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
MULTIFILE
This conversation between Geert Lovink and Nikita Lin reflects upon our inner experiences within the global networked digital cultures. It explores the tactics, aesthetic and political, in response to the breakdowns brought by digital platforms and the possibility of creating new beginnings through persistent engagement in writing and publishing. Since 2004 Lovink is heading the Institute of Network Cultures at the Amsterdam University of Applied Sciences and is Art and Network Cultures Professor of Art and Network Cultures at University of Amsterdam’s Art History Department. The conversation takes as point of departure Lovink’s three recent books: Sad by Design: On Platform Nihilism, Stuck on the Platform: Reclaiming the Internet, and Extinction Internet: Our Inconvenient Truth Moment. Over the past 30 years, Lovink has been experimenting with the networks and the internet in his writing by developing a distinct style that dig into essays, interviews, aphorisms, sloganisms, and memes. This includes critical concepts that he has developed-such as ‘tactical media,’ ‘net criticism,' ‘sad by design,’ and ‘internet extinction’ – that people recognize, find useful and ready to apply to their own activities. For Geert Lovink, the fascinating question with writing is how to capture fast-changing real-time phenomena which means not only documenting but also leaving room for anticipation.
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.
