ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016
A Social Network Analysis of Cancer Provider Collaboration.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- A Scoping Review of Multilevel Patient-Sharing Network Measures in Health Services Research.Medical care research and review : MCRR · 2025Article
- Optimizing word embeddings for small dataset: a case study on patient portal messages from breast cancer patients.Scientific reports · 2024Article
- Social network analysis of a decade-long collaborative innovation network between hospitals and the biomedical industry in China.Scientific reports · 2024Article
- Optimizing Word Embeddings for Patient Portal Message Datasets with a Small Number of Samples.Research square · 2024Article
- Social networks of oncology clinicians as a means for increasing survivorship clinic referral.Communications medicine · 2022Article
- Practical Tools and Guidelines for Young Oncologists From Resource-Limited Settings to Publish Excellence and Advance Their Career.JCO global oncology · 2021Article
- An Analysis of Electronic Health Record Work to Manage Asynchronous Clinical Messages among Breast Cancer Care Teams.Applied clinical informatics · 2021Article
- Classification and analysis of asynchronous communication content between care team members involved in breast cancer treatment.JAMIA open · 2021Article
- Characterization of international partnerships in global retinoblastoma care and research: A network analysis.PLOS global public health · 2021Article
- Characterizing communication patterns among members of the clinical care team to deliver breast cancer treatment.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Evaluating the Scope of Clinical Electronic Messaging to Coordinate Care in a Breast Cancer Cohort.Studies in health technology and informatics · 2019Article
- Temporal and Atemporal Provider Network Analysis in a Breast Cancer Cohort from an Academic Medical Center (USA).Informatics (MDPI) · 2018Article
- Using Wayfinding Data to Understand Patient Travel Within a Medical Center.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Cancer treatment often consists of multiple therapeutic modalities delivered by specialists. As changing reimbursement paradigms move towards quality outcomes and bundled payments, extensive care coordination between healthcare providers is imperative. We developed an approach to quantify care coordination relationships among providers treating breast cancer patients at the Vanderbilt University Medical Center. Our cohort of 1285 providers treated 3924 breast cancer patients, and had 1758 unique provider-provider relationships. Providers treating stage III breast cancer patients had the highest ratio of providers to patients, indicating a more tightly connected network than providers treating stage I or II patients. Network analysis can provide quantitative approaches to understanding the relationships of multi-specialty providers and may inform approaches to measuring the impact of care coordination on outcomes.
Indexed as
Identifiers
28269958PMC5333246What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.