Multidisciplinary Unit for Biomedical Research (UMIB), Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal.
Royal Tropical Institute, KIT Health, Amsterdam, The Netherlands.
Int J Tuberc Lung Dis. 2020 Nov 1;24(11):1186-1193. doi: 10.5588/ijtld.20.0094.
Despite the steady decline in the last few decades, Portugal remains the Western European country with the highest TB notification rates. The aim of this study was to estimate the completeness of notification to the National Tuberculosis Programme (NTP) Surveillance System (SVIG-TB) in 2015. We implemented an inventory study and a three-source log-linear capture-recapture analysis using two additional data sources that were deterministic and probabilistically linked: the national notifiable diseases surveillance system ( SINAVE) and the national hospital discharge database ( GDH). We identified 2328 unique probable/confirmed TB cases across the three data sources. We found a positive dependency between SVIG-TB and SINAVE (incidence rate ratio IRR 8.9, 95%CI 6.6-12.0) and between GDH and SINAVE (IRR 2.6, 95%CI 2.0-3.4). After adjusting for these dependencies, we estimated that 266 cases (95%CI 198-358) were not reported, indicating a notification (to SVIG-TB) completeness rate of 77.0%. True incidence rate of TB in Portugal in 2015 could have been as high as 26.1 per 100 000. This could be an overestimation because of false-positive cases recorded in both SINAVE and GDH or on a smaller scale, false non-matches. Studies aimed at validating potentially false-positive cases should be implemented to address these limitations.
尽管在过去几十年中呈稳步下降趋势,但葡萄牙仍然是西欧国家中结核病报告发病率最高的国家。本研究旨在评估 2015 年国家结核病规划(NTP)监测系统(SVIG-TB)的通知完整性。我们实施了一项清单研究,并使用两个确定性和概率性关联的额外数据源(国家法定传染病监测系统(SINAVE)和国家医院出院数据库(GDH))进行了三源对数线性捕获-再捕获分析。我们在三个数据源中确定了 2328 例独特的疑似/确诊结核病病例。我们发现 SVIG-TB 与 SINAVE 之间存在正相关性(发病率比 IRR8.9,95%CI6.6-12.0),GDH 与 SINAVE 之间存在正相关性(IRR2.6,95%CI2.0-3.4)。在调整了这些相关性后,我们估计有 266 例(95%CI198-358)未报告,表明通知(至 SVIG-TB)的完整性率为 77.0%。2015 年葡萄牙的结核病实际发病率可能高达 26.1/100000。由于 SINAVE 和 GDH 或规模较小的假不匹配记录了假阳性病例,这可能是一个高估。应实施旨在验证潜在假阳性病例的研究,以解决这些限制。