Implementation of digital monitoring technology systems is considered beneficial for increasing the safety and quality of care for residents in nursing homes and simultaneously improving care providers’ workflow. Co-creation is a suitable approach for developing and implementing digital technologies and transforming the service accordingly. This study aimed to identify the facilitators and barriers for implementation of digital monitoring technology in residential care for persons with dementia and wandering behaviour, and explore co-creation as an implementation strategy and practice. In this longitudinal case study, we observed and elicited the experiences of care providers and healthcare managers in eight nursing homes, in addition to those of the information technology (IT) support services and technology vendors, during a four-year implementation process. We were guided by theories on innovation, implementation and learning, as well as co-creation and design. The data were analysed deductively using a determinants of innovation framework, followed by an inductive content analysis of interview and observation data. The implementation represented radical innovation and required far more resources than the incremental changes anticipated by the participants. Five categories of facilitators and barriers were identified, including several subcategories for each category: 1) Pre-implementation preparations; 2) Implementation strategy; 3) Technology stability and usability; 4) Building competence and organisational learning; and 5) Service transformation and quality management. The combination of IT infrastructure instability and the reluctance of the IT support service to contribute in co-creating value with the healthcare services was the most persistent barrier. Overall, the co-creation methodology was the most prominent facilitator, resulting in a safer night monitoring service. Successful implementation of novel digital monitoring technologies in the care service is a complex and time-consuming process and even more so when the technology allows care providers to radically transform clinical practices at the point of care, which offers new affordances in the co-creation of value with their residents. From a long-term perspective, the digital transformation of municipal healthcare services requires more advanced IT competence to be integrated directly into the management and provision of healthcare and value co-creation with service users and their relatives.
Background: The implementation of any technology in community health care is seen as a challenge. Similarly, the implementation of eHealth technology also has challenges, and many initiatives never fully reach their potential. In addition, the complexity of stakeholders complicates the situation further, since some are unused to cooperating and the form of cooperation is new. The paper’s aim is to give an overview of the stakeholders and the relationships and dependencies between them, with the goal of contributing this knowledge to future similar projects in a field seeing rapid development.Methods: In this longitudinal qualitative and interpretive study involving eight municipalities in Norway, we analysed how eHealth initiatives have proven difficult due to the complexity and lack of involvement and integration from stakeholders. As part of a larger project, this study draws on data from 20 interviews with employees on multiple levels, specifically, project managers and middle managers; healthcare providers and next of kin; and technology vendors and representatives of the municipal IT support services.Results: We identified the stakeholders involved in the implementation of eHealth community health care in the municipalities, then described and discussed the relationships among them. The identification of the various stakeholders illustrates the complexity of innovative implementation projects within the health care domain—in particular, community health care. Furthermore, we categorised the stakeholders along two dimensions (external–internal) and their degree of integration (core stakeholders, support stakeholders and peripheral stakeholders).Conclusions: Study findings deepen theoretical knowledge concerning stakeholders in eHealth technology implementation initiatives. Findings show that the number of stakeholders is high, and illustrate the complexity of stakeholders’ integration. Moreover, stakeholder integration in public community health care differs from a classical industrial stakeholder map in that the municipality is not just one stakeholder, but is instead comprised of many. These stakeholders are internal to the municipality but external to the focal actor, and this complicating factor influences their integration. Our findings also contribute to practice by highlighting how projects within the health care domain should identify and involve these stakeholders at an early stage. We also offer a model for use in this context.
Background: The COVID-19 pandemic necessitated a swift transition to e-learning, significantly impacting nursing education due to its reliance on practical, hands-on experiences and the critical role nurses play in healthcare. Nursing students need to achieve high levels of clinical competence through experiences traditionally obtained in clinical settings, which e-learning had to replicate or supplement. Understanding the unique challenges faced by nursing students in e-learning environments is crucial for developing educational strategies that enhance learning outcomes and contribute to improved patient care. This study aimed to explore the experiences of nursing students and newly qualified nurses (as students) with e-learning during the COVID-19 lockdown, focusing on how it influenced their learning and professional development. Method: This exploratory and descriptive study employed qualitative interviews with 31 participants, including full-time nursing students, part-time nursing students, and newly qualified nurses (as nursing students). Conducted online via Zoom during February and March 2022. Results: The findings suggest that integrating small group interactions and employing strategic pedagogical support can enhance e-learning effectiveness. However, barriers such as technological difficulties, psychological challenges, and social isolation were also identified. Understanding these unique opportunities and challenges can help educational institutions optimize e-learning strategies, ensuring nursing students are well-prepared for their crucial roles in healthcare. Conclusion: The rapid shift to e-learning due to the COVID-19 pandemic presented challenges such as technological, psychological and social aspects, but also opportunities to rethink and enhance nursing education delivery. Implementing appropriate pedagogical e-learning strategies, such as scaffolding and small group learning, can better prepare nursing students for their essential roles in healthcare. This study contributes to the body of knowledge on digital education and provides a foundation for future research aimed at optimizing e-learning in nursing education.
This study explores how tourism entrepreneurs change their business models during a crisis. By adopting dynamic capabilities as integral to business model change, this qualitative study explores how entrepreneurs change business models to meet a crisis, and proposes a taxonomy of important entrepreneurial practices underlying dynamic capabilities. This study empirically examines seven small companies operating in the nature-based tourism industry in Norway. Focusing on dynamic capabilities, whether innovative or adaptive, the findings suggest 12 dynamic capability-based entrepreneurial practices that are categorized as resource-, market, and technology-related practices. This study contributes to the literature by integrating business model innovation and dynamic capabilities in tourism crisis management.
27 July 2017 in International Journal of Innovation Management
Background: In Scandinavia, various public reforms are initiated to enhance trust in the healthcare services and the public sector in general. This study explores experiences from a two-step service innovation project in municipal home care in Norway, coined as the Trust Model (TM), aiming at developing an alternative to the purchaser-provider split (PPS) and enhancing employee motivation, user satisfaction, and citizen trust. The PPS has been the prevalent model in Norway since the 1990s. There is little empirical research on trust-based alternatives to the PPS in healthcare. The overall objectives of this study were to explore facilitators and barriers to trust-based service innovation of municipal homecare and to develop a framework for how to support the implementation of the TM.Methods: The TM elements were developed through a comprehensive participatory process, resulting in the decision to organize the home care service in small, self-managed and multidisciplinary teams, and trusting the teams with full responsibility for care decisions and delivery within a limited area. Through a longitudinal mixed methods case study design a) patients’ expressed values and b) factors facilitating or preventing the service innovation process were explored through two iterations. The first included three city districts, three teams and 80 patients. The second included four districts, eight teams and 160 patients.Results: The patient survey showed patients valued and trusted the service. The team member survey showed increased motivation for work aligned with TM principles. Both quantitative and qualitative methods revealed a series of facilitators and barriers to the innovation process on different organizational levels (teams, team leaders, system). The key message arising from the two iterations is to keep patients’ values in the centre and recognize the multilevelled organizational complexity of successful trust-based innovation in homecare. Synthesizing the results, a framework for how to support trust-based service innovation was constructed.Conclusions: Trust-based innovation of municipal homecare is feasible. The proposed framework may serve as a tool when planning trust-based innovation, and as a checklist for implementation and improvement strategies. Further research is needed to explore the validity of the framework and its replicability in other areas of healthcare.