Background: Due to multimorbidity and geriatric problems, older people often require both psychosocial and medical care. Collaboration between medical and social professionals is a prerequisite to deliver high-quality care for community-living older people. Effective, safe, and person-centered care relies on skilled interprofessional collaboration and practice. Little is known about interprofessional education to increase interprofessional collaboration in practice (IPCP) in the context of community care for older people. This study examines the feasibility of the implementation of an IPCP program in three community districts and determines its potential to increase interprofessional collaboration between primary healthcare professionals caring for older people. Method: A feasibility study was conducted to determine the acceptability and feasibility of data collection and analysis regarding interprofessional collaboration in network development. A questionnaire was used to measure the learning experience and the acquisition of knowledge and skills regarding the program. Network development was assessed by distributing a social network survey among professionals attending the program as well as professionals not attending the program at baseline and 5.5 months after. Network development was determined by calculating the number, reciprocity, value, and diversity of contacts between professionals using social network analysis. Results: The IPCP program was found to be instructive and the knowledge and skills gained were applicable in practice. Social network analysis was feasible to conduct and revealed a spill-over effect regarding network development. Program participants, as well as non-program participants, had larger, more reciprocal, and more diverse interprofessional networks than they did before the program. Conclusions: This study showed the feasibility of implementing an IPCP program in terms of acceptability, feasibility of data collection, and social network analysis to measure network development, and indicated potential to increase interprofessional collaboration between primary healthcare professionals. Both program participants and non-program participants developed a larger, more collaborative, and diverse interprofessional network.
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Objectives Most complex healthcare interventions target a network of healthcare professionals. Social network analysis (SNA) is a powerful technique to study how social relationships within a network are established and evolve. We identified in which phases of complex healthcare intervention research SNA is used and the value of SNA for developing and evaluating complex healthcare interventions. Methods A scoping review was conducted using the Arksey and O’Malley methodological framework. We included complex healthcare intervention studies using SNA to identify the study characteristics,level of complexity of the healthcare interventions, reported strengths and limitations, and reported implications of SNA. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews 2018 was used to guide the reporting. Results Among 2466 identified studies, 40 studies were selected for analysis. At first, the results showed that SNA seems underused in evaluating complex intervention research. Second, SNA was not used in the development phase of the included studies. Third, the reported implications in the evaluation and implementation phase reflect the value of SNA in addressing the implementation and population complexity. Fourth, pathway complexity and contextual complexity of the included interventions were unclear or unable to access. Fifth, the use of a mixed methods approach was reported as a strength, as the combination and integration of a quantitative and qualitative method clearly establishes the results. Conclusion SNA is a widely applicable method that can be used in different phases of complex intervention research. SNA can be of value to disentangle and address the level of complexity of complex healthcare interventions. Furthermore, the routine use of SNA within a mixed method approach could yield actionable insights that would be useful in the transactional context of complex interventions.
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In most models on terrorism, interaction with other radicals is a key factor. However, systematic empirical evidence that radical ties affect behaviour is scarce. Our access to detailed police information allows us to apply Social Network Analysis (SNA) on a Dutch Salafi-Jihadi network and analyse the social relationships and network positions of 80 actors, out of whom 20 turned to terrorist acts. The results suggest that ties to leaders and terrorist offenders, co-attendance of radicalising settings and greater structural embeddedness relate to the likelihood of individual actors turning to acts of terrorism. However, we also find some individual attributes that may offer competing explanations. In this paper we discuss our findings and address how future research may provide further insights into an important issue for agencies involved in countering terrorism: which radical actors, if any, are more likely to turn to acts of terrorism?
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This paper focuses on the topical and problematic area of social innovations. The aim of this paper is to develop an original approach to the allocation of social innovations, taking into account characteristics such as the degree of state participation, the scope of application, the type of initiations as well as the degree of novelty, which will be elaborated on further in this article. In order to achieve this goal, the forty-two most successful social innovations were identified and systematized. The results of this study demonstrated that 73.5% of social innovations are privately funded, most of them operating on an international level with a high degree of novelty. Moreover, 81% of all social innovations are civic initiatives. Social innovations play an important role in the growth of both developed and less developed countries alike as highlighted in our extensive analysis
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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 workshop aims to understand how a living lab network structures contribute to system innovation. Living labs as system innovation initiatives can substantially alter established network structures. Moreover, structures can undergo alterations through subtle interventions, with impact on the overall outcomes of living labs. To understand how such change occurs, we develop a multilevel network perspective to study collaborations toward system innovation. We take this perspective to help understand living lab dynamics, drawing on innovative examples and taking into consideration the multilayered structures that the collaboration comprises.
