PURPOSE: To clarify the ability of nurses and nursing assistants working in primary care, secondary care and nursing homes to identify depressed individuals using their clinical skills using meta-analysis of published studies. METHODS: Literature search, appraisal and meta-analysis. We located 22 studies reporting on the detection of depression, 4 involving primary care or community nurses; 7 involving hospital nurses and 11 from nursing homes.17 of 22 studies had specificity data. RESULTS: Across all 22 studies involving 7061 individuals, and a prevalence of 28.1% (95% CI=22.6-33.9%), practice and community nurses correctly identified 26.3% (95% CI=16.2-37.8%) of people with depression. They also correctly identified 94.8% (95% CI=91.3-97.4%) of the non-depressed. Nurses working in hospital settings correctly identified 43.1% (95% CI=31.9-54.8%) of people with depression and 79.6% (95% CI=71.5-86.7%) of the non-depressed. Those working in nursing homes correctly identified 45.8% (95% CI=38.1-53.6%) of people with depression and 80.0% (95% CI=68.6-88.7%) of the non-depressed. CONCLUSIONS: Nurses have considerable difficulty accurately identifying depression but are probably at least as accurate as medical staff.
PURPOSE: To clarify the ability of nurses and nursing assistants working in primary care, secondary care and nursing homes to identify depressed individuals using their clinical skills using meta-analysis of published studies. METHODS: Literature search, appraisal and meta-analysis. We located 22 studies reporting on the detection of depression, 4 involving primary care or community nurses; 7 involving hospital nurses and 11 from nursing homes.17 of 22 studies had specificity data. RESULTS: Across all 22 studies involving 7061 individuals, and a prevalence of 28.1% (95% CI=22.6-33.9%), practice and community nurses correctly identified 26.3% (95% CI=16.2-37.8%) of people with depression. They also correctly identified 94.8% (95% CI=91.3-97.4%) of the non-depressed. Nurses working in hospital settings correctly identified 43.1% (95% CI=31.9-54.8%) of people with depression and 79.6% (95% CI=71.5-86.7%) of the non-depressed. Those working in nursing homes correctly identified 45.8% (95% CI=38.1-53.6%) of people with depression and 80.0% (95% CI=68.6-88.7%) of the non-depressed. CONCLUSIONS: Nurses have considerable difficulty accurately identifying depression but are probably at least as accurate as medical staff.