98%
921
2 minutes
20
Background: The need for partnership between knowledge producers and knowledge users to foster effective implementation is well-established in the implementation science literature. While many theories, models, and frameworks (TMF) have been developed to guide knowledge mobilization (KM) activities, seldom do these frameworks inform approaches for establishing and maintaining KM partnerships (i.e., relationships between researchers and individuals with relevant expertise in KM activities). Thus, there is a significant knowledge-to-action gap related to operationalizing engagement in partnerships and leveraging the evidence that exists to support them. Given the abundance of TMFs, it is prudent to consider whether any may be suitable to inform approaches to partnership. The aim of this commentary is to discuss the necessity for strategies to support engagement in partnerships for KM activities, as well as to explore the potential to apply strategies from an existing implementation taxonomy to inform partnerships approaches in KM.
Main Body: Using a case study, this commentary explores the opportunity to apply existing implementation strategies put forward by the Expert Recommendations for Implementing Change (ERIC) taxonomy to inform partnership strategies. This case study utilized qualitative evidence from a qualitative study about KM in children's pain management informed by the Consolidated Framework for Implementation Research (CFIR). It explored partner perspectives (i.e., knowledge producers and users) on factors that supported their engagement in KM activities. The factors generated were subsequently mapped onto the ERIC taxonomy to identify relevant strategies to support partnerships development for KM activities (e.g., shared goals among team members mapped onto the ERIC strategy Build a Coalition). Each factor generated was determined to have a corresponding ERIC strategy to support the operationalization of that factor.
Conclusions: This case example and discussion bolster the utility of existing taxonomies and frameworks to support the development and sustainability of partnerships to support engagement in KM activities, a promising next step for developing strategies to support partnerships. Opportunities for future development are also discussed, including identifying other theories, models, and frameworks that may contribute to a comprehensive suite of empirically informed partnership strategies, as well as the necessity to make strategies and approaches available to non-specialist audiences.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11900096 | PMC |
http://dx.doi.org/10.1186/s40900-025-00688-1 | DOI Listing |
Eur Radiol Exp
September 2025
Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.
Background: Bone marrow (BM) lesion differentiation remains challenging, and quantitative magnetic resonance imaging (MRI) may enhance accuracy over conventional methods. We evaluated the diagnostic value and inter-reader reliability of Dixon-based signal drop (%drop) and fat fraction percentage (%fat) as adjuncts to existing protocols.
Materials And Methods: In this prospective two-center study, 172 patients with BM signal abnormalities underwent standardized 1.
Simul Healthc
September 2025
From the Pratt School of Engineering, Duke University, Durham, NC.
Introduction: Women who experience postpartum hemorrhage (PPH) after giving birth rapidly lose blood, which may lead to shock or death without immediate intervention. PPH most often results from uterine atony, when the uterus fails to contract after delivery. Worldwide, PPH causes 10 deaths hourly, with most deaths occurring in low-income settings.
View Article and Find Full Text PDFJ Physician Assist Educ
September 2025
Andrew P. Chastain, DMS, PA-C, is an assistant professor at Butler University, Indianapolis, Indiana.
Introduction: Artificial intelligence tools show promise in supplementing traditional physician assistant education, particularly in developing clinical reasoning skills. However, limited research exists on custom Generative Pretrained Transformer (GPT) applications in physician assistant (PA) education. This study evaluated student experiences and perceptions of a custom GPT-based clinical reasoning tool.
View Article and Find Full Text PDFJ Healthc Sci Humanit
January 2024
Program Manager, Center for Biomedical Research/Research Centers in Minority Institutions (TU CBR/RCMI), Department of Biology, College of Arts and Sciences (CAS), Tuskegee University, Phone: (334) 724-4391, Email:
The emergence of the Novel COVID-19 Pandemic has undoubtedly impacted the lives of individuals across the globe. It has drawn the attention of major public health agencies as they work intensely towards understanding the behavior of the virus causing the disease, while simultaneously establishing ways to curb the spread of the virus among populations. As of the time of writing, 7,949,973 confirmed cases have been reported globally; with the United States (US) contributing to 26.
View Article and Find Full Text PDFClin Cosmet Investig Dermatol
September 2025
Biomedical Engineering Unit, Department of Physiology, College of Medicine, Kuwait University, Safat, Kuwait.
Artificial intelligence (AI) is increasingly reshaping cosmetic surgery by enhancing surgical planning, predicting outcomes, and enabling objective aesthetic assessment. Through narrative synthesis of existing literature and case studies, this perspective paper explores the issue of algorithmic bias in AI-powered aesthetic technologies and presents a framework for culturally sensitive application within cosmetic surgery practices in the Middle East and North Africa (MENA) region. Existing AI systems are predominantly trained on datasets that underrepresent MENA phenotypes, resulting in aesthetic recommendations that disproportionately reflect Western beauty ideals.
View Article and Find Full Text PDF