Dataset Information

Identifying socioeconomic, epidemiological and operational scenarios for tuberculosis control in Brazil: an ecological study.

ABSTRACT:

Objectives

To identify scenarios based on socioeconomic, epidemiological and operational healthcare factors associated with tuberculosis incidence in Brazil.

Design

Ecological study.

Settings

The study was based on new patients with tuberculosis and epidemiological/operational variables of the disease from the Brazilian National Information System for Notifiable Diseases and the Mortality Information System. We also analysed socioeconomic and demographic variables.

Participants

The units of analysis were the Brazilian municipalities, which in 2015 numbered 5570 but 5 were excluded due to the absence of socioeconomic information.

Primary outcome

Tuberculosis incidence rate in 2015.

Data analysis

We evaluated as independent variables the socioeconomic (2010), epidemiological and operational healthcare indicators of tuberculosis (2014 or 2015) using negative binomial regression. Municipalities were clustered by the k-means method considering the variables identified in multiple regression models.

Results

We identified two clusters according to socioeconomic variables associated with the tuberculosis incidence rate (unemployment rate and household crowding): a higher socioeconomic scenario (n=3482 municipalities) with a mean tuberculosis incidence rate of 16.3/100?000 population and a lower socioeconomic scenario (2083 municipalities) with a mean tuberculosis incidence rate of 22.1/100?000 population. In a second stage of clusterisation, we defined four subgroups in each of the socioeconomic scenarios using epidemiological and operational variables such as tuberculosis mortality rate, AIDS case detection rate and proportion of vulnerable population among patients with tuberculosis. Some of the subscenarios identified were characterised by fragility in their information systems, while others were characterised by the concentration of tuberculosis cases in key populations.

Conclusion

Clustering municipalities in scenarios allowed us to classify them according to the socioeconomic, epidemiological and operational variables associated with tuberculosis risk. This classification can support targeted evidence-based decisions such as monitoring data quality for improving the information system or establishing integrative social protective policies for key populations.

SUBMITTER: Pelissari DM

PROVIDER: S-EPMC6009496 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Publications

Identifying socioeconomic, epidemiological and operational scenarios for tuberculosis control in Brazil: an ecological study.

Pelissari Daniele Maria DM Rocha Marli Souza MS Bartholomay Patricia P Sanchez Mauro Niskier MN Duarte Elisabeth Carmen EC Arakaki-Sanchez Denise D Dantas Cíntia Oliveira CO Jacobs Marina Gasino MG Andrade Kleydson Bonfim KB Codenotti Stefano Barbosa SB Andrade Elaine Silva Nascimento ESN Araújo Wildo Navegantes de WN Costa Fernanda Dockhorn FD Ramalho Walter Massa WM Diaz-Quijano Fredi Alexander FA

BMJ open 20180606 6

<h4>Objectives</h4>To identify scenarios based on socioeconomic, epidemiological and operational healthcare factors associated with tuberculosis incidence in Brazil.<h4>Design</h4>Ecological study.<h4>Settings</h4>The study was based on new patients with tuberculosis and epidemiological/operational variables of the disease from the Brazilian National Information System for Notifiable Diseases and the Mortality Information System. We also analysed socioeconomic and demographic variables.<h4>Parti ...[more]

PMID: 29880560

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Dataset Information

Identifying socioeconomic, epidemiological and operational scenarios for tuberculosis control in Brazil: an ecological study.

Objectives

Design

Settings

Participants

Primary outcome

Data analysis

Results

Conclusion

Publications

Identifying socioeconomic, epidemiological and operational scenarios for tuberculosis control in Brazil: an ecological study.

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