Social network analysis and quantification of a prototypical acute pain medicine and regional anesthesia service

Pain Medicine : the Official Journal of the American Academy of Pain Medicine
Patrick J TigheStephen D Lucas

Abstract

The objective of this study was to quantify the network complexity, information flow, and effect of critical-node failures on a prototypical regional anesthesia and perioperative pain medicine (RAPPM) service using social network analysis. Pilot cross-sectional investigation. This study was conducted at a prototypical single-center, multi-location academic anesthesiology department with an active RAPPM service. We constructed an empirically derived prototypical social network representative of a large academic RAPPM service. The primary objective was measurement of network complexity via network size, structure, and information flow metrics. The secondary objective identified, via network simulation, those nodes whose deletion via single, two-level, or three-level node failures would result in the greatest network fragmentation. Exploratory analyses measured the impact of nodal failures on the resulting network complexity. The baseline network consisted of 84 nodes and 208 edges with a low density of 0.03 and high Krackhardt hierarchy of 0.787. Nodes exhibited low average total degree centrality (mean ± standard deviation [SD]) of 0.03 ± 0.034 and mean eigenvector centrality of 0.164 ± 0.182. The RAPPM resident-on-call was iden...Continue Reading

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Citations

Jul 15, 2015·Nursing Outlook·Sung-Heui BaeJessica Castner
Nov 9, 2018·Simulation in Healthcare : Journal of the Society for Simulation in Healthcare·Richard H RileyBrodene L Straw
Mar 16, 2017·Journal of Nursing Management·Sung-Heui BaeJessica Castner
Jun 20, 2020·BMC Health Services Research·Kate SabotJoanna Schellenberg

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