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EVITA 2.0, an updated framework for understanding evidence-based mental health policy agenda-setting: tested and informed by key informant interviews in a multilevel comparative case study

Abstract:
We found that the EVITA framework is useful for understanding and improving mental health research policy interrelationships to support evidence uptake to the policy agenda, and that behavioural science methods are effective support mechanisms. The revised EVITA 2.0 framework therefore includes behavioural insights, for improved mental health policy agenda-setting in LMICs. More research is needed to understand whether EVITA can be applied to other LMICs and to high-income contexts.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1186/s12961-020-00651-4
Publication website:
https://kclpure.kcl.ac.uk/ws/files/352280569/s12961-020-00651-4.pdf

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-0680-1290
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Role:
Author
ORCID:
0000-0002-1646-3486
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Role:
Author
ORCID:
0000-0003-0662-0879


More from this funder
Funder identifier:
10.13039/100000025
Grant:
R01MH100470
More from this funder
Funder identifier:
10.13039/501100000272
Grant:
Collaboration for Leadership in Applied Health Research and Care South London
Collaboration for Leadership in Applied Health Research and Care South London
NIHR Asset Global Health Unit
More from this funder
Funder identifier:
10.13039/501100000265
Grant:
MR/R023697/1
MR/R023697/1
MR/S001255/1
MR/S001255/1
More from this funder
Funder identifier:
10.13039/501100000269
Grant:
ES/J500057/1


Publisher:
BioMed Central
Journal:
Health Research Policy and Systems More from this journal
Volume:
19
Issue:
1
Pages:
35-35
Article number:
35
Publication date:
2021-03-10
DOI:
EISSN:
1478-4505
ISSN:
1478-4505


Language:
English
Keywords:
Pubs id:
1205604
Local pid:
pubs:1205604
Source identifiers:
W3133723194
Deposit date:
2026-03-26
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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