Sedano-Capdevila Alba, Barrigón María Luisa, Delgado-Gomez David, Barahona Igor, Aroca Fuensanta, Peñuelas-Calvo Inmaculada, Miguelez-Fernandez Carolina, Rodríguez-Jover Alba, Amodeo-Escribano Susana, González-Granado Marta, Baca-García Enrique
Department of Psychiatry, IIS-Jiménez Díaz Foundation, Madrid, Spain.
Department of Psychiatry, Autónoma University, Madrid, Spain.
Comput Math Methods Med. 2018 Mar 25;2018:7353624. doi: 10.1155/2018/7353624. eCollection 2018.
WHODAS 2.0 is the standard measure of disability promoted by World Health Organization whereas Clinical Global Impression (CGI) is a widely used scale for determining severity of mental illness. Although a close relationship between these two scales would be expected, there are no relevant studies on the topic. In this study, we explore if WHODAS 2.0 can be used for identifying severity of illness measured by CGI using the Fisher Linear Discriminant Analysis (FLDA) and for identifying which individual items of WHODAS 2.0 best predict CGI scores given by clinicians. One hundred and twenty-two patients were assessed with WHODAS 2.0 and CGI during three months in outpatient mental health facilities of four hospitals of Madrid, Spain. Compared with the traditional correction of WHODAS 2.0, FLDA improves accuracy in near 15%, and so, with FLDA WHODAS 2.0 classifying correctly 59.0% of the patients. Furthermore, FLDA identifies item 6.6 (illness effect on personal finances) and item 4.5 (damaged sexual life) as the most important items for clinicians to score the severity of illness.
世界卫生组织残疾评定量表2.0(WHODAS 2.0)是世界卫生组织倡导的残疾标准测量工具,而临床总体印象量表(CGI)是一种广泛用于确定精神疾病严重程度的量表。尽管预计这两个量表之间存在密切关系,但尚无关于该主题的相关研究。在本研究中,我们探讨了WHODAS 2.0是否可用于通过Fisher线性判别分析(FLDA)识别由CGI测量的疾病严重程度,以及确定WHODAS 2.0的哪些个体项目最能预测临床医生给出的CGI评分。在西班牙马德里四家医院的门诊心理健康机构中,对122名患者在三个月内进行了WHODAS 2.0和CGI评估。与WHODAS 2.0的传统校正方法相比,FLDA将准确率提高了近15%,因此,使用FLDA时,WHODAS 2.0能正确分类59.0%的患者。此外,FLDA将项目6.6(疾病对个人财务的影响)和项目4.5(性生活受损)确定为临床医生对疾病严重程度评分最重要的项目。