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Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI

BACKGROUND: Perioperative MRI has disseminated into breast cancer practice despite equivocal evidence. We used a novel social network approach to assess the relationship between the characteristics of surgeons’ patient‐sharing networks and subsequent use of MRI. METHODS: We identified a cohort of fe...

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Autores principales: Tannenbaum, Sara S., Soulos, Pamela R., Herrin, Jeph, Pollack, Craig E., Xu, Xiao, Christakis, Nicholas A., Forman, Howard P., Yu, James B., Killelea, Brigid K., Wang, Shi‐Yi, Gross, Cary P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308117/
https://www.ncbi.nlm.nih.gov/pubmed/30444005
http://dx.doi.org/10.1002/cam4.1821
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author Tannenbaum, Sara S.
Soulos, Pamela R.
Herrin, Jeph
Pollack, Craig E.
Xu, Xiao
Christakis, Nicholas A.
Forman, Howard P.
Yu, James B.
Killelea, Brigid K.
Wang, Shi‐Yi
Gross, Cary P.
author_facet Tannenbaum, Sara S.
Soulos, Pamela R.
Herrin, Jeph
Pollack, Craig E.
Xu, Xiao
Christakis, Nicholas A.
Forman, Howard P.
Yu, James B.
Killelea, Brigid K.
Wang, Shi‐Yi
Gross, Cary P.
author_sort Tannenbaum, Sara S.
collection PubMed
description BACKGROUND: Perioperative MRI has disseminated into breast cancer practice despite equivocal evidence. We used a novel social network approach to assess the relationship between the characteristics of surgeons’ patient‐sharing networks and subsequent use of MRI. METHODS: We identified a cohort of female patients with stage 0‐III breast cancer from the Surveillance, Epidemiology, and End Results (SEER)‐Medicare database. We used claims data from these patients and non‐cancer patients from the 5% Medicare sample to identify peer groups of physicians who shared patients during 2004‐2006 (T1). We used a multivariable hierarchical model to identify peer group characteristics associated with uptake of MRI in T2 (2007‐2009) by surgeons who had not used MRI in T1. RESULTS: Our T1 sample included 15 149 patients with breast cancer, treated by 2439 surgeons in 390 physician groups. During T1, 9.1% of patients received an MRI; the use of MRI varied from 0% to 100% (IQR 0%, 8.5%) across peer groups. After adjusting for clinical characteristics, patients treated by surgeons in groups with a higher proportion of primary care physicians (PCPs) in T1 were less likely to receive MRI in T2 (OR = 0.81 for 10% increase in PCPs, 95% CI = 0.71, 0.93). Surgeon transitivity (ie, clustering of surgeons) was significantly associated with MRI receipt (P = 0.013); patients whose surgeons were in groups with higher transitivity in T1 were more likely to receive MRI in T2 (OR = 1.29 for 10% increase in clustering, 95% CI = 1.06, 1.58). CONCLUSION: The characteristics of a surgeon's peer network are associated with their patients’ subsequent receipt of perioperative MRI.
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spelling pubmed-63081172019-01-03 Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI Tannenbaum, Sara S. Soulos, Pamela R. Herrin, Jeph Pollack, Craig E. Xu, Xiao Christakis, Nicholas A. Forman, Howard P. Yu, James B. Killelea, Brigid K. Wang, Shi‐Yi Gross, Cary P. Cancer Med Clinical Cancer Research BACKGROUND: Perioperative MRI has disseminated into breast cancer practice despite equivocal evidence. We used a novel social network approach to assess the relationship between the characteristics of surgeons’ patient‐sharing networks and subsequent use of MRI. METHODS: We identified a cohort of female patients with stage 0‐III breast cancer from the Surveillance, Epidemiology, and End Results (SEER)‐Medicare database. We used claims data from these patients and non‐cancer patients from the 5% Medicare sample to identify peer groups of physicians who shared patients during 2004‐2006 (T1). We used a multivariable hierarchical model to identify peer group characteristics associated with uptake of MRI in T2 (2007‐2009) by surgeons who had not used MRI in T1. RESULTS: Our T1 sample included 15 149 patients with breast cancer, treated by 2439 surgeons in 390 physician groups. During T1, 9.1% of patients received an MRI; the use of MRI varied from 0% to 100% (IQR 0%, 8.5%) across peer groups. After adjusting for clinical characteristics, patients treated by surgeons in groups with a higher proportion of primary care physicians (PCPs) in T1 were less likely to receive MRI in T2 (OR = 0.81 for 10% increase in PCPs, 95% CI = 0.71, 0.93). Surgeon transitivity (ie, clustering of surgeons) was significantly associated with MRI receipt (P = 0.013); patients whose surgeons were in groups with higher transitivity in T1 were more likely to receive MRI in T2 (OR = 1.29 for 10% increase in clustering, 95% CI = 1.06, 1.58). CONCLUSION: The characteristics of a surgeon's peer network are associated with their patients’ subsequent receipt of perioperative MRI. John Wiley and Sons Inc. 2018-11-15 /pmc/articles/PMC6308117/ /pubmed/30444005 http://dx.doi.org/10.1002/cam4.1821 Text en © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Tannenbaum, Sara S.
Soulos, Pamela R.
Herrin, Jeph
Pollack, Craig E.
Xu, Xiao
Christakis, Nicholas A.
Forman, Howard P.
Yu, James B.
Killelea, Brigid K.
Wang, Shi‐Yi
Gross, Cary P.
Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI
title Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI
title_full Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI
title_fullStr Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI
title_full_unstemmed Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI
title_short Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI
title_sort surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: a study of perioperative mri
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308117/
https://www.ncbi.nlm.nih.gov/pubmed/30444005
http://dx.doi.org/10.1002/cam4.1821
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