This paper reviews current models, research, and approaches to improving care on the primary care/behavioral health interface in the USA. We focus on care in the public sector where high rates of comorbidity, regulatory burdens, and lack of resources create particular challenges to collaboration and coordination. To achieve the goals of improved coordination and collaboration, it will be critical to address key financing, workforce, information technology, performance assessment, and research issues. It will also be critical to engage multiple stakeholders including consumers, mental health and health providers, and policymakers and public sector funders.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11414-009-9176-0 | DOI Listing |
Aesthet Surg J
January 2025
Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.
Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.
Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.
Br J Hosp Med (Lond)
January 2025
Nursing Department, Zhang Ye People's Hospital Affiliated to Hexi University, Zhangye, Gansu, China.
Diabetes is a chronic lifelong condition that requires consistent self-care and daily lifestyle adjustments. Effective disease management involves regular blood glucose monitoring and ongoing nursing support. Inadequate education and poor self-management are key factors contributing to increased mortality among diabetic individuals.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Surgery & Cancer, Imperial College London, London, UK.
Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Sports Arts, Hebei Sport University, Shijiazhuang, Hebei, China.
A novel exercise protocol for cardiac rehabilitation aerobic (CRA) has been developed by Hebei Sport University, demonstrating efficacy in patients with coronary heart disease (CHD). The objective of this study was to evaluate the impact of CRA on precise cardiac rehabilitation (CR) for CHD patients presenting with stable angina pectoris. The study cohort comprised patients with stable angina who were categorized into three groups: the CRA group (n = 35), the power bicycles (PB) group (n = 34), and the control group (n = 43).
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Chemical Pathology and Metabolic Medicine, The Lister Hospital, Stevenage, UK.
Advanced life support certification has traditionally been the gold standard of resuscitation training for doctors and has been shown to improve outcomes from cardiac arrest. In 2021, Health Education England removed named courses from mandatory Foundational Programme competencies, which has resulted in capping of reimbursement and reduced access to courses. This represents a drop in educational standards which is particularly concerning when the medical school curriculum has been shown to deliver inconsistent, poor-quality resuscitation training.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!