BackgroundThe Uganda version of Pediatric Evaluation of Disability Inventory (PEDI-UG) was culturally adapted and validated from the PEDI-US, a tool used to evaluate the functional capability of children with or without disability aged 6 months to 7.5 years in the areas of self-care, mobility and social domains. A group of Ugandan occupational therapists with experience of using PEDI-UG participated in this study to explore the question: What do Ugandan occupational therapists say about the utility and value of the PEDI-UG for children with disabilities?MethodsA qualitative research design was chosen to explore the participants' viewpoints concerning the utility and value of the PEDI-UG for children with disabilities. Purposive sampling was used to recruit health professionals for the focus group discussions. Focus group discussions were carried out with 18 occupational therapists and nurses. Thematic analysis was performed to establish patterns and themes.ResultsSeveral challenges concerning the contextual use of PEDI-UG were reported. For example, PEDI-UG being culturally adapted in two languages (English and Luganda) makes it difficult for health professionals to use it for children whose caregivers are non-English or non-Luganda speakers. In addition, participants reported adapting the way they asked the assessment questions, struggling with how they interpreted the scores and observing the child's skills if required during PEDI-UG interviews with caregivers.ConclusionsThe findings of this study suggest that health professionals are challenged with the use of the PEDI-UG assessment in diverse cultural contexts and/or languages. These challenges are important considerations for the PEDI-UG translation in different Uganda cultural languages and training health professionals on the use and value of PEDI-UG for children with disabilities.
BackgroundThe Uganda version of Pediatric Evaluation of Disability Inventory (PEDI-UG) was culturally adapted and validated from the PEDI-US, a tool used to evaluate the functional capability of children with or without disability aged 6 months to 7.5 years in the areas of self-care, mobility and social domains. A group of Ugandan occupational therapists with experience of using PEDI-UG participated in this study to explore the question: What do Ugandan occupational therapists say about the utility and value of the PEDI-UG for children with disabilities?MethodsA qualitative research design was chosen to explore the participants' viewpoints concerning the utility and value of the PEDI-UG for children with disabilities. Purposive sampling was used to recruit health professionals for the focus group discussions. Focus group discussions were carried out with 18 occupational therapists and nurses. Thematic analysis was performed to establish patterns and themes.ResultsSeveral challenges concerning the contextual use of PEDI-UG were reported. For example, PEDI-UG being culturally adapted in two languages (English and Luganda) makes it difficult for health professionals to use it for children whose caregivers are non-English or non-Luganda speakers. In addition, participants reported adapting the way they asked the assessment questions, struggling with how they interpreted the scores and observing the child's skills if required during PEDI-UG interviews with caregivers.ConclusionsThe findings of this study suggest that health professionals are challenged with the use of the PEDI-UG assessment in diverse cultural contexts and/or languages. These challenges are important considerations for the PEDI-UG translation in different Uganda cultural languages and training health professionals on the use and value of PEDI-UG for children with disabilities.
Traffic accidents are a severe public health problem worldwide, accounting for approximately 1.35 million deaths annually. Besides the loss of life, the social costs (accidents, congestion, and environmental damage) are significant. In the Netherlands, in 2018, these social costs were approximately € 28 billion, in which traffic accidents alone accounted for € 17 billion. Experts believe that Automated Driving Systems (ADS) can significantly reduce these traffic fatalities and injuries. For this reason, the European Union mandates several ADS in new vehicles from 2022 onwards. However, the utility of ADS still proves to present difficulties, and their acceptance among drivers is generally low. As of now, ADS only supports drivers within their pre-defined safety and comfort margins without considering individual drivers’ preferences, limiting ADS in behaving and interacting naturally with drivers and other road users. Thereby, drivers are susceptible to distraction (when out-of-the-loop), cannot monitor the traffic environment nor supervise the ADS adequately. These aspects induce the gap between drivers and ADS, raising doubts about ADS’ usefulness among drivers and, subsequently, affecting ADS acceptance and usage by drivers. To resolve this issue, the HUBRIS Phase-2 consortium of expert academic and industry partners aims at developing a self-learning high-level control system, namely, Human Counterpart, to bridge the gap between drivers and ADS. The central research question of this research is: How to develop and demonstrate a human counterpart system that can enable socially responsible human-like behaviour for automated driving systems? HUBRIS Phase-2 will result in the development of the human counterpart system to improve the trust and acceptance of drivers regarding ADS. In this RAAK-PRO project, the development of this system is validated in two use-cases: I. Highway: non-professional drivers; II. Distribution Centre: professional drivers.
