Malhotra Savita, Chakrabarti Subho, Shah Ruchita, Mehta Anurati, Gupta Aarzoo, Sharma Minali
Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Indian J Psychol Med. 2015 Jul-Sep;37(3):288-98. doi: 10.4103/0253-7176.162921.
A diagnostic tool designed as part of a telepsychiatry application for diagnosis and management of child and adolescent psychiatric disorders in India was developed considering the paucity of trained child psychiatrists and mental health professionals in India.
The diagnostic tool consisted of screening and 10(th) revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) criteria-based diagnostic algorithms for 18 psychiatric disorders seen in childhood and adolescence. Accuracy of diagnoses and feasibility of use of the tool was examined by comparing it with detailed semi-structured clinical evaluations by a qualified psychiatrist with 50 psychiatric patients (children and adolescents).
Descriptive analyses and paired t-tests were conducted to compare the mean number of diagnosis generated by the two interviews. Sensitivity, specificity, positive and negative predictive values were computed for the screening and the diagnostic sub-modules of the tool, compared to the clinical diagnoses. Kappa coefficients were computed to assess agreement between the diagnoses generated by the diagnostic sub-module and the clinical diagnoses.
The screening sub-module had high sensitivity, high specificity and negative predictive values for all disorders. For the diagnostic sub-module, there was moderate (kappa-0.4-0.6) to substantial agreement (kappa > 0.6) for all the disorders, (except psychosis) and high sensitivity (barring a few disorders) and specificity for almost all the disorders. Positive predictive values were found to be acceptable to high for most disorders, with consistently high negative predictive values.
The new tool was found to be comprehensive, reasonably short and feasible. Results showed acceptable level of accuracy in diagnosis generated by the tool.
鉴于印度训练有素的儿童精神科医生和心理健康专业人员匮乏,开发了一种作为远程精神病学应用程序一部分的诊断工具,用于印度儿童和青少年精神疾病的诊断和管理。
该诊断工具包括筛查以及基于《国际疾病和相关健康问题统计分类》(ICD - 10)第10版标准的诊断算法,用于诊断儿童和青少年中出现的18种精神疾病。通过将该工具与一位合格精神科医生对50名精神疾病患者(儿童和青少年)进行的详细半结构化临床评估进行比较,检验该工具诊断的准确性和使用的可行性。
进行描述性分析和配对t检验,以比较两次访谈得出的平均诊断数量。计算该工具筛查和诊断子模块相对于临床诊断的敏感性、特异性、阳性和阴性预测值。计算kappa系数以评估诊断子模块得出的诊断与临床诊断之间的一致性。
筛查子模块对所有疾病具有高敏感性、高特异性和阴性预测值。对于诊断子模块而言,除精神病外,所有疾病均有中度(kappa - 0.4 - 0.6)至高度一致性(kappa > 0.6),并且对几乎所有疾病具有高敏感性(除少数疾病外)和特异性。发现大多数疾病的阳性预测值为可接受至高度,阴性预测值始终很高。
发现新工具全面、篇幅合理且可行。结果表明该工具得出的诊断准确性达到可接受水平。