An effective implementation approach is crucial for successful integration of structured risk assessment instruments into practice. This qualitative study explored barriers and facilitators to the implementation of the Short-Term Assessment of Risk and Treatability: Adolescent Version (START:AV) in a Dutch residential youth care service. Perceptions of staff members from various disciplines were gathered through focus group interviews at three consecutive occasions. After inductive coding of the interview extracts using thematic analysis, the identified codes were linked to the consolidated framework for implementation research. Through this framework, factors that influence an implementation project can be organized into multiple domains and constructs. In the present study, staff members described implementation barriers related to characteristics of the risk assessment instrument, staff, and the implementation process. In addition, features of the setting were frequently mentioned as hindering the implementation, such as hierarchy, culture, communication, as well as implementation climate and readiness for change. Staff members also identified multiple facilitators, such as experienced advantages of the START:AV compared to the previous risk assessment practice and positive beliefs about the instrument. The article concludes with recommendations for successful implementation of structured risk assessment instruments in forensic-clinical practice.
An effective implementation approach is crucial for successful integration of structured risk assessment instruments into practice. This qualitative study explored barriers and facilitators to the implementation of the Short-Term Assessment of Risk and Treatability: Adolescent Version (START:AV) in a Dutch residential youth care service. Perceptions of staff members from various disciplines were gathered through focus group interviews at three consecutive occasions. After inductive coding of the interview extracts using thematic analysis, the identified codes were linked to the consolidated framework for implementation research. Through this framework, factors that influence an implementation project can be organized into multiple domains and constructs. In the present study, staff members described implementation barriers related to characteristics of the risk assessment instrument, staff, and the implementation process. In addition, features of the setting were frequently mentioned as hindering the implementation, such as hierarchy, culture, communication, as well as implementation climate and readiness for change. Staff members also identified multiple facilitators, such as experienced advantages of the START:AV compared to the previous risk assessment practice and positive beliefs about the instrument. The article concludes with recommendations for successful implementation of structured risk assessment instruments in forensic-clinical practice.
Purpose: This study analyses how weather shocks influence agricultural entrepreneurs’ risk perception and how they manage these risks. It explores what risks agricultural entrepreneurs perceive as important, and how they face climate change and related weather shock risks compared to the multiple risks of the enterprise. Design/methodology: This paper uses qualitative data from several sources: eight semi-structured interviews with experts in agriculture, three focus groups with experts and entrepreneurs, and 32 semi-structured interviews with agricultural entrepreneurs. Findings: not published yet Originality and value: This study contributes to the literature about risk management by small- and medium-sized agricultural enterprises: it studies factors that shape perceptions about weather shocks and about climate change and how these perceptions affect actions to manage related risks, and it identifies factors that motivate agricultural entrepreneurs to adapt to climate change and changing weather shock risks. Practical implications can lay the foundation for concrete actions and policies to improve the resilience and sustainability of the sector, by adjusting risk management strategies, collaboration, knowledge sharing, and climate adaptation policy support.
Receiving the first “Rijbewijs” is always an exciting moment for any teenager, but, this also comes with considerable risks. In the Netherlands, the fatality rate of young novice drivers is five times higher than that of drivers between the ages of 30 and 59 years. These risks are mainly because of age-related factors and lack of experience which manifests in inadequate higher-order skills required for hazard perception and successful interventions to react to risks on the road. Although risk assessment and driving attitude is included in the drivers’ training and examination process, the accident statistics show that it only has limited influence on the development factors such as attitudes, motivations, lifestyles, self-assessment and risk acceptance that play a significant role in post-licensing driving. This negatively impacts traffic safety. “How could novice drivers receive critical feedback on their driving behaviour and traffic safety? ” is, therefore, an important question. Due to major advancements in domains such as ICT, sensors, big data, and Artificial Intelligence (AI), in-vehicle data is being extensively used for monitoring driver behaviour, driving style identification and driver modelling. However, use of such techniques in pre-license driver training and assessment has not been extensively explored. EIDETIC aims at developing a novel approach by fusing multiple data sources such as in-vehicle sensors/data (to trace the vehicle trajectory), eye-tracking glasses (to monitor viewing behaviour) and cameras (to monitor the surroundings) for providing quantifiable and understandable feedback to novice drivers. Furthermore, this new knowledge could also support driving instructors and examiners in ensuring safe drivers. This project will also generate necessary knowledge that would serve as a foundation for facilitating the transition to the training and assessment for drivers of automated vehicles.
