Literature DB >> 16189061

Social network analysis as an analytic tool for interaction patterns in primary care practices.

John Scott1, Alfred Tallia, Jesse C Crosson, A John Orzano, Christine Stroebel, Barbara DiCicco-Bloom, Dena O'Malley, Eric Shaw, Benjamin Crabtree.   

Abstract

PURPOSE: Social network analysis (SNA) provides a way of quantitatively analyzing relationships among people or other information-processing agents. Using 2 practices as illustrations, we describe how SNA can be used to characterize and compare communication patterns in primary care practices.
METHODS: Based on data from ethnographic field notes, we constructed matrices identifying how practice members interact when practice-level decisions are made. SNA software (UCINet and KrackPlot) calculates quantitative measures of network structure including density, centralization, hierarchy and clustering coefficient. The software also generates a visual representation of networks through network diagrams.
RESULTS: The 2 examples show clear distinctions between practices for all the SNA measures. Potential uses of these measures for analysis of primary care practices are described.
CONCLUSIONS: SNA can be useful for quantitative analysis of interaction patterns that can distinguish differences among primary care practices.

Entities:  

Mesh:

Year:  2005        PMID: 16189061      PMCID: PMC1466914          DOI: 10.1370/afm.344

Source DB:  PubMed          Journal:  Ann Fam Med        ISSN: 1544-1709            Impact factor:   5.166


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