Starrs Clodagh, Rabinowitz Sima, Moshier Erin, Green Sheryl
Department of Radiation Oncology, The Mount Sinai Hospital, New York, NY, United States.
Institute for Health Equity Research, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Tech Innov Patient Support Radiat Oncol. 2024 Sep 29;32:100279. doi: 10.1016/j.tipsro.2024.100279. eCollection 2024 Dec.
The study's goal was to evaluate the impact of a Radiation Oncologist (RO)-Radiation Therapist (RTT) mentorship on image approval rates for a breast population undergoing radiation therapy in a high-volume practice. The mentorship was undertaken within a large health system in partial fulfillment of the Expert Practice Module for a Masters (MSc) in Advanced Practice Radiotherapy and Oncology.
Images were retrieved from the MOSAIQ EMR on breast diagnostic code. 1,295 images/115 patients were reviewed pre-mentorship (October 2019-March 2020) and compared with 1,047 images/91patients during/post-mentorship (April 2020-September 2020). The Anderson-Gill (AG) model was used to estimate the hazard ratio for image rejection. Rejected images were classified by reason and compared using Fisher's exact test. Concordance data (RO/RTT image rejection) were collected during Phase Three of the mentorship.
Of 115 patients assessed pre-mentorship, 16 (14 %) had at least 1 image rejected at any session. Of 91 patients assessed post-mentorship, 8 (9 %) had at least 1 image rejected. Likelihood of image rejection decreased by 54 %, with a hazard ratio of 0.46 [95 % CI: 0.24, 0.88]; p = 0.0195. Reasons for image rejection differed pre- and post-mentorship. Poor imaging technique accounted for rejection of 9 of 24 images (37.5 %) before compared to 0 of 11 images (0 %) post-mentorship. Other reasons for image rejection: depth at isocenter (25 % pre-mentorship; 18 % post-mentorship), supraclavicular medial border position (12.5 % vs. 9.09 %), isocenter location (12.5 % vs. 0 %), arm position (4.17 % vs. 54.55 %); hip alignment (8.33 % vs. 18.18 %). Concordance rate was 100 %.
The mentorship proved successful in elevating the RTT's skills and image approval rates, while contributing to improvements in departmental imaging best practices.
本研究的目标是评估在大规模实践中,放射肿瘤学家(RO)-放射治疗师(RTT)指导对接受放射治疗的乳腺癌患者图像批准率的影响。该指导是在一个大型医疗系统内进行的,部分满足了高级实践放射治疗与肿瘤学硕士(MSc)专家实践模块的要求。
从MOSAIQ电子病历中检索乳腺诊断代码的图像。在指导前(2019年10月至2020年3月)对115名患者的1295张图像进行了审查,并与指导期间/指导后(2020年4月至2020年9月)的91名患者的1047张图像进行了比较。使用安德森-吉尔(AG)模型估计图像被拒绝的风险比。被拒绝的图像按原因分类,并使用Fisher精确检验进行比较。在指导的第三阶段收集一致性数据(RO/RTT图像拒绝情况)。
在指导前评估的115名患者中,有16名(14%)在任何一次检查中至少有1张图像被拒绝。在指导后评估的91名患者中,有8名(9%)至少有1张图像被拒绝。图像被拒绝的可能性降低了54%,风险比为0.46[95%置信区间:0.24, 0.88];p = 0.0195。指导前后图像被拒绝的原因有所不同。成像技术不佳在指导前导致24张图像中有9张(37.5%)被拒绝,而在指导后11张图像中为0张(0%)。图像被拒绝的其他原因:等中心深度(指导前25%;指导后18%)、锁骨上内侧边界位置(12.5%对9.09%)、等中心位置(12.5%对0%)、手臂位置(4.17%对54.55%);髋关节对齐情况(8.33%对18.18%)。一致性率为100%。
该指导被证明在提高RTT的技能和图像批准率方面是成功的,同时有助于改进部门成像的最佳实践。