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When it comes to hard to solve problems, the significance of situational knowledge construction and network coordination must not be underrated. Professional deliberation is directed toward understanding, acting and analysis. We need smart and flexible ways to direct systems information from practice to network reflection, and to guide results from network consultation to practice. This article presents a case study proposal, as follow-up to a recent dissertation about online simulation gaming for youth care network exchange (Van Haaster, 2014).
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The Annual Conference on the Human Factor in Cybercrime is a small and specialised scientific event that aims to bring together scholars from around the world to present their research advances to a select audience. Its dynamic and linear format favours group discussions since all contributions are heard by all the attendants. This, together with its tailored social scheme, promotes interaction between members, which—in turn—leads to new collaborations. However, it has not yet been analysed whether the design of the conference actually encourages varied participation and fosters collaborative networks among its participants. The purpose of this chapter is to assess participation in the 2018 and 2019 editions to determine whether this is the case. Using descriptive analyses, here we show how participation in the conference has varied and examine the composition of the collaboration networks among the participants. The results show an increased and more diverse participation in the 2019 meeting along with a greater presence of stakeholders. Furthermore, the findings reveal that members of previously established organisations play an important role in cohering the network. Yet few connections exist between academia and practice. A further analysis of the strengths and weaknesses identified in the two editions of the conference serves to elaborate a series of recommendations for future editions.
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In many fields within management and organizational literature there is considerable debate and controversy about key theoretical concepts and their definitions and meanings. Systematic metaphor analysis can be a useful approach to study the underlying conceptualizations that give rise to these controversies and putting them in perspective. It can help identify the different ways a theoretical concept is structured and given meaning, provide insight into the way these different conceptualizations relate to each other, and show how these conceptualizations impact further theorization about the concept. This article describes the procedure for a systematic analysis of the metaphors used to conceptualize key theoretical concepts. To examine its usefulness, the authors apply the approach to the field of social capital, and in particular to the concept of ‘relationships’ in organizations. In the metaphor analysis of three seminal articles on social capital, the authors identify seven metaphoric concepts for relationships. The metaphors are illuminated as important for providing imagery that adds specific meaning in the process of authors theorizing about social capital like ‘tie’, ‘path’ and ‘bridge’. They add dynamics and controllability to the concepts by attributing an array of verbs like ‘to move between’ or ‘to use’ relationships. In addition, the metaphors allow for the attribution of specific characteristics to the concept of relationships that can be used as variables in theory construction, such as the strength of a relationship or the ‘distance’ between people. These insights are useful in exploring and reconciling differences in social capital definitions.
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Abstract: The typical structure of the healthcare sector involves (specialist) intertwined practices co-occurring in formal or informal networks. These practices must answer to the concerns and needs of all related stakeholders. Multimorbidity and the need to share knowledge for scientific development are among the driving factors for collaboration in healthcare. To establish and keep up a permanent collaborative link, it takes effort and understanding of the network characteristics that must be governed. It is not hard to find practices of Network Governance (NG) in a variety of industries. Still, there is a lack of insight in this subject, including knowledge on how to establish and maintain an effective healthcare network. Consequently, this study's research question is: How is network governance organized in the healthcare sector? A systematic literature study was performed to select 80 NG articles. Based on these publications the characteristics of NG are made explicit. The findings demonstrate that combinations of governance style (relational versus contractual governance) and governance structure (lead versus shared governance) lead to different network dynamics. Furthermore, the results show that in order to comprehend how networks in the healthcare sector emerge and can be regulated, it is vital to understand the current network type. Additionally, it informs us of the governing factors. Zie https://www.hbo-kennisbank.nl/details/sharekit_han:oai:surfsharekit.nl:e4f8fa3a-4af8-42ef-b2dd-c86d77b4cec6
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