Literature DB >> 29961563

Influence of Sociodemographic Factors and Provider Specialty on Anticoagulation Prescription Fill Patterns and Outcomes in Atrial Fibrillation.

Wesley T O'Neal1, Pratik B Sandesara2, J'Neka S Claxton3, Richard F MacLehose4, Lin Y Chen5, Lindsay G S Bengtson6, Alanna M Chamberlain7, Faye L Norby4, Pamela L Lutsey4, Alvaro Alonso3.   

Abstract

Early cardiology involvement after atrial fibrillation (AF) diagnosis is associated with increased oral anticoagulant prescription fills and reduced stroke risk. It is unknown if this association varies by race, sex, or education. We examined anticoagulant fills in 223,891 patients with incident nonvalvular AF (mean age = 71 years; 44% women; 84% white; 9% black; 5% Hispanic; 2% Asian) from the Optum Clinformatics database (2009 to 2014). Provider specialty and filled anticoagulant prescriptions 3 months before and 6 months after AF diagnosis were obtained. Poisson regression was used to compute the probability of oral anticoagulant prescription fill and Cox regression was used to estimate the risk of stroke and major bleeding. Cardiology involvement was less likely among nonwhites (white = Referent; black = relative risk = 0.96, 95% confidence interval (0.95 to 0.97); Hispanic = 0.99 (0.98 to 1.00); Asian = 0.95 (0.93 to 0.97)) and women (0.92 (0.91 to 0.93)), but more likely with higher education level (high school or less = Referent; some college = 1.03 (1.02 to 1.04); college or more = 1.08 (1.07 to 1.09)). Patients seen by cardiology providers were more likely to fill anticoagulant prescriptions (Any = 1.67 (1.64 to 1.69); direct oral anticoagulants = 2.59 (2.49 to 2.68); warfarin = 1.38 (1.35 to 1.41)) compared with patients not seen by a cardiology provider. Patients seen by a cardiologist had a reduced stroke risk (hazard ratio = 0.84 (0.79 to 0.88)) and similar bleeding risk (1.01 (0.96 to 1.06)). Outcomes did not vary by race, sex, or education level. In conclusion, although race, sex, and education differences exist in early cardiology involvement after AF diagnosis, the influence of cardiology involvement on anticoagulant prescription fills and AF-related outcomes does not vary by these factors. Initiatives to improve early cardiology referral in nonwhites, women, and those with lower educational attainment may improve AF outcomes.
Copyright © 2018. Published by Elsevier Inc.

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Year:  2018        PMID: 29961563      PMCID: PMC6215489          DOI: 10.1016/j.amjcard.2018.04.022

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  16 in total

1.  A modified poisson regression approach to prospective studies with binary data.

Authors:  Guangyong Zou
Journal:  Am J Epidemiol       Date:  2004-04-01       Impact factor: 4.897

2.  Differences in Clinical and Functional Outcomes of Atrial Fibrillation in Women and Men: Two-Year Results From the ORBIT-AF Registry.

Authors:  Jonathan P Piccini; DaJuanicia N Simon; Benjamin A Steinberg; Laine Thomas; Larry A Allen; Gregg C Fonarow; Bernard Gersh; Elaine Hylek; Peter R Kowey; James A Reiffel; Gerald V Naccarelli; Paul S Chan; John A Spertus; Eric D Peterson
Journal:  JAMA Cardiol       Date:  2016-06-01       Impact factor: 14.676

3.  A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey.

Authors:  Ron Pisters; Deirdre A Lane; Robby Nieuwlaat; Cees B de Vos; Harry J G M Crijns; Gregory Y H Lip
Journal:  Chest       Date:  2010-03-18       Impact factor: 9.410

4.  Treating Specialty and Outcomes in Newly Diagnosed Atrial Fibrillation: From the TREAT-AF Study.

Authors:  Alexander C Perino; Jun Fan; Susan K Schmitt; Mariam Askari; Daniel W Kaiser; Abhishek Deshmukh; Paul A Heidenreich; Christopher Swan; Sanjiv M Narayan; Paul J Wang; Mintu P Turakhia
Journal:  J Am Coll Cardiol       Date:  2017-07-04       Impact factor: 24.094

5.  Differences and trends in stroke prevention anticoagulation in primary care vs cardiology specialty management of new atrial fibrillation: The Retrospective Evaluation and Assessment of Therapies in AF (TREAT-AF) study.

