Literature DB >> 28224383

Oncologist and organizational factors associated with variation in breast cancer multigene testing.

Tracy A Lieu1, G Thomas Ray2, Stephanie R Prausnitz2, Laurel A Habel2, Stacey Alexeeff2, Yan Li3, Scott D Ramsey4, Charles E Phelps5, Neetu Chawla2, Suzanne C O'Neill6, Jeanne S Mandelblatt6.   

Abstract

PURPOSE: Multigene testing for breast cancer recurrence risk became available in 2007, yet many eligible patients remain untested. This study evaluated variation in testing rates, and oncologist and organizational factors associated with variation, in a setting without financial influences on testing.
METHODS: We conducted a retrospective cohort study using electronic data and oncologist surveys within Kaiser Permanente Northern California, a large integrated health care system. Analyses included all 2974 test eligible patients from 2013 to 2015, 113 oncologists, and 15 practice groups. Receipt of multigene testing was evaluated with generalized linear mixed models.
RESULTS: Overall, 39% of eligible patients had multigene testing, but rates varied widely among practice groups, ranging from 24 to 48% after case mix adjustment. This 24% difference among practices was greater than the variation associated with most patient characteristics, including comorbidities and race/ethnicity, and similar to that associated with tumor size. Practice group and oncologist factors were statistically significant contributors to the variation in testing after adjusting for patient factors. Patients were more likely to be tested if they had a female oncologist (aOR 1.60, 95% CI 1.21-2.12) or were in a practice whose chief had a high testing rate (aOR 1.20, 95% CI 1.12-1.29 per 10% increase in the percent tested).
CONCLUSIONS: Oncologist and leadership practices play a key role in the variation in genomic test use for cancer recurrence risk even in a healthcare system without financial barriers to testing and could be a leverage point for implementing desired practice changes for new genomic advances.

Entities:  

Keywords:  Genetic testing; Genomics; Practice change; Practice variation; Recurrence risk

Mesh:

Year:  2017        PMID: 28224383      PMCID: PMC5394102          DOI: 10.1007/s10549-017-4158-z

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  21 in total

1.  Association Between Use of the 21-Gene Recurrence Score Assay and Receipt of Chemotherapy Among Medicare Beneficiaries With Early-Stage Breast Cancer, 2005-2009.

Authors:  Michaela A Dinan; Xiaojuan Mi; Shelby D Reed; Gary H Lyman; Lesley H Curtis
Journal:  JAMA Oncol       Date:  2015-11       Impact factor: 31.777

2.  The Kaiser Permanente Northern California Adult Member Health Survey.

Authors:  Nancy Gordon; Teresa Lin
Journal:  Perm J       Date:  2016-08-19

3.  The impact of confounder selection criteria on effect estimation.

Authors:  R M Mickey; S Greenland
Journal:  Am J Epidemiol       Date:  1989-01       Impact factor: 4.897

4.  Comparison of Hospital Mortality and Readmission Rates for Medicare Patients Treated by Male vs Female Physicians.

Authors:  Yusuke Tsugawa; Anupam B Jena; Jose F Figueroa; E John Orav; Daniel M Blumenthal; Ashish K Jha
Journal:  JAMA Intern Med       Date:  2017-02-01       Impact factor: 21.873

Review 5.  American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer.

Authors:  Lyndsay Harris; Herbert Fritsche; Robert Mennel; Larry Norton; Peter Ravdin; Sheila Taube; Mark R Somerfield; Daniel F Hayes; Robert C Bast
Journal:  J Clin Oncol       Date:  2007-10-22       Impact factor: 44.544

6.  Adjuvant Chemotherapy Use and Health Care Costs After Introduction of Genomic Testing in Breast Cancer.

Authors:  Andrew J Epstein; Yu-Ning Wong; Nandita Mitra; Anil Vachani; Sakhena Hin; Lin Yang; Aaron Smith-McLallen; Katrina Armstrong; Peter W Groeneveld
Journal:  J Clin Oncol       Date:  2015-11-23       Impact factor: 44.544

7.  Physician gender bias in clinical decisionmaking: screening for cancer in primary care.

Authors:  P Franks; C M Clancy
Journal:  Med Care       Date:  1993-03       Impact factor: 2.983

8.  Are patients of women physicians screened more aggressively? A prospective study of physician gender and screening.

Authors:  M W Kreuter; V J Strecher; R Harris; S C Kobrin; C S Skinner
Journal:  J Gen Intern Med       Date:  1995-03       Impact factor: 5.128

9.  The influence of gender on physician practice style.

Authors:  K D Bertakis; L J Helms; E J Callahan; R Azari; J A Robbins
Journal:  Med Care       Date:  1995-04       Impact factor: 2.983

10.  Adoption of gene expression profile testing and association with use of chemotherapy among women with breast cancer.

Authors:  Michael J Hassett; Samuel M Silver; Melissa E Hughes; Douglas W Blayney; Stephen B Edge; James G Herman; Clifford A Hudis; P Kelly Marcom; Jane E Pettinga; David Share; Richard Theriault; Yu-Ning Wong; Jonathan L Vandergrift; Joyce C Niland; Jane C Weeks
Journal:  J Clin Oncol       Date:  2012-05-14       Impact factor: 44.544

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  3 in total

1.  Feasibility of Measuring Preferences for Chemotherapy Among Early-Stage Breast Cancer Survivors Using a Direct Rank Ordering Multicriteria Decision Analysis Versus a Time Trade-Off.

Authors:  Laura Panattoni; Charles E Phelps; Tracy A Lieu; Stacey Alexeeff; Suzanne O'Neill; Jeanne S Mandelblatt; Scott D Ramsey
Journal:  Patient       Date:  2020-10       Impact factor: 3.883

2.  Expected Monetary Impact of Oncotype DX Score-Concordant Systemic Breast Cancer Therapy Based on the TAILORx Trial.

Authors:  Angela Mariotto; Jinani Jayasekerea; Valentina Petkov; Clyde B Schechter; Lindsey Enewold; Kathy J Helzlsouer; Eric J Feuer; Jeanne S Mandelblatt
Journal:  J Natl Cancer Inst       Date:  2020-02-01       Impact factor: 13.506

3.  Factors Associated With Oncologist Discussions of the Costs of Genomic Testing and Related Treatments.

Authors:  K Robin Yabroff; Jingxuan Zhao; Janet S de Moor; Helmneh M Sineshaw; Andrew N Freedman; Zhiyuan Zheng; Xuesong Han; Ashish Rai; Carrie N Klabunde
Journal:  J Natl Cancer Inst       Date:  2020-05-01       Impact factor: 13.506

  3 in total

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