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怀特利指数、疾病态度量表和躯体感觉放大量表的诊断及预后意义。

The diagnostic and prognostic significance of the Whitely Index, the Illness Attitude Scales and the Somatosensory Amplification Scale.

作者信息

Speckens A E, Van Hemert A M, Spinhoven P, Bolk J H

机构信息

Department of Psychiatry, University Hospital Leiden, The Netherlands.

出版信息

Psychol Med. 1996 Sep;26(5):1085-90. doi: 10.1017/s0033291700035418.

Abstract

The aim of this study was to assess the ability of the Whitely Index, Illness Attitude Scales and Somatosensory Amplification Scale to differentiate in patients with medically unexplained physical symptoms between hypochondriacal and non-hypochondriacal patients and to examine whether the scores on these questionnaires are predictive of long-term outcome in terms of recovery of presenting symptoms and number of visits to the general practitioner. The study population consisted of 183 consecutive patients, who presented with medically unexplained physical symptoms to a general medical out-patient clinic. The Health Anxiety subscale of the Illness Attitude Scales and the Whitely Index were best in discriminating between hypochondriacal and non-hypochondriacal patients. The sensitivity and specificity of the Health Anxiety subscale of the Illness Attitude Scales were 79% and 84%, and of the Whitely Index 87% and 72%. The Whitely Index was negatively associated with recovery rate at 1 year follow-up. The Illness Behaviour subscale of the Illness Attitude Scales appeared to be predictive of the number of visits to the general practitioner. These findings might have clinical implications in helping to distinguish in patients with medically unexplained symptoms those for whom there is a high chance of persistence of the symptoms and/or of high medical care utilization.

摘要

本研究的目的是评估怀特利指数、疾病态度量表和体感放大量表区分医学上无法解释的身体症状患者中疑病症患者和非疑病症患者的能力,并检验这些问卷的得分是否能预测当前症状恢复情况以及全科医生就诊次数方面的长期结果。研究人群包括183例连续就诊于普通内科门诊且有医学上无法解释的身体症状的患者。疾病态度量表的健康焦虑分量表和怀特利指数在区分疑病症患者和非疑病症患者方面表现最佳。疾病态度量表的健康焦虑分量表的敏感性和特异性分别为79%和84%,怀特利指数的敏感性和特异性分别为87%和72%。怀特利指数与1年随访时的恢复率呈负相关。疾病态度量表的疾病行为分量表似乎可以预测全科医生就诊次数。这些发现可能在临床上有助于区分医学上无法解释症状的患者中哪些有症状持续和/或高医疗利用率的高可能性。

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