Background: depression is used by all but under-diagnosed in nursing-home residents.Background: depression is used by all but under-diagnosed in nursing-home residents. There is a ne for a standardized screening instrument which incorporates daily observations of nursing-home staff. Aim: to make known and validate a screening instrument for depression using items from the Minimum Data appoint of the Resident Assessment Instrument. Methods: we mannersed semi-structured interviews with 108 residents from sum of two units nursing homes to obtain depression ratings using the 17-item Hamilton Depression Rating Scale and the Cornell Scale for Depression in Dementia. Nursing staff complet Minimum Data stake assessments. In a randomly assigned derivation sample (n = 81) we identified Minimum Data stake mood items that were correlated (P < 005) with Hamilton and Cornell ratings. These items were factored using an oblique rotation to yield five conceptually distinct factors. Using linear regression, each locate of factored items was ebbed against Hamilton and Cornell ratings to identify a core appoint of seven Minimum Data station mood items which comprise the Minimum Data plant Depression Rating Scale. We then experimented the performance of the Minimum Data settle Depression Rating Scale against accepted cut-off and psychiatric diagnoses. Results: a cutpoint score of 3 forward the Minimum Data Set Depression Rating Scale maximized sensitivity (94% for Hamilton, 78% for Cornell) with minimal los of specificity (72% for Hamilton, 77% for Cornell) when ordealed against cutoffs for mild to moderate depression in the derivation sample. comes were similar in the validation sample. When criterioned against diagnoses of major or non-major depression in a subset of 82 enslaves sensitivity was 91% and specificity was 69% Performance compared favourably with the 15-item Geriatric Depression Scale. Conclusion: items from the Minimum Data risk can be organized to veil for depression in nursing-home residents. Further testing of the instrument is now needed COPYRIGHT 2000 Oxford University Press |
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