@Article{信息:doi 10.2196 / / jmir。5598，作者=“Kim Junetae and Lim, Sanghee and Min, Yul Ha and Shin, Yong-Wook and Lee, Byungtae and Sohn, Guiyun and Jung, Kyung Hae and Lee, Jae-Ho and Son, Byung Ho and Ahn, Sei Hyun and Shin, Soo-Yong and Lee, Jong Won”，标题=“从乳腺癌患者的智能手机应用程序中使用每日心理健康评分进行抑郁症筛查”，期刊=“J Med Internet Res”，年=“2016”，月=“Aug”，日=“04”，卷=“18”，数=“8”，页数=“e216”，关键词=“抑郁症;智能手机应用程序;心理健康;背景:手机心理健康追踪器是一种收集用户自我报告的心理健康评级的手机应用程序。作为筛查个体患者抑郁症的工具，它们受到了临床医生的极大关注。虽然已经开发出了一些使用表情符号提问简单问题的应用程序，但还没有研究检验它们筛选效果的有效性。目的:在本研究中，我们(1)评估了移动心理健康跟踪器的潜力，该跟踪器使用三种每日心理健康评级(睡眠满意度、情绪和焦虑)作为抑郁指标，(2)讨论了生成指标变量的三种数据处理方法(比率、平均值和频率)，以及(3)检查了坚持使用移动心理健康跟踪器报告的影响和抑郁症筛查的准确性。方法:我们分析了78名乳腺癌患者在48周内收集的5792套日常心理健康评级。使用患者健康问卷-9 (PHQ-9)作为真实抑郁状态的衡量标准，我们进行了随机效应logistic面板回归和受试者工作特征(ROC)分析，以评估移动心理健康追踪器的筛查性能。 In addition, we classified patients into two subgroups based on their adherence level (higher adherence and lower adherence) using a k-means clustering algorithm and compared the screening accuracy between the two groups. Results: With the ratio approach, the area under the ROC curve (AUC) is 0.8012, indicating that the performance of depression screening using daily mental-health ratings gathered via mobile mental-health trackers is comparable to the results of PHQ-9 tests. Also, the AUC is significantly higher (P=.002) for the higher adherence group (AUC=0.8524) than for the lower adherence group (AUC=0.7234). This result shows that adherence to self-reporting is associated with a higher accuracy of depression screening. Conclusions: Our results support the potential of a mobile mental-health tracker as a tool for screening for depression in practice. Also, this study provides clinicians with a guideline for generating indicator variables from daily mental-health ratings. Furthermore, our results provide empirical evidence for the critical role of adherence to self-reporting, which represents crucial information for both doctors and patients. ", issn="1438-8871", doi="10.2196/jmir.5598", url="//www.mybigtv.com/2016/8/e216/", url="https://doi.org/10.2196/jmir.5598", url="http://www.ncbi.nlm.nih.gov/pubmed/27492880" }