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Am J Epidemiol 2003; 157:546-551.
Copyright © 2003 by Johns Hopkins Bloomberg School of Public Health


PRACTICE OF EPIDEMIOLOGY

Training, Quality Assurance, and Assessment of Medical Record Abstraction in a Multisite Study

Lisa M. Reisch1, Jessica Scura Fosse1, Kevin Beverly2, Onchee Yu2, William E. Barlow2, Emily L. Harris3, Sharon Rolnick4, Mary B. Barton5, Ann M. Geiger6, Lisa J. Herrinton7, Sarah M. Greene2, Suzanne W. Fletcher5 and Joann G. Elmore1,2,

1 Harborview Medical Center, University of Washington School of Medicine, Seattle, WA.
2 Center for Health Studies, Group Health Cooperative, Seattle, WA.
3 Kaiser Permanente Center for Health Research, Portland, OR.
4 HealthPartners Research Foundation, Minneapolis, MN.
5 Department of Ambulatory Care and Prevention, Harvard Pilgrim Healthcare, Boston, MA.
6 Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA.
7 Division of Research, Kaiser Permanente Northern California, Oakland, CA.

Clinical studies using medical record review should include careful training and quality assurance methods to enhance the reliability and validity of data obtained from the records. Because of time and budget constraints, comprehensive assessments of data quality and reliability, including masking of medical record abstractors, are not always possible. This paper describes the abstractor training and quality control methods and results of a masked medical record review study. The medical record review study was carried out within a larger multisite study of the effectiveness of screening mammography in preventing breast cancer mortality with an observation period within 1983 and 1993, with mortality follow-up through 1998. An eight-step program was developed to train medical record abstractors and monitor the quality of their work. A key follow-up component to the training protocol was a 5% reabstraction of medical records (n = 160), masked and reviewed by a second abstractor. High agreement was found between initial (unmasked) abstractors and masked abstractors for all key exposure variables (kappa ranged from 0.76 to 0.91), with no evidence of biased directionality by unmasked reviewers. Rigorous ongoing training programs for medical record abstractors provide assurance of good quality control in large multisite studies. Additionally, a masking study with a subsample of subjects may be a feasible and cost-effective alternative to the time- and cost-intensive methodological approach of masking all medical records.

case-control studies; data collection; epidemiologic methods; medical records; quality control

Abbreviations: Abbreviation: HMO, health maintenance organization.


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