ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2023
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.
Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Persistent and Emerging High-Risk Clusters of Leprosy Detection in Brazil: A Nationwide Spatiotemporal Analysis, 2001-2023.Tropical medicine & international health : TM & IH · 2026Article
- [Temporal trends and clinical-epidemiological profile of visceral leishmaniasis-HIV coinfection in Brazilian states between 2009 and 2024].Cadernos de saude publica · 2026Article
- Assessing territorial disparities in snakebite surveillance data in Brazil: Implications for public health.PLoS neglected tropical diseases · 2026Article
- Epidemiological Profile of Exogenous Intoxications by Self-Medication in Brazil: A Decade of Trends and the Impact of the COVID-19.Pharmacoepidemiology and drug safety · 2025Article
- Health Information Systems: how much progress are we making?Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023Article
- Measles epidemiological surveillance system before and during the COVID-19 pandemic in Pernambuco, Brazil, 2018-2022: a descriptive evaluation.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveto analyze the completeness, consistency and non-duplication of leprosy notification data in João Pessoa, Paraíba, Brazil, 2001-2019.
methodsthis 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.
resultsthe 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%).
conclusionalthough 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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