title: Depression Screening in Medically Ill Homecare Elderly.
abstract: PURPOSE: This article provides data on a depression screening model (HOME) in acute home health care designed to detect clinical depression among medically ill homebound older patients. The model was developed to address the lack of mental health services in home health care settings and to specifically improve geriatric depression screening as part of routine care. Authors report on the concordance of homecare and research interview ratings of depression in older homecare patients. DESIGN AND METHODS: Using a prospective cohort design, data were collected from 289 elderly patients, aged 65 and older, from a large home health care agency to examine depression, cognitive functioning, medical comorbidity, functional status, and social isolation. Research interviews used the depression module of the structured clinical interview for DSM (SCID). RESULTS: The overall prevalence of major depression was 5.7 percent according to both homecare and research raters. The prevalence of subthreshold depressive disorder was 16.4 percent as reported by research raters. Observed agreement was 73 percent and kappa agreement was 0.42, indicating a fair to moderate agreement. We identified patient characteristics that may influence the accuracy of homecare worker estimates of depressive symptoms. IMPLICATIONS: Findings suggest that depression continues to be underdetected in medically ill homebound elderly patients. Ongoing training in depression screening methods, patient follow-up interviews, and appropriate referral would improve care of depressed elderly homecare patients.
authors: Associate Professor, Hartford Geriatric Social Work Faculty Scholar, Center for Mental Health and Aging, School of Social Policy & Practice, University of Pennsylvania.
authors: Zvi D
authors: ZD
authors: Gellis