Evidence map›Paper›PMID 28298209›Full record

ArticleBMC health services research2017

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

Reza Yousefi Nooraie, Alexandra Marin, Robert Hanneman, Lynne Lohfeld, Maureen Dobbins

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Reza Yousefi NooraieInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada. rynaso@gmail.com.
Alexandra MarinDepartment of Sociology, University of Toronto, Toronto, Canada.
Robert HannemanDepartment of Sociology, College of Humanities, Arts, and Social Sciences, University of California, Riverside, USA.
Lynne LohfeldQueen's University Belfast, Centre for Public Health, Belfast, UK.
Maureen DobbinsSchool of Nursing and Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.

Funding

CIHR PHE-101867
6 · The paper itself

Abstract

backgroundWorkforce 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.

methodsA 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.

resultsOnly 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.

conclusionsIf 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.

Indexed as

Decision MakingDiffusion of InnovationEvidence-Based PracticePublic Health AdministrationSocial SupportStaff DevelopmentCanadaCommunicationFemaleHealth Care SurveysHumansLinear ModelsMalePeer GroupCentralityEvidence-informed decision-makingLocal opinion leadersSocial network analysis

Identifiers

PMID28298209
PMCPMC5353959

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.