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TABLE 43 Utility values including/excluding adverse events<br />

These utility values were used to estimate <strong>the</strong><br />

mean (and standard err<strong>or</strong>) f<strong>or</strong> <strong>the</strong> utility<br />

decrement associated <strong>with</strong> <strong>the</strong> different<br />

chemo<strong>the</strong>rapies (rep<strong>or</strong>ted in Table 44). These<br />

adjustments were applied to a single cycle <strong>of</strong> <strong>the</strong><br />

model and hence we assumed that <strong>the</strong> duration <strong>of</strong><br />

<strong>the</strong> adverse event (and hence <strong>the</strong> decrement)<br />

lasted f<strong>or</strong> a maximum <strong>of</strong> 1 month. Gamma<br />

distributions were assigned to <strong>the</strong>se data f<strong>or</strong> <strong>the</strong><br />

purposes <strong>of</strong> <strong>the</strong> probabilistic analysis, using<br />

method <strong>of</strong> moments.<br />

In <strong>the</strong> absence <strong>of</strong> utility decrements f<strong>or</strong> <strong>the</strong><br />

complete range <strong>of</strong> possible strategies, <strong>the</strong><br />

following assumptions were applied. The<br />

decrement rep<strong>or</strong>ted f<strong>or</strong> docetaxel was applied to<br />

<strong>the</strong> two D + P strategies (3-weekly and weekly).<br />

F<strong>or</strong> <strong>the</strong> docetaxel and estramustine strategies<br />

(D + E and D + E + P 35 and 70), <strong>the</strong> decrement<br />

applied was taken as <strong>the</strong> maximum estimated f<strong>or</strong><br />

docetaxel and estramustine. The decrement<br />

rep<strong>or</strong>ted f<strong>or</strong> mitoxantrone was applied to both <strong>of</strong><br />

<strong>the</strong> mitoxantrone-based comparat<strong>or</strong>s (M + P and<br />

M + P + C). Finally, in <strong>the</strong> absence <strong>of</strong> data f<strong>or</strong> <strong>the</strong><br />

Health Technology Assessment 2007; Vol. 11: No. 2<br />

Health State n Mean SE<br />

Moderate disease 27 0.7319 0.0438<br />

Moderate disease + docetaxel AE 27 0.5972 0.0519<br />

Moderate disease + mitoxantrone AE 27 0.6643 0.0455<br />

Moderate disease + estramustine AE 27 0.6222 0.0482<br />

AE, adverse events.<br />

TABLE 44 Utility decrements applied in <strong>the</strong> sensitivity analysis<br />

Intervention Mean SE Distribution<br />

<strong>Docetaxel</strong> 0.1347 0.0679 Gamma<br />

Mitoxantrone 0.0676 0.0632 Gamma<br />

Estramustine 0.1097 0.0651 Gamma<br />

© Queen’s Printer and Controller <strong>of</strong> HMSO 2007. All rights reserved.<br />

adverse event pr<strong>of</strong>ile rep<strong>or</strong>ted f<strong>or</strong><br />

<strong>prednisone</strong>/<strong>prednisolone</strong>, <strong>the</strong> lowest decrement<br />

across <strong>the</strong> three different interventions was<br />

applied. Although this approach resulted in<br />

similar decrements applied to m<strong>or</strong>e than one<br />

strategy, <strong>the</strong> total impact on <strong>the</strong> QALY calculations<br />

was specific f<strong>or</strong> each intervention, since <strong>the</strong><br />

probability <strong>of</strong> experiencing grade 3/4 adverse<br />

events was separately estimated f<strong>or</strong> each<br />

intervention in <strong>the</strong> Bayesian meta-analysis.<br />

Tables 45 and 46 rep<strong>or</strong>t <strong>the</strong> results <strong>of</strong> <strong>the</strong> sensitivity<br />

analysis including <strong>the</strong> adverse events. The results<br />

demonstrate that <strong>the</strong> ICER appears robust to <strong>the</strong><br />

inclusion <strong>of</strong> adverse events. The ICER <strong>of</strong> D + P<br />

(3-weekly) in comparison <strong>with</strong> M + P increases<br />

marginally to £33,298 per QALY when adverse<br />

events are included (compared <strong>with</strong> £32,706 per<br />

QALY in <strong>the</strong> main analyses).<br />

Variation in <strong>the</strong> health state descriptive<br />

system<br />

Three separate health states were used to describe<br />

<strong>the</strong> progression <strong>of</strong> advanced disease in HRPC in<br />

<strong>or</strong>der to reflect <strong>the</strong> QoL <strong>of</strong> early, moderate and<br />

late disease. These health state descriptions were<br />

devised using data rep<strong>or</strong>ted using FACT-P. F<strong>or</strong> <strong>the</strong><br />

purposes <strong>of</strong> <strong>the</strong> cost-effectiveness analysis, <strong>the</strong>se<br />

estimates were combined to reflect a single utility<br />

value. The utility values f<strong>or</strong> each state (including<br />

<strong>the</strong> combined estimate) are rep<strong>or</strong>ted in Table 47.<br />

The valuations provided f<strong>or</strong> each <strong>of</strong> <strong>the</strong> states, and<br />

<strong>the</strong> combined estimate, were higher than <strong>the</strong><br />

TABLE 45 Analysis 1 – estimates <strong>of</strong> mean lifetime costs and QALYs f<strong>or</strong> D + P (3-weekly), M + P and P, including adjustment f<strong>or</strong><br />

adverse events<br />

Intervention Cost (£) LYG QALY ICER (£) Probability cost-effective (%)<br />

£20,000 £30,000 £40,000<br />

P 11,242 1.51 0.80103 Dominated 41 35 28<br />

M + P 10,801 1.51 0.79917 – 38 29 20<br />

D + P (3-weekly) 15,859 1.80 0.95107 33,298 21 36 51<br />

69

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