Schizophrenia is associated with significant health, social, occupational, and economic burdens, including increased mortality. Despite extensive and robust research on the treatment of individuals with schizophrenia, many individuals with the illness do not currently receive evidence-based pharmacological and nonpharmacological treatments. The aims to enhance knowledge and increase the appropriate use of interventions for schizophrenia, thereby improving the quality of care and treatment outcomes. To this end, this evidence-based Performance in Practice tool can facilitate the implementation of a systematic approach to practice improvement for the care of individuals with schizophrenia. This practice assessment activity can also be used in partial fulfillment of Continuing Medical Education and Maintenance of Certification, part IV, requirements, which can also satisfy requirements for the Centers for Medicare & Medicaid Services Merit-based Incentive Payment System program.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725154 | PMC |
http://dx.doi.org/10.1176/appi.focus.20200034 | DOI Listing |
BMC Med Educ
January 2025
Dubai Medical College, Dubai, United Arab Emirates.
Within the context of competency-based medical education, portfolios and mentorship emerge as complementary interventions, each offering distinct perspectives and benefits. Together, these elements synergistically contribute to a holistic and effective approach to medical education, encompassing both the academic and personal development imperatives of students. However, this integration comes with several implementation challenges that must be anticipated and promptly addressed.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Department of Stomatology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Purpose: To perform risk assessment and analysis of potential infection during stomatology workflow in a hospital in the context of a major infectious disease outbreak, and to determine the key failure modes and measures to prevent and control infection.
Method: Following the Failure Modes and Effects Analysis (FMEA) method based on the stomatology workflow, the opinions of 30 domain-experts in related fields were collected through questionnaires to determine all potential failure modes in the severity (S), occurrence (O), and detectability (D) dimensions. The group score was then integrated through the median method and the risk priority number (RPN) was obtained.
BMC Med Educ
January 2025
Deakin Optometry, School of Medicine, Deakin University, 75 Pigdons Road, Waurn Ponds , VIC, 3216, Australia.
Background: Clinical reasoning is a professional capability required for clinical practice. In preclinical training, clinical reasoning is often taught implicitly, and feedback is focused on discrete outcomes of decision-making. This makes it challenging to provide meaningful feedback on the often-hidden metacognitive process of reasoning to address specific clinical reasoning difficulties.
View Article and Find Full Text PDFBMC Med Genomics
January 2025
Administrative Office, The Fourth People's Hospital of Nanning, Nanning, China.
Background: Chronic obstructive pulmonary disease (COPD) is a chronic and progressive lung disease. Disulfidptosis-related genes (DRGs) may be involved in the pathogenesis of COPD. From the perspective of predictive, preventive, and personalized medicine (PPPM), clarifying the role of disulfidptosis in the development of COPD could provide a opportunity for primary prediction, targeted prevention, and personalized treatment of the disease.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Digital Systems, University of Piraeus, Piraeus, Greece.
Vitiligo, alopecia areata, atopic, and stasis dermatitis are common skin conditions that pose diagnostic and assessment challenges. Skin image analysis is a promising noninvasive approach for objective and automated detection as well as quantitative assessment of skin diseases. This review provides a systematic literature search regarding the analysis of computer vision techniques applied to these benign skin conditions, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!