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dc.contributor.authorMasupe, Tiny
dc.contributor.authorFarahani, Mansour
dc.contributor.authorPrice, Natalie
dc.contributor.authorEl-Halabi, Shenaaz
dc.contributor.authorMlaudzi, Naledi
dc.contributor.authorKeapoletswe, Koona
dc.contributor.authorLebelonyane, Refeletswe
dc.contributor.authorFetogang, Ernest Benny
dc.contributor.authorChebani, Tony
dc.contributor.authorKebaabetswe, Poloko
dc.contributor.authorGabaake, Keba
dc.contributor.authorAuld, Andrew
dc.contributor.authorNkomazana, Oathokwa
dc.contributor.authorMarlink, Richard
dc.date.accessioned2018-11-23T12:44:15Z
dc.date.available2018-11-23T12:44:15Z
dc.date.issued2016-01
dc.identifier.citationMasupe, T. et al. (2016) Variation in attrition at subnational level: review of the Botswana National HIV/AIDS Treatment (Masa) programme data (2002–2013). Tropical Medicine and International Health, Vol. 21, No. 1, pp. 18–27en_US
dc.identifier.issn1360-2276
dc.identifier.urihttp://hdl.handle.net/10311/1846
dc.description.abstractObjective: To evaluate the variation in all-cause attrition [mortality and loss to follow-up (LTFU)] among HIV-infected individuals in Botswana by health district during the rapid and massive scale-up of the National Treatment Program. Methods: Analysis of routinely collected longitudinal data from 226 030 patients who received ART through the Botswana National HIV/AIDS Treatment Program across all 24 health districts from 2002 to 2013. A time-to-event analysis was used to measure crude mortality and loss to follow-up rates (LTFU). A marginal structural model was used to evaluate mortality and LTFU rates by district over time, adjusted for individual-level risk factors (e.g. age, gender, baseline CD4, year of treatment initiation and antiretroviral regimen). Results: Mortality rates in the districts ranged from the lowest 1.0 (95% CI 0.9–1.1) in Selibe- Phikwe, to the highest 5.0 (95% CI 4.0–6.1), in Mabutsane. There was a wide range of overall LTFU across districts, including rates as low as 4.6 (95% CI 4.4–4.9) losses per 100 person-years in Ngamiland, and 5.9 (95% CI 5.6–6.2) losses per 100 person-years in South East district, to rates as high as 25.4 (95% CI 23.08–27.89) losses per 100 person-years in Mabutsane and 46.3 (95% CI 43.48–49.23) losses per 100 person-years in Okavango. Even when known risk factors for mortality and LTFU were adjusted for, district was a significant predictor of both mortality and LTFU rates. Conclusion: We found statistically significant variation in attrition (mortality and LTFU) and data quality among districts. These findings suggest that district-level contextual factors affect retention in ttreatment. Further research needs to investigate factors that can potentially cause this variation.en_US
dc.language.isoenen_US
dc.publisherWiley, https://www.wiley.com/en-usen_US
dc.subjectHIVen_US
dc.subjectattritionen_US
dc.subjectantiretroviral therapyen_US
dc.subjectmarginal structural modelen_US
dc.subjectmultilevelen_US
dc.subjectBotswanaen_US
dc.titleVariation in attrition at subnational level: review of the Botswana National HIV/AIDS Treatment (Masa) programme data (2002–2013)en_US
dc.typePublished Articleen_US
dc.linkhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834839/en_US


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