Evidence map›Paper›PMID 42889927›Full record

ArticleDiabetes, obesity, and cardiometabolic CARE

Communication in Primary Care Teams and Diabetes Outcomes: A Social Network Analysis.

Grant R Martsolf, Kyle Featherston, Natalie Voigt, Jianfang Liu, Erika L Moen, Lusine Poghosyan

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Article in Diabetes, obesity, and cardiometabolic CARE. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Grant R MartsolfUniversity of Pittsburgh School of Nursing, Pittsburgh, PA.ORCID https://orcid.org/0000-0003-1942-8683
Kyle FeatherstonColumbia University School of Nursing, New York, NY.
Natalie VoigtColumbia University School of Nursing, New York, NY.
Jianfang LiuColumbia University School of Nursing, New York, NY.
Erika L MoenGeisel School of Medicine at Dartmouth, Hanover, NH.
Lusine PoghosyanColumbia University School of Nursing, New York, NY.

Funding

AHRQ HHS R01 HS025937
6 · The paper itself

Abstract

objectiveTo examine how communication patterns within primary care teams are associated with diabetes outcomes, using social network analysis. RESEARCH DESIGN AND

methodsWe conducted a cross-sectional study in 23 primary care practices affiliated with institutions in New York and Pennsylvania. All providers and staff were invited to complete a survey measuring communication frequency and modality. We constructed egocentric communication networks for 96 primary care professionals (PCPs), linking survey data to data from electronic health records for 2,617 patients with diabetes. Key network measures included density (proportion of actual to possible connections) and PCP betweenness centrality (extent to which communication was routed through the PCP). Multilevel logistic regression models assessed the association between network measures and composite measure of diabetes control, defined as achieving recommended targets for blood pressure, LDL cholesterol, and HbA

resultsPatients cared for by teams with denser communication networks were more likely to achieve composite diabetes control (odds ratio 1.28; 95% CI 1.04, 1.57) in unadjusted models. This association remained significant when controlling for patient and provider covariates but was attenuated after adjusting for institutional context and patient race and ethnicity. PCP betweenness centrality was not significantly associated with diabetes outcomes.

conclusionsDenser primary care team communication was associated with improved diabetes control, but these effects were attenuated by institution and patient racial composition. Findings suggest team communication may contribute to better outcomes, yet its impact is shaped by practice context and patient population. Larger, multisite studies are warranted to clarify mechanisms and inform strategies for optimizing team-based diabetes care.

Identifiers

PMID42889927
PMCPMC13671895

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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 OpenQuestion graph.