0000000000930836

AUTHOR

Ronan M. Conroy

showing 2 related works from this author

Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and…

2020

Objective Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and…

MaleDepressive disordersSCHEDULESACCURACYSocio-culturaleHospital Anxiety and Depression ScaleOdds03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingIndividual participant data meta-analysisMedicineHumansMajor depression030212 general & internal medicineVALIDITYDepression (differential diagnoses)Mini-international neuropsychiatric interviewProbabilityPsychiatric Status Rating ScalesDepressive Disorder MajorDepressive disorders Diagnostic interviews Hospital Anxiety and Depression Scale Individual participant data meta-analysis Major depressionbusiness.industryIndividual participant dataOdds ratioCIDIAn individual participant data meta-analysis of 73 primary studies.- Journal of psychosomatic research cilt.129 ss.109892 2020 [Wu Y. Levis B. Sun Y. Krishnan A. He C. Riehm K. Rice D. Azar M. Yan X. Neupane D. et al. -Probability of major depression diagnostic classification based on the SCID CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores]3. Good healthPsychiatry and Mental healthClinical PsychologyHospital Anxiety and Depression ScaleMeta-analysisDiagnostic interviews/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalebusiness030217 neurology & neurosurgeryClinical psychology
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Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis.

2020

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…

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 & neurosurgeryJournal of psychosomatic research
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