Traffic accidents are a severe public health problem worldwide, accounting for approximately 1.35 million deaths annually. Besides the loss of life, the social costs (accidents, congestion, and environmental damage) are significant. In the Netherlands, in 2018, these social costs were approximately € 28 billion, in which traffic accidents alone accounted for € 17 billion. Experts believe that Automated Driving Systems (ADS) can significantly reduce these traffic fatalities and injuries. For this reason, the European Union mandates several ADS in new vehicles from 2022 onwards. However, the utility of ADS still proves to present difficulties, and their acceptance among drivers is generally low.As of now, ADS only supports drivers within their pre-defined safety and comfort margins without considering individual drivers’ preferences, limiting ADS in behaving and interacting naturally with drivers and other road users. Thereby, drivers are susceptible to distraction (when out-of-the-loop), cannot monitor the traffic environment nor supervise the ADS adequately. These aspects induce the gap between drivers and ADS, raising doubts about ADS’ usefulness among drivers and, subsequently, affecting ADS acceptance and usage by drivers.To resolve this issue, the HUBRIS Phase-2 consortium of expert academic and industry partners aims at developing a self-learning high-level control system, namely, Human Counterpart, to bridge the gap between drivers and ADS. The central research question of this research is:How to develop and demonstrate a human counterpart system that can enable socially responsible human-like behaviour for automated driving systems?HUBRIS Phase-2 will result in the development of the human counterpart system to improve the trust and acceptance of drivers regarding ADS. In this RAAK-PRO project, the development of this system is validated in two use-cases:I. Highway: non-professional drivers;II. Distribution Centre: professional drivers.Collaborative partners:Bielefeld University of Applied Sciences, Bricklog B.V., Goudappel B.V., HaskoningDHV Nederland B.V., Rhine-Waal University of Applied Sciences, Rijkswaterstaat, Saxion, Sencure B.V., Siemens Industry Software Netherlands B.V., Smits Opleidingen B.V., Stichting Innovatiecentrum Verkeer en Logistiek, TNO Den Haag, TU Delft, University of Twente, V-Tron B.V., XL Businesspark Twente.
The postdoc candidate, Sondos Saad, will strengthen connections between research groups Asset Management(AM), Data Science(DS) and Civil Engineering bachelor programme(CE) of HZ. The proposed research aims at deepening the knowledge about the complex multidisciplinary performance deterioration prediction of turbomachinery to optimize cleaning costs, decrease failure risk and promote the efficient use of water &energy resources. It targets the key challenges faced by industries, oil &gas refineries, utility companies in the adoption of circular maintenance. The study of AM is already part of CE curriculum, but the ambition of this postdoc is that also AM principles are applied and visible. Therefore, from the first year of the programme, the postdoc will develop an AM material science line and will facilitate applied research experiences for students, in collaboration with engineering companies, operation &maintenance contractors and governmental bodies. Consequently, a new generation of efficient sustainability sensitive civil engineers could be trained, as the labour market requires. The subject is broad and relevant for the future of our built environment being more sustainable with less CO2 footprint, with possible connections with other fields of study, such as Engineering, Economics &Chemistry. The project is also strongly contributing to the goals of the National Science Agenda(NWA), in themes of “Circulaire economie en grondstoffenefficiëntie”,”Meten en detecteren: altijd, alles en overall” &”Smart Industry”. The final products will be a framework for data-driven AM to determine and quantify key parameters of degradation in performance for predictive AM strategies, for the application as a diagnostic decision-support toolbox for optimizing cleaning &maintenance; a portfolio of applications &examples; and a new continuous learning line about AM within CE curriculum. The postdoc will be mentored and supervised by the Lector of AM research group and by the study programme coordinator(SPC). The personnel policy and job function series of HZ facilitates the development opportunity.
