enrollment and, ideally, social value. A lottery and, where possible, a weighted lottery have important advantages in these respects.
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Drug Treatment[MESH]
  • |Clinical Trials as Topic/*ethics[MESH]
  • |Coronavirus Infections/drug therapy/*therapy[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Patient Selection/*ethics[MESH]
  • |Pneumonia, Viral/*therapy[MESH]
  • |Research Subjects[MESH]


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