Modeling the impact of risk factors affecting TB treatment.
| dc.contributor.author | Tsuro, Urgent | |
| dc.date.accessioned | 2016-08-24T09:41:36Z | |
| dc.date.available | 2016-08-24T09:41:36Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | The Tuberculosis infection rate has been generally escalating due to poor health conditions in the Gweru district of Zimbabwe. The study therefore seeks to identify the risk factors that affect TB treatment in the Gweru district. A cross sectional study was carried out in which a questionnaire was employed for data collection on 113 respondents. A binary logistic regression model was employed for data analysis. A total of 98 TB patients were interviewed: [50 respondents (44.0%) had Multi-drug resistant Tuberculosis and 63 respondents (56.0%) had general Tuberculosis). Before being enrolled into the study, an informed consent form was given to each of the participants. The data was then put into excel and later transferred to SPSS for analysis. Out of the 14 potential risk factors of TB treatment, only 6 variables (: side effects, gender, alcohol use, HIV status, smoking during the treatment period and having been pre-exposed to TB drugs) were statistically significant in their association with treatment failure. | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/20.500.11837/403 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | University of Fort Hare | en_ZA |
| dc.subject | Tuberculosis, risk factor. | en_ZA |
| dc.title | Modeling the impact of risk factors affecting TB treatment. | en_ZA |
| dc.type | Thesis | en_ZA |
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