Avaliação do dado sobre endereço no Sistema de Informação de Agravos de Notificação utilizando georreferenciamento em nível local de casos de tuberculose por dois métodos no município do Rio de Janeiro

Abstract

ResumoO presente trabalho objetivou avaliar a qualidade dos dados referentes ao endereço dos casos notificados de tuberculose (TB) ao Sistema de Informação de Agravos de Notificação (SINAN), de 2005 a 2008, no município do Rio de Janeiro. Criou-se um indicador a partir da razão entre a taxa de incidência da TB calculada a partir do bairro de moradia declarado pelo paciente e a taxa de incidência do bairro obtida após o georreferenciamento do endereço do mesmo indivíduo, com o intuito de medir possíveis impactos que inconsistências no endereço podem causar nos cálculos de indicadores da doença por bairro. Foram utilizadas duas técnicas de georreferenciamento de dados a partir do endereço de residência. Foi realizada uma correção no campo endereço que modificou 27% dos registros. Houve uma diferença no resultado do georreferenciamento entre os dois métodos de 64 e 69%. Com o processo manual, chegou-se a 89% de localização. A partir do indicador criado, nota-se que apenas 28% dos bairros apresentaram um valor entre 0,85 e 1,15, considerado como razoável. O processo de localização pode ser mais rápido e eficaz após maior conscientização e treinamento dos profissionais responsáveis e utilização de algum cadastro oficial de logradouros. As diferenças apresentadas no indicador I podem auxiliar na tomada de decisões mais acertadas.Palavras-chave: tuberculose; análise espacial; indicador. AbstractThe study aimed to evaluate the quality of data refers to the address of the tuberculosis (TB) case notified to the Information System for Notifiable Diseases (SINAN), from 2005 to 2008, in the city of Rio de Janeiro. Was created an indicator from the ratio between the incidence rate of TB, calculated from the neighbourhood declared by the patient, and the incidence rate of the neighbourhood, obtained after georeferencing address the same subject, with a view to measure the possible impacts that inconsistencies in address may cause the calculation of health's indicators in the district level. Two techniques of georeferencing data were used from the home address. A correction in the address field which changed 27% of the records was performed. There was a difference in the outcome between the two methods georeferencing 64 and 69%. With the manual process was reached 89% location. From the indicator created, it is noted that only 28% of districts with a value between 0.85 and 1.15, considered as reasonable. The localization process can be faster and more efficient with greater awareness and training for professionals responsible and use of any official record of register streets. The differences in the indicator I can assist in decision making more correct decisions.

Análise espacial da Tuberculose no Rio de Janeiro no período de 2005 a 2008 e fatores socioeconômicos associados utilizando microdado e modelos de regressão espaciais globais

“…The analyses of the agglomerates formed by the log variable of the incidence rate after Bayesian smoothing allow the disease occurrence to be studied in greater detail. However, a limitation in the present study is related to the loss of georeferencing from addresses, described in Magalhães et al 15 . The percentage of cases not located in poor areas could not be determined, but experience has shown that the vast majority of non-located cases occur in favelas.…”

“…TB cases were georeferenced by residence address using the methodology described in Magalhães et al 15 . Cases in which the residence was a prison or a hospital were excluded from the study.…”

“…The loss in the georeferencing of cases may have removed cases referring to the most deprived population from the study described in Magalhães et al 15 , and for TB in particular, it is expected that the effect on loss will be greater in the most deprived population. In addition, a study on deaths attributed to TB in the state of Rio de Janeiro per-Collaborations MAFM Magalhães worked on conception, design, analysis, data interpretation, article writing and critical review.…”

Infant mortality: surveillance, epidemiological characteristics and spatial distribution pattern in Recife, Brazil

“…The cartographic base of the addresses and the digital meshes used are available on the website of the Municipality of Recife (http://www.recife.pe.gov.br/ESIG/documentos/Informacao/InformacaoManual Arquivos.htm) and present a system of references of coordinates SIRGAS 2000/UTM zone 25S. Georeferencing consists of assigning geographic coordinates to addresses (Magalhães, Matos, & Medronho, 2014). For this, the following procedures were performed: adequacy of the MIS database; the georeferencing itself and the verification of its quality (the points identified as geometric center and approximate were manually checked); and the recovery of the initially undetected addresses (the points not found were manually entered).…”

Spatial analysis of the cure rate for tuberculosis in primary health care in the municipality of Rio de Janeiro between 2012 and 2014

“…Considering that TB is a disease strongly related to socioeconomic factors [13,14,15,16,17,18,19], as well as to access to health services[3, 9], it is necessary to evaluate the relationship of expanded PHC coverage in the cure of TB in the municipality.…”