An intensive model of care for hepatitis C virus screening and treatment with direct-acting antivirals in people who inject drugs in Nairobi, Kenya: a model-based cost-effectiveness analysis.

BACKGROUND AND AIMS: Hepatitis C virus (HCV) treatment is essential for eliminating HCV in people who inject drugs (PWID), but has limited coverage in resource-limited settings. We measured the cost-effectiveness of a pilot HCV screening and treatment intervention using directly observed therapy among PWID attending harm reduction services in Nairobi, Kenya. DESIGN: We utilized an existing model of HIV and HCV transmission among current and former PWID in Nairobi to estimate the cost-effectiveness of screening and treatment for HCV, including prevention benefits versus no screening and treatment. The cure rate of treatment and costs for screening and treatment were estimated from intervention data, while other model parameters were derived from literature. Cost-effectiveness was evaluated over a life-time horizon from the health-care provider's perspective. One-way and probabilistic sensitivity analyses were performed. SETTING: Nairobi, Kenya. POPULATION: PWID. MEASUREMENTS: Treatment costs, incremental cost-effectiveness ratio (cost per disability-adjusted life year averted). FINDINGS: The cost per disability-adjusted life-year averted for the intervention was $975, with 92.1% of the probabilistic sensitivity analyses simulations falling below the per capita gross domestic product for Kenya ($1509; commonly used as a suitable threshold for determining whether an intervention is cost-effective). However, the intervention was not cost-effective at the opportunity cost-based cost-effectiveness threshold of $647 per disability-adjusted life-year averted. Sensitivity analyses showed that the intervention could provide more value for money by including modelled estimates for HCV disease care costs, assuming lower drug prices ($75 instead of $728 per course) and excluding directly-observed therapy costs. CONCLUSIONS: The current strategy of screening and treatment for hepatitis C virus (HCV) among people who inject drugs in Nairobi is likely to be highly cost-effective with currently available cheaper drug prices, if directly-observed therapy is not used and HCV disease care costs are accounted for.

Lost to follow up from tuberculosis treatment in an urban informal settlement (Kibera), Nairobi, Kenya: what are the rates and determinants?

Patients lost to follow up (LTFU) from treatment are a major concern for tuberculosis (TB) programmes. It is even more challenging in programmes in urban informal settlements (slums) with large, highly mobile, impoverished populations. Kibera, on the outskirts of Nairobi, Kenya is such a community with an estimated population of 500,000 to 700,000. Médecins Sans Frontières (MSF), in collaboration with the Kenyan Ministry of Public Health and Sanitation (MPHS), operate three clinics providing integrated TB, HIV and primary health care. We undertook a retrospective study between July 2006 and December 2008 to determine the rate of LTFU from the TB programme in Kibera and to assess associated clinical and socio-demographic factors. Thanks to an innovative 'Defaulter Tracing Programme', patients who missed their appointments were routinely traced and encouraged to return for treatment. Where possible, reasons for missed appointments were recorded. LTFU occurred in 146 (13%) of the 1094 patients registered, with male gender, no salaried employment, lack of family support and positive TB smear at diagnosis found to be significant associations (P value ≤ 0.05). The most commonly cited reasons for LTFU were relocation from Kibera to 'up-country' rural homes and work commitments.