ArticleTranslational behavioral medicine2018
A scoping review of patient-sharing network studies using administrative data.
Article in Translational behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
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
53 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.
- A Systematic Review of Network Studies Based on Administrative Health Data.International journal of environmental research and public health · 2020Pooled it
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- Ten Healthcare Delivery Trends and Their Measurement and Methodological Implications for Cancer Health Services Research.Health services research · 2026Article
- Provider networks for pulmonary hypertension in Massachusetts: implications for improving referrals to expert care.Annals of the American Thoracic Society · 2026Article
- When clinicians group together: a scoping review of clustering in patient-sharing networks.BMC health services research · 2026Article
- Associations of Social Deprivation and Oncology Physician Network Vulnerability With Acute Care Utilization in the SEER-Medicare Population.Health services research · 2026Article
- Hidden Structure of Care Coordination in Heart Failure Care Transitions: A Mixed-Method Network Analysis of Clinical Notes.Journal of cardiac failure · 2026Article
- Rural Oncologists' Perceptions of Specialty Scarcity and Repercussions for Care Delivery: A Qualitative Study.JCO oncology practice · 2026Article
- Changes in patient-sharing patterns after oncologist departures in rural and urban settings: a Medicare cohort study.Applied network science · 2026Article
- Physician Peer Influence on Salpingectomy Uptake for Tubal Sterilization and Ovarian Cancer Prevention.JAMA network open · 2025Article
- Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis.JMIR medical informatics · 2025Article
- A Scoping Review of Multilevel Patient-Sharing Network Measures in Health Services Research.Medical care research and review : MCRR · 2025Article
- Methodology for supervised optimization of the construction of physician shared-patient networks.Statistical methods in medical research · 2025Article
- Rural-Urban Differences in Patient-Sharing by Clinicians Caring for Children with Medical Complexity: Network Analysis of the Pediatric Workforce in Three States.The Journal of pediatrics · 2025Article
- Analysis of the patient-sharing network in hypertension management: a retrospective study in China.BMJ open · 2025Article
- Article
- Identifying opioid agonist treatment prescriber networks from health administrative data: A validation study.PloS one · 2025Article
- Characterizing Physician Referral Networks with Ricci Curvature.Pediatric and lifespan data science : First International Conference, IPLDSC 2024, Anaheim, CA, USA, May 23-24, 2024, Revised Selected Papers. International Pediatric and Lifespan Data Science Conference (1st : 2024 : Anaheim, Calif.) · 2025Article
- Variation in patient-sharing network characteristics of health care professionals treating different mental and substance use disorder patient sub-groups in primary care.The International journal of social psychiatry · 2024Article
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5 authors at 5 institutions in 1 country.
Funding
Abstract
There is a robust literature examining social networks and health, which draws on the network traditions in sociology and statistics. However, the application of social network approaches to understand the organization of health care is less well understood. The objective of this work was to examine approaches to conceptualizing, measuring, and analyzing provider patient-sharing networks. These networks are constructed using administrative data in which pairs of physicians are considered connected if they both deliver care to the same patient. A scoping review of English language peer-reviewed articles in PubMed and Embase was conducted from inception to June 2017. Two reviewers evaluated article eligibility based upon inclusion criteria and abstracted relevant data into a database. The literature search identified 10,855 titles, of which 63 full-text articles were examined. Nine additional papers identified by reviewing article references and authors were examined. Of the 49 papers that met criteria for study inclusion, 39 used a cross-sectional study design, 6 used a cohort design, and 4 were longitudinal. We found that studies most commonly theorized that networks reflected aspects of collaboration or coordination. Less commonly, studies drew on the strength of weak ties or diffusion of innovation frameworks. A total of 180 social network measures were used to describe the networks of individual providers, provider pairs and triads, the network as a whole, and patients. The literature on patient-sharing relationships between providers is marked by a diversity of measures and approaches. We highlight key considerations in network identification including the definition of network ties, setting geographic boundaries, and identifying clusters of providers, and discuss gaps for future study.
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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.