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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

  • Yin Wu
  • , Brooke Levis
  • , Federico M. Daray
  • , John P.A. Ioannidis
  • , Scott B. Patten
  • , Pim Cuijpers
  • , Roy C. Ziegelstein
  • , Simon Gilbody
  • , Felix H. Fischer
  • , Suiqiong Fan
  • , Ying Sun
  • , Chen He
  • , Ankur Krishnan
  • , Dipika Neupane
  • , Parash Mani Bhandari
  • , Zelalem Negeri
  • , Kira E. Riehm
  • , Danielle B. Rice
  • , Marleine Azar
  • , Xin Wei Yan
  • Mahrukh Imran, Matthew J. Chiovitti, Jill T. Boruff, Dean McMillan, Lorie A. Kloda, Sarah Markham, Melissa Henry, Zahinoor Ismail, Carmen G. Loiselle, Nicholas D. Mitchell, Samir Al-Adawi, Kevin R. Beck, Anna Beraldi, Charles N. Bernstein, Birgitte Boye, Natalie Büel-Drabe, Adomas Bunevicius, Ceyhun Can, Gregory Carter, Chih Ken Chen, Gary Cheung, Kerrie Clover, Ronán M. Conroy, Gema Costa-Requena, Daniel Cukor, Eli Dabscheck, Jennifer De Souza, Marina Downing, Anthony Feinstein, Panagiotis P. Ferentinos, Alastair J. Flint, Pamela Gallagher, Milena Gandy, Luigi Grassi, Martin Härter, Asuncion Hernando, Melinda L. Jackson, Josef Jenewein, Nathalie Jetté, Miguel Julião, Marie Kjærgaard, Sebastian Köhler, Hans Helmut König, Lalit K.R. Krishna, Yu Lee, Margrit Löbner, Wim L. Loosman, Anthony W. Love, Bernd Löwe, Ulrik F. Malt, Ruth Ann Marrie, Loreto Massardo, Yutaka Matsuoka, Anja Mehnert, Ioannis Michopoulos, Laurent Misery, Christian J. Nelson, Chong Guan Ng, Meaghan L. O’Donnell, Suzanne J. O’Rourke, Ahmet Öztürk, Alexander Pabst, Julie A. Pasco, Jurate Peceliuniene, Luis Pintor, Jennie L. Ponsford, Federico Pulido, Terence J. Quinn, Silje E. Reme, Katrin Reuter, Steffi G. Riedel-Heller, Alasdair G. Rooney, Roberto Sánchez-González, Rebecca M. Saracino, Melanie P.J. Schellekens, Martin Scherer, Marcelo L. Schwarzbold, Vesile Senturk Cankorur, Louise Sharpe, Michael Sharpe, Sébastien Simard, Susanne Singer, Lesley Stafford, Jon Stone, Natalie A. Strobel, Serge Sultan, Antonio L. Teixeira, Istvan Tiringer, Alyna Turner, Jane Walker, Mark Walterfang, Liang Jen Wang, Siegfried B. Weyerer, Jennifer White, Birgitt Wiese, Lana J. Williams, Lai Yi Wong, Andrea Benedetti*, Brett D. Thombs*
*Corresponding author for this work
  • McGill University
  • Keele University
  • Universidad de Buenos Aires
  • Stanford University
  • University of Calgary
  • Amsterdam UMC
  • Johns Hopkins University
  • University of York
  • Charité – Universitätsmedizin Berlin
  • Concordia University
  • King's College London
  • University of Alberta
  • Sultan Qaboos University
  • Singapore General Hospital
  • kbo Lech-Mangfall-Klinik für Psychatrie
  • University of Manitoba
  • University of Oslo
  • University of Zurich
  • Lithuanian University of Health Sciences
  • Adana City Training and Research Hospital
  • University of Newcastle
  • The University of Auckland
  • Royal College of Surgeons in Ireland
  • Hospital Universitari Vall d'Hebron
  • Cornell University
  • Alfred Health
  • Birmingham and Solihull Mental Health NHS Foundation Trust
  • Monash University
  • University of Toronto
  • National and Kapodistrian University of Athens
  • University Health Network
  • Dublin City University
  • Macquarie University
  • University of Ferrara
  • University of Hamburg
  • Hospital Universitario 12 de Octubre
  • Medical University of Graz
  • Icahn School of Medicine at Mount Sinai
  • Equipa Comunitária de Suporte em Cuidados Paliativos de Sintra
  • University Hospital of North Norway
  • Maastricht University
  • National Cancer Centre
  • Leipzig University
  • Onze Lieve Vrouwe Gasthuis
  • Victoria University
  • Universidad San Sebastián
  • National Cancer Center Japan
  • CHU de Brest
  • Memorial Sloan-Kettering Cancer Center
  • University of Malaya
  • Phoenix Australia
  • University of Edinburgh
  • Istanbul Sabahattin Zaim University
  • Deakin University
  • Vilnius University
  • August Pi i Sunyer Biomedical Research Institute
  • University of Glasgow
  • Group Practice for Psychotherapy and Psycho-oncology
  • Centre Emili Mira
  • Helen Dowling Institute, Centre for psycho-oncology
  • Universidade Federal de Santa Catarina
  • Ankara University
  • The University of Sydney
  • University of Oxford
  • Université du Québec à Chicoutimi
  • Johannes Gutenberg University Mainz
  • University of Melbourne
  • Edith Cowan University
  • University of Montreal
  • University of Texas Health Science Center at Houston
  • University of Pecs
  • Royal Melbourne Hospital
  • Heidelberg University 
  • Hannover Medical School
  • Kwai Chung Hospital

Research output: Contribution to journalJournal Article peer-review

13 Scopus citations

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.

Original languageEnglish
Pages (from-to)94-114
Number of pages21
JournalPsychological Assessment
Volume35
Issue number2
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 American Psychological Association

Keywords

  • HADS-D
  • HADS-T
  • depression screening
  • diagnostic accuracy
  • individual participant data meta-analysis

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