The model of the Best Practice Unit (BPU) is a specific form of practice based research. It is a variation of the Community of Practice (CoP) as developed by Wenger, McDermott and Snyder (2002) with the specific aim to innovate a professional practice by combining learning, development and research. We have applied the model over the past 10 years in the domain of care and social welfare in the Netherlands. Characteristics of the model are: the interaction between individual and collective learning processes, the development of (new or better) working methods, and the implementation of these methods in daily practice. Multiple knowledge sources are being used: experiential knowledge, professional knowledge and scientific knowledge. Research is serving diverse purposes: articulating tacit knowledge, documenting the learning and innovation process, systematically describing the revealed or developed ways of working, and evaluating the efficacy of new methods. An analysis of 10 different research projects shows that the BPU is an effective model.
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To promote workplace learning for staff as well as students, a partnership was formed between a residential care organisation for older people and several nursing faculties in the Netherlands. This partnership took the form of two care innovation units; wards where qualified staff, students and nurse teachers collaborate to integrate care, education, innovation and research. In this article, the care innovation units as learning environments are studied from a student perspective to deepen understandings concerning the conditions that facilitate learning. A secondary analysis of focus groups, held with 216 nursing students over a period of five years, revealed that students are satisfied about the units' learning potential, which is formed by various interrelated and self-reinforcing affordances: co-constructive learning and working, challenging situations and activities, being given responsibility and independence, and supportive and recognisable learning structures. Time constraints had a negative impact on the units' learning potential. It is concluded that the learning potential of the care innovation units was enhanced by realising certain conditions, like learning structures and activities. The learning potential was also influenced, however, by the non-controllable and dynamic interaction of various elements within the context. Suggestions for practice and further research are offered.
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A B S T R A C T Background: Approximately 4 years ago a new concept of learning in practice called the ‘Learning and Innovation Network (LIN)’ was introduced in The Netherlands. To develop a definition of the LIN, to identify working elements of the LIN in order to provide a preliminary framework for evaluation, a concept analysis was conducted. Method: For the concept analysis, we adopted the method of Walker and Avant. We searched for relevant publications in the EBSCO host portal, grey literature and snowball searches, as well as Google internet searches and dictionary consults. Results: Compared to other forms of workplace learning, the LIN is in the centre of the research, education and practice triangle. The most important attributes of the LIN are social learning, innovation, daily practice, reflection and co-production. Often described antecedents are societal developments, such as increasing complexity of work, and time and space to learn. Frequently identified consequences are an attractive workplace, advancements of expertise of care professionals, innovations that endorse daily practice, improvement of quality of care and the integration of education and practice. Conclusions: Based on the results of the concept analysis, we describe the LIN as ‘a group of care professionals, students and an education representatives who come together in clinical practice and are all part of a learning and innovation community in nursing. They work together on practice-based projects in which they combine best practices, research evidence and client perspectives in order to innovate and improve quality of care and in which an integration of education, research and practice takes place’. We transferred the outcomes of the concept analysis to an input-throughput-output model that can be used as a preliminary framework for future research.
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The promotor was Prof. Erik Jan Hultink and copromotors Dr Ellis van den Hende en Dr R. van der Lugt. The title of this dissertation is Armchair travelling the innovation journey. ‘Armchair travelling’ is an expression for travelling to another place, in the comfort of one’s own place. ‘The innovation journey’ is the metaphor Van de Ven and colleagues (1999) have used for travelling the uncharted river of innovation, the highly unpredictable and uncontrollable process of innovation. This research study began with a brief remark from an innovation project leader who sighed after a long and rough journey: ‘had I known this ahead of time…’. From wondering ‘what could he have known ahead of time?’ the immediate question arose: how do such innovation journeys develop? How do other innovation project leaders lead the innovation journey? And could I find examples of studies about these experiences from an innovation project leader’s perspective that could have helped the sighing innovation project leader to have known at least some of the challenges ahead of time? This dissertation is the result of that quest, as we do know relatively little how this process of the innovation project leader unfolds over time. The aim of this study is to increase our understanding of how innovation project leaders lead their innovation journeys over time, and to capture those experiences that could be a source for others to learn from and to be better prepared. This research project takes a process approach. Such an approach is different from a variance study. Process thinking takes into account how and why things – people, organizations, strategies, environments – change, act and evolve over time, expressed by Andrew Pettigrew (1992, p.10) as catching “reality in flight”.
