PDF(Pubmed)
Abstract：
OBJECTIVE: Face-to-face evaluation is the most important in psychiatric evaluation, but smart healthcare, including non-face-to-face evaluation, can be beneficial considering the situation in which face-to-face evaluation is limited or the preventive aspect of mental illness. In this paper, we aimed to check whether mental health screening tests have the same significance as paper-based tests even when collected through mobile applications.
METHODS: A smart mental healthcare screening test was conducted on the 1,327 community subjects. We measured two indicators of depression (Patient Health Questionnaire 9-item scale, PHQ-9) and anxiety (Generalized Anxiety Disorder 7-item scale, GAD-7) to check mental health conditions.
RESULTS: The average Cronbach\'s alpha value of the PHQ-9 questionnaire was good at 0.870. As a result of PHQ-9\'s principal component analysis, one component with an eigenvalue of 1 or more was identified, which is suitable to be described as a single factor. The average Cronbach\'s alpha value of the GAD-7 was 0.919. The structural validity of the GAD-7 was confirmed through principal component analysis.
CONCLUSIONS: Our results show that PHQ-9 and GAD-7 scales performed through mobile applications can have the same meaning as paper-based tests. Surveys using a tablet PC, or smartphone application can monitor residents\' mental health and accumulate data. Based on these data, smart mental health management can check the mental health of residents and treat mental illness in connection with medical services.
METHODS: A smart mental healthcare screening test was conducted on the 1,327 community subjects. We measured two indicators of depression (Patient Health Questionnaire 9-item scale, PHQ-9) and anxiety (Generalized Anxiety Disorder 7-item scale, GAD-7) to check mental health conditions.
RESULTS: The average Cronbach\'s alpha value of the PHQ-9 questionnaire was good at 0.870. As a result of PHQ-9\'s principal component analysis, one component with an eigenvalue of 1 or more was identified, which is suitable to be described as a single factor. The average Cronbach\'s alpha value of the GAD-7 was 0.919. The structural validity of the GAD-7 was confirmed through principal component analysis.
CONCLUSIONS: Our results show that PHQ-9 and GAD-7 scales performed through mobile applications can have the same meaning as paper-based tests. Surveys using a tablet PC, or smartphone application can monitor residents\' mental health and accumulate data. Based on these data, smart mental health management can check the mental health of residents and treat mental illness in connection with medical services.
摘要：
目的：面对面评估是精神病学评估中最重要的，但是智能医疗，包括非面对面评估，考虑到面对面评估有限的情况或精神疾病的预防方面，可能是有益的。在本文中,我们的目的是检查心理健康筛查测试是否与纸质测试具有相同的意义，即使通过移动应用程序收集。
方法：对1,327名社区受试者进行了智能心理健康筛查测试。我们测量了两个抑郁指标(患者健康问卷9项量表，PHQ-9)和焦虑(广义焦虑症7项量表，GAD-7）检查精神健康状况。
结果：PHQ-9问卷的平均Cronbachα值良好，为0.870。作为PHQ-9主成分分析的结果，确定了一个特征值为1或更大的分量，这适合被描述为单一因素。GAD-7的平均Cronbachα值为0.919。通过主成分分析证实了GAD-7的结构有效性。
结论：我们的结果表明，通过移动应用程序进行的PHQ-9和GAD-7量表可以具有与纸质测试相同的含义。使用平板电脑进行调查，或智能手机应用程序可以监测居民的心理健康和积累数据。基于这些数据,智能心理健康管理可以检查居民的心理健康，并结合医疗服务治疗精神疾病。
方法：对1,327名社区受试者进行了智能心理健康筛查测试。我们测量了两个抑郁指标(患者健康问卷9项量表，PHQ-9)和焦虑(广义焦虑症7项量表，GAD-7）检查精神健康状况。
结果：PHQ-9问卷的平均Cronbachα值良好，为0.870。作为PHQ-9主成分分析的结果，确定了一个特征值为1或更大的分量，这适合被描述为单一因素。GAD-7的平均Cronbachα值为0.919。通过主成分分析证实了GAD-7的结构有效性。
结论：我们的结果表明，通过移动应用程序进行的PHQ-9和GAD-7量表可以具有与纸质测试相同的含义。使用平板电脑进行调查，或智能手机应用程序可以监测居民的心理健康和积累数据。基于这些数据,智能心理健康管理可以检查居民的心理健康，并结合医疗服务治疗精神疾病。
