Evidence map›Paper›PMID 28178958›Full record

ArticleBMC health services research2017

Informing the implementation of evidence-informed decision making interventions using a social network analysis perspective; a mixed-methods study.

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

Open access · goldAbstract 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 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Identifying ICU admission decision patterns in a '20-questions game' approach using network analysis.The Southern African journal of critical care : the official journal of the Critical Care Society · 2021
    Article
  7. [The Early Mobilization Network].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2020
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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 at 4 institutions in 3 countries.

Reza Yousefi NooraieInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada. r.yousefinooraie@utoronto.ca.
Lynne LohfeldQueen's University Belfast, Centre for Public Health, Belfast, UK.
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.
Maureen DobbinsSchool of Nursing and Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
University of Toronto · CAMcMaster University · CAQueen's University Belfast · GBUniversity of California, Riverside · US

Funding

CIHR PHE-101867
6 · The paper itself

Abstract

backgroundWorkforce development is an important aspect of evidence-informed decision making (EIDM) interventions. The structure of formal and informal social networks can influence, and be influenced, by the implementation of EIDM interventions.

methodsIn a mixed methods study we assessed the outcomes of a targeted training intervention to promote EIDM among the staff in three public health units in Ontario, Canada. This report focuses on the qualitative phase of the study in which key staff were interviewed about the process of engagement in the intervention, communications during the intervention, and social consequences.

resultsSenior managers identified staff to take part in the intervention. Engagement was a top-down process determined by the way organizational leaders promoted EIDM and the relevance of staff's jobs to EIDM. Communication among staff participating in the workshops and ongoing progress meetings was influential in overcoming personal and normative barriers to implementing EIDM, and promoted the formation of long-lasting social connections among staff. Organization-wide presentations and meetings facilitated the recognition of expertise that the trained staff gained, including their reputation as experts according to their peers in different divisions.

conclusionSelective training and capacity development interventions can result in forming an elite versus ordinary pattern that facilitates the recognition of in-house qualified experts while also strengthening social status inequality. The role of leadership in public health units is pivotal in championing and overseeing the implementation process. Network analysis can guide and inform the design, process, and evaluation of the EIDM training interventions.

Indexed as

Evidence-Based PracticeHealth PersonnelInterprofessional RelationsSocial NetworkingCommunicationDecision MakingHumansInformation Seeking BehaviorInterviews as TopicLeadershipOntarioPublic Health AdministrationStaff DevelopmentEvidence-basedEvidence-informedImplementationMixed methodsSocial network analysis

Identifiers

PMID28178958
PMCPMC5299784
OpenAlexW2586860228

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.