Measuring Adherence to Antiretroviral Treatment in Resource-poor Settings: The Clinical Validity of Key Indicators

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Measuring Adherence to Antiretroviral Treatment in Resource-poor Settings: The Clinical Validity of Key Indicators

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Title: Measuring Adherence to Antiretroviral Treatment in Resource-poor Settings: The Clinical Validity of Key Indicators
Author: Pierre-Jacques, Marsha; Tadeg, Hailu; Gitau, Lillian; Ntaganira, Joseph; Balikuddembe, Robert; Ross-Degnan, Dennis; Zhang, Fang; Chalker, John C.; Wagner, Anita Katharina; INRUD IAA

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Citation: Ross-Degnan, Dennis, Marsha Pierre-Jacques, Fang Zhang, Hailu Tadeg, Lillian Gitau, Joseph Ntaganira, Robert Balikuddembe, John Chalker, Anita K. Wagner, and INRUD IAA. 2010. Measuring adherence to antiretroviral treatment in resource-poor settings: The clinical validity of key indicators. BMC Health Services Research 10: 42.
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Abstract: Background: Access to antiretroviral therapy has dramatically expanded in Africa in recent years, but there are no validated approaches to measure treatment adherence in these settings. Methods: In 16 health facilities, we observed a retrospective cohort of patients initiating antiretroviral therapy. We constructed eight indicators of adherence and visit attendance during the first 18 months of treatment from data in clinic and pharmacy records and attendance logs. We measured the correlation among these measures and assessed how well each predicted changes in weight and CD4 count. Results: We followed 488 patients; 63.5% had 100% coverage of medicines during follow-up; 2.7% experienced a 30-day gap in treatment; 72.6% self-reported perfect adherence in all clinic visits; and 19.9% missed multiple clinic visits. After six months of treatment, mean weight gain was 3.9 kg and mean increase in CD4 count was 138.1 cells/mm3. Dispensing-based adherence, self-reported adherence, and consistent visit attendance were highly correlated. The first two types of adherence measure predicted gains in weight and CD4 count; consistent visit attendance was associated only with weight gain. Conclusions: This study demonstrates that routine data in African health facilities can be used to monitor antiretroviral adherence at the patient and system level.
Published Version: doi:10.1186/1472-6963-10-42
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2834585/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:5343426

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