Browsing by keyword "*Faculty"

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    • APA summit on medical student education task force on informatics and technology: steps to enhance the use of technology in education through faculty development, funding and change management
      Hilty, Donald M.; Benjamin, Sheldon; Briscoe, Gregory; Hales, Deborah J.; Boland, Robert J.; Luo, John S.; Chan, Carlyle H.; Kennedy, Robert S.; Karlinsky, Harry; Gordon, Daniel B.; et al. (2006-12-02)
      OBJECTIVE: This article provides an overview of how trainees, faculty, and institutions use technology for acquiring knowledge, skills, and attitudes for practicing modern medicine. METHOD: The authors reviewed the literature on medical education, technology, and change, and identify the key themes and make recommendations for implementing technology in medical education. RESULTS: Administrators and faculty should initially assess their own competencies with technology and then develop a variety of teaching methods that use technology to improve their curricula. Programs should decrease the general knowledge-based content of curricula and increase the use of technology for learning skills. For programs to be successful, they must address faculty development, change management, and funding. CONCLUSIONS: Willingness for change, collaboration, and leadership at all levels are essential factors for successfully implementing technology.

    • Impact of school staff health on work productivity in secondary schools in Massachusetts
      Alker, Heather J.; Wang, Monica L.; Pbert, Lori; Thorsen, Nancy; Lemon, Stephenie C. (2015-06-01)
      BACKGROUND: Healthy, productive employees are an integral part of school health programs. There have been few assessments of work productivity among secondary school staff. This study describes the frequency of 3 common health risk factors--obesity, depressive symptoms, and smoking--and their impact on work productivity in secondary school employees. METHODS: Employees of secondary schools in Massachusetts (N = 630) participated in a longitudinal weight gain prevention intervention study. Assessment completed at baseline, 1-year and 2-year follow-up included survey assessments of health risk factors as well as measurements for height, weight, and body mass index (BMI). The survey also included a depression inventory and Work Limitations Questionnaire. Data analysis included multivariate mixed effect models to identify productivity differences in relation to BMI, depressive symptoms, and smoking in this population stratified by position type (teacher and other school staff). RESULTS: The sample included 361 teachers and 269 other school staff. Obesity, depressive symptoms, and smoking were significantly associated with work productivity, including workdays missed because of health concerns (absenteeism) and decreases in on-the-job productivity because of health concerns (presenteeism). CONCLUSIONS: Three common health conditions, namely obesity, depressive symptoms, and smoking, adversely affect the productivity of high school employees.