249670 Combining epidemiologic information across space agencies

Wednesday, November 2, 2011: 1:10 PM

Charles Minard, PhD, MS , Space Medicine, NASA Johnson Space Center, Wyle Integrated Science and Engineering, Houston, TX
Mary Wear, PhD , Space Medicine, NASA Johnson Space Center, Wyle Integrated Science and Engineering, Houston, TX
April Clark, DrPH, MPH , Space Medicine, NASA Johnson Space Center, JES Tech/Wyle Laboratories, Houston, TX
Sara Mason, BS , Space Medicine, NASA Johnson Space Center, Wyle Integrated Science and Engineering, Houston, TX
Mary Van Baalen, MS , Space Medicine, NASA Johnson Space Center, Houston, TX
Space flight is a very unique occupational exposure with potential hazards that are not fully understood. A limited number of individuals have experienced the exposures incurred during space flight, and epidemiologic research would benefit from shared information across space agencies. However, data sharing can be problematic due to agency protection policies for personally identifiable information as well as medical records. Compliance with these protocols in the astronaut population is particularly difficult given the small, high-profile population under study. Creativity in combining data is necessary in order to overcome these difficulties and improve statistical power in research. This study presents methods in meta-analysis that may be used to combine non-attributable data across space agencies so that meaningful conclusions may be drawn about study interests. Methods for combining epidemiologic data across space agencies are presented, and the processes are demonstrated using life-time mortality data in U.S. astronauts and Russian cosmonauts. This proof of concept was found to be an acceptable way of sharing data across agencies, and will be used in the future as more relevant research interests are identified.

Learning Areas:
Epidemiology

Learning Objectives:
Demonstrate statistical methods for combining data across groups without revealing attributable information.

Keywords: Special Populations, Statistics

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to present because I helped develop and apply the meta-analysis methods used in this project.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.