Wardani, Dyah Wulan S.R. (2011) Prediction Model of Tuberculosis Incidence Probability Based on Determinant Variables in the City of Bandar Lampung. In: The First International Conference on Medicine and Health Sciences (ICMHS) 2011, November 29th - December 1st 2011, Soedirman University.

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Tuberculosis (TB) has been considered as one of health problems in Bandar Lampung, since its incidence number has been increasing although conversion and cure rate has been more than 90%. Furthermore, case detection rate (CDR) at primary health centre across the city are vary from one to another. List of literatures showed that TB’s incidence is significantly affected by number of TB’s determinant variables. Those are environment, behavior, malnutrition, HIV/AIDS and health service. The main objective of this research is to analyze those determinant variables and use them to provide prediction model of TB’s incidence probability. This research is a case control study which conducted in Rajabasa Indah and Panjang primary health centre. Number of respondents of this research is divided into case group and control group. Research survey was conducted to collect primary data of environment and behavior (knowledge, attitude and practice). Data were analyzed using bivariate and multivariate logistic regression. The results showed that probability model of TB probability incidence is log (p/1-p)= -2,323 + 1,094 attitude +1,449 practice + 0,711 environment. The probability would increase if there were no influence between attitude, practice and environment. It can be concluded that the model can be used to decrease TB’s incidence. Key words: tuberculosis, prediction model, determinant variables

Item Type: Conference or Workshop Item (Paper)
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Fakultas Kedokteran (FK) > Prodi Pendidikan Dokter
Depositing User: Dr. Dyah Wulan S.R. Wardani
Date Deposited: 20 Feb 2017 08:52
Last Modified: 20 Feb 2017 08:52
URI: http://repository.lppm.unila.ac.id/id/eprint/1435

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