Table 4.
Reference | Country | Genotype | Analysis |
Model Features |
Population |
LMIC | Newest Drug(s) | Comparator(s) | ICER ($/QALY Gained) | Currency (Year) | Notes | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fibrosis Stratified | Delay Considered | Model Typea | Transmission | Reinfection | PWID Focus | Incarcerated | Highly Stratified | |||||||||
Bennett, 201664 | UK | 1, 3 | Yes | No | DT | Yes | Yes | Yes | No | No | No | SOF-DCV to treat PWIDs at high uptake rates | TVR-based treatment; PR treatment at different uptake rates | Cost saving | £ (2013) | Dependent on patient genotype, the cost-effectiveness of HCV treatment using daclatasvir plus sofosbuvir improved by 36% to 79% versus conventional analysis, at 10% to 100% treatment uptake in the PWID population. |
Martin, 201665 | UK | 1–4 | Yes | Implicit | DT | Yes | Yes | Yes | Yes | No | No | Double testing rates and provide all-oral DAA in prison | Status quo | 15,090 | £ (2014) | Delay is implicit if lower screening rates imply later detection (and hence more advanced fibrosis progression). |
Martin, 201658 | UK | 1–4 | Yes | Yes | DT | Yes | Yes | Yes | No | No | No | Treat all, targeting PWID/ex-PWID | Delay treatment until advanced fibrosis and/or exclude PWID | PWID HCV prevalence ≤40%, ≥F2 PWID and ex-PWID: <20,000 PWID HCV prevalence = 60%, ≥F2 ex-PWID: <20,000; including any PWID is not cost-effective |
£ (2014) | When reinfection risk is high and transmission not substantially cut due to high HCV prevalence, immediate treatment targeting PWID is less cost-effective. |
Scott, 201660 | Australia | 1, 2, 3 | Yes | Yes | DT | Yes | Yes | Yes | No | No | No | Treatment expansion to active PWIDs with less advanced fibrosis | No expansion or expansion to reduce either mortality or incidence alone | 25,121 | Aus$ (2014) | |
Scott, 201661 | Australia | 1, 2, 3 | Yes | Yes | DT | No | Yes | Yes | No | No | No | Treat early fibrosis | Treat late fibrosis; no treatment | 17,090 | Aus$ (2014) | Assumes an exogenous rate of reinfection (that treatment will not be scaled up sufficiently to impact infection risk to others). |
Van Santen, 201663 | Netherlands | 1–4 | Yes | Implicit | MS with DT | Yes | Yes | Yes | No | No | No | Dual DAAs with 3× treatment uptake via screening | Dual DAAs or status quo treatment at lower screening/uptake levels | <4,115 | € (2014) | With an epidemic in decline (as in Amsterdam, Netherlands), the ICER is 4,115. With a stable epidemic (greater risk of transmission without treatment), the ICER is lower and treatment of PWID is more cost-effective. Delay is implicit if lower screening rates imply later detection (and hence more advanced fibrosis progression). |
Visconti, 201362 | Australia | 1/non-1 | Yes | No | M | No | Yes | Yes | No | No | No | Treat ≥F1 | Treat ≥F4; treat ≥F2; best supportive care only | Non-injectors: 4,221 Active injectors: 7,719 Former injectors: 5,919 |
Aus$ (2011) |
DAA, direct-acting antiviral; DCV/ASV, daclatasvir/asunaprevir; F0, F1, F2, F3, F4, indicates severity of patient’s liver disease using metavir fibrosis scale (“≥F2” indicates all patients with at least F2 fibrosis which is F2, F3, and F4); HCV, hepatitis C virus; ICER, incremental cost effectiveness ratio; LMIC, low- and middle-income countries; PWID, people who inject drugs; QALY, quality-adjusted life year; SOF, sofosbuvir; SOF-DCV, sofosbuvir/daclatasvir; TVR, telaprevir.
Model type: M, Markov model; DT, dynamic transmission model; MS, microsimulation; AB, agent-based simulation.