Educational technology has advanced tremendously in recent years, with several major developments becoming available in healthcare professionals’ education, including nursing. Furthermore, the COVID-19 pandemic resulted in obligatory physical distancing, which forced an accelerated digital transformation of teaching tools. This review aimed to summarize all the available digital tools for nursing undergraduate education developed from 2019 to 2023. A robust search algorithm was implemented in the Scopus database, resulting in 1592 publications. Overall, 266 relevant studies were identified enrolling more than 22,500 undergraduate nursing students. Upon excluding multiple publications on the same digital tool, studies were categorized into three broad groups: serious games (28.0%), gamified applications (34.5%), and VR simulations and other non-gamified digital interventions (37.5%). Digital tools’ learning activity type (categories = 8), geographical distribution (countries = 34), educational subjects (themes = 12), and inclusion within a curriculum course (n = 108), were also explored. Findings indicate that digital educational tools are an emerging field identified as a potential pedagogical strategy aiming to transform nursing education. This review highlights the latest advances in the field, providing useful insights that could inspire countries and universities which have not yet incorporated digital educational tools in their nursing curriculum, to invest in their implementation.

Interprofessional teamwork in health-care settings is considered a valuable means of enhancing patient management. Literature has highlighted the importance of trust in building effective health-care teams. The present study aimed to investigate and further understand the perceptions of health-care professionals regarding trust and performance within their working team, as well as to assess the association between them and team performance. “TRUST” questionnaire, a valid instrument for measuring the relationship of trust and team performance was distributed to the members of the perioperative teams located in two different hospitals (a University and a General Hospital) in Greece. Two multivariate linear regression models were developed to reveal the significant predictors of high performance per hospital. Among the major findings revealed were 1) trust and performance were closely related 2) slight yet significant variations were observed between the University and the General Hospital and 3) trust level, years of previous experience and number of team members were among the key predictors of effective team performance. This study conveys new knowledge on trust and performance within health-care settings with limited resources and is expected to guide future interventions aiming to enhance team performance.

This protocol describes FRESH AIR, an implementation science project exploring how to improve the prevention, diagnosis and treatment of chronic lung diseases in contexts with limited healthcare resources. It consists of inter-related studies that take place in four countries that are part of the International Primary Care Respiratory Group’s (IPCRG) global network: Uganda, the Kyrgyz Republic, Vietnam and Greece. The project has been funded by the European Commission Horizon 2020 research programme and runs from October 2015 until September 2018.

Despite several countrywide attempts to strengthen and standardise the primary healthcare (PHC) system, Greece is still lacking a sustainable, policy-based model of integrated services. The aim of our study was to identify operational integration levels through existing patient care pathways and to recommend an alternative PHC model for optimum integration. The study was part of a large state-funded project, which included 22 randomly selected PHC units located across two health regions of Greece. Dimensions of operational integration in PHC were selected based on the work of Kringos and colleagues. A five-point Likert-type scale, coupled with an algorithm, was used to capture and transform theoretical framework features into measurable attributes. PHC services were grouped under the main categories of chronic care, urgent/acute care, preventive care, and home care. A web-based platform was used to assess patient pathways, evaluate integration levels and propose improvement actions. Analysis relied on a comparison of actual pathways versus optimal, the latter ones having been identified through literature review. Overall integration varied among units. The majority (57%) of units corresponded to a basic level. Integration by type of PHC service ranged as follows: basic (86%) or poor (14%) for chronic care units, poor (78%) or basic (22%) for urgent/acute care units, basic (50%) for preventive care units, and partial or basic (50%) for home care units. The actual pathways across all four categories of PHC services differed from those captured in the optimum integration model. Certain similarities were observed in the operational flows between chronic care management and urgent/acute care management. Such similarities were present at the highest level of abstraction, but also in common steps along the operational flows. Existing patient care pathways were mapped and analysed, and recommendations for an optimum integration PHC model were made. The developed web platform, based on a strong theoretical framework, can serve as a robust integration evaluation tool. This could be a first step towards restructuring and improving PHC services within a financially restrained environment.