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Results from using a new dyadic-dependence model to analyze sociocentric physician networks

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  • Paul, Sudeshna
  • Keating, Nancy L.
  • Landon, Bruce E.
  • O'Malley, A. James

Abstract

Professional physician networks can potentially influence clinical practices and quality of care. With the current focus on coordinated care, discerning influences of naturally occurring clusters and other forms of dependence among physicians' relationships based on their attributes and care patterns is an important area of research. In this paper, two directed physician networks: a physician influential conversation network (N = 33) and a physician network obtained from patient visit data (N = 135) are analyzed using a new model that accounts for effect modification of the within-dyad effect of reciprocity and inter-dyad effects involving three (or more) actors. The results from this model include more nuanced effects involving reciprocity and triadic dependence than under incumbent models and more flexible control for these effects in the extraction of other network phenomena, including the relationship between similarity of individuals' attributes (e.g., same-gender, same residency location) and tie-status. In both cases we find extensive evidence of clustering and triadic dependence that if not accounted for confounds the effect of reciprocity and attribute homophily. Findings from our analysis suggest alternative conclusions to those from incumbent models.

Suggested Citation

  • Paul, Sudeshna & Keating, Nancy L. & Landon, Bruce E. & O'Malley, A. James, 2014. "Results from using a new dyadic-dependence model to analyze sociocentric physician networks," Social Science & Medicine, Elsevier, vol. 117(C), pages 67-75.
    • Handle: RePEc:eee:socmed:v:117:y:2014:i:c:p:67-75
    DOI: 10.1016/j.socscimed.2014.07.014
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    References listed on IDEAS

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    1. Nicola J. Cooper & Paul C. Lambert & Keith R. Abrams & Alexander J. Sutton, 2007. "Predicting costs over time using Bayesian Markov chain Monte Carlo methods: an application to early inflammatory polyarthritis," Health Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 37-56, January.
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    4. West, Elizabeth & Barron, David N. & Dowsett, Juliet & Newton, John N., 1999. "Hierarchies and cliques in the social networks of health care professionals: implications for the design of dissemination strategies," Social Science & Medicine, Elsevier, vol. 48(5), pages 633-646, March.
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    Cited by:

    1. Eva Kesternich & Olaf Rank, 2022. "Beyond patient-sharing: Comparing physician- and patient-induced networks," Health Care Management Science, Springer, vol. 25(3), pages 498-514, September.

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