Literature DB >> 26679970

Geographic Variation in Rosiglitazone Use Surrounding FDA Warnings in the Department of Veterans Affairs.

Vishal Ahuja1, Min-Woong Sohn, John R Birge, Chad Syverson, Elly Budiman-Mak, Nicholas Emanuele, Jennifer M Cooper, Elbert S Huang.   

Abstract

BACKGROUND: Geographic variation in the use of prescription drugs, particularly those deemed harmful by the FDA, may lead to variation in patient exposure to adverse drug events. One such drug is the glucose-lowering drug rosiglitazone, for which the FDA issued a safety alert on May 21, 2007, following the publication of a meta-analysis that suggested a 43% increase in the risk of myocardial infarction with the use of rosiglitazone. This alert was followed by a black box warning on August 14, 2007, that was updated 3 months later. While large declines have been documented in rosiglitazone use in clinical practice, little is known about how the use of rosiglitazone and other glucose-lowering drugs varied within the Department of Veterans Affairs (VA), surrounding the FDA alerts. Understanding this variation within integrated health care systems is essential to formulating policies that enhance patient protection and quality of care.
OBJECTIVE: To document variation in the use of rosiglitazone and other glucose- lowering drugs across 21 Veterans Integrated Service Networks (VISNs).
METHODS: We conducted a retrospective analysis of drug use patterns for all major diabetes drugs in a national cohort of 550,550 veterans with diabetes from 2003 to 2008. This included the time periods when rosiglitazone was added to (November 2003) and removed from (October 2007) the VA national formulary (VANF). We employed multivariable logistic regression models to statistically estimate the association between a patient's location and the patient's odds of using rosiglitazone.
RESULTS: Aggregate rosiglitazone use increased monotonically from 7.7%, in the quarter it was added to the VANF (November 4, 2003), to a peak of 15.3% in the quarter when the FDA issued the safety alert. Rosiglitazone use decreased sharply afterwards, reaching 3.4% by the end of the study period (September 30, 2008). The use of pioglitazone, another glucose-lowering drug in the same class as rosiglitazone, was low when the FDA issued the safety alert (0.4%) but increased sharply afterwards, reaching 3.6% by the end of the study period. Insulin use increased monotonically; metformin use remained relatively flat; and sulfonylurea use exhibited a general declining trend throughout the study period. Statistically significant geographic variation was observed in rosiglitazone use throughout the study period. The prevalence range, defined as the range of minimum to maximum use across VISNs was 3.7%-12.4% in the first quarter (January 1 to March 31, 2003); 1.0%-5.5% in the last quarter of study period (July 1 to September 30, 2008); and reached a peak of 9.6%-25.5% in the quarter when the FDA safety alert was issued (April 1 to March 31, 2007). In 5 VISNs, peak rosiglitazone use occurred before the FDA issued the safety alert. The odds ratio of using rosiglitazone in a given VISN varied from 0.55 (95% CI = 0.52-0.59; VISN 10) to 1.58 (95% CI = 1.50-1.66; VISN 15), with VISN 1 being the reference region. The variation was higher in the periods after the FDA issued the safety alert. Much less variation was observed in the use of pioglitazone, metformin, sulfonylurea, and insulin.
CONCLUSIONS: Our results show statistically significant variation in the way VISNs within the VA responded to the FDA alerts, suggesting a need for mechanisms that disseminate information and guidelines for drug use in a consistent and reliable manner. Further study of regions that adopted ideal practices earlier may provide lessons for regional leadership and practice culture within integrated health care systems.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26679970      PMCID: PMC4861222          DOI: 10.18553/jmcp.2015.21.12.1214

Source DB:  PubMed          Journal:  J Manag Care Spec Pharm


  30 in total

1.  Responding to an FDA warning--geographic variation in the use of rosiglitazone.

Authors:  Nilay D Shah; Victor M Montori; Harlan M Krumholz; Karen Tu; G Caleb Alexander; Cynthia A Jackevicius
Journal:  N Engl J Med       Date:  2010-11-17       Impact factor: 91.245

