Landscape of informed consent practices and challenges in point‐of‐care clinical trials
Abstract Point‐of‐care trials, an approach to trial design that assesses medical product effectiveness while fully integrating research and care, represent a promising opportunity to generate practically relevant evidence efficiently for priority disease areas.
Caleigh Propes+2 more
wiley +1 more source
Knowledge, Attitude, and Practice Toward Spinal Cord Tumors Among Patients and Their Families in Beijing: A Cross-Sectional Study. [PDF]
Liu L, Su Y, Shi L.
europepmc +1 more source
Cyclical medication management interventions in health care settings: A systematic review
Abstract Introduction It is estimated that one in 30 patients experiences at least one preventable medication‐related harm while receiving care. Cyclical medicine improvement interventions, where health systems continuously collect data, implement prescribing/dispensing interventions, review outcomes, and revise the intervention, have demonstrated ...
Isabelle Meulenbroeks+6 more
wiley +1 more source
Knowledge and Attitudes of the Rural Population and Veterinary and Health Personnel Concerning Crimean-Congo Hemorrhagic Fever in Western Iran in 2012 [PDF]
Narges Sharifinia+7 more
openalex +1 more source
Knowledge and attitude of myopes or their guardians towards refractive surgery in Suzhou, China: a cross-sectional survey. [PDF]
Mu L, Qian Y.
europepmc +1 more source
Abstract Introduction The application of implementation science (IS) frameworks to evaluate quality process improvement initiatives in an academic emergency department (ED) setting offers a promising approach for learning health systems (LHS). This report describes the University of Colorado Department of Emergency Medicine's LHS partnership among ...
Bethany M. Kwan+6 more
wiley +1 more source
Knowledge, attitudes, and practices of gastric cancer patients toward nutritional therapy. [PDF]
Yu H+11 more
europepmc +1 more source
Computer Vision Technologies in Movement Disorders: A Systematic Review
Abstract Background Evaluation of movement disorders primarily relies on phenomenology. Despite refinements in diagnostic criteria, the accuracy remains suboptimal. Such a gap may be bridged by machine learning and video technology, which permit objective, quantitative, non‐invasive motor analysis.
Pasquale Maria Pecoraro+4 more
wiley +1 more source