Sansourekidou Patricia, Margaritis Vasileios, Kuo Wen-Hung
Department of Radiation Oncology, Montefiore Health System - White Plains Hospital Center for Cancer Care, White Plains, NY, 10601, United States.
Walden University, Minneapolis, MN, United States.
BJR Open. 2020 Aug 26;2(1):20200025. doi: 10.1259/bjro.20200025. eCollection 2020.
To develop an instrument for quantifying innovation and assess the diffusion of innovation in radiation oncology (RO) in the United States.
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.
Centers with no academic affiliation are trailing behind in innovation in total (MD = 1.65, 95% C I[0.38,2.917], = 0.011, = 0.351), in patient treatment (MD = 0.39, 95% CI [0.021,0.76], = 0.038, = 0.282), and workflow innovation (MD = 7.09, 95% CI [0.78,13.39], = 0.028, = 0.330). Centers with no academic affiliation are trailing behind in innovation utilization in total (MD = 0.46, 95% CI [0.05,0.86], = 0.028, = 0.188). Rural center are trailing behind in patient positioning in innovation (MD = 0.31, 95% CI [0.011,0.612], = 0.042, = 0.293) and innovation utilization (MD = 16.22, 95% CI [0.73,31.72], = 0.04, 0.608). Rural centers are trailing behind in innovative treatments (MD = 0.62, 95% CI [0.23,1.00], = 0.002, = 0.457). Motivation (r = 0.224, = 0.002) and appreciation (r = 0.215, = 0.003) were statistically significant personal factors influencing innovation utilization.
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.
This work quantified how innovative RO in the United States is and results provide guidance on how to improve it in the future.
开发一种用于量化创新的工具,并评估美国放射肿瘤学(RO)领域的创新扩散情况。
采用总体便利抽样收集原始数据。使用20项指标确定创新得分和创新利用得分。240名在美国从事RO工作的医学物理学家完成了一项基于互联网的定制调查。
无学术附属关系的中心在总体创新方面落后(MD = 1.65,95%CI[0.38,2.917],P = 0.011,η² = 0.351),在患者治疗方面落后(MD = 0.39,95%CI[0.021,0.76],P = 0.038,η² = 0.282),在工作流程创新方面落后(MD = 7.09,95%CI[0.78,13.39],P = 0.028,η² = 0.330)。无学术附属关系的中心在总体创新利用方面落后(MD = 0.46,95%CI[0.05,0.86],P = 0.028,η² = 0.188)。农村中心在患者定位创新方面落后(MD = 0.31,95%CI[0.011,0.612],P = 0.042,η² = 0.293)以及创新利用方面落后(MD = 16.22,95%CI[0.73,31.72],P = 0.04,η² = 0.608)。农村中心在创新治疗方面落后(MD = 0.62,95%CI[0.23,1.00],P = 0.002,η² = 0.457)。动机(r = 0.224,P = 0.002)和认可(r = 0.215,P = 0.003)是影响创新利用的具有统计学意义的个人因素。
美国各地的RO中心存在广泛的创新差异。美国的RO中心在创新实践方面未达到合理可实现的水平。
这项工作量化了美国RO的创新程度,其结果为未来如何改进提供了指导。