2.  Medication adherence: WHO cares?

Authors:  Marie T Brown; Jennifer K Bussell
Journal:  Mayo Clin Proc       Date:  2011-03-09       Impact factor: 7.616

3.  Use of rosiglitazone and pioglitazone immediately after the cardiovascular risk warnings.

Authors:  Rahul Jain; C Daniel Mullins; Helen Lee; Winston Wong
Journal:  Res Social Adm Pharm       Date:  2011-07-06

Review 4.  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

5.  Geographic variation in medication adherence in commercial and Medicare part D populations.

Authors:  Joseph E Couto; Janki M Panchal; Lincy S Lal; Thomas J Bunz; Jon E Maesner; Terrence O'Brien; Tanvir Khan
Journal:  J Manag Care Spec Pharm       Date:  2014-08

6.  Antidiabetic prescribing trends and predictors of thiazolidinedione discontinuation following the 2007 rosiglitazone safety alert.

Authors:  Kathryn M Hurren; Thomas N Taylor; Linda A Jaber
Journal:  Diabetes Res Clin Pract       Date:  2011-03-25       Impact factor: 5.602

7.  Impact of thiazolidinedione safety warnings on medication use patterns and glycemic control among veterans with diabetes mellitus.

Authors:  Lizheng Shi; Yingnan Zhao; Keith Szymanski; Lillian Yau; Vivian Fonseca
Journal:  J Diabetes Complications       Date:  2010-08-12       Impact factor: 2.852

8.  State Medicaid programs did not make use of prior authorization to promote safer prescribing after rosiglitazone warning.

Authors:  Joseph S Ross; Cynthia Jackevicius; Harlan M Krumholz; Jennifer Ridgeway; Victor M Montori; G Caleb Alexander; Judy Zerzan; Jiaquan Fan; Nilay D Shah
Journal:  Health Aff (Millwood)       Date:  2012-01       Impact factor: 6.301

9.  Regional differences in diabetes as a possible contributor to the geographic disparity in stroke mortality: the REasons for Geographic And Racial Differences in Stroke Study.

Authors:  Jenifer H Voeks; Leslie A McClure; Rodney C Go; Ronald J Prineas; Mary Cushman; Brett M Kissela; Jeffrey M Roseman
Journal:  Stroke       Date:  2008-04-03       Impact factor: 7.914

10.  Regional, geographic, and racial/ethnic variation in glycemic control in a national sample of veterans with diabetes.

Authors:  Leonard E Egede; Mulugeta Gebregziabher; Kelly J Hunt; Robert N Axon; Carrae Echols; Gregory E Gilbert; Patrick D Mauldin
Journal:  Diabetes Care       Date:  2011-02-18       Impact factor: 19.112

View more
  3 in total

1.  Effects of a primary care intervention to improve the quality of zolpidem prescriptions in elderly patients.

Authors:  Rocío López-Sepúlveda; María Ángeles García Lirola; Esther Espínola García; Salvadora Martín Sances; Sonia Anaya Ordóñez; José María Jurado Martínez; José Cabeza Barrera
Journal:  Eur J Clin Pharmacol       Date:  2016-12-27       Impact factor: 2.953

Review 2.  Novel Therapeutics for Diabetes: Uptake, Usage Trends, and Comparative Effectiveness.

Authors:  Vishal Ahuja; Chia-Hung Chou
Journal:  Curr Diab Rep       Date:  2016-06       Impact factor: 4.810

3.  Changes in diabetes medication regimens and glycemic control in adolescents and young adults with youth-onset type 2 diabetes: The SEARCH for diabetes in youth study.

Authors:  Cathy A Pinto; Jeanette M Stafford; Tongtong Wang; R Ravi Shankar; Jean M Lawrence; Grace Kim; Catherine Pihoker; Ralph B D'Agostino; Dana Dabelea
Journal:  Pediatr Diabetes       Date:  2018-06-13       Impact factor: 3.409

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.