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. 2017 Mar 15;17(1):208.
doi: 10.1186/s12913-017-2147-x.

Implementation of evidence-informed practice through central network actors; a case study of three public health units in Canada

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Implementation of evidence-informed practice through central network actors; a case study of three public health units in Canada

Reza Yousefi Nooraie et al. BMC Health Serv Res. .

Abstract

Background: Workforce development is an important aspect of evidence-informed decision making (EIDM) interventions. The social position of individuals in formal and informal social networks, and the relevance of formal roles in relation to EIDM are important factors identifying key EIDM players in public health organizations. We assessed the role of central actors in information sharing networks in promoting the adoption of EIDM by the staff of three public health units in Canada, over a two-year period during which an organization-wide intervention was implemented.

Methods: A multi-faceted and tailored intervention to train select staff applying research evidence in practice was implemented in three public health units in Canada from 2011 to 2013. Staff (n = 572) were asked to identify those in the health unit whom they turned to get help using research in practice, whom they considered as experts in EIDM, and friends. We developed multi-level linear regression models to predict the change in EIDM behavior scores predicted by being connected to peers who were central in networks and were engaged in the intervention.

Results: Only the group of highly engaged central actors who were connected to each other, and the staff who were not engaged in the intervention but were connected to highly engaged central actors significantly improved their EIDM behavior scores. Among the latter group, the staff who were also friends with their information sources showed a larger improvement in EIDM behavior.

Conclusions: If engaged, central network actors use their formal and informal connections to promote EIDM. Central actors themselves are more likely to adopt EIDM if they communicate with each other. These social communications should be reinforced and supported through the implementation of training interventions as a means to promoting EIDM.

Keywords: Centrality; Evidence-informed decision-making; Local opinion leaders; Social network analysis.

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Figures

Fig. 1
Fig. 1
Information-seeking networks at baseline in three public health units. Grey nodes were highly engaged in the intervention. The shapes of the nodes represent organizational divisions. Node size is proportional to the in-degree centrality. Asterisks represent central network actors. a unit A, b unit B, c unit C

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