Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Department of Radiation Oncology, Stanford University, Palo Alto, CA.
JCO Glob Oncol. 2022 May;8:e2100431. doi: 10.1200/GO.21.00431.
Global access to radiotherapy (RT) is inequitable, with obstacles to implementing modern technologies in low- and middle- income countries (LMICs). The Radiation Planning Assistant (RPA) is a web-based automated RT planning software package intended to increase accessibility of high-quality RT planning. We surveyed LMIC RT providers to identify barriers and facilitators of future RPA deployment and uptake.
RT providers underwent a pilot RPA teaching session in sub-Saharan Africa (Botswana, South Africa, and Tanzania) and Central America (Guatemala). Thirty providers (30 of 33, 90.9% response rate) participated in a postsession survey.
Respondents included physicians (n = 10, 33%), physicists (n = 9, 30%), dosimetrists (n = 8, 27%), residents/registrars (n = 1, 3.3%), radiation therapists (n = 1, 3.3%), and administrators (n = 1, 3.3%). Overall, 86.7% expressed interest in RPA; more respondents expected that RPA would be usable in 2 years (80%) compared with now (60%). Anticipated barriers were lack of reliable internet (80%), potential subscription fees (60%), and need for functionality in additional disease sites (48%). Expected facilitators included decreased workload (80%), decreased planning time (72%), and ability to treat more patients (64%). Forty-four percent anticipated that RPA would help transition from 2-dimensional to 3-dimensional techniques and 48% from 3-dimensional to intensity-modulated radiation treatment. Of a maximum acceptability/feasibility score of 60, physicians (45.6, standard deviation [SD] = 7.5) and dosimetrists (44.3, SD = 9.1) had lower scores than the mean for all respondents (48.3, SD = 7.7) although variation in scores by roles was not significantly different ( = .21).
These data provide an early assessment and create an initial framework to identify stakeholder needs and establish priorities to address barriers and promote facilitators of RPA deployment and uptake across global sites, as well as to tailor to needs in LMICs.
全球获得放射治疗(RT)的机会不平等,中低收入国家(LMICs)在实施现代技术方面存在障碍。放射计划助手(RPA)是一种基于网络的自动化 RT 计划软件包,旨在提高高质量 RT 计划的可及性。我们调查了 LMIC 的 RT 提供者,以确定未来 RPA 部署和采用的障碍和促进因素。
RT 提供者在撒哈拉以南非洲(博茨瓦纳、南非和坦桑尼亚)和中美洲(危地马拉)进行了试点 RPA 教学课程。30 名提供者(33 名中的 30 名,90.9%的回复率)参加了课后调查。
受访者包括医生(n=10,33%)、物理学家(n=9,30%)、剂量师(n=8,27%)、住院医师/住院医师(n=1,3.3%)、放射治疗师(n=1,3.3%)和管理员(n=1,3.3%)。总体而言,86.7%的人对 RPA 表示有兴趣;与现在相比,更多的受访者预计 2 年后(80%)RPA 将更可用。预计的障碍包括缺乏可靠的互联网(80%)、潜在的订阅费(60%)和需要在其他疾病部位增加功能(48%)。预期的促进因素包括工作量减少(80%)、计划时间减少(72%)和治疗更多患者的能力(64%)。44%的人预计 RPA 将有助于从 2 维技术过渡到 3 维技术,48%的人预计从 3 维技术过渡到强度调制放射治疗。在 60 分的最大可接受性/可行性评分中,医生(45.6,标准差[SD]=7.5)和剂量师(44.3,SD=9.1)的得分低于所有受访者的平均得分(48.3,SD=7.7),尽管角色之间的得分差异不显著(=0.21)。
这些数据提供了早期评估,并为确定利益相关者的需求和确定解决 RPA 部署和采用障碍以及促进全球站点采用的优先事项建立了初步框架,同时也为中低收入国家的需求提供了针对性。