scholarly journals A formative evaluation of Collaboration for Leadership in Applied Health Research and Care (CLAHRC): institutional entrepreneurship for service innovation

2014 ◽  
Vol 2 (31) ◽  
pp. 1-124 ◽  
Author(s):  
Andy Lockett ◽  
Nellie El Enany ◽  
Graeme Currie ◽  
Eivor Oborn ◽  
Michael Barrett ◽  
...  

BackgroundCollaborations for Leadership in Applied Health Research and Care (CLAHRCs) are a time-limited funded initiative to form new service and research collaboratives in the English health system. Their aim is to bring together NHS organisations and universities to accelerate the translation of evidence-based innovation into clinical practice. In doing so, CLAHRCs are positioned to help close the second translation gap (T2), which is described as the problem of introducing and implementing new research and products into clinical practice.ObjectivesIn this study, we draw on ideas from institutional theory and institutional entrepreneurship to examine how actors may engage in reshaping existing institutional practices in order to support, and help sustain efforts to close the T2. Our objective was to understand how the institutional context shapes actors’ attempts to close the T2 by focusing on the CLAHRC initiative.MethodsThe study employed a longitudinal mixed-methods approach. Qualitative case studies combined interview data (174 in total across all nine CLAHRCs and the four in-depth sites), archival data and field notes from observations, over a 4-year period (2009–13). Staff central to the initiatives were interviewed, including CLAHRC senior managers; theme leads; and other higher education institution and NHS staff involved in CLAHRCs. Quantitative social network analysis (SNA) employed a web-based sociometric approach to capture actors’ own individual (i.e. ego) networks of interaction across two points in time (2011 and 2013) in the four in-depth sites, and their personal characteristics and roles.ResultsWe developed a process-based model of institutional entrepreneurship that encompassed the different types of work undertaken. First, ‘envisaging’ was the work undertaken by actors in developing an ‘embryonic’ vision of change, based on the interplay between themselves and the context in which they were situated. Second, ‘engaging’ was the work through which actors signed up key stakeholders to the CLAHRC. Third, ‘embedding’ was the work through which actors sought to reshape existing institutional practices so that they were more aligned with the ideals of CLAHRC. ‘Reflecting’ involved actors reconsidering their initial decisions, and learning from the process of establishing CLAHRCs. Furthermore, we employed the qualitative data to develop five different archetype models for organising knowledge translation, and considered under what founding conditions they are more or less likely to emerge. The quantitative SNA results suggested that actors’ networks changed over time, but that important institutional influences continued to constrain patterns of interactions of actors across different groups.ConclusionThe development of CLAHRCs holds important lessons for policy-makers. Policy-makers need to consider whether or not they set out a defined template for such translational initiatives, since the existence of institutional antecedents and the social position of actors acted to ‘lock in’ many CLAHRCs. Although antecedent conditions and the presence of pre-existing organisational relationships are important for the mobilisation of CLAHRCs, these same conditions may constrain radical change, innovation and the translation of research into practice. Future research needs to take account of the effects of institutional context, which helps explain why many initiatives may not fully achieve their desired aims.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

Author(s):  
Peter W G Tennant ◽  
Eleanor J Murray ◽  
Kellyn F Arnold ◽  
Laurie Berrie ◽  
Matthew P Fox ◽  
...  

Abstract Background Directed acyclic graphs (DAGs) are an increasingly popular approach for identifying confounding variables that require conditioning when estimating causal effects. This review examined the use of DAGs in applied health research to inform recommendations for improving their transparency and utility in future research. Methods Original health research articles published during 1999–2017 mentioning ‘directed acyclic graphs’ (or similar) or citing DAGitty were identified from Scopus, Web of Science, Medline and Embase. Data were extracted on the reporting of: estimands, DAGs and adjustment sets, alongside the characteristics of each article’s largest DAG. Results A total of 234 articles were identified that reported using DAGs. A fifth (n = 48, 21%) reported their target estimand(s) and half (n = 115, 48%) reported the adjustment set(s) implied by their DAG(s). Two-thirds of the articles (n = 144, 62%) made at least one DAG available. DAGs varied in size but averaged 12 nodes [interquartile range (IQR): 9–16, range: 3–28] and 29 arcs (IQR: 19–42, range: 3–99). The median saturation (i.e. percentage of total possible arcs) was 46% (IQR: 31–67, range: 12–100). 37% (n = 53) of the DAGs included unobserved variables, 17% (n = 25) included ‘super-nodes’ (i.e. nodes containing more than one variable) and 34% (n = 49) were visually arranged so that the constituent arcs flowed in the same direction (e.g. top-to-bottom). Conclusion There is substantial variation in the use and reporting of DAGs in applied health research. Although this partly reflects their flexibility, it also highlights some potential areas for improvement. This review hence offers several recommendations to improve the reporting and use of DAGs in future research.


