Reutimann Stefan, Hübscher Noah, Steiner Jasmin, Voderholzer Ulrich, Augsburger Mareike
Klenico Health AG, University of Zurich Startup, Zurich, Switzerland.
Department of Health Sciences and Technology, Swiss Federal Institute of Technology, Zurich, Switzerland.
Front Digit Health. 2023 Aug 24;5:1176130. doi: 10.3389/fdgth.2023.1176130. eCollection 2023.
Mental disorders are often underdiagnosed in routine diagnostic procedures due to the use of unstandardized assessments; this can result in people either not receiving necessary treatment or receiving ineffective treatment for their condition. Klenico is an online diagnostic software system that facilitates diagnosis of mental disorders in adults through the use of standardized procedures. The procedure encompasses two modules, self-report and clinical validation. The current study aimed to confirm the validity of the Klenico assessment in a large clinical sample.
Fully anonymized data from 495 adult inpatients were used. ICD-10 diagnoses were made during an initial interview by the clinical staff. Afterwards, patients filled out self-report questionnaires (BDI-II, BSI, EDE-Q, OCI-R, PHQ-D, and Y-BOCS) and completed the Klenico self-report module, which involves selecting and rating the severity of applicable symptoms. Finally, in the clinical validation module, mental health professionals validated the symptoms endorsed in the self-report module. Six Klenico domains were tested against patient self-reports and routine ICD-10 diagnoses by following the multitrait-multimethod approach. Internal consistency was assessed by calculating Cronbach's alpha.
The Klenico depressive disorders, OCD, and somatoform disorders domains revealed high correlations with the congruent questionnaires (i.e., those pertaining to these specific disorders) and revealed low correlations with the noncongruent questionnaires (i.e., those pertaining to other disorders), therefore evidencing construct validity. For the eating disorders and psychotic disorders domains, divergent validity was demonstrated. For the anxiety disorders domain, although analysis mostly indicated construct validity, this should be further confirmed.
Overall, the results largely confirmed the construct validity of the Klenico assessment, demonstrating its use as an easy-to-use, valid, standardized, and comprehensive instrument for diagnosing mental disorders.
由于使用的评估方法未标准化，精神障碍在常规诊断程序中常常被漏诊；这可能导致人们要么得不到必要的治疗，要么接受的治疗对其病情无效。Klenico是一个在线诊断软件系统，通过使用标准化程序，促进对成人精神障碍的诊断。该程序包括两个模块，即自我报告和临床验证。本研究旨在在一个大型临床样本中确认Klenico评估的有效性。
使用了来自495名成年住院患者的完全匿名数据。临床工作人员在初次访谈期间做出ICD-10诊断。之后，患者填写自我报告问卷（BDI-II、BSI、EDE-Q、OCI-R、PHQ-D和Y-BOCS）并完成Klenico自我报告模块，该模块涉及选择并评定适用症状的严重程度。最后，在临床验证模块中，心理健康专业人员对自我报告模块中认可的症状进行验证。通过遵循多特质多方法途径，针对患者自我报告和常规ICD-10诊断对Klenico的六个领域进行了测试。通过计算克朗巴哈系数来评估内部一致性。
Klenico的抑郁症、强迫症和躯体形式障碍领域与一致的问卷（即与这些特定障碍相关的问卷）显示出高度相关性，与不一致的问卷（即与其他障碍相关的问卷）显示出低相关性，因此证明了结构效度。对于进食障碍和精神障碍领域，证明了区分效度。对于焦虑症领域，尽管分析大多表明具有结构效度，但仍需进一步确认。
总体而言，结果在很大程度上证实了Klenico评估的结构效度，表明其可作为一种易于使用、有效、标准化且全面的精神障碍诊断工具。
