Background: There is currently an absence of valid and relevant instruments to evaluate how Evidence-based Practice (EBP) training improves, beyond knowledge, physicians' skills. Our aim was to develop and test a tool to assess physicians' EBP skills.
Methods: The tool we developed includes four parts to assess the necessary skills for applying EBP steps: clinical question formulation; literature search; critical appraisal of literature; synthesis and decision making. We evaluated content and face validity, then tested applicability of the tool and whether external observers could reliably use it to assess acquired skills. We estimated Kappa coefficients to measure concordance between raters.
Results: Twelve general practice (GP) residents and eleven GP teachers from the University of Bordeaux, France, were asked to: formulate four clinical questions (diagnostic, prognosis, treatment, and aetiology) from a proposed clinical vignette, find articles or guidelines to answer four relevant provided questions, analyse an original article answering one of these questions, synthesize knowledge from provided synopses, and decide about the four clinical questions. Concordance between two external raters was excellent for their assessment of participants' appraisal of the significance of article results (K = 0.83), and good for assessment of the formulation of a diagnostic question (K = 0.76), PubMed/Medline (K = 0.71) or guideline (K = 0.67) search, and of appraisal of methodological validity of articles (K = 0.68).
Conclusions: Our tool allows an in-depth analysis of EBP skills, thus could supplement existing instruments focused on knowledge or specific EBP step. The actual usefulness of such tools to improve care and population health remains to be evaluated.
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http://dx.doi.org/10.1186/s12909-018-1368-y | DOI Listing |
Comput Biol Med
January 2025
Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Centre, Neurology and Cerebrovascular Disease Group, Neuroscience Area La Paz Institute for Health Research (idiPAZ), (La Paz University Hospital- Universidad Autónoma de Madrid), Spain. Electronic address:
The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.
View Article and Find Full Text PDFFuture Cardiol
January 2025
Division of Cardiac Surgery, University of Toronto, Toronto, ON, Canada.
Reaching competency in congenital heart surgery (CHS) requires lengthy and rigorous training. Due to patient safety, time limitations, and procedural complexity, the intraoperative setting is not ideal for technical practice. Surgical simulation using synthetic, biological, or virtual models is an increasingly valuable educational tool for technical training and assessment.
View Article and Find Full Text PDFJ Clin Exp Neuropsychol
January 2025
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Introduction: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process required to detect these noncredible symptoms. The present study investigated whether unsupervised machine learning (ML) could serve as one such method, and detect noncredible symptom reporting in adults undergoing ADHD evaluations.
View Article and Find Full Text PDFBMC Med Educ
January 2025
School of Nursing, Seirei Christopher University, Hamamatsu, Shizuoka, Japan.
Background: Point-of-care ultrasound (POCUS) can be used in a variety of clinical settings and is a safe and powerful tool for ultrasound-trained healthcare providers, such as physicians and nurses; however, the effectiveness of ultrasound education for nursing students remains unclear. This prospective cohort study aimed to examine the sustained educational impact of bladder ultrasound simulation among nursing students.
Methods: To determine whether bladder POCUS simulation exercises sustainably improve the clinical proficiency regarding ultrasound examinations among nursing students, evaluations were conducted before and after the exercise and were compared with those after the 1-month follow-up exercise.
Adv Rheumatol
January 2025
Division of Rheumatology, Department of Internal Medicine, Kocaeli University Faculty of Medicine, İzmit, Kocaeli, 41380, Turkey.
Background: The clinical manifestations and course of rheumatoid arthritis-associated interstitial lung disease (RA-ILD) exhibits considerable heterogeneity. In this study, we aimed to explore radiographic progression over a defined period, employing the Warrick score as a semi-quantitative measure in early RA-ILD, and to assess the associated risk factors for progression.
Methods: RA-ILD patients underwent consecutive Warrick scoring based on initial high-resolution computed tomography (HRCT) at diagnosis and the first follow-up.
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