Show simple item record

dc.contributor.authorGeng, Elvin H.
dc.contributor.authorGlidden, David V.
dc.contributor.authorBwana, Mwebesa Bosco
dc.contributor.authorMusinguzi, Nicolas
dc.contributor.authorEmenyonu, Nneka
dc.contributor.authorMuyindike, Winnie
dc.contributor.authorChristopoulos, Katerina A.
dc.contributor.authorNeilands., Torsten B.
dc.contributor.authorYiannoutso, Constantin T.
dc.contributor.authorDeeks, Steven G.
dc.contributor.authorBangsberg, David R.
dc.contributor.authorMartin, Jeffrey N.
dc.date.accessioned2022-01-13T07:39:32Z
dc.date.available2022-01-13T07:39:32Z
dc.date.issued2011-07-07
dc.identifier.citationGeng, E. H., Glidden, D. V., Bwana, M. B., Musinguzi, N., Emenyonu, N., Muyindike, W., ... & Martin, J. N. (2011). Retention in care and connection to care among HIV-infected patients on antiretroviral therapy in Africa: estimation via a sampling-based approach. PloS one, 6(7), e21797.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/1135
dc.description.abstractIntroduction: Current estimates of retention among HIV-infected patients on antiretroviral therapy (ART) in Africa consider patients who are lost to follow-up (LTF) as well as those who die shortly after their last clinic visit to be no longer in care and to represent limitations in access to care. Yet many lost patients may have ‘‘silently’’ transferred and deaths shortly after the last clinic visit more likely represent limitations in clinical care rather than access to care after initial linkage. Methods: We evaluated HIV-infected adults initiating ART from 1/1/2004 to 9/30/2007 at a clinic in rural Uganda. A representative sample of lost patients was tracked in the community to obtain updated information about care at other ART sites. Updated outcomes were incorporated with probability weights to obtain ‘‘corrected’’ estimates of retention for the entire clinic population. We used the competing risks approach to estimate ‘‘connection to care’’—the percentage of patients accessing care over time (including those who died while in care). Results: Among 3,628 patients, 829 became lost, 128 were tracked and in 111, updated information was obtained. Of 111, 79 (71%) were alive and 35/48 (73%) of patients interviewed in person were in care and on ART. Patient retention for the clinic population assuming lost patients were not in care was 82.3%, 68.9%, and 60.1% at 1, 2 and 3 years. Incorporating updated care information from the sample of lost patients increased estimates of patient retention to 85.8% to 90.9%, 78.9% to 86.2% and 75.8% to 84.7% at the same time points. Conclusions: Accounting for ‘‘silent transfers’’ and early deaths increased estimates of patient retention and connection to care substantially. Deaths soon after the last clinic visit (potentially reflecting limitations in clinical effectiveness) and disconnection from care among patient who were alive each accounted for approximately half of failures of retentionen_US
dc.description.sponsorshipNational Institutes of Healthen_US
dc.language.isoen_USen_US
dc.publisherPLOS ONEen_US
dc.subjectRetentionen_US
dc.subjectCare and Connectionen_US
dc.subjectHIVen_US
dc.subjectAntiretroviral Therapyen_US
dc.subjectEstimationen_US
dc.subjectSampling-Baseden_US
dc.titleRetention in Care and Connection to Care among HIVInfected Patients on Antiretroviral Therapy in Africa: Estimation via a Sampling-Based Approachen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • Research Articles [432]
    These are different research articles about different Scholars

Show simple item record