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dc.contributor.authorUnge, Christian
dc.contributor.authorSo¨derga˚rd, Bjo¨ rn
dc.contributor.authorMarrone, Gaetano
dc.contributor.authorThorson, Anna
dc.contributor.authorLukhwaro, Abigael
dc.contributor.authorCarter, Jane
dc.contributor.authorIlako, Festus
dc.contributor.authorEkstro¨ m, Anna Mia
dc.date.accessioned2021-09-01T21:23:55Z
dc.date.available2021-09-01T21:23:55Z
dc.date.issued10/25/2010
dc.identifier.citationn: Unge C, So¨derga˚rd B, Marrone G, Thorson A, Lukhwaro A, et al. (2010) Long-Term Adherence to Antiretroviral Treatment and Program Drop-Out in a High-Risk Urban Setting in Sub-Saharan Africa: A Prospective Cohort Study. PLoS ONE 5(10): e13613. doi:10.1371/journal.pone.0013613en_US
dc.identifier.otherDOI:10.1371/journal.pmed.0040298
dc.identifier.urihttp://repository.amref.org/handle/123456789/215
dc.description: 2010 Unge et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are crediteden_US
dc.description.abstractBackground: Seventy percent of urban populations in sub-Saharan Africa live in slums. Sustaining HIV patients in these high-risk and highly mobile settings is a major future challenge. This study seeks to assess program retention and to find determinants for low adherence to antiretroviral treatment (ART) and drop-out from an established HIV/ART program in Kibera, Nairobi, one of Africa’s largest informal urban settlements. Methods and Findings: A prospective open cohort study of 800 patients was performed at the African Medical Research Foundation (AMREF) clinic in the Kibera slum. Adherence to ART and drop-out from the ART program were independent outcomes. Two different adherence measures were used: (1) ‘‘dose adherence’’ (the proportion of a prescribed dose taken over the past 4 days) and (2) ‘‘adherence index’’ (based on three adherence questions covering dosing, timing and special instructions). Drop-out from the program was calculated based on clinic appointment dates and number of prescribed doses, and a patient was defined as being lost to follow-up if over 90 days had expired since the last prescribed dose. More than one third of patients were non-adherent when all three aspects of adherence – dosing, timing and special instructions – were taken into account. Multivariate logistic regression revealed that not disclosing HIV status, having a low level of education, living below the poverty limit (US$ 2/day) and not having a treatment buddy were significant predictors for nonadherence. Additionally, one quarter of patients dropped out for more than 90 days after the last prescribed ART dose. Not having a treatment buddy was associated with increased risk for drop-out (hazard ratio 1.4, 95% CI = 1.0–1.9). Conclusion: These findings point to the dilemma of trying to sustain a growing number of people on life-long ART in conditions where prevailing stigma, poverty and food shortages threatens the long-term success of HIV treatment.en_US
dc.language.isoenen_US
dc.publisherPLoS ONEen_US
dc.titleLong-Term Adherence to Antiretroviral Treatment and Program Drop-out in a High-Risk Urban Setting in Sub-Saharan Africa: A Prospective Cohort Studyen_US
dc.typeArticle, Journalen_US


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