Evidence map›Paper›PMID 40835965›Full record

SynthesisGlobal health research and policy2025

Prioritizing policy issues for knowledge translation: a critical interpretive synthesis.

Racha Fadlallah, Fadi El-Jardali, Tanja Kuchenmüller, Kaelan Moat, Marge Reinap, Mehrnaz Kheirandish, Lama Bou Karroum, Najla Daher, Nour Kalach, Lama Hishi and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Global health research and policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Racha FadlallahDepartment of Health Management and Policy, American University of Beirut, Beirut, Lebanon.
Fadi El-JardaliDepartment of Health Management and Policy, American University of Beirut, Beirut, Lebanon. fe08@aub.edu.lb.
Tanja KuchenmüllerResearch for Health, Science Division, World Health Organization, Geneva, Switzerland.
Kaelan MoatMcMaster Health Forum/WHO Collaborating Centre for Evidence-Informed Policy, McMaster University, Hamilton, ON, Canada.
Marge ReinapDivision of Country Health Policies and Systems, WHO Regional Office for Europe, Copenhagen, Denmark.
Mehrnaz KheirandishDepartment of Science, Information and Dissemination, WHO Regional Office for the Eastern Mediterranean, Cairo, Egypt.
Lama Bou KarroumDepartment of Health Management and Policy, American University of Beirut, Beirut, Lebanon.
Najla DaherKnowledge to Policy (K2P) Center, American University of Beirut, Beirut, Lebanon.
Nour KalachKnowledge to Policy (K2P) Center, American University of Beirut, Beirut, Lebanon.
Lama HishiCenter for Systematic Reviews on Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon.
Gladys Honein-AbouHaidarHariri School of Nursing, American University of Beirut, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile calls for promoting evidence-informed policymaking (EIP) have become stronger in recent years, there is a paucity of methods to prioritize issues for knowledge translation (KT) and EIP. As requested by WHO and as part of efforts to address this gap, we conducted a critical interpretive synthesis (CIS) to develop a conceptual framework that outlines the features of priority-setting processes and contextual factors influencing the prioritization of issues for KT efforts.

methodsWe systematically reviewed the literature and used an interpretive analytic approach-the CIS-to synthesize the results and develop the conceptual framework. We used a "compass" question to create a detailed search strategy and conducted electronic searches to identify papers based on their potential relevance to priority-setting for KT efforts and EIP.

resultsWe identified 161 eligible papers. Our findings on key features of the priority-setting process unpacked three 3 levels of constructs: 'pathways' for identifying and prioritizing policy issues for knowledge translation efforts; 'phases' within each pathway; and 'steps' for each phase. There are three main pathways: (1) explicit and systemic priority-setting processes involving policymakers and stakeholders to determine priority topics (collaborative); (2) a policymaker or stakeholder brings an issue forward or asks for evidence on a particular topic (demand-driven); and (3) a need or policy gap is identified by a knowledge translation platform (supply-driven). Within each pathway, four phases emerged: "Preparatory", "prioritization", "knowledge translation" and "scale-up and sustainability". Across these phases, the following steps were identified: establishing a core team, defining a scope, confirming a timeline, sensitizing stakeholders, generating potential issues, gathering contextual information, setting guiding principles, selecting prioritization criteria, applying the method for prioritization, documenting and communicating priorities, validating and revising priorities, selecting venue for decision-making, implementing priorities, monitoring and evaluation, promoting institutionalization, and engaging in peer learning and exchange of experience. We identified engaging stakeholders and strengthening capacity as cross-cutting elements. Our findings on contextual factors unpacked four categories: (1) institutions; (2) ideas; (3) interests; and (4) external factors.

conclusionsThis CIS generated a multi-level conceptual framework for prioritizing issues for KT efforts and laid the foundation for a WHO tool that supports prioritization in practice. The study contributes meaningfully to both the literature and the operationalization of KT and EIP.

Indexed as

Health PolicyHealth PrioritiesPolicy MakingTranslational Research, BiomedicalHumansConceptual frameworkCritical interpretive synthesisEvidence-informed policymakingKnowledge translationPrioritization of issuesPriority setting

Identifiers

PMID40835965
PMCPMC12366224

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.