Digital Methodology to implement the ECOUTER engagement process [version 2; peer review: 2 approved]
ECOUTER ( Employing COncept ual schema for policy and Translation E in Research - French for 'to listen' - is a new stakeholder engagement method incorporating existing evidence to help participants draw upon their own knowledge of cognate issues and interact on a topic of shared concern....
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Published in | F1000 research Vol. 5; p. 1307 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
London, UK
F1000Research
2017
F1000 Research Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | ECOUTER (
Employing
COncept
ual schema for policy and
Translation
E in
Research - French for 'to listen' - is a new stakeholder engagement method incorporating existing evidence to help participants draw upon their own knowledge of cognate issues and interact on a topic of shared concern. The results of an ECOUTER can form the basis of recommendations for research, governance, practice and/or policy. This paper describes the development of a digital methodology for the ECOUTER engagement process based on currently available mind mapping freeware software. The implementation of an ECOUTER process tailored to applications within health studies are outlined for both online and face-to-face scenarios. Limitations of the present digital methodology are discussed, highlighting the requirement of a purpose built software for ECOUTER research purposes. |
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Bibliography: | new_version ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 MM developed the ECOUTER process. RW developed technical and implementation methodology, contributed to the ECOUTER Github repository and wrote the ECOUTER wiki. OB and TC contributed to the ECOUTER Github repository. JM developed and monitored ECOUTER processes during pilot implementation. All authors reviewed and edited the manuscript for important intellectual content. Competing interests: The authors have no professional or personal connections to Mind42 ( http://www.Mind42.com.) |
ISSN: | 2046-1402 2046-1402 |
DOI: | 10.12688/f1000research.8786.2 |