Identification of depression in an inner-city population using a simple screen.
Publication/Presentation Date
12-1-2005
Abstract
OBJECTIVES: The purpose of this study was to compare a brief screening tool with physicians' usual practice in detecting depressive symptoms in patients presenting with somatic complaints to an inner-city emergency department. Depression is a major cause of morbidity and mortality in the United States. Underprivileged patients who rely on emergency departments for primary care remain at risk for undetected depression.
METHODS: This prospective observational study included all patients older than 18 years presenting to an urgent care clinic staffed by emergency physicians in an urban public hospital during an eight-week period. Clinically unstable patients and those with a chief complaint of depression were excluded. After consenting, patients completed a previously validated two-question screening tool for depression. Patients identified as having depressive symptoms were referred to social workers for evaluation for possible psychiatric intervention.
RESULTS: Of the 226 patients enrolled, 55% (124/226; 95% confidence interval [CI] = 48% to 61%) screened positive for depressive symptoms. Physicians identified 14% (31/226; 95% CI = 10% to 19%) as having depressive symptoms. The kappa value was 0.22 (95% CI = 0.14 to 0.29). All patients but one identified as positive by the physicians screened positive on the screening tool. Patients who screened positive were referred to social workers. The physicians failed to identify 19 of the patients who needed further psychiatric care.
CONCLUSIONS: Depressive symptoms are common among patients in urgent care settings with somatic complaints. A simple screening tool identified more patients for further evaluation than does physicians' usual practice.
Volume
12
Issue
12
First Page
1221
Last Page
1226
ISSN
1553-2712
Published In/Presented At
Haughey, M. T., Calderon, Y., Torres, S., Nazario, S., & Bijur, P. (2005). Identification of depression in an inner-city population using a simple screen. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 12(12), 1221–1226. https://doi.org/10.1197/j.aem.2005.07.027
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
16293899
Department(s)
Administration and Leadership
Document Type
Article