Purpose: The purpose of this article is to provide, in a concise format, information about evidence-based decision-making strategies and support tools available for appropriate antimicrobial prescribing. A brief review of the current status of antimicrobial resistance, prescribing practices of nurse practitioners (NPs), and factors associated with inappropriate prescribing practices is included to further explicate the need for such support tools.
Data Sources: Journal articles, Internet websites, reference texts.
Conclusions: Many microorganisms have developed resistance to previously standard treatments, and resistant strains continue to emerge. One factor associated with increasing resistance is inappropriate or overprescribing of antimicrobials sometimes related to lack of easy accessibility to clinical decision-making tools. Some practical evidence-based tools and decision-making strategies are presented here to foster making optimal antimicrobial choices in clinical practice.
Implications For Practice: Evidence-based decision-making strategies and tools can be used at the point of care to maximize appropriate antimicrobial prescribing by NPs.
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http://dx.doi.org/10.1111/j.1745-7599.2012.00696.x | DOI Listing |
Acta Neuropathol Commun
January 2025
Department of Physiology and Pharmacology, Sapienza University of Rome, 00185, Rome, Italy.
The generation of retinal models from human induced pluripotent stem cells holds significant potential for advancing our understanding of retinal development, neurodegeneration, and the in vitro modeling of neurodegenerative disorders. The retina, as an accessible part of the central nervous system, offers a unique window into these processes, making it invaluable for both study and early diagnosis. This study investigates the impact of the Frontotemporal Dementia-linked IVS 10 + 16 MAPT mutation on retinal development and function using 2D and 3D retinal models derived from human induced pluripotent stem cells.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA.
AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals' cancer progression for effective personalized care. However, AI's imperfections can lead to suboptimal therapeutics if clinicians over or under rely on AI. To investigate such collaborative decision-making process, we conducted a Human-AI interaction study on response-adaptive radiotherapy for non-small cell lung cancer and hepatocellular carcinoma.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Center for Health Optimization and Implementation Research, VA Boston Healthcare System and VA Bedford Healthcare System, Boston and Bedford, MA, USA.
Background: Deprescribing, intentional medication discontinuation or dose reduction, can reduce potentially inappropriate medication use and medication-related harms. Engaging patients in deprescribing discussions may increase likelihood of deprescribing and promote shared decision-making.
Objective: To examine the impact of patient-directed educational brochures on patient engagement and deprescribing discussions with primary care providers (PCPs).
Environ Monit Assess
January 2025
Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Poznań, Poland.
A spatial assessment of temporal forest cover changes is essential for effective forest conservation and management practices. This study analyzes changes in forest cover and the evolution of forest spatial configuration using Landsat satellite imagery over the past three decades (1990-2020) in Azad Jammu and Kashmir (AJK), Pakistan. To achieve the objectives, landscape metrics and forest fragmentation analyses were applied.
View Article and Find Full Text PDFBMJ Open
January 2025
Southern Medical University Institute for Global Health, Dermatology Hospital of Southern Medical University, Guangzhou, Guangdong, China
Introduction: Traditional Chinese medicine (TCM) is commonly used alongside Western medicine for stroke management in China. However, there is significant variation in TCM practice, and the utilisation of evidence-based clinical practice guidelines is inadequate. This study aims to evaluate the effectiveness of three popular frameworks-Consolidated Framework for Implementation Research (CFIR), Theoretical Domains Framework (TDF) and Normalization Process Theory (NPT)-in improving implementation outcomes for the integrated TCM and Western medicine clinical practice guideline for stroke management.
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