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Effects of financial incentives for treatment supporters on tuberculosis treatment outcomes in Swaziland: a pragmatic interventional study

Overview of attention for article published in Infectious Diseases of Poverty, June 2015
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Title
Effects of financial incentives for treatment supporters on tuberculosis treatment outcomes in Swaziland: a pragmatic interventional study
Published in
Infectious Diseases of Poverty, June 2015
DOI 10.1186/s40249-015-0059-8
Pubmed ID
Authors

Merav Kliner, Mamvura Canaan, Sifiso Zwide Ndwandwe, Fred Busulwa, William Welfare, Marty Richardson, John Walley, John Wright

Abstract

Swaziland has the highest national incidence of tuberculosis (TB) in the world, with treatment success rates well below the 85 % international target. Treatment support as part of comprehensive TB services is a core component of the Stop TB Strategy. This study investigated the effects of financial incentives for treatment supporters on TB treatment outcomes in Swaziland. This was a controlled study that compared treatment outcomes for patients with a treatment supporter who received or did not receive a financial incentive. The intervention group had a higher chance of treatment success as compared with the control group: 73 % (95 % confidence intervals [CIs] 66-80 %) versus 60 % (95 % CIs 57-64 %), respectively, p = 0.003. This improvement remained significant when treatment success rates were adjusted for differences in baseline characteristics, with the effect of incentivised treatment supporters on treatment outcomes having an odds ratio (OR) of 1.8. There was also a significant improvement in the death rate in the intervention group, as compared with the control group (10.6 versus 23.5 %, p = <0.001). Incentives provided to TB treatment supporters appear to significantly improve TB treatment outcomes. Incentivising treatment support may be appropriate as an effective addition to support and supervision measures (199 words).

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The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
India 1 2%
Brazil 1 2%
Unknown 57 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 21%
Researcher 9 15%
Student > Ph. D. Student 8 13%
Student > Bachelor 5 8%
Other 5 8%
Other 6 10%
Unknown 15 25%
Readers by discipline Count As %
Medicine and Dentistry 19 31%
Nursing and Health Professions 12 20%
Social Sciences 5 8%
Agricultural and Biological Sciences 3 5%
Computer Science 1 2%
Other 3 5%
Unknown 18 30%