Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-25T19:00:53.209Z Has data issue: false hasContentIssue false

Pattern and factors leading to the diffusion of magnetic resonance imaging in Korean hospitals

Published online by Cambridge University Press:  01 April 2007

Myung-Il Hahm
Affiliation:
National Cancer Center
Eun-Cheol Park
Affiliation:
National Cancer Center
Sun-Hee Lee
Affiliation:
Ewha Women's University
Chung Mo Nam
Affiliation:
Yonsei University College of Medicine
Hye-Young Kang
Affiliation:
Yonsei University College of Medicine
Hoo-Yeon Lee
Affiliation:
Yonsei University College of Medicine
Woo-Hyun Cho
Affiliation:
Yonsei University College of Medicine

Abstract

Objectives: The purpose of this study was to examine the diffusion patterns of new medical technologies in Korean hospitals. We also sought to identify critical factors leading to the decision to acquire capital-intensive medical technology. The rationale and timing of magnetic resonance imaging (MRI) acquisitions were retrospectively evaluated according to a “whether, when, and why” paradigm.

Methods: We analyzed data pertaining to 232 hospitals with active medical residency programs. Of these, 185 hospitals owned or leased an MRI unit, and 47 had not acquired units as of June 2004. Data were collected from the Ministry of Health and Welfare, Korean National Statistical Office, and Korean Hospital Association databases, and variables were identified and classified as predisposing, enabling, or reinforcing factors.

Results: The MRI diffusion rate curve was linear for two types of hospital but was S-shaped for tertiary hospitals, which were early adopters of MRI. Significant predictors for MRI adoption included the per capita number of regional physicians (+), total number of existing regional MRI units (−), percentage of the regional population over 65 years of age (+), private ownership of the hospital, presence of a radiology residency program, number of beds (+), and regional per capita taxable income (+).

Conclusions: Diffusion of MRI technology is occurring rapidly across Korean hospitals. The factors affecting MRI adoption in Korea are similar to the factors documented in other countries, namely regional population over age 65, regional income per capita, large hospitals, and teaching hospitals. This study provides baseline information for predicting diffusion patterns of other new and/or expensive medical technologies.

Type
RESEARCH REPORTS
Copyright
Copyright © Cambridge University Press 2007

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.Baker, LC, Wheeler, SK. Managed care and technology diffusion: The case of MRI. Health Aff (Millwood). 1998; 17: 195207.CrossRefGoogle ScholarPubMed
2.Baker, LC. Managed care and technology adoption in health care: Evidence from magnetic resonance imaging. J Health Econ. 2001; 20: 395421.Google Scholar
3.Banta, HD. Embracing or rejecting innovations: Clinical diffusion of health care technology. New York: Cambridge University Press; 1984.Google Scholar
4.Escarce, JJ. Externalities in hospitals and physician adoption of a new surgical technology: An exploratory analysis. J Health Econ. 1996; 15: 715734.CrossRefGoogle ScholarPubMed
5.Folland, S, Goodman, AC, Stano, M. The economics of health and health care. 4th ed. Upper Saddle River, NJ: Pearson Education, Inc; 2004.Google Scholar
6.Friedman, LH, Goes, JB. The timing of medical technology acquisition: Strategic decision making in turbulent environments. J Health Manag. 2000; 45: 317330.Google Scholar
7.Health Insurance Review Agency (HIRA), Ministry of Health and Welfare (MOHW) in Korea. The research for the management of the MRI coverage. Seoul: Ministry of Health and Welfare; 2004.Google Scholar
8.Health Insurance Review Agency (HIRA) in Korea. A report on the appropriateness of benefit for computerized tomography procedures. Seoul: Ministry of Health and Welfare; 2002.Google Scholar
9.Hillman, AL, Schwartz, S. The adoption and diffusion of CT and MRI in the United States. Med Care. 1985; 23: 12831294.Google Scholar
10.Hutubessy, RC, Hanvoravongchai, P, Edejer, TT. Diffusion and utilization of magnetic resonance imaging in Asia. Int J Technol Assess Health Care. 2002; 18: 690704.Google Scholar
11.Lee, YS. Profitability determinants of hospitals in Korea. Doctoral dissertation, Yonsei University; 2002.Google Scholar
12.OECD working party on Biotechnology. Draft final report of the new and emerging health-related technologies project. Paris: OECD; 2004.Google Scholar
13.Oh, EH, Imanaka, Y, Evans, E. Determinants of the diffusion of computed tomography and magnetic resonance imaging. Int J Technol Assess Health Care. 2005; 21: 7380.CrossRefGoogle ScholarPubMed
14.Olsson, S. Diffusion, utilisation and regional variations in the use of CT and MRI in Sweden. Comput Methods Programs Biomed. 2001; 66: 129135.CrossRefGoogle ScholarPubMed
15.Rogers, E. Diffusion of innovation. 4th ed. New York: The Free Press; 1995.Google Scholar
16.Slade, EP, Anderson, GF. The relationship between per capita income and diffusion of medical technologies. Health Policy. 2001; 58: 114.CrossRefGoogle ScholarPubMed
17.Sloan, FA, Valvona, J, Perrin, JM. Diffusion of surgical technology. J Health Econ. 1986; 5: 3161.Google Scholar
18.Steinberg, EP, Sick, J, Locke, K. X-ray CT and MRI: Diffusion patterns and policy issues. N Engl J Med. 1985; 3: 859864.CrossRefGoogle Scholar
19.Teplensky, JD, Pauly, MV, Kimberly, JR et al. , Hospital adoption of medical technology: An empirical test of alternative models. Health Serv Res. 1995; 30: 437465.Google ScholarPubMed
20.Yoon, SJ. Adoption and diffusion process of computerized tomography in Korea. Master's dissertation, Seoul National University; 1997.Google Scholar