Socioeconomic and health status differences between depressed and nondepressed ED elders.

The objective of the study was to describe differences in demographics, medical conditions, and social situation between depressed and nondepressed elderly emergency department (ED) patients. We studied a prospective convenience sample of English-speaking ED patients greater-than-or-equal 65 years, without altered mental status, obvious dementia or delirium, participating in a depression screening study during an ED visit for a nonpsychiatric complaint. Demographics were collected. Research personnel administered the Geriatric Depression Scale (GDS), the Folstein Mini-Mental State Examination and a health questionnaire. A total of 103 subjects were enrolled. GDS identified 33 patients (32%) with DEP. DEP patients were more likely to report the following: lower income, lower education level, more medical conditions, less independence, assisted living, and poorer overall health than ND patients. A third of these elderly ED patients report symptoms consistent with depression. There are significant differences in socioeconomic characteristics, health status, and functional ability. Future depression studies should focus on elders with these characteristics.

Validation of a brief screening tool to detect depression in elderly ED patients.

Although depression is the most common psychiatric disorder in the elderly, it is often unrecognized by physicians. The objective of the study was to assess the utility of a 3-question screening instrument (ED-DSI) to detect depression among elderly emergency department (ED) patients. We used a prospective convenience sample of English-speaking ED patients >or=65yr. Patients were excluded for being too ill to participate, having obvious dementia, or acute changes in mentation. A physician administered the ED-DSI. Trained research personnel blinded to ED-DSI answers then administered the 30 question Geriatric Depression Scale (GDS). The ED-DSI was considered positive if the patient answered yes to one or more questions and subjects were considered depressed when the GDS score was >or=10. ED-DSI was compared to GDS using contingency tables. A total of 103 subjects were enrolled. Average age was 75 years and subjects were predominately female (66%) and white (85%). GDS identified 33 patients (32%) as depressed. Of these, 26 were correctly identified by ED-DSI giving an ED-DSI sensitivity of 79% (95%CI (65%, 93%)) specificity of 66% (95%CI (54%, 78%)) and a negative predictive value of 87% (95%CI (79%, 95%)). The 3-question ED-DSI is a useful tool to detect depression in this population of ED patients.