Literature DB >> 34555928

Physician Network Connections Associated With Faster De-Adoption of Dronedarone for Permanent Atrial Fibrillation.

Chad Stecher1, Alexander Everhart2,3, Laura Barrie Smith4, Anupam Jena5,6, Joseph S Ross7,8, Nihar R Desai8, Nilay Shah9, Pinar Karaca-Mandic6,10.   

Abstract

BACKGROUND: Physicians' professional networks are an important source of new medical information and have been shown to influence the adoption of new treatments, but it is unknown how physician networks impact the de-adoption of harmful practices.
METHODS: We analyzed changes in physicians' use of dronedarone after the PALLAS trial (Palbociclib Collaborative Adjuvant Study; November 2011) showed that dronedarone increased the risk of death from cardiovascular events among patients with permanent atrial fibrillation. Deidentified administrative claims from the OptumLabs Data Warehouse were combined with physicians' demographic information from the Doximity database and publicly available data on physicians' patient-sharing relationships compiled by the Centers for Medicare and Medicaid Services. We used a linear probability model with an interrupted linear time trend specification to model the impact of the PALLAS trial on physicians' dronedarone usage between 2009 and 2014.
RESULTS: Before the PALLAS trial, the use of dronedarone was increasing by 0.22 percentage points per quarter (95% CI, 0.19-0.25) in our Medicare Advantage sample (N=343 429 patient-quarter observations) and 0.63 percentage points per quarter (95% CI, 0.52-0.75) in our commercially insured sample (N=44 402 patient-quarter observations). After the PALLAS trial and subsequent United States Food and Drug Administration black box warning, physicians in the Medicare Advantage sample with an above-median number of network connections to other physicians decreased their quarterly usage of dronedarone by 0.12 percentage points more per quarter (95% CI, -0.20 to -0.04; P=0.031) than physicians with equal to or below the median number of network connections. Similar patterns existed in the commercially insured sample (P=0.0318).
CONCLUSIONS: After controlling for a wide range of patient, physician, and geographic characteristics, physicians with a greater number of network connections were faster de-adopters of dronedarone for patients with permanent atrial fibrillation after the PALLAS trial and subsequent United States Food and Drug Administration black box warning detailed the harmfulness of dronedarone for these patients. Policies for improving physicians' responsiveness to new medical information should consider utilizing the influence of these important professional network relationships.

Entities:  

Keywords:  atrial fibrillation; dronedarone; guideline adherence; harm reduction; practice patterns, physicians

Mesh:

Substances:

Year:  2021        PMID: 34555928      PMCID: PMC8530939          DOI: 10.1161/CIRCOUTCOMES.121.008040

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  39 in total

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Authors:  M D Cabana; C S Rand; N R Powe; A W Wu; M H Wilson; P A Abboud; H R Rubin
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2.  High-quality health care: the essential route to eliminating disparities and achieving health equity.

Authors:  Anne C Beal
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3.  The effect of different attribution rules on individual physician cost profiles.

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4.  Using administrative data to identify naturally occurring networks of physicians.

Authors:  Bruce E Landon; Jukka-Pekka Onnela; Nancy L Keating; Michael L Barnett; Sudeshna Paul; Alistair J O'Malley; Thomas Keegan; Nicholas A Christakis
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

5.  Sex Differences in Physician Salary in US Public Medical Schools.

Authors:  Anupam B Jena; Andrew R Olenski; Daniel M Blumenthal
Journal:  JAMA Intern Med       Date:  2016-09-01       Impact factor: 21.873

6.  A comparison of retrospective attribution rules.

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7.  National study of physician awareness and adherence to cardiovascular disease prevention guidelines.

Authors:  Lori Mosca; Allison H Linfante; Emelia J Benjamin; Kathy Berra; Sharonne N Hayes; Brian W Walsh; Rosalind P Fabunmi; Johnny Kwan; Thomas Mills; Susan Lee Simpson
Journal:  Circulation       Date:  2005-02-01       Impact factor: 29.690

8.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

9.  Mapping physician networks with self-reported and administrative data.

Authors:  Michael L Barnett; Bruce E Landon; A James O'Malley; Nancy L Keating; Nicholas A Christakis
Journal:  Health Serv Res       Date:  2011-04-26       Impact factor: 3.402

10.  Association Between Hospital Volume, Processes of Care, and Outcomes in Patients Admitted With Heart Failure: Insights From Get With The Guidelines-Heart Failure.

Authors:  Dharam J Kumbhani; Gregg C Fonarow; Paul A Heidenreich; Phillip J Schulte; Di Lu; Adrian Hernandez; Clyde Yancy; Deepak L Bhatt
Journal:  Circulation       Date:  2018-01-29       Impact factor: 29.690

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