Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Wu, Y; Levis, B; Daray, FM; Ioannidis, JPA; Patten, SB; Cuijpers, P; Ziegelstein, RC; Gilbody, S; Fischer, FH; Fan, SQ; Sun, Y; He, C; Krishnan, A; Neupane, D; Bhandari, PM; Negeri, Z; Riehm, KE; Rice, DB; Azar, M; Yan, XW; Imran, M; Chiovitti, MJ; Boruff, JT; McMillan, D; Kloda, LA; Markham, S; Henry, M; Ismail, Z; Loiselle, CG; Mitchell, ND; Al-Adawi, S; Beck, KR; Beraldi, A; Bernstein, CN; Boye, B; Buel-Drabe, N; Bunevicius, A; Can, C; Carter, G; Chen, CK; Cheung, G; Clover, K; Conroy, RM; Costa-Requena, G; Cukor, D; Dabscheck, E; De Souza, J; Downing, M; Feinstein, A; Ferentinos, PP; Flint, AJ; Gallagher, P; Gandy, M; Grassi, L; Harter, M; Hernando, A; Jackson, ML; Jenewein, J; Jette, N; Juliao, M; Kjaergaard, M; Kohler, S; Konig, HH; Krishna, LKR; Lee, Y; Lobner, M; Loosman, WL; Love, AW; Lowe, B; Malt, UF; Marrie, RA; Massardo, L; Matsuoka, Y; Mehnert, A; Michopoulos, I; Misery, L; Nelson, CJ; Ng, CG; O'Donnell, ML; O'Rourke, SJ; Ozturk, A; Pabst, A; Pasco, JA; Peceliuniene, J; Pintor, L; Ponsford, JL; Pulido, F; Quinn, TJ; Reme, SE; Reuter, K; Riedel-Heller, SG; Rooney, AG; Sanchez-Gonzalez, R; Saracino, RM; Schellekens, MPJ; Scherer, M; Schwarzbold, ML; Cankorur, VS; Sharpe, L; Sharpe, M; Simard, S; Singer, S; Stafford, L; Stone, J; Strobe, NA; Sultan, S; Teixeira, AL; Tiringer, I; Turner, A; Walker, J; Walterfang, M; Wang, LJ; Weyerer, SB; White, J; Wiese, B; Williams, LJ; Wong, LY; Benedetti, A; Thombsi, BD.
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
PSYCHOL ASSESSMENT. 2023; 35(2): 95-114. Doi: 10.1037/pas0001181
Web of Science PubMed FullText FullText_MUG

 

Co-Autor*innen der Med Uni Graz
Jenewein Josef
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

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. Public Significance Statement The present study suggests that the accuracy of 14-item Hospital Anxiety and Depression Scale (HADS-D) and the seven-item HADS Depression subscale (HADS-D) are equivalent for detecting major depression. Using the seven-item HADS-D for depression screening instead of the full 14-item HADS-T has minimal influence on performance of the measure but would reduce patient and participant burden in most clinical and research settings.

Find related publications in this database (Keywords)
HADS-D
HADS-T
individual participant data meta-analysis
depression screening
diagnostic accuracy
© Med Uni Graz • Impressum