Universidade de Brasília, Programa de Pós-Graduação em Saúde Coletiva, Brasília, DF, Brasil.
Universidade de Brasília, Faculdade de Medicina, Brasília, DF, Brasil.
Epidemiol Serv Saude. 2020 Apr 17;29(1):e2018485. doi: 10.5123/S1679-49742020000100025. eCollection 2020.
to identify Brazilian micro-regions with under-reported tuberculosis cases, from 2012 to 2014.
this was an ecological study using data from the Notifiable Health Conditions Information System (SINAN). The indirect estimator of the proportion of notified cases (EIPCN) was calculated as the mean between the proportion of cases that adhered to treatment and the proportion of those who underwent sputum smear microscopy. Negative Binomial Regression was used to investigate evidence of under-reporting in the micro-regions selected through EIPCN.
under-reporting was suspected in 89 (17.5%) micro-regions with EIPCN below 83%. The EIPCN rate ratio in the regression model was 0.996 (95%CI 0.988;1.003) considering all the data and equal to 0.987 (95%CI 0.974;0.999) excluding the 89 micro-regions with suspected under-reporting.
evidence of tuberculosis case under-reporting was found in micro-regions where basic indicators of surveillance system quality had poor performance.
识别 2012 至 2014 年间结核病报告病例不足的巴西微区。
这是一项基于可报告疾病信息系统（SINAN）数据的生态研究。采用间接估计病例比例（EIPCN），其计算方法为治疗病例比例与痰涂片镜检比例的平均值。采用负二项回归分析方法，对通过 EIPCN 选择的微区中报告不足的证据进行调查。
EIPCN 低于 83%的 89 个微区疑似报告不足。在考虑所有数据的情况下，回归模型中的 EIPCN 比率为 0.996（95%CI 0.988；1.003），而排除 89 个疑似报告不足的微区后，该比率为 0.987（95%CI 0.974；0.999）。
在监测系统质量基本指标表现不佳的微区中，发现结核病病例报告不足的证据。
