Objective: This study aimed to (1) develop instruments to evaluate situations that lead to lapse and relapse in diet and exercise and (2) prospectively investigate when and which psychosocial situations predict failure to lose weight in a clinical trial of intentional weight loss.
Methods: Participants were 469 individuals with overweight or obesity participating in a behavioral weight loss program (age: mean = 53.6 years, SD = 11.
Objective: Excess weight has been associated with numerous psychological problems, including depression and anxiety. This study examined the impact of intentional weight loss on the psychological well-being of adults participating in three clinical weight loss interventions.
Methods: This population consisted of 588 overweight or obese individuals randomized into one of three weight loss interventions of incremental intensity for 12 months.
Medical schools must teach core biomedical informatics competencies that address health information technology (HIT), including explaining electronic medical record systems and computerized provider order entry systems and their role in patient safety; describing the research uses and limitations of a clinical data warehouse; understanding the concepts and importance of information system interoperability; explaining the difference between biomedical informatics and HIT; and explaining the ways clinical information systems can fail. Barriers to including these topics in the curricula include lack of teachers; the perception that informatics competencies are not applicable during preclinical courses and there is no place in the clerkships to teach them; and the legal and policy issues that conflict with students' need to develop skills. However, curricular reform efforts are creating opportunities to teach these topics with new emphasis on patient safety, team-based medical practice, and evidence-based care.
View Article and Find Full Text PDFAMIA Annu Symp Proc
October 2007
At Albert Einstein College of Medicine a large part of online lecture materials contain PostScript files. As the collection grows it becomes essential to create a digital library to have easy access to relevant sections of the lecture material that is full-text indexed; to create this index it is necessary to extract all the text from the document files that constitute the originals of the lectures. In this study we present a semi automatic indexing method using robust technique for extracting text from PostScript files and National Library of Medicine's Medical Text Indexer (MTI) program for indexing the text.
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