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测试,测试:美国成年人实际需要哪些新冠病毒检测服务?

Testing, Testing: What SARS-CoV-2 testing services do adults in the United States actually want?

作者信息

Zimba Rebecca, Kulkarni Sarah, Berry Amanda, You William, Mirzayi Chloe, Westmoreland Drew, Parcesepe Angela, Waldron Levi, Rane Madhura, Kochhar Shivani, Robertson McKaylee, Maroko Andrew R, Grov Christian, Nash Denis

机构信息

Institute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.

Department of Maternal and Child Health, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA.

出版信息

medRxiv. 2020 Sep 18:2020.09.15.20195180. doi: 10.1101/2020.09.15.20195180.

DOI:10.1101/2020.09.15.20195180
PMID:32995800
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7523137/
Abstract

Ascertaining preferences for SARS-CoV-2 testing and incorporating findings into the design and implementation of strategies for delivering testing services may enhance testing uptake and engagement, a prerequisite to reducing onward transmission. To determine important drivers of decisions to obtain a SARS-CoV-2 test in the context of increasing community transmission. : A discrete choice experiment (DCE) was used to assess the relative importance of type of SARS-CoV-2 test, specimen type, testing venue, and results turnaround time. Uptake of an optimized testing scenario was simulated relative to the current typical testing scenario of polymerase chain reaction (PCR) via nasopharyngeal (NP) swab in a provider office or urgent care clinic with results in >5 days. ​ Online survey, embedded in an existing cohort study, conducted during July 30 - September 8, 2020. ​Participants (n=4,793) were enrolled in the CHASING COVID Cohort Study, a national longitudinal cohort of adults >18 years residing in the 50 US states, Washington, DC, Puerto Rico, or Guam. Relative importance of SARS-CoV-2 testing method attributes, utilities of specific attribute levels, and probability of choosing a testing scenario based on preferences estimated from the DCE, the current typical testing option, or choosing not to test. ​Turnaround time for test results had the highest relative importance (30.4%), followed by test type (28.3%), specimen type (26.2%), and venue (15.0%). Participants preferred fast results on both past and current infection and using a noninvasive specimen, preferably collected at home. Simulations suggested that providing immediate or same day test results, providing both PCR and serology, or collecting oral specimens would substantially increase testing uptake over the current typical testing option. Simulated uptake of a hypothetical testing scenario of PCR and serology via a saliva sample at a pharmacy with same day results was 97.7%, compared to 0.6% for the current typical testing scenario, with 1.8% opting for no test. ​Testing strategies that offer both PCR and serology with non-invasive methods and rapid turnaround time would likely have the most uptake and engagement among residents in communities with increasing community transmission of SARS-CoV-2.

摘要

确定对SARS-CoV-2检测的偏好,并将研究结果纳入检测服务策略的设计和实施中,可能会提高检测的接受度和参与度,这是减少病毒传播的先决条件。为了确定在社区传播增加的情况下,人们决定进行SARS-CoV-2检测的重要驱动因素。采用离散选择实验(DCE)来评估SARS-CoV-2检测类型、样本类型、检测地点和结果周转时间的相对重要性。相对于当前典型的检测方案,即通过鼻咽拭子在医疗机构办公室或紧急护理诊所进行聚合酶链反应(PCR)检测,且结果在5天以上才能出来,模拟了优化检测方案的接受情况。在2020年7月30日至9月8日期间,在一项现有的队列研究中进行了在线调查。参与者(n = 4793)参加了“追踪新冠病毒队列研究”,这是一项针对居住在美国50个州、华盛顿特区、波多黎各或关岛的18岁以上成年人的全国性纵向队列研究。SARS-CoV-2检测方法属性的相对重要性、特定属性水平的效用,以及根据DCE估计的偏好、当前典型检测选项或选择不检测来选择检测方案的概率。检测结果的周转时间具有最高的相对重要性(30.4%),其次是检测类型(28.3%)、样本类型(26.2%)和检测地点(15.0%)。参与者希望能快速获得过去和当前感染情况的检测结果,并使用非侵入性样本,最好是在家中采集。模拟结果表明,提供即时或当天的检测结果、同时提供PCR和血清学检测,或采集口腔样本,将比当前典型检测方案大幅提高检测接受度。通过药店采集唾液样本进行PCR和血清学检测、当天出结果这一假设检测方案的模拟接受率为97.7%,而当前典型检测方案的接受率为0.6%,1.8%的人选择不检测。对于SARS-CoV-2社区传播不断增加的社区居民来说,提供PCR和血清学检测、采用非侵入性方法且周转时间快的检测策略可能会获得最高的接受度和参与度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd8/7523137/df6605fb1786/nihpp-2020.09.15.20195180-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd8/7523137/df6605fb1786/nihpp-2020.09.15.20195180-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd8/7523137/df6605fb1786/nihpp-2020.09.15.20195180-f0001.jpg

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