Medical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
HIV Prevention Trials Network Modelling Centre, Imperial College London, London, UK.
AIDS Behav. 2021 Dec;25(12):3858-3870. doi: 10.1007/s10461-021-03310-z. Epub 2021 May 28.
Monitoring progress towards the UNAIDS 'first 90' target requires accurate estimates of levels of diagnosis among people living with HIV (PLHIV), which is often estimated using self-report. We conducted a systematic review and meta-analysis quantifying under-reporting of known HIV-positive status using objective knowledge proxies. Databases were searched for studies providing self-reported and biological/clinical markers of prior knowledge of HIV-positive status among PLHIV. Random-effects models were used to derive pooled estimates of levels of under-reporting. Thirty-two estimates from 26 studies were included (41,465 PLHIV). The pooled proportion under-reporting known HIV-positive status was 20% (95% confidence interval 13-26%, I = 99%). In sub-group analysis, under-reporting was higher among men who have sex with men (32%, number of estimates [N] = 10) compared to the general population (9%, N = 10) and among Black (18%, N = 5) than non-Black (3%, N = 3) individuals. Supplementing self-reported data with biological/clinical proxies may improve the validity of the 'first 90' estimates.
监测艾滋病规划署“最初 90 目标”的进展情况需要准确估计艾滋病毒感染者(PLHIV)的诊断水平,这通常是通过自我报告来估计的。我们进行了一项系统评价和荟萃分析,使用客观的知识替代指标来量化已知 HIV 阳性状态的漏报情况。我们在数据库中搜索了提供 PLHIV 先前 HIV 阳性状态的自我报告和生物学/临床标志物的研究。使用随机效应模型得出漏报已知 HIV 阳性状态的水平的汇总估计值。纳入了 26 项研究的 32 项估计值(41,465 名 PLHIV)。已知 HIV 阳性状态的漏报率的汇总比例为 20%(95%置信区间为 13-26%,I=99%)。在亚组分析中,与一般人群(9%,N=10)相比,男男性行为者(MSM)中的漏报率更高(32%,估计数量[N]=10),与非黑人(3%,N=3)相比,黑人(18%,N=5)中的漏报率更高。用生物学/临床替代指标补充自我报告数据可能会提高“最初 90”估计值的准确性。