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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The relationship between high-tech medical equipment and health service volume

Chang, Chia-Yi 17 January 2007 (has links)
The development and the utility of high-tech medical equipments are increasing relative to the health expenditure growth. These high-tech equipments do not necessary benefit the quality of patient care but increase the service utilization for hospitals. This study aims to describe the difference of equipments distribution between academic medical centers and metropolitan hospitals and to examine the association between the change of the kinds, number, and utility of high-tech medical equipments and the health service utilization. Two databases were used in this study. First, a secondary data from the annual hospital survey published in 2003 and 2004 by Taiwan Hospital Association was used. The data contained information on 8 health service volumes, kinds, number and utility of 17 kinds of high-tech medical equipments, 4 hospital characteristics, and 3 kinds of staff ratio. Second, Statistical Yearbook of Department of Social Affairs, Ministry of Interior provided data on Tthe percentage of 65+ years old population in every location. The 8 kinds of health service volumes varience were designed as dependent variables and the 3 independent variables were separately change of kinds, number and utility of high-tech medical equipments. There were 59 samples, 8 academic medical centers and 51 metropolitan hospitals, included. The t-test showed differences between academic medical centers and metropolitan hospitals in change of kinds, number, utility of high-tech medical equipments and health service volumes varience. Person correlation presented how these variables correlated to each other. Regression analyses predicted the health service utilization from those variables. Generally speaking, the academic medical centers only had significant higher varience of average daily emergency roomvisits¡]t = 3.59, p = 0.01¡^than metropolitan hospitals did but there was no significant difference in 3 independent variables. Besides, correlation among medical equipments, health service utilization and themselves shows that the change of total high-tech medical equipment kinds was significant positive correlated with the change of total number of high-tech medical equipments¡]r = 0.44¡^; the change of total number of high-tech medical equipment was significant positive correlated with average daily emergency roomvisits varience¡]r = 0.28¡^and average daily physical examination of outpatient department visits variance¡]r = 0.30¡^; the average utility of high-tech medical equipment was significant positive correlated with average daily outpatient department visits varience¡]r = 0.27¡^. However, the 3 independent variables have no overall significant effect on change of health service utilization. Based on the above findings, although literature indicated that the kinds and number of high-tech medical equipments somehow might stimulate the demand for health service, we did not find the same results. It could be concluded that hospitals¡¦ purchasing of equipment do not impose a significant impact on raising the medical service utilization. Thus, acquisition of high-tech medical equipment might make a hospital a technological leader or give the public a more professional image whether it can help a hospital raise the service quantity is still left to its management.

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