ArticleRevista de saude publica2016
Spatial analysis of avoidable hospitalizations due to tuberculosis in Ribeirao Preto, SP, Brazil (2006-2012).
Article in Revista de saude publica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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11 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.BMC medicine · 2018Pooled it
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- Spatio-temporal analysis of tuberculosis and its correlation with the Living Conditions Index in an elderly population in Brazil.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2022Article
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- Impact of the GeneXpert® MTB/RIF rapid molecular test on tuberculosis detection: temporal trends and vulnerable territories.Revista latino-americana de enfermagem · 2021Article
- Temporal trend of tuberculosis incidence and its spatial distribution in Macapá - Amapá.Revista de saude publica · 2021Article
- Spatiotemporal trends of Chagas disease-related mortality in the Northeast of Brazil, 2007-2017.Parasitology · 2020Article
- TB-HIV co-infection: spatial and temporal distribution in the largest Brazilian metropolis.Revista de saude publica · 2020Article
- Measuring and improving the quality of tuberculosis care: A framework and implications from theJournal of clinical tuberculosis and other mycobacterial diseases · 2019Article
- Analysis of anti-tuberculosis drug resistance and sociodemographic and clinical aspects of patients admitted in a referral hospital.Einstein (Sao Paulo, Brazil) · 2019Article
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo describe the spatial distribution of avoidable hospitalizations due to tuberculosis in the municipality of Ribeirao Preto, SP, Brazil, and to identify spatial and space-time clusters for the risk of occurrence of these events.
methodsThis is a descriptive, ecological study that considered the hospitalizations records of the Hospital Information System of residents of Ribeirao Preto, SP, Southeastern Brazil, from 2006 to 2012. Only the cases with recorded addresses were considered for the spatial analyses, and they were also geocoded. We resorted to Kernel density estimation to identify the densest areas, local empirical Bayes rate as the method for smoothing the incidence rates of hospital admissions, and scan statistic for identifying clusters of risk. Softwares ArcGis 10.2, TerraView 4.2.2, and SaTScan™ were used in the analysis.
resultsWe identified 169 hospitalizations due to tuberculosis. Most were of men (n = 134; 79.2%), averagely aged 48 years (SD = 16.2). The predominant clinical form was the pulmonary one, which was confirmed through a microscopic examination of expectorated sputum (n = 66; 39.0%). We geocoded 159 cases (94.0%). We observed a non-random spatial distribution of avoidable hospitalizations due to tuberculosis concentrated in the northern and western regions of the municipality. Through the scan statistic, three spatial clusters for risk of hospitalizations due to tuberculosis were identified, one of them in the northern region of the municipality (relative risk [RR] = 3.4; 95%CI 2.7-4,4); the second in the central region, where there is a prison unit (RR = 28.6; 95%CI 22.4-36.6); and the last one in the southern region, and area of protection for hospitalizations (RR = 0.2; 95%CI 0.2-0.3). We did not identify any space-time clusters.
conclusionsThe investigation showed priority areas for the control and surveillance of tuberculosis, as well as the profile of the affected population, which shows important aspects to be considered in terms of management and organization of health care services targeting effectiveness in primary health care.
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