Study about Tuberculosis in Thailand: An approach to Treatment, GIS and Sichon Model

Abstract

In this study, we seek to identify geographical areas where ongoing tuberculosis epidemiological characteristics is occurring by linking Geographic Information Systems (GIS) technology in Thailand. In addition, we seek to assess how the directly observed treatment short-course (DOTS) program improved new tuberculosis diagnosis and treatment successes in Sichon District, Nakhon Si Thammarat province, Thailand from 2014 to 2016. The assessment program included seven indicators, and the results revealed that 73 new cases of tuberculosis were admitted for treatment on average every year, with rates of risk group screening findings of 4.28, 5.23, and 6.04 %, respectively. Patients who come to the hospital for diagnosis make up most of the demographic. However, only a minor proportion of patients are identified through community-based primary screening. In the years 2013-2016, the mortality rate of TB cases is expected to rise by 10.25 %, 4.25 %, and 5.56 %, respectively. The elderly and HIV-positive patients comprise most of the TB mortality population. When completing the DOTS program at a hospital, however, the rate of success has fallen short of the targets. Furthermore, the screening technique excludes the target group. As a result, people suffering tuberculosis are reported to be slower and more susceptible to symptoms. As a result, researchers advise that the DOTS program be supported by enhancing treatment follow-up to improve the effectiveness of TB treatment and collaboration with health care worker (HCW).