Cost and complexity have hindered implementation to date of viral load testing in resource-limited settings. If rapid and timely scale-up is to become a reality, numerous factors will need to be addressed, including health and laboratory system strengthening, pricing, and multiple programmatic and funding challenges.
There are inefficiencies in current approaches to monitoring patients on antiretroviral therapy (ART) in sub-Saharan Africa. Patients typically attend clinics every 1–3 months for clinical assessment, with clinic costs being comparable with costs of drugs themselves, CD4 counts are measured every 6 months, yet patients are rarely switched to second-line therapies. To ensure sustainability of treatment programmes a transition to more cost-effective ART deliver is needed. In contrast to the CD4 count, measurement of the level of HIV RNA in plasma (“viral load”) provides a direct measure of current treatment effect. Viral load informed differentiated care is a means of tailoring care whereby those with suppressed viral load have less frequent clinical visits and attention is paid to those with unsuppressed viral load to promote adherence and timely switching to a second-line regimen. The most feasible approach in many countries to measure viral load is by collecting dried blood spot (DBS) samples for testing in regional laboratories, although there have been concerns over the sensitivity/specificity of DBS to define treatment failure and the delay in receiving results. We use modelling to synthesize available evidence and evaluate the cost-effectiveness of viral load-informed differentiated care, account for limitations of DBS. We find that viral load-informed differentiated care using DBS is expected to be cost-effective and is recommended as the strategy for patient monitoring, although further empirical evidence as the approach is rolled out would be of value. We also explore the potential benefits of future availability of point-of-care (POC) viral load tests.
The clear trend of resuppression, following viral load testing and adherence support, demonstrates the utility of viral load as a tool to identify patients in need of enhanced adherence support.
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