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Comparison of the accuracy of the 7-item HADS Depression subscale and 14-item total HADS for screening for major depression: A systematic review and individual participant data meta-analysis.
Wu, Yin; Levis, Brooke; Daray, Federico M; Ioannidis, John P A; Patten, Scott B; Cuijpers, Pim; Ziegelstein, Roy C; Gilbody, Simon; Fischer, Felix H; Fan, Suiqiong; Sun, Ying; He, Chen; Krishnan, Ankur; Neupane, Dipika; Bhandari, Parash Mani; Negeri, Zelalem; Riehm, Kira E; Rice, Danielle B; Azar, Marleine; Yan, Xin Wei; Imran, Mahrukh; Chiovitti, Matthew J; Boruff, Jill T; McMillan, Dean; Kloda, Lorie A; Markham, Sarah; Henry, Melissa; Ismail, Zahinoor; Loiselle, Carmen G; Mitchell, Nicholas D; Al-Adawi, Samir; Beck, Kevin R; Beraldi, Anna; Bernstein, Charles N; Boye, Birgitte; Büel-Drabe, Natalie; Bunevicius, Adomas; Can, Ceyhun; Carter, Gregory; Chen, Chih-Ken; Cheung, Gary; Clover, Kerrie; Conroy, Ronán M; Costa-Requena, Gema; Cukor, Daniel; Dabscheck, Eli; De Souza, Jennifer; Downing, Marina; Feinstein, Anthony; Ferentinos, Panagiotis P.
Afiliación
  • Wu Y; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Levis B; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Daray FM; Institute of Pharmacology, School of Medicine, University of Buenos Aires.
  • Ioannidis JPA; Department of Medicine, Stanford University.
  • Patten SB; Department of Community Health Sciences, University of Calgary.
  • Cuijpers P; Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit.
  • Ziegelstein RC; Department of Medicine, Johns Hopkins University School of Medicine.
  • Gilbody S; Department of Health Sciences, Hull York Medical School, University of York.
  • Fischer FH; Department of Psychosomatic Medicine, Charité-Universitätsmedizin Berlin.
  • Fan S; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Sun Y; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • He C; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Krishnan A; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Neupane D; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Bhandari PM; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Negeri Z; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Riehm KE; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Rice DB; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Azar M; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Yan XW; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Imran M; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Chiovitti MJ; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Boruff JT; Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University.
  • McMillan D; Department of Health Sciences, Hull York Medical School, University of York.
  • Kloda LA; Library, Concordia University.
  • Markham S; Department of Biostatistics and Health Informatics, King's College London.
  • Henry M; Lady Davis Institute for Medical Research, Jewish General Hospital.
  • Ismail Z; Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary.
  • Loiselle CG; Ingram School of Nursing, McGill University.
  • Mitchell ND; Department of Psychiatry, University of Alberta.
  • Al-Adawi S; Department of Behavioural Medicine, College of Medicine & Health Sciences, Sultan Qaboos University.
  • Beck KR; Department of Psychiatry, Singapore General Hospital, Singapore.
  • Beraldi A; kbo Lech-Mangfall-Klinik für Psychatrie, Psychotherapie und Psychsomatik, Garmisch-Partenkirchen.
  • Bernstein CN; Department of Medicine, University of Manitoba.
  • Boye B; Department of Behavioural Medicine, University of Oslo.
  • Büel-Drabe N; Department of Psychiatry and Psychotherapy, University Hospital Zürich.
  • Bunevicius A; Neuroscience Institute, Lithuanian University of Health Sciences.
  • Can C; Adana City Training and Research Hospital.
  • Carter G; School of Medicine and Public Health, University of Newcastle.
  • Chen CK; Community Medicine Research Center, Keelung Chang Gung Memorial Hospital, Chang Gung University College of Medicine.
  • Cheung G; Department of Psychological Medicine, University of Auckland.
  • Clover K; Centre for Brain and Mental Health Research, University of Newcastle.
  • Conroy RM; Division of Population Health Sciences, Royal College of Surgeons in Ireland.
  • Costa-Requena G; Department of Psychiatry, Clinical Psychology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Centro de Investigacióo Biomédica en Red de Salud Mental.
  • Cukor D; Rogosin Institute.
  • Dabscheck E; The Alfred Hospital.
  • De Souza J; Birmingham and Solihull Mental Health Foundation Trust.
  • Downing M; School of Psychological Sciences, Monash University.
  • Feinstein A; Department of Psychiatry, University of Toronto.
  • Ferentinos PP; 2nd Department of Psychiatry, Attikon General Hospital, National and Kapodistrian University of Athens.
Psychol Assess ; 35(2): 95-114, 2023 Feb.
Article en En | MEDLINE | ID: mdl-36689386
ABSTRACT
The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data meta-analysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from -0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02-0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADS-D for detecting major depression. In most settings, the shorter HADS-D would be preferred. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Psychol Assess Asunto de la revista: PSICOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Psychol Assess Asunto de la revista: PSICOLOGIA Año: 2023 Tipo del documento: Article