Fauzia, Zalva Hanny (2024) Predictive model for success indicators in pulmonary tuberculosis treatment in Malang City (analysis of SITB data 2020-2022) / Zalva Hanny Fauzia</p>. Diploma thesis, Universitas Negeri Malang.
Full text not available from this repository.Abstract
p Tuberculosis (TB) remains a global and national health concern. Indonesia has set a target to eliminate TB by 2050 and accelerate its eradication by 2030. However the treatment success rate in Indonesia is still below the target established by the Ministry of Health ( lt 90%). This study aims to predict the success indicators of pulmonary TB treatment in Malang City through secondary data modeling using Tuberculosis Information System (SITB) data from 2020 to 2022. The study analyzed a sample of 1 925 TB patients in Malang City. The dependent variable was treatment outcomes while the independent variables included age gender employment status treatment history and comorbid conditions such as HIV and diabetes mellitus (DM). A quantitative approach was employed beginning with descriptive analysis using frequency distribution followed by bivariate association analysis using logistic regression and concluding with multivariate analysis through a predictive logistic regression model. The findings revealed that treatment success was influenced by several variables including age (OR 0.5 P-value 0.001) employment status (OR 1.4 P-value 0.002) and HIV status (OR 3.8 P-value 0.001). HIV status emerged as the most significant independent variable. The final logistic regression model produced the equation Y -2.613 (-0.622 x age) (0.371 x employment status) (1.344 x HIV status). /p
| Item Type: | Thesis (Diploma) |
|---|---|
| Divisions: | Fakultas Ilmu Keolahragaan (FIK) > Departemen Ilmu Kesehatan Masyarakat (IKM) > S1 Ilmu Kesehatan Masyarakat |
| Depositing User: | library UM |
| Date Deposited: | 06 Jan 2024 04:29 |
| Last Modified: | 09 Sep 2024 03:00 |
| URI: | http://repository.um.ac.id/id/eprint/400980 |
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