ObjectivesThe cutoff scores for the Geriatric Depression Scale (GDS) commonly adopted in clinical and research settings are based upon other neuropsychological tests. However, any intervention for depression should aim at improving subjective quality of life (QoL). We searched for a GDS cutoff level that might identify a decrease in perceived QoL using a scale that also allows formal cost-effectiveness calculations. MethodsQuality of life was assessed by the Health Utilities Index, Mark 3 in all 344 residents of Tuscania (Italy) aged 75years and above. Mood was assessed by both the 30-item GDS and the derived 15-item GDS. The association of GDS with low QoL was analyzed by multivariable logistic regression. Receiver operating characteristic curve analysis was adopted to estimate the overall predictive value and the best GDS cutoff for poor QoL. ResultsThe 30-item GDS score was associated with increased probability of a worse QoL (odds ratio (OR)=1.07, 95% confidence (CI)=1.02-1.12, p=0.003); also, it was a fair predictor of worse QoL (area under the curve (AUC)=0.72; 95% CI=0.67-0.76). The best GDS score cutoff for identifying a poor QoL was above 9/30. Results were similar (OR=1.07, 95% CI=1.02-1.12, p=0.003, and AUC=0.72, 95% CI=0.67-0.76) for the short GDS form for a cutoff above 5/15. ConclusionsAmong older subjects, depressive symptoms are associated with reduced QoL; GDS scores above 9/30 or 5/15 best predict poor perceived health-related QoL. These cutoff scores could therefore identify subjects in whom treatment is more likely to improve QoL and to yield a favorable cost-effectiveness ratio. Copyright (c) 2017 John Wiley & Sons, Ltd.
Definition of a Geriatric Depression Scale cutoff based upon quality of life: a population-based study
2018-01-01
Abstract
ObjectivesThe cutoff scores for the Geriatric Depression Scale (GDS) commonly adopted in clinical and research settings are based upon other neuropsychological tests. However, any intervention for depression should aim at improving subjective quality of life (QoL). We searched for a GDS cutoff level that might identify a decrease in perceived QoL using a scale that also allows formal cost-effectiveness calculations. MethodsQuality of life was assessed by the Health Utilities Index, Mark 3 in all 344 residents of Tuscania (Italy) aged 75years and above. Mood was assessed by both the 30-item GDS and the derived 15-item GDS. The association of GDS with low QoL was analyzed by multivariable logistic regression. Receiver operating characteristic curve analysis was adopted to estimate the overall predictive value and the best GDS cutoff for poor QoL. ResultsThe 30-item GDS score was associated with increased probability of a worse QoL (odds ratio (OR)=1.07, 95% confidence (CI)=1.02-1.12, p=0.003); also, it was a fair predictor of worse QoL (area under the curve (AUC)=0.72; 95% CI=0.67-0.76). The best GDS score cutoff for identifying a poor QoL was above 9/30. Results were similar (OR=1.07, 95% CI=1.02-1.12, p=0.003, and AUC=0.72, 95% CI=0.67-0.76) for the short GDS form for a cutoff above 5/15. ConclusionsAmong older subjects, depressive symptoms are associated with reduced QoL; GDS scores above 9/30 or 5/15 best predict poor perceived health-related QoL. These cutoff scores could therefore identify subjects in whom treatment is more likely to improve QoL and to yield a favorable cost-effectiveness ratio. Copyright (c) 2017 John Wiley & Sons, Ltd.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


