Background: The published literature provides few insights regarding how to develop or consider the effects of knowledge co-production partnerships in the context of delivery system science.
Objective: To describe how a healthcare organisation-university-based research partnership was developed and used to design, develop and implement a practice-integrated decision support tool for patients with a physician recommendation for colorectal cancer screening.
Design: Instrumental case study.
Participants: Data were ascertained from project documentation records and semistructured questionnaires sent to 16 healthcare organisation leaders and staff, research investigators and research staff members.
Results: Using a logic model framework, we organised the key inputs, processes and outcomes of a healthcare organisation-university-based research partnership. In addition to pragmatic researchers, partnership inputs included a healthcare organisation with a supportive practice environment and an executive-level project sponsor, a mid-level manager to serve as the organisational champion and continual access to organisational employees with relevant technical, policy and system/process knowledge. During programme design and implementation, partnership processes included using project team meetings, standing organisational meetings and one-on-one consultancies to provide platforms for shared learning and problem solving. Decision-making responsibility was shared between the healthcare organisation and research team. We discuss the short-term outcomes of the partnership, including how the partnership affected the current research team's knowledge and health system initiatives.
Conclusion: Using a logic model framework, we have described how a healthcare organisation-university-based research team partnership was developed. Others interested in developing, implementing and evaluating knowledge co-production partnerships in the context of delivery system science projects can use the experiences to consider ways to develop, implement and evaluate similar co-production partnerships.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675565 | PMC |
http://dx.doi.org/10.1136/bmjqs-2019-010059 | DOI Listing |
Nanomaterials (Basel)
December 2024
Department of Computer Engineering, Modeling, Electronics, and Systems Engineering, University of Calabria, 87036 Rende, Italy.
This paper presents Cryo-SIMPLY, a reliable smart material implication (SIMPLY) operating at cryogenic conditions (77 K). The assessment considers SIMPLY schemes based on spin-transfer torque magnetic random access memory (STT-MRAM) technology with single-barrier magnetic tunnel junction (SMTJ) and double-barrier magnetic tunnel junction (DMTJ). Our study relies on a temperature-aware macrospin-based Verilog-A compact model for MTJ devices and a 65 nm commercial process design kit (PDK) calibrated down to 77 K under silicon measurements.
View Article and Find Full Text PDFBiol Direct
January 2025
Key Laboratory of Geriatrics of Jiangsu Province, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Background: Despite the increasing body of evidence that mitochondrial activities implicate in chronic obstructive pulmonary disease (COPD), we are still far from a causal-logical and mechanistic understanding of the mitochondrial malfunctions in COPD pathogenesis.
Results: Differential expression genes (DEGs) from six publicly available bulk human lung tissue transcriptomic datasets of COPD patients were intersected with the known mitochondria-related genes from MitoCarta3.0 to obtain mitochondria-related DEGs associated with COPD (MitoDEGs).
BMC Health Serv Res
January 2025
Early Detection, Prevention & Infections Branch, International Agency for Research on Cancer, 25 Avenue Tony Garnier, Lyon, 69366 Cedex 07, France.
Background: Barriers to the cancer continuum organization and interventions to approach them have been identified; however, there is a lack of a tool matching them. Our aim was to develop a web-based tool to identify the main barriers to the process of the cancer continuum organization, and propose matched evidence-based interventions (EBI) to overcome them.
Methods: A questionnaire on barriers at six steps of the process of the cancer continuum organization was answered by collaborators.
Neuroinformatics
January 2025
Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
This paper introduces the Automated Lesion and Feature Extraction (ALFE) pipeline, an open-source, Python-based pipeline that consumes MR images of the brain and produces anatomical segmentations, lesion segmentations, and human-interpretable imaging features describing the lesions in the brain. ALFE pipeline is modeled after the neuroradiology workflow and generates features that can be used by physicians for quantitative analysis of clinical brain MRIs and for machine learning applications. The pipeline uses a decoupled design which allows the user to customize the image processing, image registrations, and AI segmentation tools without the need to change the business logic of the pipeline.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, China.
Bacterial resistance has emerged as one of the greatest threats to human health, and phages have shown tremendous potential in addressing the issue of drug-resistant bacteria by lysing host. The identification of phage-host interactions (PHI) is crucial for addressing bacterial infections. Some existing computational methods for predicting PHI are suboptimal in terms of prediction efficiency due to the limited types of available information.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!