OBJECTIVE: 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 treatment. Further research needs to investigate factors that can potentially cause this variation.
OBJECTIVE: 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 treatment. Further research needs to investigate factors that can potentially cause this variation.
Authors: M Makinen; H Waters; M Rauch; N Almagambetova; R Bitran; L Gilson; D McIntyre; S Pannarunothai; A L Prieto; G Ubilla; S Ram Journal: Bull World Health Organ Date: 2000 Impact factor: 9.408
Authors: Andrew F Auld; Ermane G Robin; Ray W Shiraishi; Jacob Dee; Mayer Antoine; Yrvel Desir; Gracia Desforges; Chris Delcher; Nirva Duval; Nadjy Joseph; Kesner Francois; Mark Griswold; Jean Wysler Domercant; Yves Anthony Patrice Joseph; Joelle Deas Van Onacker; Varough Deyde; David W Lowrance Journal: Am J Trop Med Hyg Date: 2017-10 Impact factor: 2.345
Authors: Margaret L McNairy; Patrice Joseph; Michelle Unterbrink; Stanislas Galbaud; Jean-Edouard Mathon; Vanessa Rivera; Deanna Jannat-Khah; Lindsey Reif; Serena P Koenig; Jean Wysler Domercant; Warren Johnson; Daniel W Fitzgerald; Jean W Pape Journal: PLoS One Date: 2017-04-24 Impact factor: 3.240