UCSF-wide Survey: New UCSF Initiative to Improve Access to and Analysis of Large Health Data Sets for Comparative Effectiveness Research

Goals of the survey:

• To help develop a network of UCSF researchers interested in large data sets
• Expand the repository of large data sets available to these researchers
• Notify researchers of funding opportunities
• Establish technical support services for this research 

Focus of survey questions:

• Current and potential use of large data sets at UCSF
• Assessment which technical support services would help UCSF investigators conduct research using large data set

Complete the survey at http://tinyurl.com/34rg2f5 Deadline: August 25, 2010    Background:  Large data sets, including administrative claims, registries, and surveys, are a critical resource for comparative effectiveness research.  These data sets provide rich information and large sample sizes to study the effectiveness of alternative methods for preventing, diagnosing, and treating illness and for improving the delivery of health care services.  Questions: [email protected] Developed by:  The Comparative Effectiveness Large Dataset Analysis Core (CELDAC), a CTSI activity focused on improving access to and analysis of large health data sets for comparative effectiveness and other types of research.   The initiative is led by:

• Claire Brindis, DrPH, MPH, Director, Philip R Lee Institute for Health Policy Studies, Director, Bixby Center for Global Reproductive Health, Professor, Department of Pediatrics, Division of Adolescent Medicine, Professor, Department of Obstetrics, Gynecology, and Reproductive Sciences, UCSF 
• Jim G Kahn, MD, MPH, Professor, Philip R Lee Institute for Health Policy Studies, Professor, Epidemiology and Biostatistics, UCSF 
• Janet Coffman, MA, MPP, PhD, Director, CELDAC, Assistant Adjunct Professor, Department of Family and Community Medicine, Philip R Lee Institute for Health Policy Studies, UCSF