Jornal de Doenças Infecciosas e Medicina Preventiva

Jornal de Doenças Infecciosas e Medicina Preventiva
Acesso livre

ISSN: 2329-8731

Abstrato

Treatment Outcome of Tuberculosis Patients at Debre Tabor General Hospital, Amhara, Northwest Ethiopia

Tesfaye Andualem*, Wubet Taklual

Background: Tuberculosis is still a global health problem. Especially, in developing countries where overcrowded and lack of awareness for transmission of the disease is existed. According to WHO, to monitor the effectiveness of tuberculosis prevention and control program, assessing tuberculosis outcome is important. Therefore, the aim of this study was to determine treatment outcome of tuberculosis patients in Debre Tabor general hospital, Northwest Ethiopia, 2019.

Materials: A retrospective cross sectional study was carried out among 455 TB cases in Debre Tabor general hospital which was reported between 2016-2018. Data were entered and analyzed using SPSS version 22 software. Binary and multivariable logistic regression was done to identify predictors of TB treatment outcome. Statistical significance was declared at 95%CI.

Result: Out of 455 total TB patients, 357 (78.5), 57 (12.5), 16 (3.5), 4 (0.9), and 21 (4.6) were treatment completed, cured, death, treatment failure, and transfer out, respectively. TB treatment success rate was 89.7%. In this study the odds of TB treatment success rate was found to be higher among the age groups of 15-44 yrs old (AOR=5.49, 95%CI: (1.53-19.70)), being urban dweller (AOR=4.16, 95%CI: (1.89-9.11)), diagnosed TB for the first time (AOR=5.74, 95%CI: (2.17-15.22)). Whereas, those participants who had TB/HIV co-infection were found to be poor TB treatment outcome than the counterpart (AOR=0.22, 95%CI: (0.08-0.60)).

Conclusion: In this study TB treatment success rate was satisfactory. Age groups of 15-44 yrs old, urban dweller, diagnosed TB for the first time, and TB/HIV co-infection were the independent predictors of TB treatment success rate.

Isenção de responsabilidade: Este resumo foi traduzido com recurso a ferramentas de inteligência artificial e ainda não foi revisto ou verificado.
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