Using the QIDS-SR16 to Identify Major Depressive Disorder in Primary Care Medical Patients
Section snippets
Participants
Participants were 155 patients (123 females) at an urban, public hospital family medical center serving a lower-income population in a midsized midwestern U.S. city. Participants were considered eligible if they were over 18 years of age at the time of interview. The mean age of participants was 39 years (SD = 14.18), ranging from 18 to 79 years of age. A similar number of participants self-identified as either Caucasian (74; 47.7%) or African American (68; 43.9%), with the remaining (13; 8.39%)
Diagnostic Prevalences
The mean QIDS-SR16 score for this sample was 10 (SD = 6), indicating a mild to moderate level of depressive symptoms. Based on the recommended thresholds to estimate depression severity (Rush et al., 2003), 41 participants (26.5%) endorsed no depression, 50 participants (32.3%) endorsed mild depression, 32 participants (20.6%) endorsed moderate depression, 24 participants (15.5%) endorsed severe depression, and 8 participants (5.2%) endorsed very severe depression. Based on the SCID, 34 (21.9%)
Discussion
Findings from the present study provide initial support for the use of the QIDS-SR16 as a screening measure for identifying individuals who meet diagnostic criteria for MDD based on clinician assessment. Using a cut score of 13 or 14 on the QIDS-SR16, either of which optimized both the sensitivity and specificity of the measure, over 80% of participants were correctly classified with regards to MDD status. This level of prediction is significantly better than chance. Importantly, 22 (18.2%) of
Acknowledgement
Support for this research was provided to David M. Fresco by the Ohio Board of Regents.
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