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.
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.
Authors: Monica Spruit-van Eijk; Bianca I Buijck; Sytse U Zuidema; Frans L M Voncken; Alexander C H Geurts; Raymond T C M Koopmans Journal: BMC Geriatr Date: 2010-03-27 Impact factor: 3.921
Authors: Bianca I Buijck; Sytse U Zuidema; Monica Spruit-van Eijk; Hans Bor; Debby L Gerritsen; Raymond T C M Koopmans Journal: BMC Health Serv Res Date: 2012-12-04 Impact factor: 2.655
Authors: Debby L Gerritsen; Martin Smalbrugge; Steven Teerenstra; Ruslan Leontjevas; Eddy M Adang; Myrra J F J Vernooij-Dassen; Els Derksen; Raymond T C M Koopmans Journal: BMC Psychiatry Date: 2011-05-20 Impact factor: 3.630
Authors: Jan H M Visschedijk; Monique A A Caljouw; Eduard Bakkers; Romke van Balen; Wilco P Achterberg Journal: BMC Geriatr Date: 2015-12-04 Impact factor: 3.921