COVID-19自我风险评估工具在劳动年龄人群中预防感染的有效性

Q4 Medicine
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The second phase evaluated the sensitivity, specificity and predictive value of TST among 320 subjects underwent reverse transcription polymerase chain reaction (RT-PCR) testing.\n\nResults: TST showed varying percentages for each risk level: normal, 44.4%, 38.8%, 29.2%; low, 54.3%, 60.8%, 70.5%; high, 0.2%, 0.02%, 0.1%; very high, 1.1%, 0.36%, 0.21%; and infection results, 0.02%, 0%, 0.05%. TST indicated a sensitivity of 95.7% (95% CI 87.3 to 104.0), a specificity of 75.0% (95% CI 63.2 to 86.8) for detecting infection. Sensitivity for very high-risk level was 85.7% (95% CI 59.8 to 111.6) with 63.9% specificity (95% CI 51.9 to 76.0). The high-risk level had a sensitivity of 75% (95% CI 32.6 to 117) with specificity of 28.1% (95% CI 20.6 to 35.5), while the low-risk level had sensitivity of 90% (95% CI 71.4 to 109.0) with specificity of 27.1% (95% CI 19.8 to 34.3). 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引用次数: 0

摘要

背景:鉴于2019冠状病毒病大流行的持续影响,自我风险评估工具对于个人,特别是工作年龄群体,评估其感染风险至关重要。到2021年初,还缺乏这样的工具。目的:开发并评价泰铢自评测试应用程序(TST)在个人进入场所前确定COVID-19感染风险水平的有效性。材料与方法:本研究分为2021年4月至2022年7月两个阶段。在第一阶段,采用人口分配抽样方法从全国所有地区招募工厂工人。TST在两周内进行三次自我评估,以确定风险水平。第二阶段对320名接受逆转录聚合酶链反应(RT-PCR)检测的受试者进行TST的敏感性、特异性和预测值评估。结果:TST在不同危险水平中所占比例不同:正常、44.4%、38.8%、29.2%;低,54.3%,60.8%,70.5%;高,0.2%,0.02%,0.1%;非常高,1.1%,0.36%,0.21%;感染结果分别为0.02%、0%、0.05%。TST检测感染的敏感性为95.7% (95% CI 87.3 ~ 104.0),特异性为75.0% (95% CI 63.2 ~ 86.8)。高危水平的敏感性为85.7% (95% CI 59.8 ~ 111.6),特异性为63.9% (95% CI 51.9 ~ 76.0)。高危水平的敏感性为75% (95% CI 32.6 ~ 117),特异性为28.1% (95% CI 20.6 ~ 35.5),低危水平的敏感性为90% (95% CI 71.4 ~ 109.0),特异性为27.1% (95% CI 19.8 ~ 34.3)。阴性预测值(NPV)均为97.5%。结论:TST应用是一种自我风险筛查工具,可有效区分不同风险水平,并对所有评估结果提供检测NPV感染的敏感性。该应用程序可以使个人在进入任何场所之前评估其感染COVID-19的风险水平。关键词:自我风险评估;COVID-19;感染;入境证明;工作年龄
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effectiveness of COVID-19 Self-Risk Assessment Tool for Infection Prevention among Working-Age Population
Background: Given the ongoing impact of the COVID-19 pandemic, self-risk assessment tools are crucial for individuals, particularly the working-age group, to evaluate their infection risk. There is a lack of such tools as of early 2021. Objective: To develop and evaluate the effectiveness of the self-assessment test application named Thai Save Thai (TST) for determining individuals’ risk level of COVID-19 infection before entering premises. Materials and Methods: The present research consisted of two phases between April 2021 and July 2022. In the first phase, factory workers from all regions of the country were recruited using population allocation sampling. TST was used for self-assessment three times within two-week period to determine risk levels. The second phase evaluated the sensitivity, specificity and predictive value of TST among 320 subjects underwent reverse transcription polymerase chain reaction (RT-PCR) testing. Results: TST showed varying percentages for each risk level: normal, 44.4%, 38.8%, 29.2%; low, 54.3%, 60.8%, 70.5%; high, 0.2%, 0.02%, 0.1%; very high, 1.1%, 0.36%, 0.21%; and infection results, 0.02%, 0%, 0.05%. TST indicated a sensitivity of 95.7% (95% CI 87.3 to 104.0), a specificity of 75.0% (95% CI 63.2 to 86.8) for detecting infection. Sensitivity for very high-risk level was 85.7% (95% CI 59.8 to 111.6) with 63.9% specificity (95% CI 51.9 to 76.0). The high-risk level had a sensitivity of 75% (95% CI 32.6 to 117) with specificity of 28.1% (95% CI 20.6 to 35.5), while the low-risk level had sensitivity of 90% (95% CI 71.4 to 109.0) with specificity of 27.1% (95% CI 19.8 to 34.3). The negative predictive value (NPV) were the same value as 97.5% at all results. Conclusion: TST application is a self-risk screening tool that effectively discriminates between different risk levels and provides sensitivity for detecting infection with NPV for all assessment results. This application can enable individuals to assess their risk level of COVID-19 infection before entering any premises. Keywords: Self-risk assessment; COVID-19; Infection; Verify of entry; Working-age
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