Changing Paradigms for evaluating costs and benefits of drug treatments. Deven Chauhan Health Economist Office of Health Economics London, UK



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Summary 1. Comparative-effectiveness

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Changing Paradigms for evaluating costs and benefits of drug treatments Deven Chauhan Health Economist Office of Health Economics London, UK

What do we mean by changing paradigms? Elevating pharmaceutical costs has led payers to attempt to target treatment at patients more likely to benefit Pharmacogenetics provides a framework for this to be achieved There are benefits for patients, payers and companies However the relationships between the genetics and outcomes is not always straightforward

Agenda 1. pharmacogenetic testing 2. where is the extra value? Example of Centoxin Example of Herceptin Example of Iressa/ Tarceva 3. conclusion

Potential impact of pharmacogenetic testing identifies patients genotypes in order to target drugs avoid treating patients no benefit / harm ApoE gene re treatment for Alzheimer s B1 variant of the CETP gene for statins CystLT1 receptor for cysteinyl leukotriene antagonists in asthma payers will adopt if the savings exceed costs for drug companies, lower patient volumes could be socially beneficial but reduce incentives unless offsetting cost reductions, e.g. in cost of R&D price increases reflecting the greater specificity

Payer perspective testing is beneficial to the payer: if the savings i.e. non-responders N 2 (cost of adverse reactions a + price of drug P d ) are greater than the costs i.e. number of responders N 1 x change in price of the drug P d + Total number of patients N x price of the test P t if a is zero, (no side effects) and the price of the drug is unchanged, then N 2 / N > P t / P d, and testing is worthwhile from the payer perspective if the ratio of non-responders to the total population exceeds the ratio of the cost of the test to the cost of the drug

An increase in price? The societal benefit constitutes 3 elements the increment in expected health benefit per patient treated adverse effects of the drug on non-responders, cost of testing for the population, amortized over the number of responders ability of company to obtain price premium depends on the three factors and also the resistance of the payers However if prices not adjusted, treatments could no longer be commercially viable

The example of Centoxin Centoxin (Nebacumab) launched in 1991 in Europe treatment for gram negative bacteraemia (gnb) sepsis. However, Only one third of all sepsis cases are gnb $4,000 per patient cost 1,000 patients treated meant $2.67m wasted Centoxin was harmful to patients without gnb Centocor withdrew the product and FDA filing what would the value of a bedside test have been?

Value of a bedside test (i) Gain of 19% in 28-day survival of gnb group Increase in mortality of was 11% in the others The following assumptions can be made Each death costs 20 QALYs Cost per QALY threshold of $10,000 ignore extra treatment costs Price of drug with and without test would be the same i.e. $4,000

Value of a bedside test (ii) Without a test the product was not costeffective or safe However given that 33% of patients have gnb and the assumptions then: with bedside diagnostic test cost up to $11,000 Centoxin would have been cost-effective at a price of $4000 or alternatively with a bedside test of $1000 a drug price of $34,000 would have been cost-effective without the test would it have been profitable for the company?

Example of Herceptin (i) Genentech/Roche product for breast cancer benefits only those patients with HER-2 around 25% of patients three diagnostic tests FDA approved each costs less than $100 per test no adverse reactions in non responders US price is $1,382 for a 440mg injection

Example of Herceptin (ii) Would the testing lead to benefit? say treatment costs are $7000 per patient [N 2 / N] > P t / P d [N 2 / N] > 100/7000 [N 2 / N] > 0.015 or 1.5% Proportion of non-responders 75%

Example of Iressa/ Tarceva Iressa and Tarceva are orally administered epidermal growth factor tyrosine kinase (EGFR-TK) inhibitors. May 2003- Iressa (Geftinib) approved for marketing in the US for non-small-cell lung cancer patients Nov 2004- Tarceva (erlotinib) approved for marketing Dec 2004- Phase 3 trial was published which compared Iressa to placebo (ISEL trial). Did not reach statistical significance the ISEL data suggested however that patients of oriental origin or who had never smoked benefited in terms of overall survival there have been a few papers published showing that patients who have a mutation on the gene that leads to over-expression of EGFR

Overall Cost-effectiveness of Tarceva 2 month survival increase 0.15 QALY gain. Tarceva costs $2000 per month therefore total costs are $14,000 Crudely cost/ QALY gained for NSCLC patients may be $93,000. If smokers excluded, the increase in survival of non-smokers may be 2.5 months assumed to be a 0.2 QALY gain If average survival for these patients is about 7.5 months then total costs are $15,000 Crudely cost/ QALY gained for never smoking NSCLC may be $75000.

Cost-effectiveness of Tarceva if EGFR expression tested No improvement in survival in the EGFR negative group EGFR positive group 7 month survival increase 0.6 QALYs If smokers excluded, the increase in survival of non-smokers could be 8 months and 0.7 QALYs If average life expectancy for these patients is about one year then total costs are $24,000 Crudely cost/ QALY gained for EGFR positive patients may be $34,000.

Conclusion personalised/ targeted medicine may be socially optimal if the proportion of non-responders is high serious adverse reactions can arise cost of the test is inexpensive relative to drug price High specificity/ sensitivity of test In some cases beneftis difficult to demonstrate prices should reflect benefits of targeting