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Diffusion of innovation in radiation oncology in the United States
OBJECTIVE: To develop an instrument for quantifying innovation and assess the diffusion of innovation in radiation oncology (RO) in the United States. METHODS: Primary data were collected for using total population convenience sampling. Innovation Score and Innovation Utilization Score were determin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583171/ https://www.ncbi.nlm.nih.gov/pubmed/33178982 http://dx.doi.org/10.1259/bjro.20200025 |
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author | Sansourekidou, Patricia Margaritis, Vasileios Kuo, Wen-Hung |
author_facet | Sansourekidou, Patricia Margaritis, Vasileios Kuo, Wen-Hung |
author_sort | Sansourekidou, Patricia |
collection | PubMed |
description | OBJECTIVE: To develop an instrument for quantifying innovation and assess the diffusion of innovation in radiation oncology (RO) in the United States. METHODS: Primary data were collected for using total population convenience sampling. Innovation Score and Innovation Utilization Score were determined using 20 indicators. 240 medical physicists (MPs) practicing in RO in the United States completed a custom Internet-based survey. RESULTS: Centers with no academic affiliation are trailing behind in innovation in total (MD = 1.65, 95% C I[0.38,2.917], p = 0.011, d = 0.351), in patient treatment (MD = 0.39, 95% CI [0.021,0.76], p = 0.038, d = 0.282), and workflow innovation (MD = 7.09, 95% CI [0.78,13.39], p = 0.028, d = 0.330). Centers with no academic affiliation are trailing behind in innovation utilization in total (MD = 0.46, 95% CI [0.05,0.86], p = 0.028, d = 0.188). Rural center are trailing behind in patient positioning in innovation (MD = 0.31, 95% CI [0.011,0.612], p = 0.042, d = 0.293) and innovation utilization (MD = 16.22, 95% CI [0.73,31.72], p = 0.04, d = 0.608). Rural centers are trailing behind in innovative treatments (MD = 0.62, 95% CI [0.23,1.00], p = 0.002, d = 0.457). Motivation (r(s) = 0.224, p = 0.002) and appreciation (r(s) = 0.215, p = 0.003) were statistically significant personal factors influencing innovation utilization. CONCLUSIONS: There is a wide range of innovation across RO centers in the United States. RO centers in the United States are not practicing as innovative as reasonably achievable. ADVANCES IN KNOWLEDGE: This work quantified how innovative RO in the United States is and results provide guidance on how to improve it in the future. |
format | Online Article Text |
id | pubmed-7583171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The British Institute of Radiology. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75831712020-11-10 Diffusion of innovation in radiation oncology in the United States Sansourekidou, Patricia Margaritis, Vasileios Kuo, Wen-Hung BJR Open Original Research OBJECTIVE: To develop an instrument for quantifying innovation and assess the diffusion of innovation in radiation oncology (RO) in the United States. METHODS: Primary data were collected for using total population convenience sampling. Innovation Score and Innovation Utilization Score were determined using 20 indicators. 240 medical physicists (MPs) practicing in RO in the United States completed a custom Internet-based survey. RESULTS: Centers with no academic affiliation are trailing behind in innovation in total (MD = 1.65, 95% C I[0.38,2.917], p = 0.011, d = 0.351), in patient treatment (MD = 0.39, 95% CI [0.021,0.76], p = 0.038, d = 0.282), and workflow innovation (MD = 7.09, 95% CI [0.78,13.39], p = 0.028, d = 0.330). Centers with no academic affiliation are trailing behind in innovation utilization in total (MD = 0.46, 95% CI [0.05,0.86], p = 0.028, d = 0.188). Rural center are trailing behind in patient positioning in innovation (MD = 0.31, 95% CI [0.011,0.612], p = 0.042, d = 0.293) and innovation utilization (MD = 16.22, 95% CI [0.73,31.72], p = 0.04, d = 0.608). Rural centers are trailing behind in innovative treatments (MD = 0.62, 95% CI [0.23,1.00], p = 0.002, d = 0.457). Motivation (r(s) = 0.224, p = 0.002) and appreciation (r(s) = 0.215, p = 0.003) were statistically significant personal factors influencing innovation utilization. CONCLUSIONS: There is a wide range of innovation across RO centers in the United States. RO centers in the United States are not practicing as innovative as reasonably achievable. ADVANCES IN KNOWLEDGE: This work quantified how innovative RO in the United States is and results provide guidance on how to improve it in the future. The British Institute of Radiology. 2020-08-26 /pmc/articles/PMC7583171/ /pubmed/33178982 http://dx.doi.org/10.1259/bjro.20200025 Text en © 2020 The Authors. Published by the British Institute of Radiology This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Original Research Sansourekidou, Patricia Margaritis, Vasileios Kuo, Wen-Hung Diffusion of innovation in radiation oncology in the United States |
title | Diffusion of innovation in radiation oncology in the United States |
title_full | Diffusion of innovation in radiation oncology in the United States |
title_fullStr | Diffusion of innovation in radiation oncology in the United States |
title_full_unstemmed | Diffusion of innovation in radiation oncology in the United States |
title_short | Diffusion of innovation in radiation oncology in the United States |
title_sort | diffusion of innovation in radiation oncology in the united states |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583171/ https://www.ncbi.nlm.nih.gov/pubmed/33178982 http://dx.doi.org/10.1259/bjro.20200025 |
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