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Using Administrative Data Bases for Technology Assessment in Health Care: Results of an International Survey

Published online by Cambridge University Press:  10 March 2009

Régis Blais
Régis Blais
Affiliation:
University of Montreal
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Abstract

This study assesses the nature, use, and quality of large administrative data bases available in different countries for technology assessment in health care. Using postal questionnaires, data were collected describing 91 data bases from 15 countries. Current uses are promising, but more efforts are needed if the full potential of administrative data files is to be tapped.

Type
General Essays
Information
International Journal of Technology Assessment in Health Care , Volume 7 , Issue 2 , Spring 1991 , pp. 202 - 208
Copyright
Copyright © Cambridge University Press 1991

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References

1.Andersen, T. F., Blais, R., Bredesen, J., Jorgensen, T., et al. Coping with regional variations: The case of surgery in Denmark. International Journal of Health Planning and Management, 1987, 2, 253–67.Google ScholarPubMed
2.Bright, R. A., Avorn, J., & Everitt, D. E.Medicaid data as a resource for epidemiologic studies: Strengths and limitations. Journal of Clinical Epidemiology, 1989, 42, 937–45.CrossRefGoogle ScholarPubMed
3.Connell, F. A., Diehr, P., & Hart, L. G.The use of large data bases in health care studies. Annual Review of Public Health, 1987, 8, 51–74.CrossRefGoogle ScholarPubMed
4.Demlo, L. K., & Campbell, P. M.Improving hospital discharge data: Lessons from the National Hospital Discharge Survey. Medical Care, 1981, 19, 1030–40.CrossRefGoogle ScholarPubMed
5.Luft, H. S., & Hunt, S. S.Evaluating individual hospital quality through outcome statistics. Journal of the American Medical Association, 1986, 255, 2780–784.CrossRefGoogle ScholarPubMed
6.McPherson, K., Wennberg, J. E., Hovind, O. B., & Clifford, P.Small-area variations in the use of common surgical procedures: Within and between England and Wales, Canada and the United States of America. New England Journal of Medicine, 1982, 307,1310–14.CrossRefGoogle Scholar
7.Mossey, J. M., & Ross, L. L.Using insurance claims to measure health status: The illness scale. Journal of Chronic Diseases, 1987, 40(Suppl. I), 41S–50S.CrossRefGoogle ScholarPubMed
8.Mullner, R. M., & Byre, C. S.Toward an inventory of U.S. health care data bases. Review of Public Data Use, 1983, 11, 57–65.Google ScholarPubMed
9.Mullner, R. M., Byre, C. S., & Killingsworth, C. L.An inventory of U.S. health care data bases. Review of Public Data Use, 1983, 11, 85–192.Google ScholarPubMed
10.Pineault, R., Champagne, F., & Fournier, P.L'exploitation de grandes bases de données sur la morbidité pour l'évaluation des services de santé. Revue d''Epidémiologie et de Santé Publique, 1988, 36, 267–72.Google Scholar
11.Potvin, L., & Champagne, F.Utilization of administrative files in health research. Social Indicators Research, 1986, 18, 409–23.CrossRefGoogle Scholar
12.Roos, L. L.Nonexperimental data systems in surgery. International Journal of Technology Assessment in Health Care, 1989, 5, 341–56.CrossRefGoogle ScholarPubMed
13.Roos, L. L., Cageorge, S. M., Austen, E., & Lohr, K.Using computers to identify complications after surgery. American Journal of Public Health, 1985, 75, 1288–95.CrossRefGoogle ScholarPubMed
14.Roos, L. L., Nicol, J. P., & Cageorge, S. M.Using administrative data for longitudinal research: comparisons with primary data collection. Journal of Chronic Diseases, 1987, 40, 41–49.CrossRefGoogle ScholarPubMed
15.Roos, L. L., & Sharp, S. M.Becoming more efficient at outcomes research. International Journal of Technology Assessment in Health Care, 1988, 4, 555–71.CrossRefGoogle ScholarPubMed
16.Roos, N. P., Wennberg, J. E., Malenka, D. J., et al. Mortality and reoperation after open and transurethral resection of the prostate for benign prostatic hyperplasia. New England Journal of Medicine, 1987, 320, 1120–24.CrossRefGoogle Scholar
17.Roos, N. P., & Ramsey, E. W.A population-based study of prostatectomy: Outcomes associated with differing surgical approaches. Journal of Urology, 1987, 137, 1184–88.CrossRefGoogle ScholarPubMed
18.Roos, N. P., Roos, L. L., Mossey, J., & Havens, B.Using administrative data to predict important health outcomes: Entry to hospital, nursing home, and death. Medical Care, 1988, 26, 221–39.CrossRefGoogle ScholarPubMed
19.Showstack, J. A., Rosenfeld, K. E., Garnick, D. W., et al. Association of volume with outcome of coronary artery bypass graft surgery. Journal of the American Medical Association, 1987, 257, 785–89.CrossRefGoogle ScholarPubMed
20.Wennberg, J. E., Roos, N. P., Sola, L., et al. Use of claims data systems to evaluate health care outcomes: Mortality and reoperation following prostatectomy. Journal of the American Medical Association, 1987, 257, 933–36.CrossRefGoogle ScholarPubMed