Complex eHealth interventions—featuring multiple components within dynamic systems—are used for healthcare improvement. Public–private partnerships (PPPs), combining resources, expertise, and technology, are crucial in this context. Yet, integrating these interventions into practice remains challenging. …

With the rising adoption of virtual reality (VR) in health care, research publications on the topic are increasing rapidly. Guidance on reporting VR interventions is limited, which risks misinterpretation of findings, inappropriate data synthesis in reviews and meta-analyses, and reduced reproducibility. …

Clinical Decision Support Systems (CDSS) are increasingly developed for hospital nursing practice, yet their impact on decision-making, workflow efficiency, and patient outcomes remains complex. This rapid review synthesizes findings from 21 studies, highlighting both the benefits and challenges of CDSS …

In 2016, a selective preventive spinal immobilization protocol for emergency medical service (EMS) nurses was introduced in the Netherlands. This protocol leaves more room for autonomous decision-making in the pre-hospital phase regarding preventive spinal immobilization (PSI), compared to the previous …

Introduction: Nursing education traditionally teaches skill acquisition in isolated practice drills and guided by step-by-step protocols. While these approaches may seem to provide a solid foundation, they do not adequately bridge the gap between a controlled learning environment and the reality of nursing …

Research shows that victimization rates in forensic mental health care are high for both female and male patients. However, gender differences have been found in types and patterns of victimization (more sexual abuse and more complex trauma for women), cognitive appraisal, and response to traumatic events. …

Background: As more and more older adults prefer to stay in their homes as they age, there’s a need for technology to support this. A relevant technology is Artificial Intelligence (AI)-driven lifestyle monitoring, utilizing data from sensors placed in the home. This technology is not intended to replace …

Clinical decision support systems (CDSSs) have gained prominence in health care, aiding professionals in decision-making and improving patient outcomes. While physicians often use CDSSs for diagnosis and treatment optimization, nurses rely on these systems for tasks such as patient monitoring, prioritization, …

Studies evaluating the effects of power training in older adults use a variety of measurement tools and outcome parameters, limiting comparability of results and calling the validity of conclusions into question. This study aimed to identify a core outcome set (COS) to measure the effects of power training …

The assessment of skeletal muscle volume is valuable for fundamental research and clinical practice, but remains limited in larger cohorts due to its time-consuming nature. Here, we developed a method to accurately estimate vastus lateralis (VL) muscle volume based on a single measurement of anatomical …