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Tuberculosis (TB) is a global public health problem in Nigeria, only 22 countries account for
80% of the TB burden in the world and Nigeria with estimated incidence of 311 cases per
100,000 populations occupies the fifth position among the twenty-two high TB burden countries.
The country uses the World Health Organization recommended directly observed treatment short
course (DOTS) strategy for its control. The DOTS strategy involves daily observation of the
patient swallowing their drug at least in the intensive phase of therapy. The health care workers
have strategic role to ensure accessibility of the services to patients, educate patients on
treatment including duration, prompt detection of patient who miss their daily drugs collection
and undertake tracing of the defaulter. The outcome of TB treatment is proxy indicators for the
assessments of the performance of the programme; poor treatment outcome implies a failing
control program. Adherence of the patients on the long duration of treatment is influenced by the
patient, the programme and the service providers. In plateau state, TB control using the DOTS
strategy started in 2001, the cured and default rates had remained below and above the expected
targets set by the National control programme respectively. There is lack of understanding of the
factors that determine the outcome of treatment in the state; furthermore, no study had been done
in the state on the factors that determine outcome of the TB treatment.
This study explored the factors that affect the outcome of treatment to help the control program
to plan and target intervention to specific problematic areas to improve the cure rates in the state
and to contribute to meeting the national targets for TB control in Nigeria.
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We conducted cross sectional studies, using checklist and structured questionnaires to extract
information on patients’ clinical, socio-demographic characteristics and knowledge on TB and
their association with the outcome of treatment. Self administered questionnaire was used to
extract information from the health workers on their de
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