RESUMO
BACKGROUND: The introduction of universal test and treat (UTT) strategy has demonstrated a reduction in attrition in some low-resource settings. UTT was introduced in Ethiopia in 2016. However, there is a paucity of information regarding the magnitude and predictors of attrition from HIV treatment in Ethiopia. This study aims to assess the incidence and predictors of attrition from HIV treatment among adults living with HIV (PLHIV) in high-caseload facilities following the implementation of universal test and treat strategy in Ethiopia from March 2019 to June 2020. METHODS: A prospective cohort of individuals in HIV care from 39 high-caseload facilities in Oromia, Amhara, Tigray, Addis Ababa and Dire Dawa regions of Ethiopia was conducted for 12 months. Participants were adults aged 15 year and older who were first testers recruited for 3 months from March to June 2019. Subsequent follow-up was for 12 months, with data collected on sociodemographic and clinical conditions at baseline, 6 and 12 months and attrition at 6 and 12 months. We defined attrition as discontinuation from follow-up care due to loss to follow-up, dropout or death. Data were collected using Open Data Kit at field level and aggregated centrally. Kaplan-Meier survival analysis was employed to assess survival probability to the time of attrition from treatment. The Cox proportional hazards regression model was used to measure association of baseline predictor variables with the proportion of antiretroviral therapy (ART) patients retained in ART during the follow up period. RESULTS: The overall incidence rate for attrition from HIV treatment among the study participants during 12 months of follow-up was 5.02 cases per 1000 person-weeks [95% confidence interval (CI): 4.44-5.68 per 1000 person-weeks]. Study participants from health facilities in Oromia and Addis Ababa/Dire Dawa had 68% and 51% higher risk of attrition from HIV treatment compared with participants from the Amhara region, respectively [adjusted hazard ratio (AHR) = 1.68, 95% CI: 1.22-2.32 and AHR = 1.51, 95% CI: 1.05-2.17, respectively]. Participants who did not have a child had a 44% higher risk of attrition compared with those who had a child (AHR = 1.44, 95% CI: 1.12-1.85). Individuals who did not own mobile phone had a 37% higher risk of attrition than those who owned a mobile phone (AHR = 1.37, 95% CI: 1.02-1.83). Ambulatory/bedridden functional status at the time of diagnosis had a 44% higher risk of attrition compared with participants with a working functional status (AHR = 1.44, 95% CI: 1.08-1.92) at any time during the follow-up period. CONCLUSION: The overall incidence of attrition among people living with HIV enrolled into HIV treatment was not as high as what was reported by other studies. Independent predictors of attrition were administrative regions in Ethiopia where health facilities are located, not having a child, not owning a mobile phone and being ambulatory/bedridden functional status at the time of diagnosis. Concerted efforts should be taken to reduce the magnitude of attrition from HIV treatment and address its drivers.
RESUMO
BACKGROUND: HIV testing is a critical step to accessing antiretroviral therapy (ART) because early diagnosis can facilitate earlier initiation of ART. This study presents aggregated data of individuals who self-reported being HIV-positive but subsequently tested HIV-negative during nationally representative Population-Based HIV Impact Assessment surveys conducted in 11 countries from 2015 to 2018. METHOD: Survey participants aged 15 years or older were interviewed by trained personnel using a standard questionnaire to determine HIV testing history and self-reported HIV status. Home-based HIV testing and counseling using rapid diagnostic tests with return of results were performed by survey staff according to the respective national HIV testing services algorithms on venous blood samples. Laboratory-based confirmatory HIV testing for all participants identified as HIV-positives and self-reported positives, irrespective of HIV testing results, was conducted and included Geenius HIV-1/2 and DNA polymerase chain reaction if Geenius was negative or indeterminate. RESULTS: Of the 16,630 participants who self-reported as HIV-positive, 16,432 (98.6%) were confirmed as HIV-positive and 198 (1.4%) were HIV-negative by subsequent laboratory-based testing. Participants who self-reported as HIV-positive but tested HIV-negative were significantly younger than 30 years, less likely to have received ART, and less likely to have received a CD4 test compared with participants who self-reported as HIV-positive with laboratory-confirmed infection. CONCLUSIONS: A small proportion of self-reported HIV-positive individuals could not be confirmed as positive, which could be due to initial misdiagnosis, deliberate wrong self-report, or misunderstanding of the questionnaire. As universal ART access is expanding, it is increasingly important to ensure quality of HIV testing and confirmation of HIV diagnosis before ART initiation.