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Sustaining a Global Social Network: a quasi‐experimental study
Author(s) -
Benton D.C.,
Ferguson S.L.
Publication year - 2017
Publication title -
international nursing review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
eISSN - 1466-7657
pISSN - 0020-8132
DOI - 10.1111/inr.12270
Subject(s) - cohesion (chemistry) , data collection , psychology , nursing , intervention (counseling) , control (management) , medicine , computer science , sociology , social science , chemistry , organic chemistry , artificial intelligence
Aim To examine the longer term impact on the social network of participating nurses in the Global Nursing Leadership Institute ( GNLI 2013) through using differing frequencies of follow‐up to assess impact on maintenance of network cohesion. Background Social network analysis is increasingly been used by nurse researchers, however, studies tend to use single point‐in‐time descriptive methods. Method This study utilizes a repeated measures, block group, control‐intervention, quasi‐experimental design. Twenty‐eight nurse leaders, competitively selected through a double‐blind peer review process, were allocated to five action learning–based learning groups. Network architecture, measures of cohesion and node degree frequency were all used to assess programme impact. Results The programme initiated and sustained connections between nurse leaders drawn from a geographically dispersed heterogeneous group. Modest inputs of two to three e‐mails over a 6‐month period seem sufficient to maintain connectivity as indicated by measures of network density, diameter and path length. Limitations Due to the teaching methodology used, the study sample was relatively small and the follow‐up data collection took place after a relatively short time. Replication and further cohort data collection would be advantageous. Conclusions and policy implications In an era where many policy solutions are being debated and initiated at the global level, action learning leadership development that utilizes new technology follow‐up appears to show significant impact and is worthy of wider application. The approach warrants further inquiry and testing as to its longer term effects on nursing's influence on policy formulation and implementation.

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