Authors:  Mintu P Turakhia; Donald D Hoang; Xiangyan Xu; Susan Frayne; Susan Schmitt; Felix Yang; Ciaran S Phibbs; Claire T Than; Paul J Wang; Paul A Heidenreich
Journal:  Am Heart J       Date:  2012-11-20       Impact factor: 4.749

Review 6.  Differences in attitude, education, and knowledge about oral anticoagulation therapy among patients with atrial fibrillation in Europe: result of a self-assessment patient survey conducted by the European Heart Rhythm Association.

Authors:  Antonio Hernández Madrid; Tatjana S Potpara; Nikolaos Dagres; Jian Chen; Torben B Larsen; Heidi Estner; Derick Todd; Maria G Bongiorni; Elena Sciaraffia; Alessandro Proclemer; Saida Cheggour; Walid Amara; Carina Blomstrom-Lundqvist
Journal:  Europace       Date:  2016-02-21       Impact factor: 5.214

7.  Incidence and prevalence of atrial fibrillation and associated mortality among Medicare beneficiaries, 1993-2007.

Authors:  Jonathan P Piccini; Bradley G Hammill; Moritz F Sinner; Paul N Jensen; Adrian F Hernandez; Susan R Heckbert; Emelia J Benjamin; Lesley H Curtis
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2012-01-10

8.  Optum Labs: building a novel node in the learning health care system.

Authors:  Paul J Wallace; Nilay D Shah; Taylor Dennen; Paul A Bleicher; Paul D Bleicher; William H Crown
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

9.  Triangulating differential nonresponse by race in a telephone survey.

Authors:  Jessica T DeFrank; J Michael Bowling; Barbara K Rimer; Jennifer M Gierisch; Celette Sugg Skinner
Journal:  Prev Chronic Dis       Date:  2007-06-15       Impact factor: 2.830

10.  Provider specialty and atrial fibrillation treatment strategies in United States community practice: findings from the ORBIT-AF registry.

Authors:  Emil L Fosbol; DaJuanicia N Holmes; Jonathan P Piccini; Laine Thomas; James A Reiffel; Roger M Mills; Peter Kowey; Kenneth Mahaffey; Bernard J Gersh; Eric D Peterson
Journal:  J Am Heart Assoc       Date:  2013-07-18       Impact factor: 5.501

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  3 in total

Review 1.  Racial and Ethnic Differences in the Management of Atrial Fibrillation.

Authors:  Kamala P Tamirisa; Sana M Al-Khatib; Sanghamitra Mohanty; Janet K Han; Andrea Natale; Dhiraj Gupta; Andrea M Russo; Amin Al-Ahmad; Anne M Gillis; Kevin L Thomas
Journal:  CJC Open       Date:  2021-09-13

2.  Sex differences in treatment strategy and adverse outcomes among patients 75 and older with atrial fibrillation in the MarketScan database.

Authors:  Vinita Subramanya; J'Neka S Claxton; Pamela L Lutsey; Richard F MacLehose; Lin Y Chen; Alanna M Chamberlain; Faye L Norby; Alvaro Alonso
Journal:  BMC Cardiovasc Disord       Date:  2021-12-16       Impact factor: 2.298

3.  Disparities in Anticoagulant Therapy Initiation for Incident Atrial Fibrillation by Race/Ethnicity Among Patients in the Veterans Health Administration System.

Authors:  Utibe R Essien; Nadejda Kim; Leslie R M Hausmann; Maria K Mor; Chester B Good; Jared W Magnani; Terrence M A Litam; Walid F Gellad; Michael J Fine
Journal:  JAMA Netw Open       Date:  2021-07-01
  3 in total

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