ArticleHealth research policy and systems2020
Uncovering the processes of knowledge transformation: the example of local evidence-informed policy-making in United Kingdom healthcare.
Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- The effectiveness of knowledge-sharing techniques and approaches in research funded by the National Institute for Health and Care Research (NIHR): a systematic review.Health research policy and systems · 2024Pooled it
- Addressing hidden tensions and grey areas of general practice: a qualitative study of the experiences of newly qualified GPs attending a course on generalist medicine.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024Article
- Using Twitter (X) to Mobilize Knowledge for First Contact Physiotherapists: Qualitative Study.Journal of medical Internet research · 2024Article
- Why all clinical guideline recommendations are 'Conditional'.Clinical and public health guidelines · 2024Article
- Identification of key factors affecting the future of knowledge translation in Iranian health policy-making.Journal of education and health promotion · 2024Article
- The usage of data in NHS primary care commissioning: a realist evaluation.BMC primary care · 2023Article
- Tapping into the power of coproduction and knowledge mobilisation: Exploration of a facilitated interactive group learning approach to support equity-sensitive decision-making in local health and care services.Health expectations : an international journal of public participation in health care and health policy · 2023Article
- The usage of data in NHS primary care commissioning: a realist review.BMC medicine · 2023Review
- Identifying core strategies and mechanisms for spreading a national medicines optimisation programme across England-a mixed-method study applying qualitative thematic analysis and Qualitative Comparative Analysis.Implementation science communications · 2022Article
- Research can be integrated into public health policy-making: global lessons for and from Spanish economic evaluations.Health research policy and systems · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealthcare policy-makers are expected to develop 'evidence-based' policies. Yet, studies have consistently shown that, like clinical practitioners, they need to combine many varied kinds of evidence and information derived from divergent sources. Working in the complex environment of healthcare decision-making, they have to rely on forms of (practical, contextual) knowledge quite different from that produced by researchers. It is therefore important to understand how and why they transform research-based evidence into the knowledge they ultimately use.
methodsWe purposively selected four healthcare-commissioning organisations working with external agencies that provided research-based evidence to assist with commissioning; we interviewed a total of 52 people involved in that work. This entailed 92 interviews in total, each lasting 20-60 minutes, including 47 with policy-making commissioners, 36 with staff of external agencies, and 9 with freelance specialists, lay representatives and local-authority professionals. We observed 25 meetings (14 within the commissioning organisations) and reviewed relevant documents. We analysed the data thematically using a constant comparison method with a coding framework and developed structured summaries consisting of 20-50 pages for each case-study site. We iteratively discussed and refined emerging findings, including cross-case analyses, in regular research team meetings with facilitated analysis. Further details of the study and other results have been described elsewhere.
resultsThe commissioners' role was to assess the available care provision options, develop justifiable arguments for the preferred alternatives, and navigate them through a tortuous decision-making system with often-conflicting internal and external opinion. In a multi-transactional environment characterised by interactive, pressurised, under-determined decisions, this required repeated, contested sensemaking through negotiation of many sources of evidence. Commissioners therefore had to subject research-based knowledge to multiple 'knowledge behaviours'/manipulations as they repeatedly re-interpreted and recrafted the available evidence while carrying out their many roles. Two key 'incorporative processes' underpinned these activities, namely contextualisation of evidence and engagement of stakeholders. We describe five Active Channels of Knowledge Transformation - Interpersonal Relationships, People Placement, Product Deployment, Copy, Adapt and Paste, and Governance and Procedure - that provided the organisational spaces and the mechanisms for commissioners to constantly reshape research-based knowledge while incorporating it into the eventual policies that configured local health services.
conclusionsOur new insights into the ways in which policy-makers and practitioners inevitably transform research-based knowledge, rather than simply translate it, could foster more realistic and productive expectations for the conduct and evaluation of research-informed healthcare provision.
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Registered trials
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.