Thom Bridgette, Tin Amy L, Chino Fumiko, Vickers Andrew J, Aviki Emeline M
University of North Carolina (UNC) School of Social Work, Chapel Hill, NC.
UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC.
JCO Oncol Pract. 2025 Jan;21(1):12-19. doi: 10.1200/OP-24-00598. Epub 2025 Jan 10.
Cancer-related financial toxicity occurs frequently and is a key driver of inequities in access to care and disparities in treatment outcomes. Current practices to screen for financial toxicity are inconsistent because of the lack of a validated and clinically integrated screening tool. This analysis aimed to create and assess an abbreviated version of the validated Comprehensive Score for Financial Toxicity (COST) tool, a measure of financial toxicity used for research purposes, which could easily be added into often-lengthy clinical screening workflows.
At an urban comprehensive cancer center with suburban satellite locations, a financial toxicity screening quality improvement project was conducted from June 2022 to August 2023 as part of routine clinical care: 57,526 longitudinal COST surveys were completed by 38,249 patients with cancer. An iterative algorithm selected the items with highest correlation with the total score. Using a separate validation data set, positive and negative predictive values (PPV and NPV, respectively) of the abbreviated tool (two-item) were assessed against the full COST score, with varying risk thresholds.
Inclusion of two COST questions (Q3: "I worry about the financial problems I will have in the future as a result of my illness or treatment"; Q6: "I am satisfied with my current financial situation") yielded a score that had a correlation of 0.922 with the full instrument score. For the two-item scale, PPV ranged from 74% to 91%, and NPV ranged from 91% to 98% when compared with the full COST tool.
This analysis of a large data set finds that a simplified COST tool has high predictive value when compared with the full validated measure. An abbreviated COST measure of two questions is suitable for implementation into clinical screening workflows.
癌症相关的经济毒性频繁发生,是获得医疗服务不平等和治疗结果差异的关键驱动因素。由于缺乏经过验证且临床整合的筛查工具,目前筛查经济毒性的做法并不一致。本分析旨在创建并评估经过验证的经济毒性综合评分(COST)工具的简化版本,这是一种用于研究目的的经济毒性测量方法,可以轻松添加到通常冗长的临床筛查工作流程中。
在一个设有郊区卫星地点的城市综合癌症中心,于2022年6月至2023年8月开展了一项经济毒性筛查质量改进项目,作为常规临床护理的一部分:38249名癌症患者完成了57526份纵向COST调查。一种迭代算法选择了与总分相关性最高的项目。使用一个单独的验证数据集,针对完整的COST评分,评估简化工具(两项)在不同风险阈值下的阳性和阴性预测值(分别为PPV和NPV)。
纳入两个COST问题(问题3:“我担心因疾病或治疗在未来会出现财务问题”;问题6:“我对自己目前的财务状况感到满意”)得出的分数与完整工具分数的相关性为0.922。对于两项量表,与完整的COST工具相比,PPV范围为74%至91%,NPV范围为91%至98%。
对一个大数据集的分析发现,与经过全面验证的测量方法相比,简化的COST工具具有较高的预测价值。一个由两个问题组成的简化COST测量方法适合应用于临床筛查工作流程。