Literature DB >> 34697718

Is an Orphan Drug's Cost-Effectiveness Associated with US Health Plan Coverage Restrictiveness?

James D Chambers1, Nikoletta M Margaretos2, Daniel E Enright2, Rosa Wang3, Xin Ye3.   

Abstract

BACKGROUND AND OBJECTIVES: Orphan drugs' high prices raise questions about whether their costs are worth their benefits. We examined the association between an orphan drug's cost-effectiveness and health plan coverage restrictiveness.
METHODS: We analyzed a dataset of US commercial health plan coverage decisions (information current as of 2019) for orphan drugs (n = 3298). We used multi-level random-effect logistic regression to examine the association between orphan drug cost-effectiveness and coverage restrictiveness. We identified cost-effectiveness estimates from the Tufts Medical Center Cost-Effectiveness Analysis Registry, and from the Institute for Clinical and Economic Review's value assessments. We included only cost-effectiveness studies not funded by product manufacturers. We included the following independent variables: cancer indication, availability of alternatives, pediatric population, number of years since US Food and Drug Administration (FDA) approval, disease prevalence, annual cost, additional non-orphan indication, safety, and inclusion in a FDA expedited review program.
RESULTS: Plans restricted drug coverage in 29.7% (n = 981) of decisions. Plans were more likely to restrict drugs with incremental cost-effectiveness ratios of $50,000-$175,000 per quality-adjusted life-year [QALY] (odds ratio = 1.855, p < 0.05), $175,000-$500,000 per QALY (odds ratio = 1.859, p < 0.05), and >$500,000 per QALY/dominated (odds ratio = 2.032, p < 0.01), compared to drugs with incremental cost-effectiveness ratios <$50,000 per QALY. Plans more often restricted drugs with non-cancer indications, having available alternatives, with more recent approval, in an FDA expedited review program, and for which the FDA additionally issued approval for a non-orphan disease. Plans more often restricted drugs with higher annual costs, and drugs indicated for higher prevalence diseases. All findings p < 0.05.
CONCLUSIONS: Among other factors, an orphan drug's cost-effectiveness was associated with health plan drug coverage restrictiveness.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Mesh:

Year:  2021        PMID: 34697718     DOI: 10.1007/s40273-021-01096-5

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


  7 in total

1.  Risk-sharing arrangements that link payment for drugs to health outcomes are proving hard to implement.

Authors:  Peter J Neumann; James D Chambers; Françoise Simon; Lisa M Meckley
Journal:  Health Aff (Millwood)       Date:  2011-12       Impact factor: 6.301

2.  Specialty Drug Coverage Varies Across Commercial Health Plans In The US.

Authors:  James D Chambers; David D Kim; Elle F Pope; Jennifer S Graff; Colby L Wilkinson; Peter J Neumann
Journal:  Health Aff (Millwood)       Date:  2018-07       Impact factor: 6.301

Review 3.  Impact of FDA drug risk communications on health care utilization and health behaviors: a systematic review.

Authors:  Stacie B Dusetzina; Ashley S Higashi; E Ray Dorsey; Rena Conti; Haiden A Huskamp; Shu Zhu; Craig F Garfield; G Caleb Alexander
Journal:  Med Care       Date:  2012-06       Impact factor: 2.983

4.  Variation in US private health plans' coverage of orphan drugs.

Authors:  James D Chambers; Ari D Panzer; David D Kim; Nikoletta M Margaretos; Peter J Neumann
Journal:  Am J Manag Care       Date:  2019-10       Impact factor: 2.229

5.  Orphan Drugs Offer Larger Health Gains but Less Favorable Cost-effectiveness than Non-orphan Drugs.

Authors:  James D Chambers; Madison C Silver; Flora C Berklein; Joshua T Cohen; Peter J Neumann
Journal:  J Gen Intern Med       Date:  2020-04-13       Impact factor: 5.128

6.  Therapies for advanced cancers pose a special challenge for health technology assessment organizations in many countries.

Authors:  Peter J Neumann; Sarah K Bliss; James D Chambers
Journal:  Health Aff (Millwood)       Date:  2012-04       Impact factor: 6.301

7.  Perspective and Costing in Cost-Effectiveness Analysis, 1974-2018.

Authors:  David D Kim; Madison C Silver; Natalia Kunst; Joshua T Cohen; Daniel A Ollendorf; Peter J Neumann
Journal:  Pharmacoeconomics       Date:  2020-10       Impact factor: 4.981

  7 in total

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