Background: Implementation science (IS) is an emerging discipline that offers frameworks, theories, measures, and interventions to understand both the effective organizational change processes and the contextual factors that affect how well an innovation operates in real-world settings.
Results: In this article, we present an overview of the basic concepts and methods of IS. We then present six studies where IS was used as a means to understand implementation of a new innovations designed to improve the health and well-being of individuals under criminal legal system supervision.
Conclusion: We discuss how IS has developed new knowledge on how to implement efficacious innovations and suggesting future research needed to further our understanding of implementation and sustainability of innovations in the legal context.
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http://dx.doi.org/10.1186/s40352-025-00323-x | DOI Listing |
JMIR Form Res
March 2025
Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.
Background: Screening for cognitive impairment in primary care is important, yet primary care physicians (PCPs) report conducting routine cognitive assessments for less than half of patients older than 60 years of age. Linus Health's Core Cognitive Evaluation (CCE), a tablet-based digital cognitive assessment, has been used for the detection of cognitive impairment, but its application in primary care is not yet studied.
Objective: This study aimed to explore the integration of CCE implementation in a primary care setting.
Bioinformatics
March 2025
Department of Statistics, Hunan University, Changsha, 410000, China.
Motivation: Inferring gene networks provides insights into biological pathways and functional relationships among genes. When gene expression samples exhibit heterogeneity, they may originate from unknown subtypes, prompting the utilization of mixture Gaussian graphical model for simultaneous subclassification and gene network inference. However, this method overlooks the heterogeneity of network relationships across subtypes and does not sufficiently emphasize shared relationships.
View Article and Find Full Text PDFQual Health Res
March 2025
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Realist synthesis is a recognized methodological approach to evidence synthesis to inform evidence-based health policy and practice. The implicit assumption behind research synthesis is that the evidence it generates should be generalizable--drawing broad inferences from specific observations. While this understanding is generally shared among social scientists, tensions exist between having generalizable evidence and how this evidence can be useful in specific contexts.
View Article and Find Full Text PDFEuropace
March 2025
Clinical Cardiac Academic Group, Genetic and Cardiovascular Sciences Institute, City-St George's University of London, London, UK.
Atrial fibrillation (AF) is one of the most common cardiac diseases and a complicating comorbidity for multiple associated diseases. Many clinical decisions regarding AF are currently based on the binary recognition of AF being present or absent with the categorical appraisal of AF as continued or intermittent. Assessment of AF in clinical trials is largely limited to the time to (first) detection of an AF episode.
View Article and Find Full Text PDFSci Robot
March 2025
NeuroX Institute and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
Rehabilitation robotics aims to promote activity-dependent reorganization of the nervous system. However, people with paralysis cannot generate sufficient activity during robot-assisted rehabilitation and, consequently, do not benefit from these therapies. Here, we developed an implantable spinal cord neuroprosthesis operating in a closed loop to promote robust activity during walking and cycling assisted by robotic devices.
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