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Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions
BACKGROUND: The development and application of medical technologies reflect the medical quality and clinical capacity of a hospital. It is also an effective approach in upgrading medical service and core competitiveness among medical institutions. This study aimed to build a quantitative medical tec...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987505/ https://www.ncbi.nlm.nih.gov/pubmed/29786047 http://dx.doi.org/10.4103/0366-6999.232804 |
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author | Wu, Suo-Wei Chen, Tong Pan, Qi Wei, Liang-Yu Wang, Qin Li, Chao Song, Jing-Chen Luo, Ji |
author_facet | Wu, Suo-Wei Chen, Tong Pan, Qi Wei, Liang-Yu Wang, Qin Li, Chao Song, Jing-Chen Luo, Ji |
author_sort | Wu, Suo-Wei |
collection | PubMed |
description | BACKGROUND: The development and application of medical technologies reflect the medical quality and clinical capacity of a hospital. It is also an effective approach in upgrading medical service and core competitiveness among medical institutions. This study aimed to build a quantitative medical technology evaluation system through questionnaire survey within medical institutions to perform an assessment to medical technologies more objectively and accurately, and promote the management of medical quality technologies and ensure the medical safety of various operations among the hospitals. METHODS: A two-leveled quantitative medical technology evaluation system was built through a two-round questionnaire survey of chosen experts. The Delphi method was applied in identifying the structure of evaluation system and indicators. The judgment of the experts on the indicators was adopted in building the matrix so that the weight coefficient and maximum eigenvalue (λ max), consistency index (CI), and random consistency ratio (CR) could be obtained and collected. The results were verified through consistency tests, and the index weight coefficient of each indicator was conducted and calculated through analytical hierarchy process. RESULTS: Twenty-six experts of different medical fields were involved in the questionnaire survey, 25 of whom successfully responded to the two-round research. Altogether, 4 primary indicators (safety, effectiveness, innovativeness, and benefits), as well as 13 secondary indicators, were included in the evaluation system. The matrix is built to conduct the λ max, CI, and CR of each expert in the survey, and the index weight coefficients of primary indicators were 0.33, 0.28, 0.27, and 0.12, respectively, and the index weight coefficients of secondary indicators were conducted and calculated accordingly. CONCLUSIONS: As the two-round questionnaire survey of experts and statistical analysis were performed and credibility of the results was verified through consistency evaluation test, the study established a quantitative medical technology evaluation system model and assessment indicators within medical institutions based on the Delphi method and analytical hierarchy process. Moreover, further verifications, adjustments, and optimizations of the system and indicators will be performed in follow-up studies. |
format | Online Article Text |
id | pubmed-5987505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-59875052018-06-15 Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions Wu, Suo-Wei Chen, Tong Pan, Qi Wei, Liang-Yu Wang, Qin Li, Chao Song, Jing-Chen Luo, Ji Chin Med J (Engl) Original Article BACKGROUND: The development and application of medical technologies reflect the medical quality and clinical capacity of a hospital. It is also an effective approach in upgrading medical service and core competitiveness among medical institutions. This study aimed to build a quantitative medical technology evaluation system through questionnaire survey within medical institutions to perform an assessment to medical technologies more objectively and accurately, and promote the management of medical quality technologies and ensure the medical safety of various operations among the hospitals. METHODS: A two-leveled quantitative medical technology evaluation system was built through a two-round questionnaire survey of chosen experts. The Delphi method was applied in identifying the structure of evaluation system and indicators. The judgment of the experts on the indicators was adopted in building the matrix so that the weight coefficient and maximum eigenvalue (λ max), consistency index (CI), and random consistency ratio (CR) could be obtained and collected. The results were verified through consistency tests, and the index weight coefficient of each indicator was conducted and calculated through analytical hierarchy process. RESULTS: Twenty-six experts of different medical fields were involved in the questionnaire survey, 25 of whom successfully responded to the two-round research. Altogether, 4 primary indicators (safety, effectiveness, innovativeness, and benefits), as well as 13 secondary indicators, were included in the evaluation system. The matrix is built to conduct the λ max, CI, and CR of each expert in the survey, and the index weight coefficients of primary indicators were 0.33, 0.28, 0.27, and 0.12, respectively, and the index weight coefficients of secondary indicators were conducted and calculated accordingly. CONCLUSIONS: As the two-round questionnaire survey of experts and statistical analysis were performed and credibility of the results was verified through consistency evaluation test, the study established a quantitative medical technology evaluation system model and assessment indicators within medical institutions based on the Delphi method and analytical hierarchy process. Moreover, further verifications, adjustments, and optimizations of the system and indicators will be performed in follow-up studies. Medknow Publications & Media Pvt Ltd 2018-06-05 /pmc/articles/PMC5987505/ /pubmed/29786047 http://dx.doi.org/10.4103/0366-6999.232804 Text en Copyright: © 2018 Chinese Medical Journal http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Wu, Suo-Wei Chen, Tong Pan, Qi Wei, Liang-Yu Wang, Qin Li, Chao Song, Jing-Chen Luo, Ji Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions |
title | Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions |
title_full | Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions |
title_fullStr | Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions |
title_full_unstemmed | Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions |
title_short | Establishment of a Quantitative Medical Technology Evaluation System and Indicators within Medical Institutions |
title_sort | establishment of a quantitative medical technology evaluation system and indicators within medical institutions |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987505/ https://www.ncbi.nlm.nih.gov/pubmed/29786047 http://dx.doi.org/10.4103/0366-6999.232804 |
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