New Editors in Chief of Evidence & Policy

We are pleased to introduce the new Editors in Chief of Evidence & Policy: Professor Zachary Neal, Michigan State University, USA and Professor Caroline Oliver, University College London, UK, who took over from the journal’s previous Co-Editors Professor Katherine Smith, University of Strathclyde, UK and Dr Mark Pearson, Hull York Medical School, UK as of January 2022.

Evidence & Policy is the first peer-reviewed journal dedicated to a comprehensive and critical assessment of the relationship between researchers and the evidence they produce and the concerns of policymakers and practitioners.

International in scope and interdisciplinary in focus, it addresses the needs of those who develop public policies, provide public services, or provide the research base for evaluation and development across a wide range of social and public policy issues (e.g. criminal justice, employment and welfare, education, environmental protection, finance, health, housing, international development, social care, and transport), and those who are working to connect the two (such as knowledge brokers).

Zachary Neal, Incoming Co-Editor in Chief of Evidence & Policy, said:

“Mark Pearson and Katherine Smith have done amazing work to establish Evidence & Policy as a leading outlet for research on knowledge translation. I am excited to build on their hard work and look forward to incorporating open science practices that help make this research transparent and available to everyone.”

Caroline Oliver, Incoming Co-Editor in Chief of Evidence & Policy, said:

“It feels an honour to take on the role as Co Editor in Chief with Zak, and we look forward to continuing the great work that Katherine and Mark have done with Evidence & Policy over recent years. In this position, I am looking forward to maintaining the high quality of publications in the journal, as well as encouraging a diversification of articles published in terms of geographic focus, topics, disciplines and theoretical underpinnings, to further that aim.”

We join Professor Neal and Professor Oliver in thanking Co-Editors Professor Katherine Smith, University of Strathclyde, UK and Dr Mark Pearson, Hull York Medical School, UK for their dedication, their excellent stewardship of the journal and the many achievements that have marked their term as Editors in Chief.

Bridging the research‐policy gap: the importance of effective identity leadership and shared commitment

Frank Mols

This blog post is based on the Evidence & Policy article ‘Bridging the research‐policy gap: the importance of effective identity leadership and shared commitment

There is widespread agreement, among public policy scholars, that research evidence does not translate readily into policy practice, and that more needs to be done to ‘bridge the gap’ between policy research and policy practice. But why is it so difficult to achieve evidence-based policy in practice?

An important reason for this mismatch is that there are typically different sources of knowledge and evidence, and because stakeholders will often disagree which of these sources of evidence should inform policy. Such disagreements are common when dealing with complex ‘wicked’ policy problems.

As researchers have shown, policy researchers and policy workers often feel as though they live and work in different worlds. Policy researchers are often disappointed their research finding are being ignored, while policy workers tend to complain that policy research lacks practical relevance.

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What I’ve learnt about participatory budgeting for research funding decisions since publishing

Cobi Calyx

I’ve learnt a few things in the few weeks since my Evidence & Policy debate article about using participatory budgeting for research funding decisions has been published. This article emerged from my PhD research about tradeoffs in deliberative public engagement with science. It argues that using participatory budgeting public engagement methods to make research funding decisions would further the international shift towards public participation in governance.

More controversially, my article argues that this would be a better way to reform research funding than lotteries, which others’ research indicates would be better than current norms. Norms are changing though – one of the things I’ve learnt more about since publishing this article is how the Health Research Council of New Zealand has been using a lottery to allocate some grants. They have been doing that for long enough to publish a peer-reviewed paper about it.

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Lessons from the field about how to ‘nudge plus’

Liz Richardson and Peter John

Behaviour change policies, known as nudges, have been used by governments across the world to get people to behave in pro-social ways, such as making healthier lifestyle choices or reducing their environmental footprints. Nudges use behavioural insights to steer people into doing the right thing, while also giving them the choice. Critics argue that traditional nudge policies are top-down, manipulative and un-transparent. Nudge policies seem to expect the worse in people, and are easy to caricature as a technocratic approaches to policy design.

However, a new kind of nudge – ‘nudge plus’ – has started to spring up. Nudge plus tackles the risks of paternalism in traditional approaches through the participation of those being nudged.  If nudges are going to be even more ‘bottom-up’, how can such behavioural public policies be developed?

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When evidence alone is not enough: the politics and policy of water fluoridation

Matthew Flinders, Gary Lowery and Barry Gibson

The COVID-19 pandemic has sparked a major debate about the role of experts in policymaking and the capacity of politicians to ‘follow the science’. The trend we have seen, where expert advisers have increasingly become the public face of the pandemic, raises questions about the evolving role of experts in other public policy challenges – including challenges where the scientific base is arguably far clearer about effective policy responses. If politicians are willing to ‘follow the science’ with such diligence in relation to COVID-19, why does the same principle not apply to other public health challenges?

