Evidence mapPaperPMID 41736048Full record

ArticleBMC health services research2026

When clinicians group together: a scoping review of clustering in patient-sharing networks.

Alina Denham, Porooshat Dadgostar, Qiuyuan Qin, Sule Yilmaz, Reza Yousefi Nooraie

Abstract readScoping Review
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Alina DenhamDepartment of Family, Population and Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Porooshat DadgostarDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Qiuyuan QinDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Sule YilmazDepartment of Surgery, Division of Supportive Care in Cancer, University of Rochester Medical Center, Rochester, NY, USA.
Reza Yousefi NooraieDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA. reza_yousefi-nooraie@urmc.rochester.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImprovements in patient safety and quality of care can be achieved by improvements in clinicians’ teamwork, coordination, and communication. Growing research examines the structure and dynamics of clinician networks using social network analysis. Such networks can have clusters of healthcare professionals within them, but systematized knowledge on these clusters is lacking. Our goal was to review the literature on determinants and characteristics of healthcare professional clustering in patient-sharing networks and their associations with patient outcomes.

methodsWe performed a scoping review in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis for scoping reviews (PRISMA-ScR). We searched Medline and EMBASE in January 2021 and again in May 2025. We included English-language peer-reviewed studies that examined the clustering of healthcare professionals in patient-sharing networks (either based on regional or institutional boundaries or cohesive relations), used network analysis techniques, and reported at least one patient outcome. After rounds of title and abstract and full-text screening, through pairwise independent review, we extracted study information such as study design and setting, population, patient-sharing definition, network measures, clustering definition, health outcomes, and reported associations. We descriptively summarized the characteristics of studies, methods of clustering, and outcome measures, and synthesized the association between clustering and health outcomes.

resultsThe thirteen eligible studies varied considerably in definitions and measures of patient-sharing relations, definitions and structural measures of network clusters, settings, study population, and health outcomes. Three studies found that busier physician networks (i.e., networks with more connections among physicians) are associated with worse health outcomes. Five studies reported that better-connected physician networks (more cohesive or more persistent) are associated with better health outcomes.

conclusionMost existing studies were exploratory and lacked explicit a priori hypotheses regarding the impact of clustering on outcomes. Our findings suggest potential associations between cluster size, cohesiveness, and the outcomes, warranting further hypothesis-driven research.

Indexed as

Cooperative BehaviorPatient Care TeamCluster AnalysisClustering AlgorithmsHumansSocial Network AnalysisHealth outcomesNetwork clustersPatient-sharingPhysician networksSocial network analysis

Identifiers

PMID41736048
PMCPMC13040936

What Socratic holds

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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 Socratic graph.