Lugar de fallecimiento de pacientes con procesos paliativos: ¿podemos invertir la tendencia de fallecer en el hospital? Translated title: Place of death of patients receiving palliative care: can we reverse the trend of dying in hospitals?

Advance care planning is the process of discussing and recording patient preferences concerning goals of care for patients who may lose capacity or communication ability in the future. Advance care planning could potentially improve end-of-life care, but the methods/tools used are varied and of uncertain benefit. Outcome measures used in existing studies are highly variable. To present an overview of studies on the effects of advance care planning and gain insight in the effectiveness of different types of advance care planning. Systematic review. We systematically searched PubMed, EMBASE and PsycINFO databases for experimental and observational studies on the effects of advance care planning published in 2000-2012. The search yielded 3571 papers, of which 113 were relevant for this review. For each study, the level of evidence was graded. Most studies were observational (95%), originated from the United States (81%) and were performed in hospitals (49%) or nursing homes (32%). Do-not-resuscitate orders (39%) and written advance directives (34%) were most often studied. Advance care planning was often found to decrease life-sustaining treatment, increase use of hospice and palliative care and prevent hospitalisation. Complex advance care planning interventions seem to increase compliance with patients' end-of-life wishes. The effects of different types of advance care planning have been studied in various settings and populations using different outcome measures. There is evidence that advance care planning positively impacts the quality of end-of-life care. Complex advance care planning interventions may be more effective in meeting patients' preferences than written documents alone. More studies are needed with an experimental design, in different settings, including the community. © The Author(s) 2014.

The majority of people would prefer to die at home and the stated intentions of both statutory and voluntary healthcare providers aim to support this. This service evaluation compared the preferred and actual place of death of patients known to a specialist community palliative care service. All deaths of patients (n=2176) known to the specialist palliative care service over a 5-year period were examined through service evaluation to compare the actual place of death with the preferred place of death previously identified by the patient. Triggers for admission were established when the patients did not achieve this preference. Between 2009 and 2013, 73% of patients who expressed a choice about their preferred place of death and 69.3% who wanted to die at home were able to achieve their preferences. During the course of their illness, 9.5% of patients changed their preference for place of death. 30% of patients either refused to discuss or no preference was elicited for place of death. Direct enquiry and identification of preferences for end-of-life care is associated with patients achieving their preference for place of death. Patients whose preferred place of death was unknown were more likely to be admitted to hospital for end-of-life care.

The purpose of this study was to identify factors associated with at-home death among patients with advanced cancer and create a decision-making model for discharging patients from an acute-care hospital. We conducted an observational cohort study to identify the association between place of death and the clinical and demographic characteristics of patients with advanced cancer who received care from a palliative home care team (PHCT) and of their primary caregivers. We used logistic regression analysis to identify the predictors of at-home death. We identified 380 patients who met the study inclusion criteria; of these, 245 patients (64%) died at home, 72 (19%) died in an acute-care hospital, 60 (16%) died in a palliative care unit, and three (1%) died in a nursing home. Median follow-up was 48 days. We included the 16 variables that were significant in univariate analysis in our decision-making model. Five variables predictive of at-home death were retained in the multivariate analysis: caregiver's preferred place of death, patients' preferred place of death, caregiver's perceived social support, number of hospital admission days, and number of PHCT visits. A subsequent reduced model including only those variables that were known at the time of discharge (caregivers' preferred place of death, patients' preferred place of death, and caregivers' perceived social support) had a sensitivity of 96% and a specificity of 81% in predicting place of death. Asking a few simple patient- and family-centered questions may help to inform the decision regarding the best place for end-of-life care and death.