Objectives: Goal setting and motivational interviewing (MI) may increase well-being by promoting healthy behavior. Since we failed to show improved well-being in a proactive assessment service for community-dwelling older adults applying these techniques, we studied whether implementation processes could explain this. Methods: Goals set during the comprehensive geriatric assessment were evaluated on their potential for behavior change. MI and goal setting adherence wasassessed by reviewing audiotaped interactions and interviewing care professionals. Results: Among the 280 goals set with 230 frail older adults (mean age 77 ± 6.9 years, 59% women), more than 90% had a low potential for behavior change. Quality thresholds for MI were reached in only one of the 11 interactions. Application was hindered by the context and the limited proficiency of care professionals. Discussion: Implementation was suboptimal for goal setting and MI. This decreased the potential for improved well-being in the participating older adults.
MULTIFILE
The boarding process of an aircraft is one of the identified bottlenecks in the turnaround when aircraft arrives to an airport.
Airports have undergone a significant digital evolution over the past decades, enhancing efficiency, effectiveness, and user-friendliness through various technological advancements. Initially, airports deployed basic IT solutions as support tools, but with the increasing integration of digital systems, understanding the detailed digital ecosystem behind airports has become crucial. This research aims to classify technological maturity in airports, using the access control process as an example to demonstrate the benefits of the proposed taxonomy. The study highlights the current digital ecosystem and its future trends and challenges, emphasizing the importance of distinguishing between different levels of technological maturity. The role of biometric technology in security access control is examined, highlighting the importance of proper identification and classification. Future research could explore data collection, privacy, and cybersecurity impacts, particularly regarding biometric technologies in Smart Access Level 4.0. The transition from Smart Access Level 3.0 to 4.0 involves process automation and the introduction of AI, offering opportunities to increase efficiency and improve detection capabilities through advanced data analytics. The study underscores the need for global legislative frameworks to regulate and support these technological advancements.
