Literature DB >> 34818086

Primary care provider payment models and adherence to anticoagulation in patients with atrial fibrillation.

Lanting Yang1, Jingchuan Guo2, Qingfeng Liang3, Terri V Newman1, Walid F Gellad4, Inmaculada Hernandez5.   

Abstract

BACKGROUND: Oral anticoagulation (OAC) is recommended for the prevention of stroke in atrial fibrillation (AF). However, only 50%-60% of AF patients in the United States are treated with OAC, and 60% of them adhere to OAC therapy over time.
OBJECTIVES: To (1) compare adherent use of OAC between AF patients who received primary care from practices involved in shared-savings models and patients who received care from practices not involved in shared savings and (2) examine the trend of adherence to OAC over time. Because OAC can save downstream medical costs associated with averted stroke events, we hypothesized that OAC adherence would be higher among patients receiving care from practices involved in shared savings.
METHODS: Using 2014-2019 claims data from a health insurer in western Pennsylvania, we identified 20,637 AF patients from 2015-2018. Patients were followed from the first AF diagnosis (index date) for 12 months or until disenrollment. We categorized patients according to the payment model of the practice from which they received primary care: shared savings (n = 8,844) and no shared savings (n = 11,793). The primary outcome was adherent use of OAC therapy, which was defined as having at least 80% of the followup period covered with OAC. Secondary outcomes included adherent use of direct oral anticoagulants (DOACs) and adherent use of warfarin. We constructed logistic regression models to assess the association between involvement in shared savings and adherent use of OAC, while controlling for demographics, clinical characteristics, and index year.
RESULTS: 34% of patients in the shared-savings group adhered to OAC, compared with 32.7% in the no shared-savings group (P = 0.04). After adjustment, adherence was higher for the shared-savings group for OAC (adjusted odds ratio [aOR] = 1.07, 95% CI = 1.01-1.14) and warfarin (aOR = 1.11, 95% CI = 1.02-1.20) compared with the no shared-savings group. However, the odds of adherent use of DOACs did not statistically differ between shared savings and no shared savings (aOR = 0.99, 95% CI = 0.91-1.08). The odds of adherent OAC use increased over time: the aOR of adherent use of OAC was 1.21 (95% CI = 1.09-1.34) for index year 2016; 1.50 (95% CI = 1.36-1.67) for 2017; and 1.78 (95% CI 1.60-1.98) for 2018, all compared with 2015.
CONCLUSIONS: Receipt of primary care from a practice involved in shared savings was associated with a higher adherent use of OAC and warfarin for patients with atrial fibrillation. Furthermore, adherent use of OAC improved over time for both treatment groups. Our research demonstrates that the alignment of financial incentives between providers and insurers may improve the use of therapies with downstream cost-saving potential. DISCLOSURES: This project was funded by the National Heart, Lung and Blood Institute (grant number K01HL142847). Hernandez has received consulting fees from Pfizer and BMS, outside of the submitted work. The other authors have nothing to disclose.

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Year:  2021        PMID: 34818086      PMCID: PMC8856758          DOI: 10.18553/jmcp.2021.27.12.1672

Source DB:  PubMed          Journal:  J Manag Care Spec Pharm


  24 in total

1.  Association of Changes in Medication Use and Adherence With Accountable Care Organization Exposure in Patients With Cardiovascular Disease or Diabetes.

Authors:  J Michael McWilliams; Mehdi Najafzadeh; William H Shrank; Jennifer M Polinski
Journal:  JAMA Cardiol       Date:  2017-09-01       Impact factor: 14.676

2.  New Treatment Options Fail to Close the Anticoagulation Gap in Atrial Fibrillation.

Authors:  Eric D Peterson; Sean D Pokorney
Journal:  J Am Coll Cardiol       Date:  2017-05-23       Impact factor: 24.094

3.  Impact of Star Rating Medication Adherence Measures on Adherence for Targeted and Nontargeted Medications.

Authors:  Natasha Parekh; Kiraat D Munshi; Inmaculada Hernandez; Walid F Gellad; Rochelle Henderson; William H Shrank
Journal:  Value Health       Date:  2019-08-16       Impact factor: 5.725

4.  One-year adherence to warfarin treatment for venous thromboembolism in high-risk patients and its association with long-term risk of recurrent events.

Authors:  Shih-Yin Chen; Ning Wu; Michael Gulseth; Joyce LaMori; Brahim K Bookhart; Luke Boulanger; Larry Fields; Jeff Schein
Journal:  J Manag Care Pharm       Date:  2013-05

5.  Therapy persistence in newly diagnosed non-valvular atrial fibrillation treated with warfarin or NOAC. A cohort study.

Authors:  Carlos Martinez; Anja Katholing; Christopher Wallenhorst; Saul Benedict Freedman
Journal:  Thromb Haemost       Date:  2015-08-06       Impact factor: 5.249

6.  Adherence to Anticoagulation and Risk of Stroke Among Medicare Beneficiaries Newly Diagnosed with Atrial Fibrillation.

Authors:  Inmaculada Hernandez; Meiqi He; Maria M Brooks; Samir Saba; Walid F Gellad
Journal:  Am J Cardiovasc Drugs       Date:  2020-04       Impact factor: 3.571

7.  Place, poverty and prescriptions: a cross-sectional study using Area Deprivation Index to assess opioid use and drug-poisoning mortality in the USA from 2012 to 2017.

Authors:  Shaheen Kurani; Rozalina Grubina McCoy; Jonathan Inselman; Molly Moore Jeffery; Sagar Chawla; Lila J Finney Rutten; Rachel Giblon; Nilay D Shah
Journal:  BMJ Open       Date:  2020-05-17       Impact factor: 2.692

8.  Real-world adherence to oral anticoagulants in atrial fibrillation patients: a study protocol for a systematic review and meta-analysis.

Authors:  Clara L Rodríguez-Bernal; Aníbal García-Sempere; Isabel Hurtado; Yared Santa-Ana; Salvador Peiró; Gabriel Sanfélix-Gimeno
Journal:  BMJ Open       Date:  2018-12-19       Impact factor: 2.692

9.  Trajectories of Oral Anticoagulation Adherence Among Medicare Beneficiaries Newly Diagnosed With Atrial Fibrillation.

Authors:  Inmaculada Hernandez; Meiqi He; Nemin Chen; Maria M Brooks; Samir Saba; Walid F Gellad
Journal:  J Am Heart Assoc       Date:  2019-06-13       Impact factor: 5.501

10.  Global, regional, and national prevalence, incidence, mortality, and risk factors for atrial fibrillation, 1990-2017: results from the Global Burden of Disease Study 2017.

Authors:  Haijiang Dai; Quanyu Zhang; Arsalan Abu Much; Elad Maor; Amit Segev; Roy Beinart; Salim Adawi; Yao Lu; Nicola Luigi Bragazzi; Jianhong Wu
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2021-10-28
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