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1.
Epidemiol Serv Saude ; 32(2): e2022734, 2023.
Article in English, Portuguese | MEDLINE | ID: mdl-37162110

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.


Subject(s)
Information Systems , Leprosy , Humans , Brazil/epidemiology , Leprosy/epidemiology
2.
Epidemiol. serv. saúde ; 32(2): e2022734, 2023. tab, graf
Article in English, Portuguese | LILACS | ID: biblio-1440090

ABSTRACT

Objetivo: analisar a completitude, consistência e não duplicidade dos dados da notificação da hanseníase em João Pessoa, Paraíba, Brasil, 2001-2019. Métodos: estudo descritivo, com dados do Sistema de Informação de Agravos de Notificação; verificou-se a duplicidade (aceitável quando < 5%), completitude (grau excelente = incompletitude ≤ 5%) e consistência (excelente quando ≥ 90,0%) dos dados, utilizando-se a proporção de campos preenchidos e coerentes. Resultados: a amostra de 2.410 notificações apresentou duplicidade aceitável (0,3%); a completitude dos campos "baciloscopia", "no de nervos afetados", "contatos examinados" e "episódio reacional" foi muito ruim (mais de 50% incompletos); e a consistência entre os campos "classificação operacional" e "esquema terapêutico inicial", excelente (99,6%), enquanto entre "classificação operacional" e "forma clínica" foi baixa (50,7%). Conclusão: embora a duplicidade observada fosse aceitável, a completitude de campos sobre diagnóstico e acompanhamento foi ruim, dificultando a análise epidemiológica, o reconhecimento da situação do agravo e a adoção de medidas de controle da doença.


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.


Objetivo: analizar la completitud, consistencia y no duplicidad de los datos de notificación de lepra en João Pessoa, Paraíba, 2001 - 2019. Métodos: estudio descriptivo, realizado con datos del Sistema de Información de Enfermedades de Declaración Obligatoria, que verificó "duplicidad" (aceptable: < 5%). "completitud" (grado excelente: incompletitud ≤ 5%) y "consistencia" (excelente: ≥ 90,0%), utilizando la proporción de campos completos y coherentes. Resultados: se obtuvo una muestra de 2.410 notificaciones. La duplicidad se consideró aceptable (0,3%). La completitud de los campos "baciloscopía", "nervios afectados", "contactos examinados" y "episodio reaccional" fue muy pobre (más del 50% incompleta). La consistencia entre los campos "clasificación operativa" y "régimen terapéutico inicial" fue excelente (99,6%), mientras que "clasificación operativa" y "forma clínica" fue baja (50,7%). Conclusión: aunque la duplicidad es aceptable, la completitud de los campos de diagnóstico y seguimiento fue deficiente, lo que dificulta el análisis epidemiológico, el reconocimiento de la situación de la enfermedad y la adopción de medidas de control de la enfermedad.


Subject(s)
Humans , Disease Notification/statistics & numerical data , Neglected Diseases , Health Information Systems , Leprosy/epidemiology , Brazil/epidemiology , Health Surveillance System , Epidemiological Monitoring
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