Show simple item record

dc.contributor.authorLongenecker, Chris T.
dc.contributor.authorMorris, Stephen R.
dc.contributor.authorAliku, Twalib O.
dc.contributor.authorBeaton, Andrea
dc.contributor.authorCosta, Marco A.
dc.contributor.authorKamya, Moses R.
dc.contributor.authorKityo, Cissy
dc.contributor.authorLwabi, Peter
dc.contributor.authorMirembe, Grace
dc.contributor.authorNampijja, Dorah
dc.contributor.authorRwebembera, Joselyn
dc.contributor.authorSable, Craig
dc.contributor.authorSalata, Robert A.
dc.contributor.authorScheel, Amy
dc.contributor.authorSimon, Daniel I.
dc.contributor.authorSsinabulya, Isaac
dc.contributor.authorOkello, Emmy
dc.date.accessioned2022-01-11T12:15:58Z
dc.date.available2022-01-11T12:15:58Z
dc.date.issued2017-10-17
dc.identifier.citationLongenecker, C. T., Morris, S. R., Aliku, T. O., Beaton, A., Costa, M. A., Kamya, M. R., ... & Okello, E. (2017). Rheumatic heart disease treatment cascade in Uganda. Circulation: Cardiovascular Quality and Outcomes, 10(11), e004037.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/1126
dc.description.abstractBackground—Rheumatic heart disease (RHD) is a leading cause of premature death and disability in low-income countries; however, few receive optimal benzathine penicillin G (BPG) therapy to prevent disease progression. We aimed to comprehensively describe the treatment cascade for RHD in Uganda to identify appropriate targets for intervention. Methods and Results Using data from the Uganda RHD Registry (n=1504), we identified the proportion of patients in the following care categories: (1) diagnosed and alive as of June 1, 2016; (2) retained in care; (3) appropriately prescribed BPG; and (4) optimally adherent to BPG (>80% of prescribed doses). We used logistic regression to investigate factors associated with retention and optimal adherence. Overall, median (interquartile range) age was 23 (15–38) years, 69% were women, and 82% had clinical RHD. Median follow-up time was 2.4 (0.9–4.0) years. Retention in care was the most significant barrier to achieving optimal BPG adherence with only 56.9% (95% confidence interval, 54.1%–59.7%) of living subjects having attended clinic in the prior 56 weeks. Among those retained in care, however, we observed high rates of BPG prescription (91.6%; 95% confidence interval, 89.1%–93.5%) and optimal adherence (91.4%; 95% confidence interval, 88.7–93.5). Younger age, latent disease status, and access to care at a regional center were the strongest independent predictors of retention and optimal adherence. Conclusions Our study suggests that improving retention in care—possibly by decentralizing RHD services—would have the greatest impact on uptake of antibiotic prophylaxis among patients with RHD in Uganda. (Circ Cardiovasc Qual Outcomes. 2017; 10:e004037. DOI: 10.1161/CIRCOUTCOMES.117.004037.)en_US
dc.language.isoen_USen_US
dc.publisherCase Western Reserve University School of Medicineen_US
dc.subjectadherenceen_US
dc.subjectfollow-up studiesen_US
dc.subjectHIVen_US
dc.subjecthumansen_US
dc.subjectpovertyen_US
dc.subjectrheumatic heart diseaseen_US
dc.titleRheumatic Heart Disease Treatment Cascade in Ugandaen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record