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Background Cancer end-of-life care (EoLC) policies assume people want to die at home. We aimed to examine variations in preferences for place of death cross-nationally. Methods A telephone survey of a random sample of individuals aged ≥16 in England, Flanders, Germany, Italy, the Netherlands, Portugal and Spain. We determined where people would prefer to die if they had a serious illness such as advanced cancer, facilitating circumstances, personal values and experiences of illness, death and dying. Results Of 9344 participants, between 51% (95% CI: 48% to 54%) in Portugal and 84% (95% CI: 82% to 86%) in the Netherlands would prefer to die at home. Cross-national analysis found there to be an influence of circumstances and values but not of experiences of illness, death and dying. Four factors were associated with a preference for home death in more than one country: younger age up to 70+ (Germany, the Netherlands, Portugal, Spain), increased importance of dying in the preferred place (England, Germany, Portugal, Spain), prioritizing keeping a positive attitude (Germany, Spain) and wanting to involve family in decisions if incapable (Flanders, Portugal). Conclusions At least two-thirds of people prefer a home death in all but one country studied. The strong association with personal values suggests keeping home care at the heart of cancer EoLC. [ABSTRACT FROM AUTHOR]

Context: Depression is common among patients with advanced disease but often difficult to detect., Objectives: To assess the Palliative care Outcome Scale (POS) (10 items) against the Geriatric Depression Scale (GDS)-10 total score and the Hospital Anxiety and Depression Scale (HADS)-Depression subscale total score and determine if the POS has appropriate items to screen for depression among people with advanced disease., Methods: This was a secondary analysis performed on five studies. Four psychometric properties were assessed: data quality, scaling assumptions, acceptability, and internal consistency (reliability). Receiver operating characteristic (ROC) curves were used to determine the area under the curve. Sensitivity, specificity, positive and negative predictive values, false positive and negative rates, and positive and negative likelihood ratios were computed., Results: The overall sample had 416 patients from Germany and England: 144 had cancer and 267 had nonmalignant conditions. Prevalence of depression across the sample was 17.5%. Floor and ceiling effects were rare. Cronbach's alpha coefficients for POS items 7 and 8 summed, GDS-10 and HADS-Depression items varied: 0.61 (heart failure) and 0.80 (cancer). Two items combined (Item 7-feeling depressed and Item 8-feeling good about yourself) consistently presented the highest area under the ROC curve, ranging from 0.76 (95% CI 0.60, 0.93) (Germany, lung cancer) to 0.97 (95% CI 0.91, 1.0) (heart failure), highest negative predictive value, and lowest false negative rate. For the overall sample, the cutoff 2/3 presented a negative predictive value of 89.4% (95% CI 84.7, 92.8) and false negative rate of 10.6 (95% CI 7.2, 15.3)., Conclusion: POS items 7 and 8 summed are potentially useful to screen for depression in advanced disease populations., (Copyright © 2015 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.)