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Completeness of tuberculosis information system data from prisoners in the state Rio Grande do Sul, Brazil
Caroline Busatto1, Carla Adriane Jarczewski2, Renata Maria Dotta3
1Faculdade de Medicina, Universidade Federal do Rio Grande. Campus da Saúde - Área Acadêmica Prof. Newton Azevedo. R. Visconde de Paranaguá 102, sala 411 - Secretaria Geral da FaMed. 96203-900 Rio Grande RS Brasil. caroline-busatto@hotmail.com.
Ciencia & Saude Coletiva
|November 16, 2022
Summary
Tuberculosis (TB) notification completeness in prisoners in Rio Grande do Sul was generally high, though data on directly observed treatment (DOT) and sixth-month smear results were less complete. This impacts the overall quality of TB surveillance data.
Area of Science:
- Public Health
- Epidemiology
- Infectious Diseases
Background:
- Tuberculosis (TB) presents a significant health challenge, particularly within correctional facilities.
- Accurate and complete data are crucial for effective TB surveillance and control programs.
Purpose of the Study:
- To evaluate the completeness of tuberculosis (TB) case notifications among prisoners in Rio Grande do Sul, Brazil.
- To assess data quality in the Notifiable Disease Information System (SINAN) for TB cases in the prison population.
Main Methods:
- A descriptive, cross-sectional study analyzing prisoner TB notifications in SINAN from January 2014 to November 2018.
- Evaluation of the completeness of key variables including demographics, diagnostic tests, treatment, and outcome data.
Main Results:
- Prison primary care teams (eAPP) reported 52.9% of TB cases, while other facilities reported 47.1%.
- Approximately 80% of variables demonstrated high completeness (75.1%-100%).
- Completeness for directly observed treatment (DOT) and sixth-month smear variables was lower (50.1%-75%).
Conclusions:
- While TB case notification in SINAN is generally robust, specific data gaps exist for prisoner populations.
- Incomplete data on DOT and smear results can hinder comprehensive understanding and management of TB in prisons.
- Improving data completeness is essential for enhancing the quality of TB surveillance and public health interventions in correctional settings.
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