The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
School of Nursing, Fudan University, Shanghai, China.
Support Care Cancer. 2021 Oct;29(10):6109-6117. doi: 10.1007/s00520-020-05962-4. Epub 2021 Apr 2.
To identify a cut-off score for the COmprehensive Score for financial Toxicity (COST) to predict a clinical implication of a high level of financial toxicity (FT).
A total of 640 cancer patients were recruited from three regional hospitals in Hong Kong. They completed a questionnaire comprising the COST measure and the Functional Assessment of Cancer Therapy - General (FACT-G) instrument. The cut-off score for the COST that predicts the lowest quartile of the FACT-G total score was identified by receiver operating characteristic (ROC) analysis. The sample was then stratified by this cut-off score, and characteristics were compared using Fisher's exact, chi-squared or independent sample t-test.
The mean scores were 20.1 ± 8.8 for the COST and 71.6 ± 15.5 for the FACT-G. The ROC analysis suggested that the cut-off of 17.5 yielded an acceptable sensitivity and specificity. Characteristics of patients with a higher level of FT included being younger, having a monthly household income of < 10,000 HKD (approximately 1290 USD), being more likely not employed, having stage IV cancer and receiving targeted and/or immunotherapy. In terms of financial support, a higher proportion of these patients had discussed financial issues with health care professionals and had received financial assistance. In addition, fewer of them were covered by private health insurance.
Our findings suggest a cut-off for the COST that can be used to screen for FT in clinical settings. In addition, while a considerable proportion of high-FT patients received targeted therapy, they often received financial assistance. There is a gap between financial hardship and assistance that warrants attention.
确定综合财务毒性评分(COST)的截断值,以预测高水平财务毒性(FT)的临床意义。
从香港的三家地区医院招募了 640 名癌症患者。他们完成了一份问卷,其中包括 COST 测量和癌症治疗功能评估-一般(FACT-G)量表。通过受试者工作特征(ROC)分析确定预测 FACT-G 总分最低四分位数的 COST 截断值。然后根据该截断值对样本进行分层,并使用 Fisher's 精确检验、卡方检验或独立样本 t 检验比较特征。
COST 的平均得分为 20.1±8.8,FACT-G 的平均得分为 71.6±15.5。ROC 分析表明,17.5 的截断值具有可接受的灵敏度和特异性。FT 水平较高的患者的特征包括年龄较小、家庭月收入低于 10,000 HKD(约合 1290 美元)、更有可能未就业、患有 IV 期癌症以及接受靶向和/或免疫治疗。在财务支持方面,这些患者中有更高比例与医疗保健专业人员讨论了财务问题并获得了财务援助。此外,他们中更少的人有私人医疗保险。
我们的研究结果表明,可以使用 COST 的截断值在临床环境中筛查 FT。此外,尽管相当一部分高 FT 患者接受了靶向治疗,但他们经常获得经济援助。经济困难和援助之间存在差距,值得关注。