Psychometric properties of the Quick Inventory of Depressive Symptomatology (QIDS-SR) in UK primary care

Cameron, Isobel M.; Crawford, John R.; Cardy, Amanda H.; du Toit, Schalk W.; Lawton, Kenneth; Hay, Steven; Mitchell, Kenneth; Sharma, Sumit; Shivaprasad, Shilpa; Winning, Sally; Reid, Ian C.

doi:10.1016/j.jpsychires.2013.01.019

Cited by 42Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPsychometric Methodologies and TestingTreatment of Major Depression

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Psychometric properties of the Quick Inventory of Depressive Symptomatology (QIDS-SR) in UK primary care

Cameron, Isobel M., Crawford, John R., Cardy, Amanda H., du Toit, Schalk W., Lawton, Kenneth, Hay, Steven, Mitchell, Kenneth, Sharma, Sumit, Shivaprasad, Shilpa, Winning, Sally, Reid, Ian C.·2013·Journal of Psychiatric Research

DOI 10.1016/j.jpsychires.2013.01.019

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Abstract

It is widely believed that severity of depressive disorder should guide treatment selection and many guidelines emphasise this factor. The Quick Inventory of Depressive Symptomatology (QID-SR16) is a self-complete measure of depression severity which includes all DSM-IV criterion symptoms for major depressive disorder. The object of this study was to assess the psychometric properties of the QIDS-SR16 in a primary care sample. Adult primary care patients completed the QIDS-SR16 and were assessed by a psychiatrist (blind to QIDS-SR16) with the 17-item Hamilton Rating Scale for Depression (GRID-HAMD). Internal consistency, homogeneity and convergent and discriminant validity of the QIDS-SR16 were assessed. Severity cut-off scores for QIDS-SR16 were assessed for convergence with HRSD-17 cut-offs. Published methods for converting scores to HRSD-17 were also assessed. Two hundred and eighty-six patients participated: mean age = 49.5 (s.d. = 13.8), 68% female, mean HRSD-17 = 12.6 (s.d. = 7.6). The QIDS-SR16 exhibited acceptable internal consistency (Cronbach's alpha = 0.86), a robust factor structure indicating one underlying dimension and correlated highly with the HRSD-17 (r = 0.79) but differed significantly in how it categorised the severity of depression relative to the HRSD-17 (Wilcoxon Signed Rank Test p < 0.001). Using published methods to convert QIDS-SR16 scores to HRSD-17 scores did not result in alignment of severity categorisation. In conclusion, psychometric properties of the QIDS-SR16 were found to be strong in terms of internal consistency, factor structure and convergent and discriminant validity. Using conventional scoring and conversion methods the scale was found not to concur with the HRSD-17 in categorising the severity of depressive symptoms.

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The QIDS-SR16 has shown good internal consistency (α = 0.86), as well as convergent and discriminant validity.
“The QIDS-SR16 has also shown good internal consistency (α = 0.86), as well as convergent and discriminant validity [20, 23].”
From Antidepressant side effects and their impact on treatment outcome in people with major depressive disorder: an iSPOT-D report (2021) · cites this paper as [23]

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Psychometric properties of the 16-item Quick Inventory of Depressive Symptomatology: A systematic review and meta-analysis
Reilly, T. J., MacGillivray, S. A., Reid, I. C., & Cameron, I. M. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.09.008 · Cited by 155
Self-citation
The 16-item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression
Rush, A. J., Trivedi, M. H., Ibrahim, H. M., Carmody, T. J., Arnow, B., Klein, D. N., Markowitz, J. C., Ninan, P. T., Kornstein, S., Manber, R., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01866-8 · Cited by 3,829
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Looking into the effect of multi-item symptom domains on psychometric characteristics of the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR16)
Trujols, J., de Diego-Adeliño, J., Feliu‐Soler, A., Castillo, I. I., Puigdemont, D., Álvarez, E., Pérez, V., & Portella, M. J. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.05.076 · Cited by 9

Authors: Cameron, I. M., Crawford, J. R., Cardy, A. H., du Toit, S. W., Lawton, K., Hay, S., Mitchell, K., Sharma, S., Shivaprasad, S., Winning, S., & Reid, I. C.
Affiliations: University of Aberdeen (GB)
Royal Cornhill Hospital (GB)
Corresponding author: Cameron, Isobel M.
ORCID: Cameron, Isobel M.
Sharma, Sumit
Reid, Ian C.
Venue: Journal of Psychiatric Research
Publisher: Elsevier BV
Published: 2013-05
Volume: 47
Issue: 5
Pages: 592-598
ISSN: 0022-3956 (ISSN-L)
DOI: 10.1016/j.jpsychires.2013.01.019
OpenAlex: W2091090666
Cited by: 42
References: 36
Citations by year: 2026: 4 · 2025: 4 · 2024: 6 · 2023: 5 · 2022: 4 · 2021: 2 · 2020: 1 · 2019: 3 · 2018: 1 · 2017: 3 · 2016: 2 · 2015: 4 · 2014: 3
FWCI: 4.06
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Psychiatric Research (publishedVersion)
PubMed (publishedVersion)
Funders: Division of Materials Research
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
Keywords: QIDS-SR16, depression severity, psychometric properties, primary care, Hamilton Depression Rating Scale, score conversion, factor structure, convergent validity, discriminant validity, internal consistency
MeSH terms: Adult, Depressive Disorder, Factor Analysis, Statistical, Female, United Kingdom, Humans, Male, Middle Aged, Primary Health Care, Psychiatric Status Rating Scales, Psychometrics, Retrospective Studies, Reproducibility of Results, Statistics, Nonparametric, Self Report

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Psychometric properties of the Quick Inventory of Depressive Symptomatology (QIDS-SR) in UK primary care

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