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.
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http://dx.doi.org/10.1016/j.puhip.2024.100516 | DOI Listing |
Nat Commun
January 2025
NMR-based Structural Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Membrane bound histidine kinases (HKs) are ubiquitous sensors of extracellular stimuli in bacteria. However, a uniform structural model is still missing for their transmembrane signaling mechanism. Here, we used solid-state NMR in conjunction with crystallography, solution NMR and distance measurements to investigate the transmembrane signaling mechanism of a paradigmatic citrate sensing membrane embedded HK, CitA.
View Article and Find Full Text PDFCarbohydr Polym
March 2025
School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea; Department of MetaBioHealth, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea; Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea; Institute of Quantum Biophysics (IQB), Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea. Electronic address:
Tendons are anisotropic tissues with exceptional mechanical properties, which result from their unique anisotropic structure and mechanical behavior under stress. While research has focused on replicating anisotropic structures and mechanical properties of tendons, fewer studies have examined their specific mechanical behaviors. Here, we present a simple method for creating calcium-crosslinked alginate-based double-network hydrogels that mimics tendons by exhibiting anisotropic structure, high mechanical strength and toughness, and a distinctive "toe region" when stretched.
View Article and Find Full Text PDFBMJ Open
January 2025
Migrant Health, Barcelona Institute for Global Health, Barcelona, Spain
Introduction: The Middle East and North Africa (MENA) region is characterised by major health disparities and complex migration flows. Yet, because of a lack of epidemiological data, there is an urgent need to strengthen routine data collection around migrant health and to define key indicators towards migrant health monitoring. To address this problem, we aim to design and pilot test the Migrant Health Country Profile tool (MHCP-t) which can collate country-level data collection around migration health data, policies and healthcare provision.
View Article and Find Full Text PDFBiol Psychiatry
January 2025
Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York City, NY, 10029; Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York City, NY, 10029. Electronic address:
Background: Valid scalable biomarkers for predicting longitudinal clinical outcomes in psychiatric research are crucial for optimizing intervention and prevention efforts. Here we recorded spontaneous speech from initially abstinent individuals with cocaine use disorder (iCUD) for use in predicting drug use outcomes.
Methods: At baseline, 88 iCUD provided 5-minute speech samples describing the positive consequences of quitting drug use and negative consequences of using drugs.
Drug Discov Today
January 2025
National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR 72079, USA. Electronic address:
The growing impact of large language models (LLMs), such as ChatGPT, prompts questions about the reliability of their application in public health. We compared drug toxicity assessments by GPT-4 for liver, heart, and kidney against expert assessments using US Food and Drug Administration (FDA) drug-labeling documents. Two approaches were assessed: a 'General prompt', mimicking the conversational style used by the general public, and an 'Expert prompt' engineered to represent an approach of an expert.
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