Karibayeva Indira, Turdaliyeva Botagoz, Zainal Nor Zuraida, Bagiyarova Fatima, Kussainova Dinara
Department of Public Health, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Department of Epidemiology, Evidence-Based Medicine and Biostatistics, Kazakhstan's Medical University "KSPH" Almaty, Kazakhstan.
Heliyon. 2023 Jul 10;9(7):e18146. doi: 10.1016/j.heliyon.2023.e18146. eCollection 2023 Jul.
This study aimed to evaluate the validity of the Beck Depression Inventory (BDI-II) as a screening tool for depression among Kazakh-speaking female cancer patients. A cross-sectional study design with random sampling was used to collect and analyze data from 115 female cancer patients. Means, sensitivity, specificity, and positive and negative predictive values were calculated. An analysis of receiver operating characteristic (ROC) curves was conducted to determine the optimal cut-off score for the BDI-II in this population as a screening tool for depression. Test-retest reliability and internal consistency were also tested. Results showed that using a BDI-II cut score of 15 retained high sensitivity (82.7%), increased specificity (75.0%), and improved positive (86.1%) and negative predictive values (69.8%) of the BDI-II compared to a cut score of 14. Kazakh BDI-II indicated excellent consistency (Cronbach's alpha of 0.86) and reliability (intraclass correlation coefficient (ICC) of 0.92 (95% CI [0.89-0.94])). The use of this valid screening tool can facilitate the diagnosis of depression in female cancer patients.
本研究旨在评估贝克抑郁量表(BDI-II)作为哈萨克语女性癌症患者抑郁筛查工具的有效性。采用随机抽样的横断面研究设计,收集并分析了115名女性癌症患者的数据。计算了均值、敏感性、特异性以及阳性和阴性预测值。进行了受试者工作特征(ROC)曲线分析,以确定BDI-II在该人群中作为抑郁筛查工具的最佳截断分数。还测试了重测信度和内部一致性。结果显示,与截断分数为14相比,使用BDI-II截断分数为15时,保持了较高的敏感性(82.7%),提高了特异性(75.0%),并改善了BDI-II的阳性预测值(86.1%)和阴性预测值(69.8%)。哈萨克语版BDI-II显示出极好的一致性(Cronbach's alpha为0.86)和信度(组内相关系数(ICC)为0.92(95%CI[0.89 - 0.94]))。使用这种有效的筛查工具可以促进女性癌症患者抑郁的诊断。