Episode 2: Quality of Validation Studies Using Administrative Data

In the episode, Dr. Eric Benchimol, Assistant Professor of Pediatrics and Epidemiology at the University of Ottawa discusses what items should be considered to ensure quality of reporting of validation studies using administrative data.

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Release Date: October 29, 2015
Duration : 15:42


Eric headshot 2Dr. Eric Benchimol, MD, PhD FRCPC

Eric Benchimol is an Assistant Professor in the Department of Pediatrics and the School of Epidemiology, Public Health and Preventive Medicine at the University of Ottawa.  He is also a pediatric gastroenterologist at the Children’s Hospital of Eastern Ontario (CHEO) IBD Centre (cheo-ibd.ca, @CHEOIBD), a scientist at the CHEO Research Institute, and core scientist the Institute for Clinical Evaluative Sciences (ICES).

Dr. Benchimol conducts epidemiology, outcomes, and health services research in patients with IBD using health administrative data, as well as in children with other chronic diseases. He chairs the Canadian Gastro-Intestinal Epidemiology Consortium (CanGIEC), which conducts national research on IBD and other chronic illnesses.  Dr. Benchimol also has an interest in the methods used to conduct research using routinely collected health data.  He co-chairs the steering committee for the RECORD statement for the REporting of studies Conducted using Observational Routinely collected Data (an extension to the STROBE reporting guidelines). More information is available at http://record-statement.org

References

  1. Benchimol, E. I., Manuel, D. G., To, T., Griffiths, A. M., Rabeneck, L., & Guttmann, A. (2011). Development and use of reporting guidelines for assessing the quality of validation studies of health administrative data. Journal of clinical epidemiology, 64(8), 821-829. doi: 10.1016/j.jclinepi.2010.10.006
  2.  RECORD: www.record-statement.org 
  3. Bohensky, M. A., Jolley, D., Sundararajan, V., Evans, S., Ibrahim, J. and Brand, C. (2011), Development and validation of reporting guidelines for studies involving data linkage. Australian and New Zealand Journal of Public Health, 35: 486–489. doi: 10.1111/j.1753-6405.2011.00741.x