Construction and validation of a patient- and user-friendly nursing home version of the Geriatric Depression Scale.
until further notice
SourceInternational Journal of Geriatric Psychiatry, 22, 9, (2007), pp. 837-842
Article / Letter to editor
Display more detailsDisplay less details
Nursing Home Medicine
International Journal of Geriatric Psychiatry
SubjectEBP 3: Effective Primary Care and Public Health; NCEBP 11: Alzheimer Centre
OBJECTIVE: To construct a patient- and user-friendly shortened version of the Geriatric Depression Scale (GDS) that is especially suitable for nursing home patients. METHODS: The study was carried out on two different data bases including 23 Dutch nursing homes. Data on the GDS (n = 410), the Mini Mental State Examination (n = 410) and a diagnostic interview (SCAN; n = 333), were collected by trained clinicians. Firstly, the items of the GDS-15 were judged on their clinical applicability by three clinical experts. Subsequently, items that were identified as unsuitable were removed using the data of the Assess project (n = 77), and internal consistency was calculated. Secondly, with respect to criterion validity (sensitivity, specitivity, area under ROC and positive and negative predictive values), the newly constructed shortened GDS was validated in the AGED data set (n = 333), using DSM-IV diagnosis for depression as measured by the SCAN as 'gold standard'. RESULTS: The eight-item GDS that resulted from stage 1 showed good internal consistency in both the Assess data set (alpha = 0.86) and the AGED dataset (alpha = 0.80). In the AGED dataset, high sensitivity rates of 96.3% for major depression and 83.0% for minor depression were found, with a specificity rate of 71.7% at a cut-off point of 2/3. CONCLUSION: The GDS-8 has good psychometric properties. Given that the GDS-8 is less burdening for the patient, more comfortable to use and less time consuming, it may be a more feasible screening test for the frail nursing home population.
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.