Literature DB >> 28376191

The Impact of Social Contagion on Physician Adoption of Advanced Imaging Tests in Breast Cancer.

Craig E Pollack1,2, Pamela R Soulos3,4, Jeph Herrin3,5,6, Xiao Xu3,7, Nicholas A Christakis8, Howard P Forman9, James B Yu3,10, Brigid K Killelea3,11,12, Shi-Yi Wang3,13, Cary P Gross3,4.   

Abstract

Background: Magnetic resonance imaging (MRI) and positron emission tomography (PET) scans are widely used in breast cancer practice despite unproven benefits. We examined the extent to which social contagion is associated with adoption of these imaging modalities.
Methods: We used Surveillance, Epidemiology, and End Results-Medicare to construct peer groups of physicians who shared patients during a baseline period when these imaging modalities were starting to disseminate into practice (2004-2006) and determined the potential impact of these peer groups during a follow-up period (2007-2009). For non-early-adopting surgeons (whose patients did not receive MRI/PET during baseline), we used hierarchical logistic regression models to examine the effect of their peer group's baseline use on their use of MRI/PET during the follow-up period, adjusting for patient characteristics and hospital MRI/PET use.
Results: For MRI, there were 6424 women diagnosed in the follow-up period assigned to 986 non-early-adopting surgeons. During baseline, 9.3% of women received an MRI, varying across peer groups from 0% to 81%. Women assigned to surgeons whose peers had the highest rate of baseline MRI use were more likely to receive MRI compared with women whose surgeons' peers did not use MRI (24.9% vs 10.1%, adjusted odds ratio [OR] = 2.47, 95% confidence interval [CI] = 1.39 to 4.39). Physician peers were associated with uptake of PET imaging (OR for highest vs lowest baseline peer group PET use = 2.04, 95% CI = 1.24 to 3.36). Conclusions: The phenomenon of social contagion may offer opportunities to better understand how new approaches to cancer care disseminate into clinical practice.
© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2017        PMID: 28376191      PMCID: PMC6059114          DOI: 10.1093/jnci/djw330

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  34 in total

Review 1.  High and rising health care costs. Part 2: technologic innovation.

Authors:  Thomas Bodenheimer
Journal:  Ann Intern Med       Date:  2005-06-07       Impact factor: 25.391

2.  Physician's peer exposure and the adoption of a new cancer treatment modality.

Authors:  Craig Evan Pollack; Pamela R Soulos; Cary P Gross
Journal:  Cancer       Date:  2015-04-22       Impact factor: 6.860

3.  Preoperative Breast Magnetic Resonance Imaging and Contralateral Breast Cancer Occurrence Among Older Women With Breast Cancer.

Authors:  Shi-Yi Wang; Jessica B Long; Brigid K Killelea; Suzanne B Evans; Kenneth B Roberts; Andrea Silber; Cary P Gross
Journal:  J Clin Oncol       Date:  2015-11-30       Impact factor: 44.544

4.  Preoperative MRI and surgical management in patients with nonpalpable breast cancer: the MONET - randomised controlled trial.

Authors:  N H G M Peters; S van Esser; M A A J van den Bosch; R K Storm; P W Plaisier; T van Dalen; S C E Diepstraten; T Weits; P J Westenend; G Stapper; M A Fernandez-Gallardo; I H M Borel Rinkes; R van Hillegersberg; W P Th M Mali; P H M Peeters
Journal:  Eur J Cancer       Date:  2010-12-30       Impact factor: 9.162

5.  Assigning ambulatory patients and their physicians to hospitals: a method for obtaining population-based provider performance measurements.

Authors:  Julie P W Bynum; Enrique Bernal-Delgado; Daniel Gottlieb; Elliott Fisher
Journal:  Health Serv Res       Date:  2007-02       Impact factor: 3.402

6.  Selective preoperative magnetic resonance imaging in women with breast cancer: no reduction in the reoperation rate.

Authors:  Joseph J Weber; Lisa S Bellin; David E Milbourn; Kathryn M Verbanac; Jan H Wong
Journal:  Arch Surg       Date:  2012-09

7.  Preoperative breast MRI in early-stage breast cancer.

Authors:  Patricia Young; Benjamin Kim; Jennifer L Malin
Journal:  Breast Cancer Res Treat       Date:  2012-08-26       Impact factor: 4.872

