Short scales were as effective as long scales in screening for depression in older patientsPDF
ACP J Club. 2001 Nov-Dec;135:111. doi:10.7326/ACPJC-2001-135-3-111
Pomeroy IM, Clark CR, Philp I. The effectiveness of very short scales for depression screening in elderly medical patients. Int J Geriatr Psychiatry. 2001 Mar;16:321-6. [PubMed ID: 11288167]
In older patients, are short scales as effective as long scales in screening for depression?
Blinded comparison of 3 Geriatric Depression Scales (GDS-4, GDS-15, and GDS-30) and the Mental Health Inventory-1 (MHI-1) scale with diagnostic criteria of research of International Classification of Diseases—10th edition (DCR-10).
A teaching hospital in the United Kingdom.
87 patients (mean age 79 y, 60% women) who were > 60 years of age and attended the day rehabilitation facility or were admitted to the medical rehabilitation wards. Patients were excluded if they had an illness, communication problems, or a score of < 6 on the 10-item Abbreviated Mental Test (AMT).
Description of tests and diagnostic standard
The GDS-30, GDS-4, 10-item AMT, and 5-item MHI were administered within 48 hours after an initial interview. Data for GDS-15 and MHI-1 were extracted from GDS-30 and MHI-5. Established cut points for diagnosis of depression were used for GDS-30, GDS-15, and GDS-4. The cut point for MHI-1 was set retrospectively. The clinical interview assessed mood and depression by using the DCR-10 (diagnostic standard).
Main outcome measures
Sensitivity, specificity, and area under the receiver-operating characteristic (ROC) curve.
17 of the 87 patients (20%) were diagnosed with depression by using the DCR-10. Sensitivity, specificity, positive and negative likelihood ratios, and ROC curve results for all tests are in the Table. The 4 tests did not differ for screening of depression.
Short scales (Geriatric Depression Scale-4 and Mental Health Inventory-1) were comparable in sensitivity and specificity to long scales (Geriatric Depression Scale-30 and Geriatric Depression Scale-15) in screening for depression in older patients.
Source of funding: Not stated.
For correspondence: Professor I. Philp, Sheffield Institute for Studies on Ageing, Northern General Hospital, Herries Road, Sheffield S5 7AU, England, UK.
Table. Operating characteristics of short and long scales to screen for depression in older patients*
|Scales||Sensitivity||Specificity||+LR||−LR||Area under ROC curve (95% CI)|
|MHI-1||88%||71%||3.08||0.17||0.88 (0.79 to 0.97)|
|GDS-4||82%||67%||2.50||0.26||0.80 (0.68 to 0.93)|
|GDS-15||82%||60%||2.06||0.29||0.82 (0.71 to 0.93)|
|GDS-30||100%||62%||2.70||0.00||0.85 (0.77 to 0.94)|
*GDS = Geriatric Depression Scale; MHI = Mental Health Inventory; ROC = receiver-operating characteristic. Other diagnostic terms defined in Glossary; LRs calculated from data in article.
Depression is common, serious, and treatable, but it is underrecognized, particularly in elderly persons (1). Societal and cultural biases often hinder the diagnosis. The study by Pomeroy and colleagues compares 4 different screening instruments of variable length and content. The authors found that all 4 screening instruments had similar accuracy for detecting depression, and the 1-item MHI-1 had the best combination of sensitivity and specificity.
These results need further validation for 3 reasons: First, this study assessed a small inpatient sample. Second, fewer than half of the patients approached were included in the study. Third, a relatively low interrater reliability (κ = 0.40) existed for MHI-1. Furthermore, the cut point for the MHI was defined retrospectively, and the item itself was not done independently and was extracted from a longer scale.
Should the clinician wait for further validation before implementing this approach to screening for depression? The answer is a resounding “no!” The literature on screening for depression in general medical outpatients (2) suggests that all of the screening instruments are relatively comparable, with sensitivity and specificity ranging from 80% to 90%, similar to the findings in this study. In a typical setting, a positive test result might raise the probability of depression from 10% to 15% to 35% to 45%, and a negative test result might lower the probability of depression to < 5%. Ensuring that all patients are screened for depression regularly is more important than small changes in the precision of the screening instrument (3).
Scott Sherman, MD, MPH
Veterans Affairs Center for the Study of Healthcare Provider Behavior
Sepulveda, California, USA