Issue |
E3S Web Conf.
Volume 448, 2023
The 8th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2023)
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Article Number | 05002 | |
Number of page(s) | 7 | |
Section | Epidemiology | |
DOI | https://doi.org/10.1051/e3sconf/202344805002 | |
Published online | 17 November 2023 |
Early Detection Information System for Delayed Sputum Conversion Risk Factors
1 Department of Public Health, Faculty of Medicine, University of Lampung, Jl. Soematri Brojonegoro No. 1 Bandar Lampung 35145, Indonesia
2 Department of Informatics Engineering, Faculty of Engineering, University of Lampung, Jl. Soemantri Brojonegoro No. 1 Bandar Lampung 35145, Indonesia
3 Department of Pulmonology, Faculty of Medicine, University of Lampung, Jl. Soemantri Brojonegoro No. 1 Bandar Lampung 35145, Indonesia
4 Department of Civil Engineering, Faculty of Engineering, University of Lampung, Jl. Soemantri Brojonegoro No. 1 Bandar Lampung 35145, Indonesia
* Corresponding author: dyah.wulan@fk.unila.ac.id
Key indicators of tuberculosis control programs, two of them are success and cure rate. Moreover, to measure response to TB treatment, sputum conversion in the first two months is widely used. Low social determinants, presence of co-morbidities, medication nonadherence are risk factors that usually late identified and caused sputum conversion delay. This research aims to design an innovation early-detection system for sputum conversion risk factors in TB patients supported by an expert system. This research is operational research, involving all head of TB programs and head of primary health centres in Bandar Lampung, Indonesia. Research variables consist of social determinants and risk factors of sputum conversion delay. Method and data collection refer to first and second stage of system development life cycle. Results of focus group discussion obtain input and output system design. Input system design consists of risk factors list and yes or no answers choices based on TB patient’s examination. Meanwhile, output system design are expert recommendations based on input system. This information system provides both immediate detection as well as immediate expert recommendations, which will finally increase the chances of sputum conversion in the first two months of TB patient’s treatment.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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