Development of a minimum data set-based depression rating scale for use in nursing homes

Area of Science:

• Geriatric Medicine
• Psychiatry
• Health Services Research

Background:

• Depression is prevalent yet often undiagnosed in nursing home residents.
• A standardized screening tool incorporating staff observations is needed.

Purpose of the Study:

• To develop and validate a depression screening instrument using items from the Minimum Data Set (MDS).

Main Methods:

• MDS mood items correlated with Hamilton and Cornell depression scales were identified.
• Factor analysis yielded five factors, leading to a seven-item MDS Depression Rating Scale.
• The scale's performance was tested against established cut-offs and psychiatric diagnoses.

Main Results:

• A cut-point of 3 on the MDS Depression Rating Scale demonstrated high sensitivity (94% for Hamilton, 78% for Cornell) and good specificity (72% for Hamilton, 77% for Cornell).
• The scale showed 91% sensitivity and 69% specificity against major/non-major depression diagnoses.
• Performance was comparable to the Geriatric Depression Scale.

Conclusions:

• The MDS contains items that can be effectively organized to screen for depression in nursing home residents.
• Further validation studies are recommended for this novel screening instrument.