Literature DB >> 23627576

The costs of warfarin underuse and nonadherence in patients with atrial fibrillation: a commercial insurer perspective.

Julian P Casciano1, Zenobia J Dotiwala, Bradley C Martin, Winghan Jacqueline Kwong.   

Abstract

BACKGROUND: Atrial fibrillation (AF) imposes a substantial clinical and economic burden on the U.S. health care system. Despite national guidelines that recommend oral anticoagulation for stroke prevention, the literature consistently reports its underuse in AF patients with moderate to high stroke risk.
OBJECTIVE: To assess the economic burden of underuse and nonadherence of warfarin therapy among patients with nonvalvular AF in a commercially insured population.
METHODS: Claims data between January 2003 and December 2007 from the Thomson Reuters MarketScan Research Database were used. Patients diagnosed with nonvalvular AF who were continuously enrolled for at least 12 months prior to and 2 months following their diagnosis, who had a CHADS₂ score ≥ 2, and were not at high risk of bleeding (ATRIA score less than 5, HEMORR₂HAGE score less than 4, and HAS-BLED score less than 3) at baseline were included. Patients were followed for up to 18 months after the AF diagnosis date to assess the level of warfarin utilization. Health care resource utilization and cost during follow-up among patients with the proportion of days covered (PDC) by warfarin greater than 0.8 (high) and ≤ 0.8 (low) versus patients with no warfarin exposure were assessed. Multivariate negative binomial regressions and generalized linear models were used to estimate differences in resource utilization and cost, respectively.
RESULTS: Of the 13,289 subjects included in this analysis, 47% had no warfarin exposure; 31.5% had low PDC; and 21.5% had high PDC. The rates of ischemic stroke and transient ischemic attack (per 100 patient-years) were significantly lower for the groups that had high and low PDCs as compared with the group with no warfarin exposure (P less than 0.001). Multivariate analysis showed that patients with high PDC were 27% less likely (P less than 0.001) to incur hospitalizations, and 16% were less likely (P = 0.019) to incur emergency room visits than patients who did not receive warfarin, but the differences between low PDC patients and no warfarin exposure were not significant. Although both low and high PDC were associated with lower all-cause inpatient cost (P less than 0.001), only high PDC was associated with a lower post-index all-cause total cost (P less than 0.001) compared with no warfarin exposure.
CONCLUSION: Our results confirm that underutilization and nonadherence of warfarin among nonvalvular AF patients is both prevalent and costly. Warfarin use among patients with moderate to high stroke risk and low to moderate bleed risk demonstrated a stroke benefit without a significant increase in intracranial hemorrhage. Adherence to oral anticoagulant therapy was associated with a significant reduction in inpatient service use and total health care cost. Improving adherence to oral anticoagulation is important to attaining the clinical and economic benefits of therapy.

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Year:  2013        PMID: 23627576     DOI: 10.18553/jmcp.2013.19.4.302

Source DB:  PubMed          Journal:  J Manag Care Pharm        ISSN: 1083-4087


  33 in total

Review 1.  Benefit-risk assessment of dabigatran in the treatment of stroke prevention in non-valvular atrial fibrillation.

Authors:  Sascha Meyer Dos Santos; Sebastian Harder
Journal:  Drug Saf       Date:  2014-05       Impact factor: 5.606

2.  Net Clinical Benefits of Guidelines and Decision Tool Recommendations for Oral Anticoagulant Use among Patients with Atrial Fibrillation.

Authors:  Anand R Shewale; Jill T Johnson; Chenghui Li; David Nelsen; Bradley C Martin
Journal:  J Stroke Cerebrovasc Dis       Date:  2015-10-21       Impact factor: 2.136

3.  Guideline-concordant initiation of oral anticoagulant therapy for stroke prevention in older veterans with atrial fibrillation eligible for Medicare Part D.

Authors:  Nicolae Done; Amanda M Roy; Yingzhe Yuan; Steven D Pizer; Adam J Rose; Julia C Prentice
Journal:  Health Serv Res       Date:  2018-11-11       Impact factor: 3.402

4.  Persistence with VKA treatment in newly treated atrial fibrillation patients: an analysis based on a large sample of 38,076 German patients.

Authors:  Thomas Wilke; Antje Groth; Andreas Fuchs; Matthias Pfannkuche; Ulf Maywald
Journal:  Eur J Clin Pharmacol       Date:  2017-08-05       Impact factor: 2.953

5.  Impact of Warfarin Persistence on Health-Care Utilization and Costs Among Patients With Atrial Fibrillation Managed in Anticoagulation Clinics in the United States.

Authors:  Steven B Deitelzweig; Michael Evans; Jeffrey Trocio; Kiran Gupta; Melissa Lingohr-Smith; Brandy Menges; Jay Lin
Journal:  Clin Appl Thromb Hemost       Date:  2017-01-31       Impact factor: 2.389

6.  A Comparison of Oral Anticoagulant Use for Atrial Fibrillation in the Pre- and Post-DOAC Eras.

Authors:  Joshua D Brown; Anand R Shewale; Parinita Dherange; Jeffery C Talbert
Journal:  Drugs Aging       Date:  2016-06       Impact factor: 3.923

7.  Atrial fibrillation decision support tool: Population perspective.

Authors:  Mark H Eckman; Alexandru Costea; Mehran Attari; Jitender Munjal; Ruth E Wise; Carol Knochelmann; Matthew L Flaherty; Pete Baker; Robert Ireton; Brett M Harnett; Anthony C Leonard; Dylan Steen; Adam Rose; John Kues
Journal:  Am Heart J       Date:  2017-08-23       Impact factor: 4.749

8.  Antithrombotic Usage Patterns in the Era of New Oral Anticoagulant Options for Atrial Fibrillation.

Authors:  Jacob Marler; Justin B Usery; Shambria Nolan; Carrie S Oliphant
Journal:  Hosp Pharm       Date:  2016-07

Review 9.  Bleeding in patients receiving non-vitamin K oral anticoagulants: clinical trial evidence.

Authors:  Arthur Bracey; Wassim Shatila; James Wilson
Journal:  Ther Adv Cardiovasc Dis       Date:  2018-09-30

10.  Adherence to warfarin treatment among patients with atrial fibrillation.

Authors:  Mika Skeppholm; Leif Friberg
Journal:  Clin Res Cardiol       Date:  2014-07-31       Impact factor: 5.460

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