Feasibility of implementing a decision aid for advanced cancer patients in a comprehensive cancer centers' outpatient setting: Valuable lessons learned.

Background: Decision aids (DAs) have been proposed as tools to empower patients in decision-making. However, implementing DA for decisions in advanced cancer is challenging. This study focuses on perspectives of oncologists and other healthcare providers on the hindering and facilitating factors for implementing a customizable DA.

User profiles in digitalized healthcare: active, potential, and rejecting - a cross-sectional study using latent class analysis.

Background: There is evidence of different use by different groups of people for general health-related applications. Yet, these findings are lacking for digitalized healthcare services. It is also unclear whether typical use patterns can be found and how user types can be characterized.

Ethical conflicts in patient care situations of community pharmacists: a cross-sectional online survey.

Background: Community pharmacy practice is rarely considered in ethical research, although various ethical conflicts are known for this setting. Data on the actual frequency and perceived burden of ethical conflicts occurring in the community pharmacy setting are required.

Aim: The survey aimed at investigating the frequency and perceived burden of ethical conflicts, reasons for the perceived burden and influences on decision-making in ethical conflicts in German community pharmacists.

[Subjective Health Impairment And Associated Factors In The Heatwave Of Summer 2022: An Online Survey].

Background: Heatwaves might diminish the sense of well-being and are associated with increased mortality. Individual measures to protect against heat are often insufficient, with the perception of one's own risk playing a crucial role. Due to varying levels of vulnerability, it is expected that the perception differs among populations.

Physicians' Attitudes Towards Artificial Intelligence: Results of the PEAK Project.

Artificial intelligence (AI) is rapidly reshaping the medical field. This study aimed to investigate the attitudes of physicians towards AI in medical care using focus groups. Most participants seemed to be open to the use of AI in medicine if transparency in AI systems is ensured, regulatory barriers are addressed and personal contact to the patient is maintained.