Why, for example, when paediatric oral health remains a dire challenge for the UK, don’t politicians ‘follow the science’ in relation to the apparent benefits of fluoridating public drinking water? This is a question that a two-year project at the University of Sheffield has sought to answer through our recent Evidence & Policy article, ‘When evidence alone is not enough: the problem, policy and politics of water fluoridation in England’ . On balance, the available data confirms that fluoridation is a low-cost, high-benefit, low-risk response, which explains its promotion by global health bodies.

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Four practical steps to increase knowledge exchange between researchers and policymakers

Peter van der Graaf

Keen to have impact with your research but getting lost in all the knowledge exchange frameworks and models that are out there? Based on ten years’ experience working in translational public health for Fuse – The Centre for Translational Research in Public Health, a UK Clinical Research Centre collaboration across five universities in North East England, we identified four practical steps to develop collaborative research and achieve meaningful change in policy and practice.

The challenges of using research to inform policy and practice are well documented, including in public health where the evidence base for interventions or programmes is patchy or contested. In response to these challenges, an abundance of models and frameworks have been developed in recent years that try to define the knowledge exchange process (how research evidence can be used, in combination with other types of knowledge, to change policy and practice). Practitioners and researchers venturing into the field of knowledge exchange are bewildered by the options available, which don’t go beyond the conceptual level and fail to describe in practical terms what research translation on the ground looks like.

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Is evidence-based policymaking driven by Machiavellianism or altruism in US states?

Luke Yingling and Daniel J. Mallinson

We find that the adoption of evidence-based policies in US states is driven more by Machiavellianism than altruism. Although engagement with evidence-based policymaking (EBP) can produce more efficient and effective government, it can also supply new levers of control to politicians and bureaucrats, which can be used to produce electoral benefits. An appeal to EBP can be used to centralise control of executive functions, as well as to manipulate budgets, that incentivise adoption. Further, the construction, purpose and outcomes of these laws are influenced by the institutions, parties and officeholders who craft them. Our study finds that Democratic governors, Republican legislatures and state innovativeness are significant predictors of EBP adoption in the American states. 

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Knowledge translation opportunities and challenges

Web

Agnes Black

Complexity in healthcare systems presents knowledge translation (KT) challenges but also opportunities. Our Evidence & Policy article, ‘Connecting knowledge and action in complex health systems: examples from British Columbia, Canada’, illustrates ways we have harnessed complexity to narrow the gap between knowledge and action. We work across different health authorities and funding agencies building strong relationships with those who use research, fostering innovation, supporting evidence-based decision-making and helping people to de-implement obsolete practices. We share a commitment to building strong connections between knowledge and action, and our work is enhanced by embracing the inherent intricacies of the systems in which we work.

We share examples from our practice areas of how we navigate the demands of knowledge translation using responsive solutions and relationship building to support KT that promotes health. While many health systems leaders continue to perceive researchers and research as irrelevant and disconnected from their realities, we have found that when research is undertaken with people who use it, reciprocal and responsive relationships can overcome this barrier and lead to collaborations that support healthcare improvements. Embracing research as a public good requires reimagining the relationships and structures of both research and KT, and we are encouraged by the many ways we’ve seen this happen.

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Implementing shared decision-making into practice: embracing complexity

Light string

Sarah Munro

How do we implement shared decision-making into routine practice? Health systems are struggling with this question worldwide. Instead of simplifying this challenge into barriers and facilitators, what if we embraced its complexity? 

In recent years there have been increasing calls for the implementation of shared decision-making in routine clinical care. Shared decision-making is particularly helpful for decisions where there are multiple appropriate options, and the ‘best’ decision rests with the patient’s preferences.

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How do we maximise the impact of federal funds by embracing ideas from the field of implementation science?

Allison Dymnicki

In my work with federal agencies over the last 15 years on violence prevention, social emotional learning, mental health and homelessness, the idea of translating research to practice has become increasingly important. We know there is a gap between what we discover through research and what is applied by practitioners, funders and policymakers. 

Over the past decade, federal agencies — and the US Department of Health and Human Services (HHS), in particular — have sought to learn more about the ‘science’ of implementing programmes, practices and policies. They want to invest smartly and do a better job of ensuring the most evidence-based decisions. These are noble goals — especially during this pandemic, when health and human service organizations are being asked to do things they have never done before, with lightning speed. Unfortunately, it gets complicated fast: Each field has its own terminology, frameworks and measures, making it difficult to synthesise information and create a shared body of knowledge across disciplines. So where do we start? 

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