02116nas a2200241   4500000000100000008004100001260002400042653002100066653001200087653003100099653003100130653001700161653001600178653003100194100001500225700001800240700001700258245021200275856006100487490000700548520129400555022002501849       2023                            d  bFapUNIFESP (SciELO)10aGeneral Medicine10aLeprosy10aHealth information systems10aPublic Health Surveillance10aEpidemiology10aDescriptive10aEpidemiological Monitoring1 aMendes MDS1 aOliveira ALSD1 aSchindler HC00aEvaluation 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  uhttps://www.scielosp.org/pdf/ress/2023.v32n2/e2022734/en0 v323 a<p><strong>Objective:</strong> to analyze the completeness, consistency and non-duplication of leprosy notification data in João Pessoa, Paraíba, Brazil, 2001-2019.</p>

<p><strong>Methods:</strong>&nbsp;this was a descriptive study, conducted with data from the Notifiable Health Conditions Information System, which checked for “duplication” (acceptable: &lt; 5%), “completeness” (excellent = incompleteness ≤ 5%) and “consistency” (excellent: ≥ 90.0%), based on the proportion of complete and consistent fields.</p>

<p><strong>Results:</strong> 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%).</p>

<p><strong>Conclusion:</strong> 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.</p>
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