IHI Lessons on Effective Knowledge Networks to Support Pandemic Response

Learning about Learning: Lessons on Effective Knowledge Networks to Support Pandemic Response
Institute for Healthcare Improvement 19 February 2021

• A re-examination of knowledge networks by the IHI, asking what is durable from our prior experience and what is new and findings about learning networks that work. Includes a collection of articles, papers, and books from IHI on the topic to date.

Flipping the paradigm: a qualitative exploration of research translation centres in the United Kingdom and Australia.

Flipping the paradigm: a qualitative exploration of research translation centres in the United Kingdom and Australia.
Health Res Policy Syst. 2020 Sep 29;18(1):111. doi: 10.1186/s12961-020-00622-9. 

• Research Translation Centres (RTCs), sometimes referred to as Academic Health Science Centres, are designed to bring universities and healthcare providers together in order to accelerate the generation and translation of new evidence that is responsive to health service and community priorities. Semi-structured interviews were conducted with selected leaders and members from select RTCs in England (n=22) and Australia (n=19). 
• Participants identified the need for performance measures that capture community impact. Better aligned success metrics, enhanced leadership, strategies to partner with patients and the public, enhanced workforce development and strategies to enhance collaboration were all identified as crucial for RTCs to succeed.

Using the NHS Knowledge Mobilisation Framework to capture lessons from COVID-19 (and beyond)

Using the NHS Knowledge Mobilisation Framework to capture lessons from COVID-19 (and beyond)
RealKM 10 September 2020

• The Knowledge Mobilisation Framework is designed to help individuals to develop and use skills to mobilise knowledge effectively in their organisations. It can help them to learn before, during, and after everything they do, so that pitfalls can be avoided and best practice replicated.

Knowledge translation strategies for dissemination with a focus on healthcare recipients: an overview of systematic reviews.

Knowledge translation strategies for dissemination with a focus on healthcare recipients: an overview of systematic reviews.
Implementation Sci 15, 14 (4 March 2020). https://doi.org/10.1186/s13012-020-0974-3

• An overview of systematic reviews identified 44 systematic reviews that describe effective strategies to disseminate health knowledge to the public, patients, and caregivers (aka knowledge translation). 
• Effectiveness improved when interventions were combined, frequent, and/or intense over time. 
• In relation to barriers and facilitators, lack of health literacy or e-literacy could increase inequities, and the benefits of social media were also emphasized, for example by widening access to health information for ethnic minorities and lower socioeconomic groups.

Abstract

Utilising social media to educate and inform about evidence-based healthcare

Utilising social media to educate and inform healthcare professionals, policy-makers and the broader community in evidence-based healthcare
BMJ Evidence-Based Medicine 22 May 2019;24:87–89

• The ability to objectively determine the impact of social media on knowledge translation is challenging. However, there are ways to assess the quality of social media research, the quality of social media modalities such as blogs and podcasts and the potential impact of social media on dissemination of knowledge.
• Social media use... is associated with the development of communities of practice that promote the transfer of information at scale, crossing institutional and geographical boundaries not previously possible. These forums also allow shared conversations around critical appraisal of new evidence that is transparent and accessible to users.
• NOECO - a framework for reporting research in healthcare social media
• Network eg twitter
• Object eg hastags or post sentiment analysis
• Engine eg symplur or semantria
• Comparison eg regular distribution vs clustering in twitter
• Observation eg twitter users clustered around few noted or sentiment in a community changed after an event