Objective: As the health care reimbursement system has changed, brief scree
ns for detecting mental disorders in primary care have been developed. Thes
e efforts have faced the formidable task of identifying patients with menta
l disorders, while at the same time minimizing the number of misclassifIed
cases. Here we consider the balance between sensitivity and positive predic
tive value. Primary care patients with false positive and false negative re
sults on screens for depression and panic disorder are compared with regard
to comorbidity and functional impairment. Methods: This was a cross-sectio
nal psychometric study. The study sample included 1001 primary care patient
s from the Department of Internal Medicine at Kaiser Permanente in Oakland,
California. The Symptom-Driven Diagnostic System for Primary Care (SDDS-PC
) screens and Sheehan Disability Scale were completed by the subjects. The
SDDS-PC diagnostic interviews were administered to all subjects. Results: P
atients with false positive results on the panic disorder screen did not di
ffer from patients with false negatives results with regard to rates of oth
er psychiatric disorders, functional impairment, or mental health service u
tilization. In contrast, patients with false negative depression screen res
ults had significantly more psychiatric disorders and functional impairment
than those with false positive depression results. Conclusions: A substant
ial number of patients with either false positive or false negative screen
results met diagnostic criteria for other mental disorders. Given the nomin
al burden of follow-up assessments for patients with positive screens, thes
e data suggest that erring on the side of sensitivity may have been prefera
ble when algorithms for these screens were selected.