Objective: The purpose of this study was to use a Swedish version of the Geriatric Depression Scale (GDS-20) for diagnosis of depression in the elderly in primary care.
Design: Elderly consecutive patients visiting two primary care centres (> or = 65 years of age; N = 1189) were rated by educated nurses using the GDS-20.
Setting: All elderly patients attending two primary care centres in an urban-based community in the south of Sweden.
Patients: Of the 1189 patients interviewed, 1002 were rated using the GDS-20.
Measures: The GDS-20, and in 26 patients also the Geriatric Mental State Schedule--Depression Scale (GMSS-DS).
Results: Of 1002 rated patients, 93 had scores of 5 or above on the GDS-20. Further analysis showed that 158 (13.3%) suffered from affective disorders.
Conclusion: Depression in the elderly is underdiagnosed in primary care centres. A screening instrument such as the GDS-20 is of value in identifying the patients.
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http://dx.doi.org/10.1002/(sici)1099-1166(199710)12:10<1029::aid-gps683>3.0.co;2-d | DOI Listing |
JMIR Res Protoc
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School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.
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View Article and Find Full Text PDFJMIR Res Protoc
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Psychiatry Department, Weill Cornell Medicine, New York, NY, United States.
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View Article and Find Full Text PDFJMIR Ment Health
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Center for Psychotraumatology, Institute of Psychology, Vilnius University, Vilnius, Lithuania.
Background: Prompts offer a promising strategy to promote client engagement in internet-delivered cognitive behavioral therapy (ICBT). However, if the prompts do not meet the needs of clients, they can potentially be more obtrusive rather than helpful.
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J Med Internet Res
January 2025
Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany.
Background: Traditional in-clinic methods of collecting self-reported information are costly, time-consuming, subjective, and often limited in the quality and quantity of observation. However, smartphone-based ecological momentary assessments (EMAs) provide complementary information to in-clinic visits by collecting real-time, frequent, and longitudinal data that are ecologically valid. While these methods are promising, they are often prone to various technical obstacles.
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