Attrition of HIV-exposed infants from early infant diagnosis services in low- and middle-income countries: A systematic review and meta-analysis

INTRODUCTION: Identification and retention of HIV-exposed infants in early infant diagnosis (EID) services helps to ensure optimal health outcomes. This systematic review and meta-analysis examines the magnitude of attrition from EID services in low- and middle-income countries (LMICs). METHODS: We performed a comprehensive database search through April 2016. We included original studies reporting retention/attrition data for HIV-exposed infants in LMICs. Outcomes included loss to follow-up (LTFU), death and overall attrition (LTFU + death) at time points along the continuum of EID services. At least two authors determined study eligibility, performed data extraction and made quality assessments. We used random-effects meta-analytic methods to aggregate effect sizes and perform meta-regression analyses. This study adhered to PRISMA reporting guidelines. RESULTS: We identified 3040 unique studies, of which 92 met eligibility criteria and were included in the quantitative synthesis. The included studies represent data from 110,805 HIV-exposed infants, the majority of whom were from Africa (77%). LTFU definitions varied widely, and there was significant variability in outcomes across studies. The bulk of attrition occurred in the first six months of follow-up, with additional losses over time. Overall, 39% of HIV-exposed infants were no longer in care at 18 months. When restricted to non-intervention studies, 43% were not retained at 18 months. CONCLUSIONS: These findings underscore the high attrition of HIV-exposed infants from EID services in LMICs and the urgent need for implementation research and resources to improve retention among this vulnerable population

• Population(s)
  • Children or Youth (less than 18 years old)
  • General HIV+ population
  • General HIV- population
• Engagement and Care Cascade
  • Linkage/engagement in care
  • Retention in care
• Prevention
  • Biomedical interventions
• Testing
  • Testing