Evidence map›Paper›PMID 35217289›Full record

ArticleEvaluation and program planning2022

A comprehensive monitoring and evaluation framework for evidence to policy networks.

Tanja Kuchenmüller, Evelina Chapman, Ryoko Takahashi, Louise Lester, Marge Reinap, Moriah Ellen, Michelle M Haby

Abstract read
In one paragraph

Article in Evaluation and program planning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Tanja KuchenmüllerWHO Regional Office for Europe, Copenhagen, Denmark. Electronic address: kuchenmullert@who.int.
Evelina ChapmanWHO Regional Office for Europe, Copenhagen, Denmark. Electronic address: evelinachap@gmail.com.
Ryoko TakahashiWHO Regional Office for Europe, Copenhagen, Denmark. Electronic address: takahashiry@who.int.
Louise LesterPublic Health, Nottinghamshire County Council, West Bridgford, Nottinghamshire, United Kingdom. Electronic address: louise.e.lester@hotmail.co.uk.
Marge ReinapWHO Regional Office for Europe, Copenhagen, Denmark. Electronic address: reinapm@who.int.
Moriah EllenDepartment of Health Policy and Management, Guilford Glazer Faculty of Business and Management and Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel. Electronic address: ellenmo@bgu.ac.il.
Michelle M HabyDepartamento de Ciencias Químico Biológicas, Universidad de Sonora, Hermosillo, Sonora, Mexico; Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia. Electronic address: haby@unimelb.edu.au.

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectiveTo describe the development of a framework for monitoring and evaluating knowledge translation (KT) networks.

methodThe framework was developed using mixed methods over four phases, including i) a targeted literature review of KT networks, activities and indicators, ii) two scoping reviews to further enhance the set of indicators, iii) peer-reviews by international KT experts and an online expert consultation, and iv) piloting.

resultsA comprehensive theory of change (ToC) and indicators, both for the Network Secretariat and its participating member countries, were identified to develop the monitoring and evaluation framework. The framework includes (i) a ToC, including three key indicator domains across the results chain (outputs, short term outcomes, intermediate outcomes), and (ii) indicators for the three key domains, that can be selected depending on the stage of network maturity, along with suggested data collection methods. The three key indicator domains are 1) KT capacity and skill building; 2) network (structure, governance and leadership); and 3) KT/evidence-informed policy value and culture.

conclusionThe monitoring and evaluation framework that links KT activities with policy and health outcomes fills an important gap in optimizing KT procedures, generating lessons learned and increasing accountability of major multipartner KT networks.

Indexed as

Policy MakingTranslational Research, BiomedicalHealth PolicyHumansLeadershipProgram EvaluationEvidence-informed policyKnowledge translationMonitoring and evaluation frameworkNetwork

Identifiers

PMID35217289
PMCPMC7614046

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Registered trials

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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.