ArticleCancer medicine2018
Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI.
Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Promoting rational antibiotic prescribing for non-complicated infections: understanding social influence in primary care networks in Germany.BMC family practice · 2020Trial
- Peer effects on appropriate antibiotic prescribing within a patient-sharing physician network in China.Communications medicine · 2025Article
- A Scoping Review of Multilevel Patient-Sharing Network Measures in Health Services Research.Medical care research and review : MCRR · 2025Article
- Health workers' social networks and their influence in the adoption of strategies to address the stillbirth burden at a subnational level health system in Uganda.PLOS global public health · 2022Article
- Adoption of New Risk Stratification Technologies Within US Hospital Referral Regions and Association With Prostate Cancer Management.JAMA network open · 2021Article
- Physician trajectories of abandoning long-course breast radiotherapy and their cost impact.Health services research · 2021Article
- A measure of local uniqueness to identify linchpins in a social network with node attributes.Applied network science · 2021Article
- Fostering Appropriate Antibiotic Use in a Complex Intervention: Mixed-Methods Process Evaluation Alongside the Cluster-Randomized Trial ARena.Antibiotics (Basel, Switzerland) · 2020Article
- Data-driven modeling of diabetes care teams using social network analysis.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI.Cancer medicine · 2018Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundPerioperative 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.
methodsWe 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.
resultsOur 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).
conclusionThe characteristics of a surgeon's peer network are associated with their patients' subsequent receipt of perioperative MRI.
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