Author(s):  
Peter WG Tennant ◽  
Wendy J Harrison ◽  
Eleanor J Murray ◽  
Kellyn F Arnold ◽  
Laurie Berrie ◽  
...  

ABSTRACTBackgroundDirected acyclic graphs (DAGs) are an increasingly popular approach for identifying confounding variables that require adjustment when estimating causal effects. This review examined the use of DAGs in applied health research to inform recommendations for improving their transparency and utility in future research.MethodsOriginal health research articles published during 1999-2017 mentioning “directed acyclic graphs” or similar or citing DAGitty were identified from Scopus, Web of Science, Medline, and Embase. Data were extracted on the reporting of: estimands, DAGs, and adjustment sets, alongside the characteristics of each article’s largest DAG.ResultsA total of 234 articles were identified that reported using DAGs. A fifth (n=48, 21%) reported their target estimand(s) and half (n=115, 48%) reported the adjustment set(s) implied by their DAG(s).Two-thirds of the articles (n=144, 62%) made at least one DAG available. Diagrams varied in size but averaged 12 nodes (IQR: 9-16, range: 3-28) and 29 arcs (IQR: 19-42, range: 3-99). The median saturation (i.e. percentage of total possible arcs) was 46% (IQR: 31-67, range: 12-100). 37% (n=53) of the DAGs included unobserved variables, 17% (n=25) included super-nodes (i.e. nodes containing more than one variable, and a 34% (n=49) were arranged so the constituent arcs flowed in a consistent direction.ConclusionsThere is substantial variation in the use and reporting of DAGs in applied health research. Although this partly reflects their flexibility, it also highlight some potential areas for improvement. This review hence offers several recommendations to improve the reporting and use of DAGs in future research.


2021 ◽  
Author(s):  
Helen J J. Smith ◽  
Luke Budworth ◽  
Chloe Grindey ◽  
Isabel Hague ◽  
Natalie Hamer ◽  
...  

Background Interest in and use of co-production in healthcare services and research is growing. Previous reviews have summarised co-production approaches in use, collated outcomes and effects of co-production and focused on replicability and reporting, but none have critically reflected on how co-production in applied health research might be evolving and the implications of this for future research. We aim to conduct a scoping review to systematically map recent literature on co-production in applied health research in the UK to inform co-production practice and guide future methodological research. Methods Scoping review using established methods. We will created an evidence map to show the extent and nature of the literature on co-production and applied health research, based on this we described the characteristics of the articles and scope of the literature and summarised conceptualisations of co-production and how it was implemented. We will extract implications for co-production practice or future research and conduct a content analysis of this information to identify lessons for the practice of co-production and themes for future methodological research. Results We will report on lessons for the practice of co-production and themes for future research on co-production.


2015 ◽  
Vol 3 (25) ◽  
pp. 1-208 ◽  
Author(s):  
Bryony Soper ◽  
Saba Hinrichs ◽  
Samuel Drabble ◽  
Ohid Yaqub ◽  
Sonja Marjanovic ◽  
...  

