精神病学访谈问题与评定量表的统计比较

IF 1.3 Q3 PSYCHIATRY
Ömer Uysal, Reyhan İlhan, Muhammed Taha Esmeray, Mehmet Kemal Arıkan
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引用次数: 1

摘要

背景:精神病学评估包括定性问题和定量评估,有时质疑同一问题。本研究试图探讨几个封闭式问题的统计等效性的程序精神病学检查和评定量表解决类似的问题。方法:目前的回顾性分析包括314例首次到私人精神病学诊所就诊的患者。受试者接受常规精神病学检查,包括封闭式问题和相关临床量表。问题包括睡眠和性问题、婚姻问题、父母关系问题和童年虐待。相关精神病学量表分别为Jenkins睡眠量表、Arizona性经验量表、二元调整量表和童年创伤问卷。首先,对每个是/否问题和临床量表进行受试者工作曲线分析。然后计算曲线下面积、灵敏度和特异度值。采用多项逻辑回归分析观察配对预测变量。结果:在临床问卷中,受试者工作曲线模型提供了较好的曲线下面积值作为二元调整量表的预测标准(0.78;P < 0.001),儿童创伤问卷(0.74;P < 0.001),儿童创伤问卷-身体虐待(0.826;P < 0.001),儿童创伤问卷-性虐待(0.828;P < 0.001),亚利桑那性经验量表(0.796;P < 0.001), Jenkins睡眠量表(0.920;P < 0.001)。多项logistic回归模型也显示二元调整量表-儿童创伤问卷(61%)、儿童创伤问卷-身体虐待-儿童创伤问卷-性虐待(87.6%)和亚利桑那性经验量表-詹金斯睡眠量表(67%)的分类正确率较高。结论:在对症状进行一般性调查时,本研究表明,在临床和研究领域,有经验的临床医生可以像依赖定量量表一样依赖临床问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical Comparison Between Interview Questions and Rating Scales in Psychiatry.

Background: Psychiatric evaluations consist of both qualitative questions and quantitative assessments, sometimes questioning the same issue. The present study attempts to investigate the statistical equivalency of several close-ended questions of a procedural psychiatric examination and rating scales addressing a similar problem.

Methods: The current retrospective analysis included 314 patients who made their first visit to a private psychiatry clinic. Subjects underwent a routine psychiatric examination, including close-ended questions and related clinical scales. Questions included sleep and sexual problems, problems in marriage, parent relationship problems, and childhood abuse. The related psychiatric scales were Jenkins Sleep Scale, Arizona Sexual Experience Scale, Dyadic Adjustment Scale, and Childhood Trauma Questionnaire, respectively. First, receiver operating curve analysis was conducted for each yes/no question and clinical scale. Then, area under curve sensitivity and specificity values were calculated. Multinomial logistic regression analysis was also performed to observe paired predictor variables.

Results: Among clinical questionnaires, the receiver operating curve model provided good area under curve values as prediction criteria for Dyadic Adjustment Scale (0.78; P < .001), Childhood Trauma Questionnaire (0.74; P < .001), Childhood Trauma Questionnaire-physical abuse (0.826; P < .001), Childhood Trauma Questionnaire-sexual abuse (0.828; P < .001), Arizona Sexual Experience Scale (0.796; P < .001), and Jenkins Sleep Scale (0.920; P < .001). Multinomial logistic regression models also revealed good correct classification values for Dyadic Adjustment Scale-Childhood Trauma Questionnaire (61%), Childhood Trauma Questionnaire-Physical abuse-Childhood Trauma Questionnaire-Sexual abuse (87.6%), and Arizona Sexual Experience Scale-Jenkins Sleep Scale (67%).

Conclusion: When the symptoms are investigated in general terms, the present study reveals that an experienced clinician could rely on clinical questions as much as the quantitative scales in both clinical and research domains.

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