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This study aims at examining the distribution of unmet environmental, physical, social and psychological care needs in a sample of the oldest old primary care patients with different levels of depression severity. Furthermore, the objective of this study was to analyze the association between specific unmet care needs and severity of depression.The sample of patients aged 75 years (n = 202) and more was derived from the multicenter prospective cohort study AgeMooDe ('Late-life depression in primary care: Needs, health care utilization and costs'). Patients were assessed via structured clinical interviews containing the German version of the Camberwell Assessment of Need for the Elderly (CANE) and the German Hospital Anxiety and Depression Scale (HADS-D). Descriptive statistics, Spearman correlation coefficients and binary logistic regression analyses were computed.Unmet needs appeared to be substantially higher in the patient group with higher levels of depression severity according to the HADS-D score. Overall, there was weak positive linear correlation between depression and CANE total unmet needs. Except of the physical unmet needs category, all other CANE care categories showed little to moderate positive linear correlations with depression according to the HADS-D score. Depression and psychological unmet needs showed the strongest of all correlations, followed by social unmet needs. The binary logistic regression analysis revealed that patients having psychological unmet needs were 4.8 times more likely diagnosed with a probable depression.Systematic needs assessment, especially psychological needs, may play a crucial role in the course of prevention and effective treatment of late-life depression in the primary care context.

We aimed at identifying differences regarding cognition, depressive symptoms and health-related quality of life between members of private and statutory health insurance (SHI) in very old age in Germany.Cross-sectional data were gathered from the multicenter prospective "Study on Needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85+)" (AgeQualiDe), covering primary care patients aged ≥ 85 years (n = 854; with 773 members of SHI). The Global Deterioration Scale measured cognition, the Geriatric Depression Scale assessed depressive symptoms, and health-related quality of life was measured by using a Visual Analogue Scale (EQ-VAS).While members of private health insurance showed slightly better cognitive function, less depressive symptoms and better health-related quality of life descriptively, regression models showed that none of these differences was statistically significant.There are no differences between members of private health insurance and SHI regarding cognitive function, depressive symptoms and health-related quality of life in very old age.Analyse möglicher Unterschiede in Kognition, depressiven Symptomen und gesundheitsbezogener Lebensqualität zwischen GKV- und PKV-Versicherten im hohen Alter.N = 854 (nLeichte deskriptive Unterschiede in den betrachteten Maßen erwiesen sich in multiplen Regressionsanalysen nicht als statistisch signifikant.Zwischen GKV- und PKV-Versicherten bestehen keine Unterschiede in den untersuchten Maßen.

Objective: The objective of this study was to describe and analyze the effects of depression on health care utilization and costs in a sample of multimorbid elderly patients. Method: This cross-sectional analysis used data of a prospective cohort study, consisting of 1,050 randomly selected multimorbid primary care patients aged 65 to 85 years. Depression was defined as a score of six points or more on the Geriatric Depression Scale (GDS-15). Subjects passed a geriatric assessment, including a questionnaire for health care utilization. The impact of depression on health care costs was analyzed using multiple linear regression models. A societal perspective was adopted. Results: Prevalence of depression was 10.7%. Mean total costs per six-month period were €8,144 (95% CI: €6,199-€10,090) in patients with depression as compared to €3,137 (95% CI: €2,735-€3,538; p