1. Making the cut: Depression screening in urban general hospital clinics for culturally diverse Latino populations.
- Author
-
Gutnick D, Siegel C, Laska E, Wanderling J, Wagner EC, Haugland G, and Conlon MK
- Subjects
- Adult, Ecuador ethnology, Female, Humans, Male, Mexico ethnology, Middle Aged, New York City ethnology, Puerto Rico ethnology, Depressive Disorder, Major diagnosis, Depressive Disorder, Major ethnology, Emigrants and Immigrants statistics & numerical data, Hispanic or Latino statistics & numerical data, Hospitals, Urban statistics & numerical data, Patient Health Questionnaire standards, Safety-net Providers statistics & numerical data, Stress, Psychological ethnology
- Abstract
Objectives: We examined whether the cut-point 10 for the Patient Health Questionnaire-9 (PHQ9) depression screen used in primary care populations is equally valid for Mexicans (M), Ecuadorians (E), Puerto Ricans (PR) and non-Hispanic whites (W) from inner-city hospital-based primary care clinics; and whether stressful life events elevate scores and the probability of major depressive disorder (MDD)., Methods: Over 18-months, a sample of persons from hospital clinics with a positive initial PHQ2 and a subsequent PHQ9 were administered a stressful life event questionnaire and a Structured Clinical Interview to establish an MDD diagnosis, with oversampling of those between 8 and 12: (n=261: 75 E, 71 M, 51 PR, 64 W). For analysis, the sample was weighted using chart review (n=368) to represent a typical clinic population. Receiver Operating Characteristics analysis selected cut-points maximizing sensitivity (Sn) plus specificity (Sp)., Results: The optimal cut-point for all groups was 13 with the corresponding Sn and Sp estimates for E=(Sn 73%, Sp 71%), M=(76%, 81%), PR=(81%, 63%) and W=(80%, 74%). Stressful life events impacted screen scores and MDD diagnosis., Conclusions: Elevating the PHQ9 cut-point for inner-city Latinos as well as whites is suggested to avoid high false positive rates leading to improper treatment with clinical and economic consequences., (Copyright © 2016 Elsevier Inc. All rights reserved.)
- Published
- 2017
- Full Text
- View/download PDF