Issue |
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
|
|
---|---|---|
Article Number | 16002 | |
Number of page(s) | 3 | |
Section | Epidemiology Related to Disease and Health Event Prevention and Control | |
DOI | https://doi.org/10.1051/e3sconf/201912516002 | |
Published online | 28 October 2019 |
Analysis of TB-DM Collaboration Program at the Hospital in Semarang City, Indonesia
1 Doctoral Program of Public Health, Public Health Faculty, Diponegoro University, Semarang - Indonesia
2 Department of Epidemiology, Public Health Faculty, Diponegoro University, Semarang – Indonesia
3 Department of Internal Medicine, Faculty of Medicine, Diponegoro University, Semarang - Indonesia
4 Central Java Provincial Health office, Semarang - Indonesia
5 Department of Health Promotion, Public Health Faculty, Diponegoro University, Semarang - Indonesia
* Corresponding author: sulistiyani@lecturer.undip.ac.id
Indonesia contributes to 45% of TB cases in the world. Currently, Diabetes mellitus (DM) case is increasing. DM may worsen TB. The risk of developing latent into active TB increases with the presence of DM. Treatment failure in TB patients with DM is more frequent than non-DM. The aim of this study was to analyze of TB DM collaboration program at the one hospital in Semarang City. This was a qualitative study with content analysis. Informants consisted of internists, nurses, patients. This study showed there was a gap between technical guidance from minister of health and implementation of DM screening from TB patient. Besides, human resources factors also contribute to that gap.
Key words: TB-DM / Hospital / Collaboration / Program
© The Authors, published by EDP Sciences, 2019
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.