Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-25T05:30:32.714Z Has data issue: false hasContentIssue false

The Diffusion of Two Diagnostic Technologies among Hospitals in New York State

Published online by Cambridge University Press:  10 March 2009

Cynthia Carter Haddock
Affiliation:
University of Alabama, Birmingham
James W. Begun
Affiliation:
Medical College of Virginia

Extract

Using combined data from an independent survey by the American Hospital Association and the State of New York, the diffusion of two diagnostic technologies–the automated chemistry analyzer and the computed tomography (CT) scanner–among hospitals in New York State was analyzed. A linearized form of the logistic function was estimated using cumulative diffusion data for each. Diffusion patterns of both technologies fit the logistic curve well, with the coefficient of diffusion for the CT scanner being greater than that for the automated analyzer. Further analysis examined characteristics of early adopters of each technology. Similar hospital characteristics (e.g., high volume of admissions and medical school affiliation) were important in explaining early adoption of both technologies.

Type
General Essays
Copyright
Copyright © Cambridge University Press 1988

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1. Anderson, G., & Steinberg, E.To buy or not to buy: Technology acquisition under prospective payment. New England Journal of Medicine, 1984, 311, 182–85.CrossRefGoogle ScholarPubMed
2. Banta, H. D., Behney, C. J., & Willems, J. S.Toward a rational technology in medicine. New York: Springer, 1981.Google Scholar
3. Barsamian, E. M. The rise and fall of internal mammary artery ligation in the treatment of angina pectoris and the lessons learned. In Bunker, J., Barnes, B., & Mosteller, F. (eds.), Costs, risks, and benefits of surgery. New York: Oxford University Press, 1977, 212–20.Google Scholar
4. Bice, T. W., & Urban, N.Effects of regulation on the diffusion of computed tomography scanners. Washington, DC: Department of Health and Human Services, 1982.Google Scholar
5. Cohen, A. B., & Cohodes, D. R.Certificate of need and low capital-cost technology. Milbank Memorial Fund Quarterly, 1982, 60, 307–27.CrossRefGoogle ScholarPubMed
6. Fineberg, H. V. Clinical chemistries: The high cost of low cost diagnostic tests. In Altman, S. & Blendon, R. (eds.), Medical technology: The culprit behind health care costs? Washington, DC: U.S. Government Printing Office, 1979, 144–65.Google Scholar
7. Fineberg, H. V. Gastric freezing: A study of diffusion of a medical innovation. In Committee on Technology and Health Care, Medical technology and the health care system. Washington, DC: National Academy of Sciences, 1979, 173200.Google Scholar
8. Freiman, M. P.The rate of adoption of new procedures among physicians. Medical Care, 1985, 23, 939–45.CrossRefGoogle ScholarPubMed
9. Green, P.Analyzing multivariate data. Hinsdale, IL: The Dryden Press, 1978.Google Scholar
10. Greer, A. L.Medical technology: Assessment, adoption, and utilization. Journal of Medical Systems, 1981, 5, 129–45.CrossRefGoogle ScholarPubMed
11. Griliches, Z.Hybrid corn: An exploration in the economics of technological change. Econometrics, 1957, 25, 501–55.CrossRefGoogle Scholar
12. Joskow, P. L.Controlling hospital costs: the role of government regulation. Cambridge, MA: MIT Press, 1981.Google Scholar
13. Mansfield, E.The speed of response of firms to new techniques. Quarterly Journal of Economics, 1963, 77, 290311.CrossRefGoogle Scholar
14. Marks, H. A., & Fineberg, H. V.Development and diffusion of automated clinical chemistry analyzers. Washington, DC: Department of Commerce, 1984.Google Scholar
15. Moloney, T. W., & Rogers, D. E.Medical technology: A different view of the contentious debate over costs. The New England Journal of Medicine, 1979, 301, 1413–19.CrossRefGoogle ScholarPubMed
16. Policy Analysis, Inc., & Urban System Research and Engineering, Inc. Evaluation of the effects of certificate of need programs. Washington, DC: U.S. Department of Health and Human Services, 1980.Google Scholar
17. Rapaport, J.Diffusion of technological innovations among non-profit firms: A case study of radioisotopes in U.S. hospitals. Journal of Economics and Business, 1978, 30, 108–18.Google Scholar
18. Russell, L. B.The diffusion of new hospital technologies in the U.S. International Journal of Health Services, 1976, 6, 557–80.CrossRefGoogle Scholar
19. Russell, L. B.The diffusion of hospital technologies: Some econometric evidence. Journal of Human Resources, 1977, 12, 482502.CrossRefGoogle ScholarPubMed
20. Salkever, D. S., & Bice, T. W.The impact of certificate of need controls in hospital investment. Milbank Memorial Fund Quarterly, 1976, 54, 185214.CrossRefGoogle ScholarPubMed
21. Sanders, C. Technology and the hospital. In Altman, S. & Blendon, R. (eds.), Medical technology: The culprit behind health care costs? Washington, DC: U.S. Government Printing Office, 1979, 144165.Google Scholar
22. Scitovsky, A. A. Changes in the use of ancillary services for “common” illness. In Altman, S. & Blendon, R. (eds.), Medical technology: The culprit behind health care costs? Washington, DC: U.S. Government Printing Office, 1979, 3956.Google Scholar
23. Simpson, J. B.State certificate-of-need programs: The current status. American Journal of Public Health, 1985, 75, 1225–29.CrossRefGoogle ScholarPubMed
24. Stoughton, W. V. Medical costs and technology regulation. In McNeil, B. & Cravalho, E. (eds.), Critical issues in medical technology. Boston, MA: Auburn House, 1982, 3750.Google Scholar
25. Worthington, N.Expenditures for hospital care and physicians' services: Factors affecting annual charges. Social Security Bulletin, 1975, 38, 315.Google Scholar