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1.
Cad Saude Publica ; 28(9): 1685-98, 2012 Sep.
Artículo en Portugués | MEDLINE | ID: mdl-23033184

RESUMEN

The study analyzed the flow of persons with leprosy from their municipality (county) of residence to that of their diagnosis in a highly endemic area in Brazil. The study was based on data from the National Information System for Notifiable Diseases from 2001 to 2009 in the States of Maranhão, Pará, Tocantins, and Piauí. Of the 373 municipalities, 349 (93.6%) had at least one resident with leprosy that had been diagnosed in a different municipality (4,325 cases, or 5.2% of the total). The municipalities with the most cases reported elsewhere were Timon (248) and São José de Ribamar (201), Maranhão State. The municipalities that received the most exogenous cases for diagnosis were São Luís (719), capital of Maranhão, and Teresina (516), capital of Piauí. Goiânia (146), capital of Goiás, and the Federal District (42) also reported numerous cases, even though they are located more than 1,000 km from the endemic area. The flow indicates gaps in the decentralization of comprehensive care for persons with leprosy and calls attention to the difficulties associated with patient monitoring during and after multidrug therapy.


Asunto(s)
Enfermedades Endémicas/estadística & datos numéricos , Lepra/diagnóstico , Atención Primaria de Salud , Brasil/epidemiología , Análisis por Conglomerados , Estudios Transversales , Notificación de Enfermedades , Migración Humana/estadística & datos numéricos , Humanos , Sistemas de Información , Lepra/epidemiología , Lepra/prevención & control , Análisis Espacial
2.
Cad. saúde pública ; 28(9): 1685-1698, set. 2012. ilus
Artículo en Portugués | LILACS | ID: lil-650789

RESUMEN

Caracterizar o fluxo de pessoas afetadas pela hanseníase, do município de residência para o de diagnóstico, em área de alta endemicidade no Brasil. Estudo baseado em dados do Sistema de Informação de Agravos e Notificação de 2001-2009, nos estados do Maranhão, Pará, Tocantins e Piauí. Dos 373 municípios, 349 (93,6%) tiveram pelo menos um residente afetado pela hanseníase notificado em outro município (4.325 casos, 5,2% dos notificados). Os municípios com maior número de casos notificados fora de sua residência foram Timon (248) e São José de Ribamar (201), no Maranhão. Os municípios que mais receberam casos para diagnóstico foram São Luís (719) e Teresina (516). Destacam-se Goiânia (146) e o Distrito Federal (42) como polos de notificações de casos residentes no agregado, mesmo a mais de 1.000km de distância da área. O fluxo observado indica lacunas na descentralização do processo de atenção integral à pessoa afetada pela hanseníase e chama atenção para as dificuldades e desafios associados com o acompanhamento durante e após a poliquimioterapia.


The study analyzed the flow of persons with leprosy from their municipality (county) of residence to that of their diagnosis in a highly endemic area in Brazil. The study was based on data from the National Information System for Notifiable Diseases from 2001 to 2009 in the States of Maranhão, Pará, Tocantins, and Piauí. Of the 373 municipalities, 349 (93.6%) had at least one resident with leprosy that had been diagnosed in a different municipality (4,325 cases, or 5.2% of the total). The municipalities with the most cases reported elsewhere were Timon (248) and São José de Ribamar (201), Maranhão State. The municipalities that received the most exogenous cases for diagnosis were São Luís (719), capital of Maranhão, and Teresina (516), capital of Piauí. Goiânia (146), capital of Goiás, and the Federal District (42) also reported numerous cases, even though they are located more than 1,000km from the endemic area. The flow indicates gaps in the decentralization of comprehensive care for persons with leprosy and calls attention to the difficulties associated with patient monitoring during and after multidrug therapy.


Asunto(s)
Humanos , Enfermedades Endémicas/estadística & datos numéricos , Lepra/diagnóstico , Atención Primaria de Salud , Brasil/epidemiología , Análisis por Conglomerados , Estudios Transversales , Notificación de Enfermedades , Migración Humana/estadística & datos numéricos , Sistemas de Información , Lepra/epidemiología , Lepra/prevención & control , Análisis Espacial
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