Cited by 58Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMental Health Treatment and AccessTreatment of Major Depression

Using the QIDS-SR16 to identify major depressive disorder in primary care medical patients

Lamoureux, Brittain E., Linardatos, Eftihia, Fresco, David M., Bartko, Dena, Logue, Everett, Milo, Lori·2010·Behavior Therapy

Abstract

Major depressive disorder (MDD) is a serious and prevalent mental health issue. As the majority of MDD cases are identified and treated by one's primary care physician, it is imperative that care providers utilize accurate and efficient methods for diagnosing MDD in primary care settings. The present study is the first to investigate the accuracy of the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR(16)) as a screen for MDD. A heterogeneous sample of 155 primary care patients completed the QIDS-SR(16) prior to attending a primary care appointment. Participants were then assessed for psychopathology using the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID) by clinicians who were blind to QIDS-SR(16) scores. Scores on the QIDS-SR(16) were compared to clinician-assessed current and lifetime diagnoses derived from the SCID, which represented the gold-standard criterion measure. Receiver operator characteristic analysis was utilized to determine the optimal QIDS-SR(16) cut score to correctly classify participants based on their MDD status as assessed by the SCID. The test revealed a robust area under the curve (.82, p<0.00001) and suggested that a cut score of 13 or 14 provided the best balance of sensitivity (76.5%) and specificity (81.8%) in this primary care sample. Over 80% of participants were correctly classified. Separate analyses by race were conducted to address the possibility that different cut scores may be more accurate for African American and Caucasians. Findings from the present study provide support for the use of the QIDS-SR(16) as a screening measure for identifying primary care patients who will meet diagnostic criteria for MDD based on clinician assessment.

Integrity signals

Registry

Crossref · 10.1016/j.beth.2009.12.002

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

4 of the 31 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Lamoureux, B. E., Linardatos, E., Fresco, D. M., Bartko, D., Logue, E., & Milo, L.
Affiliations
  • Kent State University (US)
  • Summa Health System (US)
Corresponding author
Fresco, David M.
Venue
Behavior Therapy
Publisher
Elsevier BV
Published
2010-09
Volume
41
Issue
3
Pages
423-431
ISSN
0005-7894 (ISSN-L)
OpenAlex
W2047245565
Cited by
58
References
31
Citations by year
2026: 2 · 2025: 4 · 2024: 1 · 2023: 6 · 2022: 12 · 2021: 5 · 2020: 8 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 2 · 2014: 5 · 2013: 2 · 2012: 1
FWCI
2.50
Type
journal article
Language
en
Open access
closed
Locations
  • Behavior Therapy (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
Keywords
major depressive disorder, QIDS-SR16, depression screening, primary care, screening accuracy, cut-off values, sensitivity and specificity, African American patients
MeSH terms
Adolescent, Adult, Aged, Mental Disorders, Black or African American, Major Depressive Disorder, Female, Humans, Interview, Psychological, Male, Middle Aged, Primary Health Care, Psychiatric Status Rating Scales, ROC Curve, Self-Assessment, Sensitivity and Specificity, United States, Comorbidity, Prevalence, Area Under Curve, White People, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review