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Background: The transformation in global demography and the shortage of health care workers require innovation and efficiency in the field of health care. Digital technology can help improve the efficiency of health care. The Mercury Advance SMARTcare solution is an example of digital technology. The system is connected to a hybrid mattress and is able to detect patient movement, based on which the air pump either starts automatically or sends a notification to the app. Barriers to the adoption of the system are unknown, and it is unclear if the solution will be able to support health care workers in their work. Objective: This study aims to gain insight into health care workers’ expectations of factors that could either hamper or support the adoption of the Mercury Advance SMARTcare unit connected to a Mercury Advance mattress to help prevent patients from developing pressure injuries in hospitals and long-term care facilities. Methods: We conducted a generic qualitative study from February to December 2022. Interviews were conducted, and a focus group was established using an interview guide of health care workers from both the United Kingdom and the Netherlands. Thematic analysis was performed by 2 independent researchers. Results: A total of 14 participants took part in the study: 6 (43%) participants joined the focus group, and 8 (57%) participants took part in the individual interviews. We identified 13 factors based on four themes: (1) factors specifically related to SMARTresponse, (2) vision on innovation, (3) match with health care activities, and (4) materials and resources involved. Signaling function, SMARTresponse as prevention, patient category, representatives, and implementation strategy were identified as facilitators. Perception of patient repositioning, accessibility to pressure injury aids, and connectivity were identified as barriers. Conclusions: Several conditions must be met to enhance the adoption of the Mercury Advance SMARTcare solution, including the engagement of representatives during training and a reliable wireless network. The identified factors can be used to facilitate the implementation process. JMIR Nursing 2024;7:e47992
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Background: On two Care Innovation Units in the Netherlands, staff, students and Lecturer Practitioners work intensively together to provide care, create a rich learning environment, and to foster innovation and research. In striving to advance the quality of care and to develop person centred cultures a preference is given to participative forms of research in which diverse experiences and different types of knowledge are valued. Aims and Objectives: The research described here had two overarching aims: the improvement of practice situations and the encouragement of the integration of work and learning. This article focuses on our actions and learning with respect to fostering participation during this project. Design and methods: Within the action research methodology used, participative work-forms and research methods were chosen. For example, a responsive approach to evaluation of practice, use of narratives and the stimulation and use of creativity to help in exploring and sharing feelings, values and different forms of knowledge. In this article we use Arnstein's ladder of citizen participation to frame our reflection on enabling participation within this project. Results Participation took various forms and vacillated throughout the project. In addition to particular facilitation strategies, four factors emerged as influential in enabling or inhibiting aspects of participation among stakeholders: individual motivations and interests, the make-up of and atmosphere within the group, and the time made available to engage in research activities. Conclusions Participation in research is both more complex and dynamic than Arnstein's typology suggests. Moving 'up' the ladder may not be appropriate as a goal in and of itself. Instead, meeting and responding to each other's situations, as stakeholders, seems a more appropriate focus. Taking responsibility, as facilitator, for certain research activities, can free other participants to focus on elements which interest them and from which they derive satisfaction.
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Diaries have been used regularly in various intensive care units (ICUs) in international settings. Hard copy diaries written by relatives became impractical during the COVID-19 pandemic due to ICU visiting restrictions and infection control considerations. The implementation of a web based application, named the “Post-ICU” diary, offered relatives the ability to collaboratively write in a digital diary, to easily upload photos, video and audio clips and to feel engaged with the patient at a safe distance. In addition it allowed nurses to easily provide up-to-date information. The aim of this pilot study was to explore the experiences of ICU nurses with the implementation process and application of the Post-ICU diary.
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The Best Practice Unit (BPU) model constitutes a unique form of practice-based research. A variant of the Community of Practice model developed by Wenger, McDermott and Snyder (2002), the BPU has the specific aim of improving professional practice by combining innovation and research. The model is used as a way of working by a group of professionals, researchers and other relevant individuals, who over a period of one to two years, work together towards a desired improvement. The model is characterized by interaction between individual and collective learning processes, the development of new or improved working methods, and the implementation of these methods in daily practice. Multiple knowledge resources are used, including experiential knowledge, professional knowledge and scientific knowledge. The research serves diverse purposes: articulating tacit knowledge, documenting learning and innovation processes, systematically describing the working methods that have been revealed or developed, and evaluating the efficacy of the new methods. Each BPU is supported by a facilitator, whose main task is to optimize learning processes. An analysis of ten different BPUs in different professional fields shows that this is a successful model. The article describes the methodology and results of this study.
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Research into workplace mentoring is principally focussed on predictors and psychosocial and instrumental outcomes, while there is scarcely any in‐depth research into relational characteristics, outcomes and processes. This article aims to illustrate these relational aspects. It reports a co‐constructed auto‐ethnography of a dyadic mentoring relationship as experienced by mentor and protégé. The co‐constructed narrative illustrates that attentiveness towards each other and a caring attitude, alongside learning‐focussed values, promote a high‐quality mentoring relationship. This relationship is characterised, among other things, by person centredness, care, trust and mutual influence, thereby offering a situation in which mutual learning and growth can occur. Learning develops through and in relation and is enhanced when both planned and unplanned learning takes place. In addition, the narrative makes clear that learning and growth of both those involved are intertwined and interdependent and that mutual learning and growth enrich and strengthen the relationship. It is concluded that the narrative illustrates a number of complex relational processes that are difficult to elucidate in quantitative studies and theoretical constructs. It offers deeper insight into the initiation and improvement of high‐quality mentoring relationships and emphasises the importance of further research into relational processes in mentoring relationships.
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Business is changing from an industrial- to a knowledge-based environment, building more from professionals and their expertise. Corporations need to create internal organizations in which there is more emphasis on human capital and creating/sharing knowledge and talents. Talent management and knowledge creation should be new foci to create sustainability and long-term success. On the whole, organisations are working too much on an ad hoc basis, focusing on technology instead of creating an environment in which talents reinforce each other. In this review article we explore knowledge circulation, link knowledge, and talent to innovation, and discuss optimum circumstances for corporations to benefit from these assets.
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