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Computed Tomography: Return on Investment and Regional Disparity Factor Analysis
The number of computed tomography (CT) systems in operation in Japan is approximately 4.3 times higher than that of the OECD average. However, CT systems are expensive, and thus, a heavy financial burden for hospital management. We calculate the annual net profits from CT introduction in Japan for s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335945/ https://www.ncbi.nlm.nih.gov/pubmed/30687691 http://dx.doi.org/10.3389/fpubh.2018.00380 |
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author | Imai, Shinya Akahane, Manabu Imamura, Tomoaki |
author_facet | Imai, Shinya Akahane, Manabu Imamura, Tomoaki |
author_sort | Imai, Shinya |
collection | PubMed |
description | The number of computed tomography (CT) systems in operation in Japan is approximately 4.3 times higher than that of the OECD average. However, CT systems are expensive, and thus, a heavy financial burden for hospital management. We calculate the annual net profits from CT introduction in Japan for single-slice CT (SSCT), multi-slice CT (MSCT), number of hospital beds, and prefecture. We also analyze the factors that affect CT profitability. First, the annual income per CT in operation is estimated for 2011. Second, the annual costs per CT are calculated as the sum of depreciation, maintenance, and labor costs. Finally, the annual net profits per CT are estimated for SSCT and MSCT, the number of hospital beds, and prefecture. A correlation analysis between the annual net profits, population, and number of physicians per CT equipment is used to determine the determinants of the net CT profits by prefecture. Our results show that, for hospitals with fewer than 100 beds, the annual net CT profits are higher for SSCT than MSCT, and vice versa for hospitals with at least 100 beds. Both SSCT and MSCT increased profits as the number of hospital beds increased. The annual net CT profits per prefecture are USD −12,105 for SSCT and USD 87,233 for MSCT, on average. The annual net profits per prefecture and population per CT show positive correlations with both SSCT and MSCT, as do the annual net profits per prefecture and number of physicians per CT. Thus, choosing high-performance MSCT is advantageous in terms of profitability in facilities with at least 100 beds. Additionally, CT profitability presumably affects the balance between the number of introduced CTs, population per CT, and number of physicians per CT. |
format | Online Article Text |
id | pubmed-6335945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63359452019-01-25 Computed Tomography: Return on Investment and Regional Disparity Factor Analysis Imai, Shinya Akahane, Manabu Imamura, Tomoaki Front Public Health Public Health The number of computed tomography (CT) systems in operation in Japan is approximately 4.3 times higher than that of the OECD average. However, CT systems are expensive, and thus, a heavy financial burden for hospital management. We calculate the annual net profits from CT introduction in Japan for single-slice CT (SSCT), multi-slice CT (MSCT), number of hospital beds, and prefecture. We also analyze the factors that affect CT profitability. First, the annual income per CT in operation is estimated for 2011. Second, the annual costs per CT are calculated as the sum of depreciation, maintenance, and labor costs. Finally, the annual net profits per CT are estimated for SSCT and MSCT, the number of hospital beds, and prefecture. A correlation analysis between the annual net profits, population, and number of physicians per CT equipment is used to determine the determinants of the net CT profits by prefecture. Our results show that, for hospitals with fewer than 100 beds, the annual net CT profits are higher for SSCT than MSCT, and vice versa for hospitals with at least 100 beds. Both SSCT and MSCT increased profits as the number of hospital beds increased. The annual net CT profits per prefecture are USD −12,105 for SSCT and USD 87,233 for MSCT, on average. The annual net profits per prefecture and population per CT show positive correlations with both SSCT and MSCT, as do the annual net profits per prefecture and number of physicians per CT. Thus, choosing high-performance MSCT is advantageous in terms of profitability in facilities with at least 100 beds. Additionally, CT profitability presumably affects the balance between the number of introduced CTs, population per CT, and number of physicians per CT. Frontiers Media S.A. 2019-01-10 /pmc/articles/PMC6335945/ /pubmed/30687691 http://dx.doi.org/10.3389/fpubh.2018.00380 Text en Copyright © 2019 Imai, Akahane and Imamura. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Imai, Shinya Akahane, Manabu Imamura, Tomoaki Computed Tomography: Return on Investment and Regional Disparity Factor Analysis |
title | Computed Tomography: Return on Investment and Regional Disparity Factor Analysis |
title_full | Computed Tomography: Return on Investment and Regional Disparity Factor Analysis |
title_fullStr | Computed Tomography: Return on Investment and Regional Disparity Factor Analysis |
title_full_unstemmed | Computed Tomography: Return on Investment and Regional Disparity Factor Analysis |
title_short | Computed Tomography: Return on Investment and Regional Disparity Factor Analysis |
title_sort | computed tomography: return on investment and regional disparity factor analysis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6335945/ https://www.ncbi.nlm.nih.gov/pubmed/30687691 http://dx.doi.org/10.3389/fpubh.2018.00380 |
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