Literature DB >> 32350680

Patient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm.

Laura Barrie Smith1, Nihar R Desai2,3, Bryan Dowd1, Alexander Everhart1, Jeph Herrin2, Lucas Higuera4, Molly Moore Jeffery5,6, Anupam B Jena7,8,9, Joseph S Ross3,10,11, Nilay D Shah5, Pinar Karaca-Mandic12,13.   

Abstract

High-quality health care not only includes timely access to effective new therapies but timely abandonment of therapies when they are found to be ineffective or unsafe. Little is known about changes in use of medications after they are shown to be ineffective or unsafe. In this study, we examine changes in use of two medications: fenofibrate, which was found to be ineffective when used with statins among patients with Type 2 diabetes (ACCORD lipid trial); and dronedarone, which was found to be unsafe in patients with permanent atrial fibrillation (PALLAS trial). We examine the patient and provider characteristics associated with a decline in use of these medications. Using Medicare fee-for-service claims from 2008 to 2013, we identified two cohorts: patients with Type 2 diabetes using statins (7 million patient-quarters), and patients with permanent atrial fibrillation (83 thousand patient-quarters). We used interrupted time-series regression models to identify the patient- and provider-level characteristics associated with changes in medication use after new evidence emerged for each case. After new evidence of ineffectiveness emerged, fenofibrate use declined by 0.01 percentage points per quarter (95% CI - 0.02 to - 0.01) from a baseline of 6.9 percent of all diabetes patients receiving fenofibrate; dronedarone use declined by 0.13 percentage points per quarter (95% CI - 0.15 to - 0.10) from a baseline of 3.8 percent of permanent atrial fibrillation patients receiving dronedarone. For dronedarone, use declined more quickly among patients dually-enrolled in Medicare and Medicaid compared to Medicare-only patients (P < 0.001), among patients seen by male providers compared to female providers (P = 0.01), and among patients seen by cardiologists compared to primary care providers (P < 0.001).

Entities:  

Keywords:  De-adoption; Disparities; Physician behavior

Mesh:

Substances:

Year:  2020        PMID: 32350680      PMCID: PMC7725279          DOI: 10.1007/s10754-020-09282-2

Source DB:  PubMed          Journal:  Int J Health Econ Manag        ISSN: 2199-9031


  41 in total

1.  Segmented regression analysis of interrupted time series studies in medication use research.

Authors:  A K Wagner; S B Soumerai; F Zhang; D Ross-Degnan
Journal:  J Clin Pharm Ther       Date:  2002-08       Impact factor: 2.512

Review 2.  A decade of reversal: an analysis of 146 contradicted medical practices.

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Journal:  Mayo Clin Proc       Date:  2013-07-18       Impact factor: 7.616

3.  Creating value in health by understanding and overcoming resistance to de-innovation.

Authors:  Peter A Ubel; David A Asch
Journal:  Health Aff (Millwood)       Date:  2015-02       Impact factor: 6.301

4.  How do integrated health care systems address racial and ethnic disparities in colon cancer?

Authors:  Kim F Rhoads; Manali I Patel; Yifei Ma; Laura A Schmidt
Journal:  J Clin Oncol       Date:  2015-01-26       Impact factor: 44.544

5.  Disparities in surgical 30-day readmission rates for Medicare beneficiaries by race and site of care.

Authors:  Thomas C Tsai; E John Orav; Karen E Joynt
Journal:  Ann Surg       Date:  2014-06       Impact factor: 12.969

6.  Physician specialty and variation in carotid revascularization technique selected for Medicare patients.

Authors:  Jessica B Wallaert; Brian W Nolan; David H Stone; Richard J Powell; Jeremiah R Brown; Jack L Cronenwett; Philip P Goodney
Journal:  J Vasc Surg       Date:  2015-10-01       Impact factor: 4.268

7.  Technology diffusion, hospital variation, and racial disparities among elderly Medicare beneficiaries: 1989-2000.

Authors:  Peter W Groeneveld; Sara B Laufer; Alan M Garber
Journal:  Med Care       Date:  2005-04       Impact factor: 2.983

8.  Changes in geographic variation in the use of percutaneous coronary intervention for stable ischemic heart disease after publication of the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) trial.

Authors:  Arun V Mohan; Reza Fazel; Pei-Hsiu Huang; Yu-Chu Shen; David Howard
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2013-12-17

9.  Racial, ethnic, and geographic disparities in rates of knee arthroplasty among Medicare patients.

Authors:  Jonathan Skinner; James N Weinstein; Scott M Sporer; John E Wennberg
Journal:  N Engl J Med       Date:  2003-10-02       Impact factor: 91.245

10.  Assessing provider and racial/ethnic variation in response to the FDA antidepressant box warning.

Authors:  Benjamin L Cook; Ye Wang; Rajan Sonik; Susan Busch; Nicholas Carson; Ana M Progovac; Alan M Zaslavsky
Journal:  Health Serv Res       Date:  2019-02       Impact factor: 3.402

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  4 in total

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

Authors:  Chad Stecher; Alexander Everhart; Laura Barrie Smith; Anupam Jena; Joseph S Ross; Nihar R Desai; Nilay Shah; Pinar Karaca-Mandic
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2021-09-24

2.  Uptake of evidence by physicians: De-adoption of erythropoiesis-stimulating agents after the TREAT trial.

Authors:  Khoa Vu; Jiani Zhou; Alexander Everhart; Nihar Desai; Jeph Herrin; Anupam B Jena; Joseph S Ross; Nilay D Shah; Pinar Karaca-Mandic
Journal:  BMC Nephrol       Date:  2021-08-21       Impact factor: 2.388

3.  Association of Fluoroquinolone Prescribing Rates With Black Box Warnings from the US Food and Drug Administration.

Authors:  Ashwini Sankar; Kristi M Swanson; Jiani Zhou; Anupam Bapu Jena; Joseph S Ross; Nilay D Shah; Pinar Karaca-Mandic
Journal:  JAMA Netw Open       Date:  2021-12-01

4.  Physician variation in the de-adoption of ineffective statin and fibrate therapy.

Authors:  Alexander Everhart; Nihar R Desai; Bryan Dowd; Jeph Herrin; Lucas Higuera; Molly Moore Jeffery; Anupam B Jena; Joseph S Ross; Nilay D Shah; Laura Barrie Smith; Pinar Karaca-Mandic
Journal:  Health Serv Res       Date:  2021-02-10       Impact factor: 3.734

  4 in total

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