Dierkes McKinzey, Cai Yilin, Trotta Victoria, Policicchio Patricia, Wen Sijin, Dzwil Gwendolyn, Davis Nicholas, Stout Nicole L
West Virginia Clinical and Translational Science Institute, Morgantown, WV, 26506, USA.
Division of Physical Therapy, West Virginia University School of Medicine, Morgantown, WV, USA.
Support Care Cancer. 2025 May 21;33(6):487. doi: 10.1007/s00520-025-09534-2.
Psychological distress among cancer patients is linked to adverse outcomes. The enhanced Distress Thermometer (eDT) allows patients to self-report distress levels on a Likert scale (0-10) and select from a list of physical, emotional, family, and psychological problems contributing to their distress. The physical problem list includes symptoms and functional impairments. Little is known about the predictive validity of the eDT physical problem list. This study aims to evaluate predictors of risk associated with distress scores measured by the eDT among patients with physical problems.
Patient medical records with significant distress were reviewed, defined by eDT scores ≥ 6 with any physical problems or scores < 6 with > 3 problems selected. Patients were categorized into three groups based on eDT score: mild (1-3), moderate (4-6), and severe (7-10). The chi-square test assessed differences in demographic and clinical variables across distress categories. Linear regression evaluated associations between distress scores and significant predictive variables.
Data from 549 patients showed severe distress was common among head and neck, breast, skin, and colorectal cancers. Significant predictors of distress included age, gender, geography, and number of physical problems (NPP) reported. Higher distress was associated with individuals younger, female, urban, and reporting more physical problems. The regression model explained 15% of the variance in distress scores.
Age, geography, gender, and NPP were factors influencing distress in cancer patients. Future research is recommended to develop more comprehensive clinical and demographic profiles to better identify cancer patients at risk for high distress and unmet supportive care needs.
癌症患者的心理困扰与不良预后相关。增强型困扰温度计(eDT)可让患者以李克特量表(0 - 10)自我报告困扰程度,并从导致其困扰的身体、情绪、家庭和心理问题列表中进行选择。身体问题列表包括症状和功能障碍。关于eDT身体问题列表的预测效度知之甚少。本研究旨在评估身体有问题的患者中,与eDT测量的困扰得分相关的风险预测因素。
回顾了有显著困扰的患者病历,显著困扰定义为eDT得分≥6且有任何身体问题,或得分<6但选择了>3个问题。根据eDT得分将患者分为三组:轻度(1 - 3)、中度(4 - 6)和重度(7 - 10)。卡方检验评估不同困扰类别在人口统计学和临床变量上的差异。线性回归评估困扰得分与显著预测变量之间的关联。
549例患者的数据显示,严重困扰在头颈癌、乳腺癌、皮肤癌和结直肠癌患者中很常见。困扰的显著预测因素包括年龄、性别、地理位置以及报告的身体问题数量(NPP)。较高的困扰与年龄较小、女性、城市居民以及报告更多身体问题的个体相关。回归模型解释了困扰得分方差的15%。
年龄、地理位置、性别和NPP是影响癌症患者困扰的因素。建议未来开展更多研究以建立更全面的临床和人口统计学特征,以便更好地识别有高困扰风险和未满足支持性护理需求的癌症患者。