Developing the embedded researcher role: Learning from the first year of the National Institute for Health and Care Research (NIHR), Health Determinants Research Collaboration (HDRC), Doncaster, UK.

Background: Strategies to embed research knowledge into decision making contexts include the Embedded Research (ER) model, which involves the collocation of academic researchers in non-academic organisations such as hospitals and local authorities. A local authority in Doncaster, United Kingdom (UK) has adopted an embedded researcher model within the National Institute for Health and Care Research (NIHR), Health Determinants Research Collaboration (HDRC). This five-year collaboration enables universities and local authorities to work together to reduce health inequalities and target the social determinants of health. Building on previous embedded research models, this approach is unique due to its significant scale and long-term investment. In this opinion paper Embedded Researchers (ERs) reflect on their experiences of the first year of the collaboration. Study design: A reflective consultation exercise. Methods: Observation of HDRC delivery meetings, as well as informal discussions and a short proforma with ERs (N = 8). Results: ERs valued the five-year timeframe which provided a unique opportunity for strengthened relationships and to apply formative learning as the programme progressed. However, differences in knowledge of undertaking research across the HDRC team and between practitioners and academics require each to respect different professional experiences and to avoid potential power imbalances. Diverse projects required researchers to be generalists, applying their expertise to multiple topics. This requires careful priority setting alongside workload and expectation management. Conclusions: The significant scale and investment of the HDRC provides a unique opportunity for developing the ER role by applying formative learning as the programme progresses. However, success will require careful management of workload allocation and relationships between ERs and practitioners. Further learning on how to embed ERs within local authority contexts will emerge as the programme matures.

Mesoscale blood cell sedimentation for processing millilitre sample volumes.

We demonstrate the efficient separation of blood cells from millilitre volumes of whole blood in minutes using a simple gravity sedimentation device. Blood cell and plasma separation is often the initial step in clinical diagnostics, and reliable separation techniques have remained a major obstacle for the success of point-of-care or remote diagnostics. Unlike plasma collection devices that rely solely on microchannels that restrict sample volume and throughput, we demonstrate the use of a hybrid micro/mesoscale sedimentation chamber to enable >99% capture of cells from millilitre blood samples in less than two minutes.