Investigation of the Psychometric Properties of the Hospital Anxiety and Depression Scale (HADS) Recommended for General Medical Practitioners, on a Sample of Patients with Impaired Motor Functions

Author:

Kukshina A.A.1ORCID,Kotelnikova A.V.1ORCID,Rassulova M.A.1ORCID,Dajlidovich V.S.1ORCID

Affiliation:

1. Moscow Centre for Research and Practice in Medical Rehabilitation, Restorative and Sports Medicine of Moscow Healthcare Department

Abstract

<p style="text-align: justify;">The aim of the study is to investigate the psychometric characteristics of the Hospital Anxiety and Depression Scale (HADS) on a sample of patients with impaired motor functions. HADS was used to examine the current psychoemotional state of 73 women and 27 men aged 62.1&plusmn;13.7 years who were in the hospital for inpatient rehabilitation for motor function disorders arising from a stroke (n=50) or developing against the background of chronic musculoskeletal disorders (n=50). Independent of the psychologist, a psychiatrist examined the same patients, filling out Hamilton Anxiety and Depression scales. A comparison of the findings led to the conclusion of overdiagnosis with the HADS subscales. At the same time, it is shown that the questionnaire items have satisfactory indices of discriminativeness and internal reliability. The combination of low content and convergent validity of some items of the questionnaire allowed modifying subscales, reducing the number of items without prejudice to psychometric characteristics. By comparing the data obtained with an objective external criterion for the Anxiety (HADS-A) and Depression (HADS-D) subscales, new cutoffs (9 points) were determined for diagnosing the presence or absence of anxiety and depression, which allows to use this version of the test more effectively for screening the current psychoemotional state in patients with impaired motor functions who enter the second stage of medical rehabilitation.</p>

Publisher

Moscow State University of Psychology and Education

Subject

General Medicine

Reference30 articles.

1. Anryushchenko A.V., Drobizhev M.Yu., Dobrovol'skii A.V. Sravnitel'naya otsenka shkal CES-D, BDI i HADS(D) v diagnostike depressii v obshchemeditsinskoi praktike [A comparative validation of the scale CES-D, BDI, and HADS(d) in diagnosis of depressive disorders in general practice]. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova = S. Korsakov Journal of Neurology and Psychiatry, 2003, no. 5, pp. 11–17 (In Russ., abstr. in Engl.).

2. Zinchuk M.S., Kustov G.V., Pashnin E.V. et al. Skrining trevozhnykh i depressivnykh rasstroistv pri epilepsii: sovremennoe sostoyanie problem [Screening for anxiety and depressive disorders in epilepsy: current state of the art]. Rossiiskii psikhiatricheskii zhurnal = Russian Journal of Psychiatry, 2021, no. 3, pp. 87–97. DOI: 10.47877/1560-957Ð¥-2021-10309 (In Russ., abstr. in Engl.).

3. Ayerbe L., Ayis S., Wolfe C.D. et al. Natural history, predictors and outcomes of depression after stroke: systematic review and meta-analysis. British Journal of Psychiatry: The Journal of Mental Science, Vol. 202, no. 1, pp. 14–21. DOI: 10.1192/bjp.bp.111.107664

4. Bjelland I., Dahl A.A., Haug T.T. et al. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. Journal of Psychosomatic Research, Vol. 52 (2), pp. 69–77. DOI: 10.1016/s0022-3999(01)00296-3

5. Brehaut E., Neupane D., Levis B. et al. Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis. Journal of Psychosomatic Research, Vol. 139, pp. 110256. DOI: 10.1016/j.jpsychores.2020.110256

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3