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. Journal Articles uri icon

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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).

authors

  • Wu, Yin
  • Levis, Brooke
  • Daray, Federico M
  • Ioannidis, John PA
  • 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
  • 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
  • Flint, Alastair J
  • Gallagher, Pamela
  • Gandy, Milena
  • Grassi, Luigi
  • Härter, Martin
  • Hernando, Asuncion
  • Jackson, Melinda L
  • Jenewein, Josef
  • Jetté, Nathalie
  • Julião, Miguel
  • Kjærgaard, Marie
  • Köhler, Sebastian
  • König, Hans-Helmut
  • Krishna, Lalit KR
  • Lee, Yu
  • Löbner, Margrit
  • Loosman, Wim L
  • Love, Anthony W
  • Löwe, Bernd
  • Malt, Ulrik F
  • Marrie, Ruth Ann
  • Massardo, Loreto
  • Matsuoka, Yutaka
  • Mehnert, Anja
  • Michopoulos, Ioannis
  • Misery, Laurent
  • Nelson, Christian J
  • Ng, Chong Guan
  • O'Donnell, Meaghan L
  • O'Rourke, Suzanne J
  • Öztürk, Ahmet
  • Pabst, Alexander
  • Pasco, Julie A
  • Peceliuniene, Jurate
  • Pintor, Luis
  • Ponsford, Jennie L
  • Pulido, Federico
  • Quinn, Terence J
  • Reme, Silje E
  • Reuter, Katrin
  • Riedel-Heller, Steffi G
  • Rooney, Alasdair G
  • Sánchez-González, Roberto
  • Saracino, Rebecca M
  • Schellekens, Melanie PJ
  • Scherer, Martin
  • Benedetti, Andrea
  • Thombs, Brett D
  • et al.

publication date

  • February 2023