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A systematic review of the effectiveness of adalimumab

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74<br />

Health economics<br />

TABLE 19 Summary <strong>of</strong> published economic analyses<br />

Study TNF inhibitor(s) Form <strong>of</strong> economic Model used Time-horizon<br />

considered analysis<br />

Choi et al., 2002159 Etanercept Cost-<strong>effectiveness</strong> Decision tree 6 months<br />

Brennan et al., 2004160 Etanercept Cost–utility Patient-level simulation Lifetime<br />

Wong et al., 2002161 Infliximab Cost–utility Markov Lifetime<br />

Kobelt et al., 2003162 Infliximab Cost–utility Markov 10 years<br />

Jobanputra et al., 20021 Etanercept, infliximab Cost–utility Patient-level simulation Lifetime<br />

Kobelt et al., 2004163 Etanercept, infliximab Cost–utility NA NA<br />

Chiou et al., 2004164 Etanercept, infliximab,<br />

<strong>adalimumab</strong><br />

Cost–utility Decision tree 1 year<br />

Welsing et al., 2004 165 Etanercept Cost–utility Markov 5 years<br />

Bansback et al., 2005166 Etanercept, infliximab,<br />

<strong>adalimumab</strong><br />

Cost–utility Patient-level simulation Lifetime<br />

Kobelt et al., 2005 167 Etanercept Cost–utility Markov 10 years<br />

Study selection, data extraction, and quality<br />

assessment strategy<br />

An experienced health economist applied <strong>the</strong><br />

inclusion and exclusion criteria. Data were<br />

extracted by one <strong>review</strong>er using a predesigned<br />

data extraction form and were independently<br />

checked by a second <strong>review</strong>er. Data on <strong>the</strong><br />

following were sought:<br />

● study characteristics, such as form <strong>of</strong> economic<br />

analysis, population, interventions,<br />

comparators, perspective, time-horizon and<br />

modelling used<br />

● <strong>effectiveness</strong> and cost parameters, such as<br />

<strong>effectiveness</strong> data, health state valuations<br />

(utilities), resource-use data, unit cost data,<br />

price year, discounting and key assumptions<br />

● results and sensitivity analyses.<br />

These characteristics and <strong>the</strong> main results <strong>of</strong><br />

included economic evaluations are summarised in<br />

subsequent tables. The quality <strong>of</strong> included studies<br />

and industry submissions was assessed using <strong>the</strong><br />

CHEC list. 158 The study question, selection <strong>of</strong><br />

alternatives, form <strong>of</strong> evaluation, <strong>effectiveness</strong> data,<br />

costs, benefit measurement and valuation, decision<br />

modelling, discounting, allowance for uncertainty<br />

and presentation <strong>of</strong> results were all evaluated as<br />

part <strong>of</strong> this process.<br />

Results <strong>of</strong> <strong>systematic</strong> <strong>review</strong> <strong>of</strong><br />

economic evaluations<br />

Ten published studies, including one by <strong>the</strong><br />

current authors, 1 met <strong>the</strong> inclusion criteria. Given<br />

that Jobanputra 1 describes <strong>the</strong> initial version <strong>of</strong><br />

BRAM which is updated in this report, it will not<br />

be fur<strong>the</strong>r discussed here. Key features <strong>of</strong> <strong>the</strong> nine<br />

o<strong>the</strong>r studies are summarised in Table 19. In<br />

addition, all three manufacturers submitted<br />

economic analyses and models. These submissions<br />

are <strong>review</strong>ed in detail in <strong>the</strong> section ‘Review <strong>of</strong><br />

industry cost-<strong>effectiveness</strong> submissions’ (p. 80).<br />

Details <strong>of</strong> <strong>the</strong> nine studies are presented in<br />

Appendix 8, using a simplified version <strong>of</strong> <strong>the</strong><br />

Drummond and Jefferson checklist. A summary <strong>of</strong><br />

<strong>the</strong> ICERs for TNF inhibitors reported in<br />

published papers is provided in Table 20.<br />

Four economic evaluations only considered<br />

etanercept compared with specified DMARDs or<br />

sequences <strong>of</strong> DMARDs (Table 21). Three studies<br />

were cost–utility analyses, with <strong>the</strong> cost-<strong>effectiveness</strong><br />

ratio (ICER) reported as cost per QALY gained<br />

(Table 21). In addition to cost per QALY, Welsing<br />

and colleagues 165 considered cost per patient-year<br />

in three DAS28 states. Choi and colleagues 159 used<br />

<strong>the</strong> ACR20 response and a weighted average <strong>of</strong><br />

proportions <strong>of</strong> patients achieving ACR70, ACR50<br />

and ACR20 (ACR weighted response, ACR70WR)<br />

and reported <strong>the</strong> cost-<strong>effectiveness</strong> ratio as cost<br />

per ACR20 or ACR70WR. Brennan and<br />

colleagues 160 carried out <strong>the</strong> analysis from a<br />

healthcare perspective, whereas <strong>the</strong> o<strong>the</strong>r studies<br />

included direct and indirect costs. The four studies<br />

differed in how etanercept use was modelled: Choi<br />

and colleagues 159 considered etanercept alone<br />

over a short period <strong>of</strong> 6 months; Brennan and<br />

colleagues 160 placed etanercept as third line<br />

<strong>the</strong>rapy in a DMARD sequence over a patient<br />

lifetime; Welsing and colleagues 165 considered<br />

three different etanercept pathways (etanercept<br />

first, <strong>the</strong>n switch to conventional DMARDs if <strong>the</strong>re

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