BackgroundIn 2008, the National Institute for Health Research (NIHR) in England established nine Collaborations for Leadership in Applied Health Research and Care (CLAHRCs) to develop partnerships between universities and local NHS organisations focused on improving patient outcomes through the conduct and application of applied health research.ObjectivesThe study explored how effectively the CLAHRCs supported the ‘translation’ of research into patient benefit, and developed ways of doing applied research that maximised its chances of being useful to the service and the capacity of the NHS to respond. It focused on three issues: (1) how the NHS influenced the CLAHRCs, and vice versa; (2) how effective multistakeholder and multidisciplinary research and implementation teams were built in the CLAHRCs; (3) how the CLAHRCs supported the use of research knowledge to change commissioning and clinical behaviour for patient benefit.MethodsThe study adopted an adaptive and emergent approach and incorporated a formative evaluation. An initial phase mapped the landscape of all nine CLAHRCs and the context within which they were established, using document analysis, workshops and interviews, and a literature review. This mapping exercise identified the three research questions that were explored in phase 2 through a stakeholder survey of six CLAHRCs, in-depth case studies of two CLAHRCs, validation interviews with all nine CLAHRCs and the NIHR, and document review.Results(1) The local remit and the requirement for matched NHS funding enhanced NHS influence on the CLAHRCs. The CLAHRCs achieved positive change among those most directly involved, but the larger issue of whether or not the CLAHRCs can influence others in and across the NHS remains unresolved. (2) The CLAHRCs succeeded in engaging different stakeholder groups, and explored what encouraged specific groups to become involved. Being responsive to people’s concerns and demonstrating ‘quick wins’ were both important. (3) There was some evidence that academics were becoming more interested in needs-driven research, and that commissioners were seeing the CLAHRCs as a useful source of support. A growing number of completed projects had demonstrated an impact on clinical practice.ConclusionsThe CLAHRCs have included NHS decision-makers in research and researchers in service decision-making, and encouraged research-informed practice. All the CLAHRCs (as collaborations) adopted relationship models. However, as the complexities of the challenges they faced became clearer, it became obvious that a focus on multidisciplinary relationships was necessary, but not sufficient on its own. Attention also has to be paid to the systems within and through which these relationships operate.Recommendations for researchFuture research should compare areas with an Academic Health Science Network (AHSN) and a CLAHRC with areas with just an AHSN, to understand the difference CLAHRCs make. There should be work on understanding implementation, such as the balancing of rigour and relevance in intervention studies; systemic barriers to and facilitators of implementation; and tailoring improvement interventions. There is also a need to better understand the factors that support the explicit use of research evidence across the NHS, and the processes and mechanisms that support the sustainability and scale-up of implementation projects. Research should place emphasis on examining the role of patient and public involvement in CLAHRCs and of the relation between CLAHRCs and NHS commissioners.FundingThe NIHR Health Services and Delivery Research programme.


2002 ◽  
Author(s):  
Carolyn M. Mazure ◽  
Laura J. Bierut ◽  
Steven D. Hollon ◽  
Susan G. Kornstein ◽  
Charlotte Brown

2020 ◽  
Author(s):  
Jay Joseph Van Bavel ◽  
Elizabeth Ann Harris ◽  
Philip Pärnamets ◽  
Steve Rathje ◽  
Kimberly Doell ◽  
...  

The spread of misinformation, including “fake news,” propaganda, and conspiracy theories, represents a serious threat to society, as it has the potential to alter beliefs, behavior, and policy. Research is beginning to disentangle how and why misinformation is spread and identify processes that contribute to this social problem. We propose an integrative model to understand the social, political, and cognitive psychology risk factors that underlie the spread of misinformation and highlight strategies that might be effective in mitigating this problem. However, the spread of misinformation is a rapidly growing and evolving problem; thus scholars need to identify and test novel solutions, and work with policy makers to evaluate and deploy these solutions. Hence, we provide a roadmap for future research to identify where scholars should invest their energy in order to have the greatest overall impact.


Author(s):  
Jessica Jewell ◽  
Elina Brutschin

Energy security has long been a main driver of energy policies, but its meaning has been contested by policy makers and scholars. The concept incorporates both material and intersubjective aspects, finding different expressions in different contexts and attracting the interest of diverse social actors and academic communities. This chapter identifies, compares, and contrasts five major approaches for analyzing energy security rooted in different scholarly traditions. It argues that in order to facilitate a dialogue among these approaches as well as policy comparison and learning, it is useful to conceptualize energy security as “low vulnerability of vital energy systems.” This definition opens avenues for productive research, unpacking the interplay between material and intersubjective aspects of “vulnerability” and “vitality” of energy systems. Future research should investigate the role of material factors alongside power, values, and trust in defining energy security; explain the gap between energy securitization and action; and explore the interaction between energy security and other energy policy goals.


Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2308 ◽  
Author(s):  
Can Bıyık

The smart city transport concept is viewed as a future vision aiming to undertake investigations on the urban planning process and to construct policy-pathways for achieving future targets. Therefore, this paper sets out three visions for the year 2035 which bring about a radical change in the level of green transport systems (often called walking, cycling, and public transport) in Turkish urban areas. A participatory visioning technique was structured according to a three-stage technique: (i) Extensive online comprehensive survey, in which potential transport measures were researched for their relevance in promoting smart transport systems in future Turkish urban areas; (ii) semi-structured interviews, where transport strategy suggestions were developed in the context of the possible imaginary urban areas and their associated contextual description of the imaginary urban areas for each vision; (iii) participatory workshops, where an innovative method was developed to explore various creative future choices and alternatives. Overall, this paper indicates that the content of the future smart transport visions was reasonable, but such visions need a considerable degree of consensus and radical approaches for tackling them. The findings offer invaluable insights to researchers inquiring about the smart transport field, and policy-makers considering applying those into practice in their local urban areas.


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