Frameworks to support evidence-informed decision-making in public health and infectious disease prevention and control: a scoping review Article Swipe
Yang Song
,
Javier Bracchiglione
,
José F. Meneses-Echávez
,
Helena de Carvalho Gomes
,
Barbara Albiger
,
Iván Solà
,
David Rigau
,
Pablo Alonso‐Coello
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2807/1560-7917.es.2025.30.19.2400185
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2807/1560-7917.es.2025.30.19.2400185
Background Evidence-informed public health decision-making (EIDM) is a complex process that must consider multiple factors. Aim We aimed to identify and describe existing frameworks supporting evidence-informed public health decision-making and their application to infectious disease. Methods We conducted a scoping review to describe current EIDM framework use in public health. We included decision-making frameworks in public health and examples of their use in infectious diseases. We searched MEDLINE and Health Systems Evidence from inception to December 2022. We also hand searched websites of relevant organisations and conducted a forward citation search of the included frameworks. Two reviewers selected studies independently, one reviewer extracted data and one cross-checked for accuracy. We presented the results narratively. Results We included 15 frameworks. Seven had a generic scope and eight were focused on specific topics (immunisation, COVID-19 or other, non-infectious diseases). From the included frameworks, we identified a total of 18 criteria with each framework assessing a median of eight, the most frequent being ‘desirable effects’, ‘resources considerations’ and ‘feasibility’. We identified infectious disease examples for four frameworks: ‘Grading of Recommendations, Assessment, Development, and Evaluation’ (GRADE), WHO-INTEGRATe Evidence (WHO-INTEGRATE), ‘Ethics, Equity, Feasibility, and Acceptability’ (EEFA) and ‘Community Preventive Services Task Force’ (CPSTF) evidence-to-decision frameworks. Conclusion Although several EIDM frameworks exist for public health decision-making, most have not been widely applied to infectious diseases. Current EIDM frameworks inconsistently address factors for public health decision-making. Further application and evaluation, and possibly adaptation of existing frameworks, is required to optimise decision-making in public health and infectious diseases.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.2807/1560-7917.es.2025.30.19.2400185
- OA Status
- diamond
- Cited By
- 1
- References
- 63
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410445051
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410445051Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2807/1560-7917.es.2025.30.19.2400185Digital Object Identifier
- Title
-
Frameworks to support evidence-informed decision-making in public health and infectious disease prevention and control: a scoping reviewWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-15Full publication date if available
- Authors
-
Yang Song, Javier Bracchiglione, José F. Meneses-Echávez, Helena de Carvalho Gomes, Barbara Albiger, Iván Solà, David Rigau, Pablo Alonso‐CoelloList of authors in order
- Landing page
-
https://doi.org/10.2807/1560-7917.es.2025.30.19.2400185Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2807/1560-7917.es.2025.30.19.2400185Direct OA link when available
- Concepts
-
Public health, MEDLINE, Infectious disease (medical specialty), Equity (law), Evidence-based medicine, Medicine, Grading (engineering), Evidence-based practice, Disease, Management science, Alternative medicine, Political science, Pathology, Law, Civil engineering, Engineering, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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63Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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