One dollar incentive improves tuberculosis treatment outcomes in programmatic settings in rural Uganda

Autor: Nyirazihawe Isabella, Christine Sekaggya-Wiltshire, Rebecca Najjuuko, Bright Twinomugisha, Bridget Nakazibwe, Sylvia Nassozi, Irene Andia-Biraro, Joseph Baruch Baluku, Elizabeth Ndungu, Winceslaus Katagira, Godwin Anguzu, Harriet Mayanja-Kizza, Sharon Namiiro, Dathan M. Byonanebye, Joseph Muchiri
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports
ISSN: 2045-2322
Popis: The study aim was to determine the association of a one United States dollar (USD) dollar incentive and tuberculosis (TB) treatment outcomes among people with TB receiving treatment at a rural hospital in Uganda under programmatic settings. We conducted a quasi-experiment in which people with TB were randomised (1:1 ratio) to receive either a one USD incentive at months 0, 2, 5 and 6 (Dollar arm) or routine care (Routine arm). A second control group (Retrospective controls) consisted of participants who had a treatment outcome in the preceding 6 months. Treatment outcomes were compared between the intervention and control groups using Pearson’s chi-square and Fisher’s exact tests. The association between the incentive and treatment outcomes was determined using Poisson regression analysis with robust variances. Between November 2018 and October 2019, we enrolled 180 participants (60 in the Dollar arm and 120 in the Control group). TB cure (33.3% vs. 20.8%, p = 0.068) and treatment success (70.0% vs. 59.2% p = 0.156) were higher in the Dollar arm than the Control group, while loss-to-follow-up was lower in the Dollar arm (10.0% vs. 20.8% p = 0.070). Participants in the Dollar arm were more likely to be cured (adjusted incidence rate ratio (aIRR): 1.59, 95% CI 1.04–2.44, p = 0.032) and less likely to be lost to follow-up (aIRR: 0.44, 95% CI 0.20–0.96, p = 0.040). A one-dollar incentive was associated with higher TB cure and lower loss-to-follow-up among people with TB in rural Uganda.
Databáze: OpenAIRE
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