Literature DB >> 31270747

Adoption of Cost Effectiveness-Driven Value-Based Formularies in Private Health Insurance from 2010 to 2013.

Elizabeth D Brouwer1, Anirban Basu2, Kai Yeung3.   

Abstract

BACKGROUND AND
OBJECTIVE: It is unclear whether private insurance benefit designs align with the most widely used ex-US definition of value, the incremental cost-effectiveness ratio (ICER). A large Pacific Northwest private insurance plan explicitly implemented a tiered formulary based on cost-effectiveness estimates of individual drugs in 2010, resulting in cost savings to the plan without negatively affecting patient health service utilization. Given the pressures of rising costs, we investigate whether employer-based private health insurance plans have adopted value-based cost-sharing approaches that are in line with cost-effectiveness estimates.
METHODS: At the drug level, we identified five drug tier designations (0-4) that are tied to increasing ICER ranges in a large claims dataset from 2010 to 2013. We used a random effects model to evaluate whether out-of-pocket (OOP) cost levels and trends were associated with drug value designation, controlling for generic status and list price, and whether the associations varied by insurance plan type and insurance market concentration, as measured by the Herfindahl-Hirschman Index (HHI). We also estimated the weighted mean cost effectiveness of the drug claims in the sample by year and generic status using the formulary's cost-effectiveness value ranges.
RESULTS: The 2010 volume weighted mean OOP cost for a 30-day supply of drugs in tiers 0 through 4 were $US6.87, $US22.62, $US62.22, $US57.36, and $US59.85, respectively (2013 US dollars). OOP costs for cost-saving and preventive drugs (tier 0) decreased 5% annually from 2010 to 2013 (p < 0.01); OOP costs for drugs costing under $US10,000/quality-adjusted life-year (QALY) (tier 1) decreased 4.5% annually (p < 0.01) and OOP costs for drugs costing over $US50,000/QALY (tier 3) and $US150,000/QALY (tier 4) decreased by 2.4% and 2.2%, respectively (p < 0.01 and p = 0.046). OOP costs for drugs valued between $US10,000 and $US50,000/QALY did not change significantly (p = 0.31). Average ICER estimates increased for generic drugs and did not change for brand name drugs.
CONCLUSION: OOP costs for prescription drugs are decreasing across value levels, with OOP costs for higher-value drugs generally decreasing at a faster rate than lower-value drugs. The relationship between cost sharing and value remains tenuous, however, particularly at higher ICER levels, likely reflecting the persistence of traditional formulary structures and increasing use of generic drugs over brand name drugs.

Entities:  

Year:  2019        PMID: 31270747     DOI: 10.1007/s40273-019-00821-5

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


  18 in total

1.  Assessing the evidence for value-based insurance design.

Authors:  Niteesh K Choudhry; Meredith B Rosenthal; Arnold Milstein
Journal:  Health Aff (Millwood)       Date:  2010-11       Impact factor: 6.301

2.  Measuring the Value of Prescription Drugs.

Authors:  Peter J Neumann; Joshua T Cohen
Journal:  N Engl J Med       Date:  2015-11-18       Impact factor: 91.245

3.  Design, implementation, and first-year outcomes of a value-based drug formulary.

Authors:  Sean D Sullivan; Kai Yeung; Carol Vogeler; Scott D Ramsey; Edward Wong; Chad O Murphy; Dan Danielson; David L Veenstra; Louis P Garrison; Wylie Burke; John B Watkins
Journal:  J Manag Care Spec Pharm       Date:  2015-04

4.  Price elasticities of pharmaceuticals in a value based-formulary setting.

Authors:  Kai Yeung; Anirban Basu; Ryan N Hansen; Sean D Sullivan
Journal:  Health Econ       Date:  2018-07-20       Impact factor: 3.046

5.  Prices For Common Cardiovascular Drugs In The US Are Not Consistently Aligned With Value.

Authors:  Jonathan D Campbell; Vasily Belozeroff; Melanie D Whittington; Robert J Rubin; Paolo Raggi; Andrew H Briggs
Journal:  Health Aff (Millwood)       Date:  2018-08       Impact factor: 6.301

6.  Impact of a Value-based Formulary on Medication Utilization, Health Services Utilization, and Expenditures.

Authors:  Kai Yeung; Anirban Basu; Ryan N Hansen; John B Watkins; Sean D Sullivan
Journal:  Med Care       Date:  2017-02       Impact factor: 2.983

7.  Using Performance-Based Risk-Sharing Arrangements to Address Uncertainty in Indication-Based Pricing.

Authors:  Kai Yeung; Meng Li; Josh J Carlson
Journal:  J Manag Care Spec Pharm       Date:  2017-10

8.  Health Care Spending in the United States and Other High-Income Countries.

Authors:  Irene Papanicolas; Liana R Woskie; Ashish K Jha
Journal:  JAMA       Date:  2018-03-13       Impact factor: 56.272

9.  Recommendations for Conduct, Methodological Practices, and Reporting of Cost-effectiveness Analyses: Second Panel on Cost-Effectiveness in Health and Medicine.

Authors:  Gillian D Sanders; Peter J Neumann; Anirban Basu; Dan W Brock; David Feeny; Murray Krahn; Karen M Kuntz; David O Meltzer; Douglas K Owens; Lisa A Prosser; Joshua A Salomon; Mark J Sculpher; Thomas A Trikalinos; Louise B Russell; Joanna E Siegel; Theodore G Ganiats
Journal:  JAMA       Date:  2016-09-13       Impact factor: 56.272

10.  Thresholds for the cost-effectiveness of interventions: alternative approaches.

Authors:  Elliot Marseille; Bruce Larson; Dhruv S Kazi; James G Kahn; Sydney Rosen
Journal:  Bull World Health Organ       Date:  2014-12-15       Impact factor: 9.408

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