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RESEARCH PRODUCT

Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis.

Marie KjærgaardBernd LöweJennifer De SouzaJennifer De SouzaMark WalterfangMark WalterfangMark WalterfangMarcelo Liborio SchwarzboldScott B. PattenIoannis MichopoulosKira E. RiehmKira E. RiehmEliana BrehautJohn P. A. IoannidisSuzanne O'rourkePamela GallagherYin WuMahrukh ImranNicholas D. MitchellNicholas D. MitchellLorie A. KlodaCarlos Eduardo Da Rocha E SilvaChen HeYing SunPim CuijpersJennifer WhiteMarina DowningMarcello TonelliZahinoor IsmailDanielle B. RiceGregory CarterMarleine AzarParash Mani BhandariMaiko FujimoriMichael SharpeDipika NeupaneNazanin SaadatAlyna TurnerKerrie CloverRoberto Sánchez-gonzálezAlasdair G RooneyAlasdair G RooneyMiguel JuliãoAnna BeraldiAhmet OzturkAndrea BenedettiCarmen G. LoiselleAlastair J. FlintAnthony W. LoveJennie PonsfordDaniel CukorBrooke LevisBrooke LevisJane WalkerZelalem NegeriSarah MarkhamAnna P. B. M. BraekenAnna P. B. M. BraekenRoy C. ZiegelsteinSimone GoebelJill BoruffMatthew J. ChiovittiRonan M. ConroyKa Yee TungJon StoneXin Wei YanLuis PintorAnthony FeinsteinSébastien SimardSébastien SimardFelix FischerRicard NavinésPanagiotis FerentinosPanagiotis FerentinosRocío Martín-santosBrett D. ThombsSusanne SingerMonika KellerAnkur KrishnanMelissa HenryNathalie JetteNathalie Jette

subject

AdultMalemedicine.medical_specialtyMEDLINEDiagnostic interviewScale Individual participant dataHospital Anxiety and Depression Scale03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingHospital Anxiety and DepressionInternal medicinePrevalenceMedicineHumansScreening tool030212 general & internal medicineDepression (differential diagnoses)Screening toolsAgedDepressive Disorder Majorbusiness.industryDepressionIndividual participant dataIndividual participant dataMiddle AgedConfidence interval3. Good healthPsychiatry and Mental healthClinical PsychologyHospital Anxiety and Depression ScaleMeta-analysisMeta-analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalebusiness030217 neurology & neurosurgery

description

Objectives Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale – depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence. Methods We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major depression status. Pooled prevalence and pooled differences in prevalence for HADS-D cutoffs versus SCID major depression were estimated. Results 6005 participants (689 SCID major depression cases) from 41 primary studies were included. Pooled prevalence was 24.5% (95% Confidence Interval (CI): 20.5%, 29.0%) for HADS-D ≥8, 10.7% (95% CI: 8.3%, 13.8%) for HADS-D ≥11, and 11.6% (95% CI: 9.2%, 14.6%) for SCID major depression. HADS-D ≥11 was closest to SCID major depression prevalence, but the 95% prediction interval for the difference that could be expected for HADS-D ≥11 versus SCID in a new study was −21.1% to 19.5%. Conclusions HADS-D ≥8 substantially overestimates depression prevalence. Of all possible cutoff thresholds, HADS-D ≥11 was closest to the SCID, but there was substantial heterogeneity in the difference between HADS-D ≥11 and SCID-based estimates. HADS-D should not be used as a substitute for a validated diagnostic interview.

yearjournalcountryeditionlanguage
2020-12-01Journal of psychosomatic research
10.1016/j.jpsychores.2020.110256https://pubmed.ncbi.nlm.nih.gov/33069051