| Literature DB >> 28388667 |
Bo Wang1,2, David M Studdert3, Ameet Sarpatwari2, Jessica M Franklin4, Joan Landon4, Aaron S Kesselheim2.
Abstract
In the past decade, the federal government has frequently investigated and prosecuted pharmaceutical manufacturers for illegal promotion of drugs for indications not approved by the Food and Drug Administration (FDA) ("off-label" uses). State governments can choose to coordinate with the federal investigation, or pursue their own independent state investigations. One of the largest-ever off-label prosecutions relates to the atypical antipsychotic drug olanzapine (Zyprexa). In a series of settlements between 2008 and 2010, Eli Lilly paid $1.4 billion to the federal government and over $290 million to state governments. We examined the effect of these settlements on off-label prescribing of this medication, taking advantage of geographical differences in states' involvement in the investigations and the timing of the settlements. However, we did not find a reduction in off-label prescribing; rather, there were no prescribing changes among states that joined the federal investigation, those that pursued independent state investigations, and states that pursued no investigations at all. Since the settlements of state investigations of off-label prescribing do not appear to significantly impact prescribing rates, policymakers should consider alternate ways of reducing the prevalence of non-evidence-based off-label use to complement their ongoing investigations.Entities:
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Year: 2017 PMID: 28388667 PMCID: PMC5384770 DOI: 10.1371/journal.pone.0175313
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
State participation and settlements in illegal off-label marketing investigations of Lilly for olanzapine.
| Action | Participating States | Settlement(s) |
|---|---|---|
| Joined federal False Claims Act investigation | Alabama, Arizona, California, Delaware, Florida, Hawaii, Illinois, Indiana, Iowa, Kansas, Maine, Maryland, Massachusetts, Michigan, Missouri, Nebraska, Nevada, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Dakota, Tennessee, Texas, Vermont, Washington, Wisconsin, District of Columbia | 10/2008: $62 million |
| Initiated state-level investigation | Alaska, Arkansas, Connecticut, Idaho, Louisiana, Minnesota |
3/2008: AK—$15 million 8/2009: WV—$22.5 million 9/2009: CT—$25.1 million 10/2009: ID—$13 million 10/2009: SC—$45 million 11/2009: UT—$24 million 12/2009: NM—$15.5 million 2/2010: MS—$18.5 million 2/2010: AR—$18.5 million 2/2010: MT—$13 million 4/2010: LA—$20 million |
| No investigation | Colorado, Georgia, Kentucky, New Hampshire, Virginia, Wyoming | No settlements |
1Settlement awarded under consumer protection laws of these states/district
2No settlement as of December 2015
#Pennsylvania joined the federal False Claims Act investigation and also launched a separate state investigation
Fig 1Time-series analysis of new adult users of olanzapine for on- and off-label indications before and after federal settlement under the False Claims Act, with states grouped by type of investigation pursued against the manufacturer, July 2004 through January 2011.
The first time interval included the 54 months from July 2004 through December 2008. The US Department of Justice announced the federal False Claims Act settlement with Lilly in January 2009, which served as the breakpoint for our analysis. The second time period spanned the 24 months from February 2009 through January 2011.
Statistical analyses of utilization trends of olanzapine before and after federal False Claims Act settlement, using Poisson regression models, July 2004 to January 2011.
| Off-Label, federal investigation | ||||
| Before Federal Settlement | After Federal Settlement | P-Value for Change | P-Value for Comparing Changes among State Groups | |
| Federal investigation | 0.982 | 1.002 | <0.0001 | 0.0004 |
| State investigation | 0.981 | 0.994 | 0.10 | |
| No investigation | 0.990 | 0.986 | 0.71 | |
| On-Label, federal investigation | ||||
| Before Federal Settlement | After Federal Settlement | P-Value for Change | P-Value for Comparing Changes among State Groups | |
| Federal investigation | 0.993 | 1.005 | <0.0001 | 0.001 |
| State investigation | 0.992 | 0.996 | 0.52 | |
| No investigation | 0.994 | 1.007 | 0.09 | |
Breakpoint designated as the January 2009, the month of federal False Claims Act settlement. The numbers in the “before” and “after” columns are incidence rate ratios, analogous to the slopes in a linear regression. Trend coefficient of 1 signifies no change in utilization; trend coefficient indicates increase in utilization if >1 and decrease in utilization if <1.
Fig 2Time-series analysis of new adult users of olanzapine for on- and off-label indications before and after state off-label settlements.
The 11 states that pursued and successfully settled independent state-level investigations were included in this analysis: Alaska, West Virginia, Connecticut, Idaho, South Carolina, Utah, New Mexico, Mississippi, Arkansas, Montana, Louisiana (Minnesota and Pennsylvania also pursued state investigations but had not yet reached a settlement at the time of this paper’s final submission). The figure shows aggregated incident utilization data for olanzapine among these 11 states, with the first time interval spanning the two years before each state’s settlement. The month of each state’s settlement served as the breakpoint for our analysis. The second time period spanned the two-year period following the state settlements.
Statistical analyses of utilization trends of olanzapine before and after state off-investigation settlements, using Poisson regression models.
| Before State Settlement | After State Settlement | P-Value for Change | P-Value for Difference in Changes | |
|---|---|---|---|---|
| Off-Label | 0.992 | 0.974 | 0.24 | 0.74 |
| On-Label | 0.996 | 0.984 | 0.33 |
Breakpoint designated as the month of the state investigation settlements (from March 2008 for Alaska to April 2010 for Louisiana). The numbers in the “before” and “after” columns are incidence rate ratios, analogous to the slopes in a linear regression. Trend coefficient of 1 signifies no change in utilization; trend coefficient indicates increase in utilization if >1 and decrease in utilization if <1.