ArticleInternational journal of methods in psychiatric research2018
Categorical and dimensional perspectives on depression in elderly primary care patients - Results of the AgeMooDe study.
Article in International journal of methods in psychiatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Observational
- Mental health of individuals with pre-existing mental illnesses at the beginning of the COVID-19 pandemic: results of the German National Cohort (NAKO).Frontiers in public health · 2024Article
- The 'discontinuity hypothesis' of depression in later life-clinical and research implications.Age and ageing · 2023Review
- Superoxide imbalance triggered by Val16Ala-SOD2 polymorphism increases the risk of depression and self-reported psychological stress in free-living elderly people.Molecular genetics & genomic medicine · 2020Article
- Categorical and dimensional perspectives on depression in elderly primary care patients - Results of the AgeMooDe study.International journal of methods in psychiatric research · 2018Article
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14 authors.
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Abstract
An accurate diagnosis is essential for the management of late-life depression in primary care. This study aims to (1) provide information on the agreement on depression diagnoses between general practitioners (GPs), dimensional tools (Geriatric Depression Scale [GDS], Hospital Anxiety and Depression Scale [HADS]) and a categorical tool (Structured Clinical Interview for DSM-IV criteria [SCID]) and (2) identify factors associated with different diagnoses. As part of the multicenter study "Late-life depression in primary care: needs, health care utilization and costs (AgeMooDe)" a sample of 1113 primary care patients aged 75 years and older was assessed. The proportion of depression was 24.3% according to GPs, 21.8% for the GDS, 18.9% for the HADS and 8.2% for the SCID. Taking GDS, HADS and SCID as reference standards, recognition of GPs was 47%, 48% and 63%. Cohen's Kappa values indicate slight to moderate agreement between diagnoses. Multinomial logistic regression models showed that patient related factors of depression were anxiety, intake of antidepressants, female gender, a low state of health, intake of medication for chronic diseases and functional impairment. GPs performed better at ruling out depression than ruling in depression. High levels of disagreement between different perspectives on depression indicate that they may be sensitive to different aspects of depression.
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