Movebite aims to combat the issue of sedentary behavior prevalent among office workers. A recent report of the Nederlandse Sportraad reveal a concerning trend of increased sitting time among Dutch employees, leading to a myriad of musculoskeletal discomforts and significant health costs for employers due to increased sick leave. Recognizing the critical importance of addressing prolonged sitting in the workplace, Movebite has developed an innovative concept leveraging cutting-edge technology to provide a solution. The Movebite app seamlessly integrates into workplace platforms such as Microsoft Teams and Slack, offering a user-friendly interface to incorporate movement into their daily routines. Through scalable AI coaching and real-time movement feedback, Movebite assists individuals in scheduling and implementing active micro-breaks throughout the workday, thereby mitigating the adverse effects of sedentary behavior. In collaboration with the Avans research group Equal Chance on Healthy Choices, Movebite conducts user-centered testing to refine its offerings and ensure maximum efficacy. This includes testing initiatives at sports events, where the diverse crowd provides invaluable feedback to fine-tune the app's features and user experience. The testing process encompasses both quantitative and qualitative approaches based on the Health Belief Model. Through digital questionnaires, Movebite aims to gauge users' perceptions of sitting as a health threat and the potential benefits of using the app to alleviate associated risks. Additionally, semi-structured interviews delve deeper into user experiences, providing qualitative insights into the app's usability, look, and feel. By this, Movebite aims to not only understand the factors influencing adoption but also to tailor its interventions effectively. Ultimately, the goal is to create an environment encouraging individuals to embrace physical activity in small, manageable increments, thereby fostering long-term engagement promoting overall well-being.Through continuous innovation and collaboration with research partners, Movebite remains committed to empowering individuals to lead healthier, more active lifestyles, one micro-break at a time.
This project researches risk perceptions about data, technology, and digital transformation in society and how to build trust between organisations and users to ensure sustainable data ecologies. The aim is to understand the user role in a tech-driven environment and her perception of the resulting relationships with organisations that offer data-driven services/products. The discourse on digital transformation is productive but does not truly address the user’s attitudes and awareness (Kitchin 2014). Companies are not aware enough of the potential accidents and resulting loss of trust that undermine data ecologies and, consequently, forfeit their beneficial potential. Facebook’s Cambridge Analytica-situation, for instance, led to 42% of US adults deleting their accounts and the company losing billions. Social, political, and economic interactions are increasingly digitalised, which comes with hands-on benefits but also challenges privacy, individual well-being and a fair society. User awareness of organisational practices is of heightened importance, as vulnerabilities for users equal vulnerabilities for data ecologies. Without transparency and a new “social contract” for a digital society, problems are inevitable. Recurring scandals about data leaks and biased algorithms are just two examples that illustrate the urgency of this research. Properly informing users about an organisation’s data policies makes a crucial difference (Accenture 2018) and for them to develop sustainable business models, organisations need to understand what users expect and how to communicate with them. This research project tackles this issue head-on. First, a deeper understanding of users’ risk perception is needed to formulate concrete policy recommendations aiming to educate and build trust. Second, insights about users’ perceptions will inform guidelines. Through empirical research on framing in the data discourse, user types, and trends in organisational practice, the project develops concrete advice - for users and practitioners alike - on building sustainable relationships in a resilient digital society.
