Evaluation of completeness, consistency and non-duplication of leprosy notification data on the Notifiable Health Conditions Information System, João Pessoa, Paraíba, Brazil: a descriptive study, 2001-2019

对巴西帕拉伊巴州若昂佩索阿市可报告健康状况信息系统中麻风病通报数据的完整性、一致性和非重复性进行评估:一项描述性研究,2001-2019 年

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Abstract

OBJECTIVE: to analyze the completeness, consistency and non-duplication of leprosy notification data in João Pessoa, Paraíba, Brazil, 2001-2019. METHODS: this was a descriptive study, conducted with data from the Notifiable Health Conditions Information System, which checked for "duplication" (acceptable: < 5%), "completeness" (excellent = incompleteness ≤ 5%) and "consistency" (excellent: ≥ 90.0%), based on the proportion of complete and consistent fields. RESULTS: the sample consisted of 2,410 notifications. Duplication was acceptable (0.3%). The completeness of the "bacilloscopy", "affected nerves", "examined contacts" and "reactive episode" fields was very poor (more than 50% incomplete). Consistency between the "operational classification" and "initial treatment regimen" fields was excellent (99.6%), while consistency between "operational classification" and "clinical form" was low (50.7%). CONCLUSION: although duplication was acceptable, poor completeness of diagnosis and follow-up fields hinders epidemiological analysis, recognition of the status of the disease and adoption of measures to control it.

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