1. Predictors of attrition from care at 2 years in a prospective cohort of HIV-infected adults in Tigray, Ethiopia
- Author
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Michela Campagnoli, S. Lucattini, Paola De Castro, Marco Mirra, Eskedar Tadesse, Teshome Abegaz, Paola Tatarelli, Raffaella Bucciardini, Loko Abraham, Katherina Pugliese, Micheal Berhe, Roberta Terlizzi, Hagos Godefay, Stefano Vella, Andrea Binelli, Luca Fucili, Vincenzo Fragola, Massimiliano Di Gregorio, Teame Zegeye, and Atakilt Halifom
- Subjects
Gerontology ,attrition ,antiretroviral treatment ,Art therapy ,030231 tropical medicine ,Psychological intervention ,03 medical and health sciences ,0302 clinical medicine ,Medicine ,Attrition ,030212 general & internal medicine ,Prospective cohort study ,loss-to follow-up ,retention in care ,Proportional hazards model ,business.industry ,Health Policy ,Research ,Public Health, Environmental and Occupational Health ,Retention in care ,medicine.disease ,mortality ,Cohort ,business ,Demography ,Cohort study - Abstract
Introduction Ethiopia has experienced rapid expansion of antiretroviral therapy (ART). However, as long-term retention in ART therapy is key for ART effectiveness, determinants of attrition need to be identified so appropriate interventions can be designed. Methods We used data from the ‘Cohort of African people Starting Antiretroviral therapy’ (CASA) project, a prospective study of a cohort of HIV-infected patients who started ART in seven health facilities (HFs). We analysed the data of patients who had started first-line ART between January 2013 and December 2014. The Kaplan–Meier method was used to estimate the probability of retention at different time points. The Cox proportional hazards model was used to identify factors associated with attrition. Results A total of 1198 patients were included in the study. Kaplan–Meier estimates of retention in care were 83.9%, 82.1% and 79.8% at 12, 18 and 24 months after starting ART, respectively. Attrition was mainly due to loss to follow-up, transferred-out patients and documented mortality. A multivariate Cox proportional hazard model showed that male sex, CD4 count
- Published
- 2017