8.  Breast MRI in the Diagnostic and Preoperative Workup Among Medicare Beneficiaries With Breast Cancer.

Authors:  Tracy Onega; Julia E Weiss; Diana S M Buist; Anna N A Tosteson; Louise M Henderson; Karla Kerlikowske; Martha E Goodrich; Cristina O'Donoghue; Karen J Wernli; Wendy B DeMartini; Beth A Virnig; Caroline S Bennette; Rebecca A Hubbard
Journal:  Med Care       Date:  2016-07       Impact factor: 2.983

9.  Cancer spending and accountable care organizations: Evidence from the Physician Group Practice Demonstration.

Authors:  Carrie H Colla; Valerie A Lewis; Daniel J Gottlieb; Elliott S Fisher
Journal:  Healthc (Amst)       Date:  2013-12-01

10.  Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study.

Authors:  James H Fowler; Nicholas A Christakis
Journal:  BMJ       Date:  2008-12-04
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  26 in total

1.  Peer Influence and Opportunities for Physician Behavior Change.

Authors:  Nancy L Keating
Journal:  J Natl Cancer Inst       Date:  2017-08-01       Impact factor: 13.506

2.  Modeling peer effect modification by network strength: The diffusion of implantable cardioverter defibrillators in the US hospital network.

Authors:  A James O'Malley; Erika L Moen; Julie P W Bynum; Andrea M Austin; Jonathan S Skinner
Journal:  Stat Med       Date:  2020-01-11       Impact factor: 2.373

3.  Shared-patient physician networks and their impact on the uptake of genomic testing in breast cancer.

Authors:  Jason Rotter; Lauren Wilson; Melissa A Greiner; Craig E Pollack; Michaela Dinan
Journal:  Breast Cancer Res Treat       Date:  2019-04-26       Impact factor: 4.872

4.  Influence of Peer Physicians on Intensity of End-of-Life Care for Cancer Decedents.

Authors:  Nancy L Keating; Alistair James O'Malley; Jukka-Pekka Onnela; Stacy W Gray; Bruce E Landon
Journal:  Med Care       Date:  2019-06       Impact factor: 2.983

5.  Association Between Degrees of Separation in Physician Networks and Surgeons' Use of Perioperative Breast Magnetic Resonance Imaging.

Authors:  Yongren Shi; Craig E Pollack; Pamela R Soulos; Jeph Herrin; Nicholas A Christakis; Xiao Xu; Cary P Gross
Journal:  Med Care       Date:  2019-06       Impact factor: 2.983

6.  An empiric approach to identifying physician peer groups from claims data: An example from breast cancer care.

Authors:  Jeph Herrin; Pamela R Soulos; Xiao Xu; Cary P Gross; Craig Evan Pollack
Journal:  Health Serv Res       Date:  2018-11-28       Impact factor: 3.402

7.  Peer Influence on Physician Use of Shorter Course External Beam Radiation Therapy for Patients with Breast Cancer.

Authors:  James B Yu; Craig E Pollack; Jeph Herrin; Pamela R Soulos; Weiwei Zhu; Xiao Xu; Cary P Gross
Journal:  Pract Radiat Oncol       Date:  2019-11-27

Review 8.  A scoping review of patient-sharing network studies using administrative data.

Authors:  Eva H DuGoff; Sara Fernandes-Taylor; Gary E Weissman; Joseph H Huntley; Craig Evan Pollack
Journal:  Transl Behav Med       Date:  2018-07-17       Impact factor: 3.046

9.  Physician peer group characteristics and timeliness of breast cancer surgery.

Authors:  Jacqueline Bachand; Pamela R Soulos; Jeph Herrin; Craig E Pollack; Xiao Xu; Xiaomei Ma; Cary P Gross
Journal:  Breast Cancer Res Treat       Date:  2018-04-24       Impact factor: 4.872

10.  Using an Agent-based Model to Examine Deimplementation of Breast Cancer Screening.

Authors:  Sarah A Nowak; Andrew M Parker; Archana Radhakrishnan; Nancy Schoenborn; Craig E Pollack
Journal:  Med Care       Date:  2021-01       Impact factor: 2.983

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