Effectiveness of a complex advance care planning intervention focusing on nursing home residents: first results of the cluster-randomized controlled BEVOR-trial

BackgroundFew trials on advance care planning (ACP) have investigated the clinical effect on care consistency with care preferences (3CP) in the nursing home (NH) setting.MethodsBEVOR is a multi-centre, cluster-randomized controlled trial aimed to improve 3CP in NH residents (09/2019–02/2023). A total of 44 NHs from 4 German regions were randomized either to the control group (n=24) or the intervention group (n=24). The complex ACP intervention comprised the offer to lead ACP conversations with qualified facilitators on the individual (resident) level and offers for organizational development and staff education on the institutional (NH) level. Educational ACP modules were offered to emergency medical services, hospitals and other regional players relevant for these residents' medical care.After a run-in phase of the intervention, which was extended due to the Covid19-pandemic from originally 9 to (up to) 18 months, the observation period was 12 months from September 2021 to August 2022. Primary outcome was defined as hospitalization rate, understood as a surrogate parameter for 3CP, collected as anonymous data from all residents of the participating NHs. Main secondary outcome is 3CP, taken from a subset of 892 residents (20.5%) who gave informed consent. To measure 3CP, treatment decisions in potentially life-threatening events (‘care delivered') were identified retrospectively every 3 months from the NH records. Correspondingly, ‘care preferences' were assessed retrospectively, integrating data from residents' files and interviews with residents, proxies and nurses, also taking into account the effected level of shared decision making. Analysis of the primary outcome follows the intention-to-treat principle.ResultsThe main outcomes will be available by the time of the acp-i conference.ConclusionResults of the BEVOR trial will give insights into possible clinical effects of a complex regional ACP intervention.

Decisions on the allocation of intensive care resources in the context of the COVID-19 pandemic : Clinical and ethical recommendations of DIVI, DGINA, DGAI, DGIIN, DGNI, DGP, DGP and AEM.

In view of the globally evolving coronavirus disease (COVID-19) pandemic, German hospitals rapidly expanded their intensive care capacities. However, it is possible that even with an optimal use of the increased resources, these will not suffice for all patients in need. Therefore, recommendations for the allocation of intensive care resources in the context of the COVID-19 pandemic have been developed by a multidisciplinary group of authors with the support of eight scientific medical societies. The recommendations for procedures and criteria for prioritisations in case of resource scarcity are based on scientific evidence, ethicolegal considerations and practical experience. Medical decisions must always be based on the need and the treatment preferences of the individual patient. In addition to this patient-centred approach, prioritisations in case of resource scarcity require a supraindividual perspective. In such situations, prioritisations should be based on the criterion of clinical prospect of success in order to minimize the number of preventable deaths due to resource scarcity and to avoid discrimination based on age, disabilities or social factors. The assessment of the clinical prospect of success should take into account the severity of the current illness, severe comorbidities and the patient's general health status prior to the current illness.

Digital contact tracing and exposure notification: ethical guidance for trustworthy pandemic management.

There is growing interest in contact tracing apps (CT apps) for pandemic management. It is crucial to consider ethical requirements before, while, and after implementing such apps. In this paper, we illustrate the complexity and multiplicity of the ethical considerations by presenting an ethical framework for a responsible design and implementation of CT apps. Using this framework as a starting point, we briefly highlight the interconnection of social and political contexts, available measures of pandemic management, and a multi-layer assessment of CT apps. We will discuss some trade-offs that arise from this perspective. We then suggest that public trust is of major importance for population uptake of contact tracing apps. Hasty, ill-prepared or badly communicated implementations of CT apps will likely undermine public trust, and as such, risk impeding general effectiveness.

[Rational therapeutic decisions in intensive care patients]. / Rationale Therapieentscheidungen bei Intensivpatienten.

Decisions about the initiation, continuation and termination of life-supporting treatments are a permanent challenge in intensive care units (ICUs). Decisions should be based on patient preferences and the medical indication. The medical indication is mainly the result of an assessment of the patient's prognosis and the applicable therapeutic options. Factors influencing the short term prognosis are mostly the severity of the acute leading disease, the number and severity of other organ failures and the response to initial treatment. Long term prognosis is dominated by the severity and number of comorbidities, age and the resulting frailty. Because in many patients all these informations are not available at the time of admission, in these cases a time-limited trial is often justified to gather all this information before a decision is made. These principles of decision making can also applied to situations in which ICU-capacities are limited (e. g. COVID-19 pandemic).

[Decisions on the allocation of intensive care resources in the context of the COVID-19 pandemic : Clinical and ethical recommendations of DIVI, DGINA, DGAI, DGIIN, DGNI, DGP, DGP and AEM. German version]. / Entscheidungen über die Zuteilung intensivmedizinischer Ressourcen im Kontext der COVID-19-Pandemie : Klinisch-ethische Empfehlungen der DIVI, der DGINA, der DGAI, der DGIIN, der DGNI, der DGP, der DGP und der AEM.

In view of the globally evolving Coronavirus Disease (COVID-19) pandemic, German hospitals rapidly expanded their intensive care capacities. However, it is possible that even with an optimal use of the increased resources, these will not suffice for all patients in need. Therefore, recommendations for the allocation of intensive care resources in the context of the COVID-19 pandemic have been developed by a multidisciplinary authors group with support of eight scientific medical societies. The recommendations for procedures and criteria for prioritisations in case of resource scarcity are based on scientific evidence, ethico-legal considerations and practical experience. Medical decisions must always be based on the need and the treatment preferences of the individual patient. In addition to this patient-centred approach, prioritisations in case of resource scarcity require a supra-individual perspective. In such situations, prioritisations should be based on the criterion of clinical prospect of success in order to minimize the number of preventable deaths due to resource scarcity and to avoid discrimination based on age, disabilities or social factors. Assessment of the clinical prospect of success should take into account the severity of the current illness, severe comorbidities and the patient's general health status prior to the current illness.