Literature DB >> 20465315

Are cancer drugs less likely to be recommended for listing by the Pharmaceutical Benefits Advisory Committee in Australia?

Lesley Chim1, Patrick J Kelly, Glenn Salkeld, Martin R Stockler.   

Abstract

BACKGROUND: The hurdle of cost effectiveness for the selection and reimbursement of drugs in Australia limits access to new medicines based on an assessment of cost relative to clinical benefit. Those drugs that are expensive and provide modest benefits will be less likely to receive a government price subsidy. There is concern that the cost-effectiveness hurdle will limit access to new cancer treatments because of their high costs and modest benefits.
OBJECTIVE: To test the hypothesis that Ceteris paribus, cancer drugs are less likely to receive a recommendation for reimbursement on the Pharmaceutical Benefits Scheme (PBS) than non-cancer drugs.
METHODS: We reviewed public summary documents (PSDs) on all major submissions considered by the Pharmaceutical Benefits Advisory Committee (PBAC) from July 2005 to March 2008. Each PSD includes summary information on the clinical, economic and utilization considerations of the PBAC in arriving at a recommendation. A total of 227 PSDs were reviewed, from which 243 PBAC recommendations were identified. Logistic regression was used to determine the effects of drug type (cancer vs non-cancer) and other potentially confounding variables on the outcome of PBS approval versus non-approval.
RESULTS: There were 243 PBAC recommendations in 227 published PSDs: 108 for rejection (44%), 10 deferrals (4%) and 125 (51%) recommendations for listing. Recommendations for listing were made somewhat more often for non-cancer drugs than for cancer drugs: 104/191 (54%) versus 21/52 (40%), respectively; p = 0.07. Based on the results for univariable analyses, there is evidence that four variables have some association (p < 0.25) with PBAC approval, but only type of application, economic modelling and estimated cost to the PBS remained statistically significant at p < 0.05 in the multivariable model. No interaction terms were statistically significant. Cancer drug submissions tend to have a modelled economic evaluation and have a higher cost per QALY than non-cancer drugs (29% vs 15% of cancer and non-cancer drugs, respectively had a reported modelled cost per QALY of more than Australian dollars [$A]45 000; p < 0.001). Submissions that include a modelled economic evaluation and have a higher cost per QALY get approved less often than submissions without an economic modelling (p = 0.04). However, after adjusting for economic modelling, there is no statistical difference between cancer and non-cancer drugs in terms of gaining recommendation for PBS listing.
CONCLUSION: The PBAC applies decision criteria equitably to cancer and non-cancer drugs, in that cancer drugs are neither favoured nor disadvantaged but they are more expensive and target a smaller population than non-cancer drugs. Further debate and research is needed to determine society's willingness to pay for a QALY and whether this differs between drugs for cancer and other indications or for interventions that differ on criteria other than cost effectiveness.

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Year:  2010        PMID: 20465315     DOI: 10.2165/11533000-000000000-00000

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  14 in total

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Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

Review 2.  Medical paternalism and expensive unsubsidised drugs.

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3.  Many new cancer drugs in the United Kingdom are facing negative NICE rulings.

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4.  Do oncologists discuss expensive anti-cancer drugs with their patients?

Authors:  J Thomson; P Schofield; L Mileshkin; E Agalianos; J Savulescu; J Zalcberg; M Jefford
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Review 5.  Economic evaluations of medical care interventions for cancer patients: how, why, and what does it mean?

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6.  The role of value for money in public insurance coverage decisions for drugs in Australia: a retrospective analysis 1994-2004.

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Review 8.  Market and patient access to new oncology products in Europe: a current, multidisciplinary perspective.

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2.  Reimbursement decisions of the All Wales Medicines Strategy Group: influence of policy and clinical and economic factors.

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3.  Revealed and Stated Preferences of Decision Makers for Priority Setting in Health Technology Assessment: A Systematic Review.

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Review 4.  Stated and Revealed Preferences for Funding New High-Cost Cancer Drugs: A Critical Review of the Evidence from Patients, the Public and Payers.

Authors:  Tatjana E MacLeod; Anthony H Harris; Ajay Mahal
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5.  Decision-makers' preferences for approving new medicines in Wales: a discrete-choice experiment with assessment of external validity.

Authors:  Warren G Linley; Dyfrig A Hughes
Journal:  Pharmacoeconomics       Date:  2013-04       Impact factor: 4.981

6.  Access to new cancer medicines in Australia: dispelling the myths and informing a public debate.

Authors:  Agnes Vitry; Barbara Mintzes; Wendy Lipworth
Journal:  J Pharm Policy Pract       Date:  2016-04-07

7.  Eliciting the public preferences for pharmaceutical subsidy in Iran: a discrete choice experiment study.

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8.  Relationship between financial impact and coverage of drugs in Australia.

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9.  Acceptance of health technology assessment submissions with incremental cost-effectiveness ratios above the cost-effectiveness threshold.

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