Division of General Internal Medicine, Johns Hopkins School of Medicine, 624 N. Broadway, Room 657, Baltimore, MD, 21205, USA,
Qual Life Res. 2013 Dec;22(10):2685-91. doi: 10.1007/s11136-013-0387-8. Epub 2013 Mar 27.
Patient-reported outcomes (PROs) are used increasingly for individual patient management. Identifying which PRO scores require a clinician's attention is an ongoing challenge. Previous research used a needs assessment to identify EORTC-QLQ-C30 cutoff scores representing unmet needs. This analysis attempted to replicate the previous findings in a new and larger sample.
This analysis used data from 408 Japanese ambulatory breast cancer patients who completed the QLQ-C30 and Supportive Care Needs Survey-Short Form-34 (SCNS-SF34). Applying the methods used previously, SCNS-SF34 item/domain scores were dichotomized as no versus some unmet need. We calculated area under the receiver operating characteristic curve (AUC) to evaluate QLQ-C30 scores' ability to discriminate between patients with no versus some unmet need based on SCNS-SF34 items/domains. For QLQ-C30 domains with AUC ≥ 0.70, we calculated the sensitivity, specificity, and predictive value of various cutoffs for identifying unmet needs. We hypothesized that compared to our original analysis, (1) the same six QLQ-C30 domains would have AUC ≥ 0.70, (2) the same SCNS-SF34 items would be best discriminated by QLQ-C30 scores, and (3) the sensitivity and specificity of our original cutoff scores would be supported.
The findings from our original analysis were supported. The same six domains with AUC ≥ 0.70 in the original analysis had AUC ≥ 0.70 in this new sample, and the same SCNS-SF34 item was best discriminated by QLQ-C30 scores. Cutoff scores were identified with sensitivity ≥0.84 and specificity ≥0.54.
Given these findings' concordance with our previous analysis, these QLQ-C30 cutoffs could be implemented in clinical practice and their usefulness evaluated.
患者报告的结局(PROs)越来越多地用于患者的个体化管理。确定哪些 PRO 评分需要临床医生关注是一个持续存在的挑战。先前的研究使用需求评估来确定代表未满足需求的 EORTC-QLQ-C30 截断分数。本分析试图在一个新的、更大的样本中复制先前的发现。
本分析使用了 408 名完成 QLQ-C30 和支持性护理需求调查-短表-34(SCNS-SF34)的日本门诊乳腺癌患者的数据。应用先前使用的方法,将 SCNS-SF34 项目/域评分分为无未满足需求和有未满足需求。我们计算了接收者操作特征曲线下的面积(AUC),以评估 QLQ-C30 评分根据 SCNS-SF34 项目/域区分无未满足需求和有未满足需求的能力。对于 AUC≥0.70 的 QLQ-C30 域,我们计算了各种截断值识别未满足需求的敏感性、特异性和预测值。我们假设与原始分析相比,(1)相同的六个 QLQ-C30 域将具有 AUC≥0.70,(2)相同的 SCNS-SF34 项目将被 QLQ-C30 评分最佳区分,以及(3)我们原始截断分数的敏感性和特异性将得到支持。
支持我们原始分析的发现。在原始分析中 AUC≥0.70 的相同六个领域在新样本中 AUC≥0.70,并且相同的 SCNS-SF34 项目被 QLQ-C30 评分最佳区分。确定了截断值,其敏感性≥0.84,特异性≥0.54。
鉴于这些发现与我们先前的分析一致,这些 QLQ-C30 截断值可以在临床实践中实施,并评估其有用性。