| Full text | |
| Author(s): |
Yamamura, Mellina
;
de Freitas, Isabela Moreira
;
Neto, Marcelino Santo
;
Neto, Francisco Chiaravalloti
;
Paschoal Popolin, Marcela Antunes
;
Arroyo, Luiz Henrique
;
Bandeira Rodrigues, Ludmila Barbosa
;
Crispim, Juliane Almeida
;
Arcencio, Ricardo Alexandre
Total Authors: 9
|
| Document type: | Journal article |
| Source: | Revista de Saúde Pública; v. 50, 2016. |
| Web of Science Citations: | 1 |
| Abstract | |
ABSTRACT OBJECTIVE To 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. METHODS This 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 SaTScanTM were used in the analysis. RESULTS We 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. CONCLUSIONS The 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. (AU) | |
| FAPESP's process: | 12/20955-2 - Spatial distribution of tuberculosis hospitalizations and relation of them with social indicators in Ribeirão Preto - SP |
| Grantee: | Isabela Moreira de Freitas |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 13/03756-9 - Social inequities and tuberculosis hospitalizations in the municipality of Ribeirão Preto (SP) |
| Grantee: | Ricardo Alexandre Arcêncio |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 11/22834-5 - Mortality, hospitalizations for tuberculosis and underreporting of cases in Ribeirão Preto (SP) |
| Grantee: | Mellina Yamamura Calori |
| Support Opportunities: | Scholarships in Brazil - Doctorate |