Objective. The aim of this study was to explore perceived factors of influence on the implementation of Hospital in Motion, a multidimensional and multidisciplinary implementation project to improve inpatients’ movement behavior. Methods. This qualitative study was conducted on 4 wards. Per ward, a tailored action plan was implemented consisting of multiple tools and interventions to stimulate the integration of inpatient physical activity in usual care processes. After implementation, semi-structured interviews were performed with health care professionals and patients to explore perceived factors of influence on the implementation of the Hospital in Motion project. A content analysis was performed using the framework of the Medical Research Council for complex interventions as guidance for the identification of categories and themes. Results. In total, 16 interviews were conducted with health care professionals and 12 with patients. The results were categorized into the 3 key components of the Medical Research Council framework: implementation, mechanisms of impact, and context. An important factor of influence within the theme “implementation” was the iterative and multidisciplinary approach. Within the theme “mechanisms of impact,” continuous attention and the interaction of multiple interventions, tailored to the target group and targeting multiple dimensions (individual, inter-professional, community and society), were perceived as important. Within the theme “context,” the intrinsic motivation and inter-professional, community and societal culture towards physical activity was perceived to be of influence. Conclusion. Impact can be achieved and maintained by creating continuous attention to inpatient physical activity and by the interaction between different interventions and dimensions during implementation. To maintain enough focus, the amount of activities at one time should be limited. Impact. To improve inpatients’ movement behavior, implementation project teams should be multidisciplinary and should implement a small set of tailored interventions that target multiple dimensions. Intermediate evaluation of the implementation process, strategies, and interventions is recommended.
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Objective. The aim of this study was to explore perceived factors of influence on the implementation of Hospital in Motion, a multidimensional and multidisciplinary implementation project to improve inpatients’ movement behavior. Methods. This qualitative study was conducted on 4 wards. Per ward, a tailored action plan was implemented consisting of multiple tools and interventions to stimulate the integration of inpatient physical activity in usual care processes. After implementation, semi-structured interviews were performed with health care professionals and patients to explore perceived factors of influence on the implementation of the Hospital in Motion project. A content analysis was performed using the framework of the Medical Research Council for complex interventions as guidance for the identification of categories and themes. Results. In total, 16 interviews were conducted with health care professionals and 12 with patients. The results were categorized into the 3 key components of the Medical Research Council framework: implementation, mechanisms of impact, and context. An important factor of influence within the theme “implementation” was the iterative and multidisciplinary approach. Within the theme “mechanisms of impact,” continuous attention and the interaction of multiple interventions, tailored to the target group and targeting multiple dimensions (individual, inter-professional, community and society), were perceived as important. Within the theme “context,” the intrinsic motivation and inter-professional, community and societal culture towards physical activity was perceived to be of influence. Conclusion. Impact can be achieved and maintained by creating continuous attention to inpatient physical activity and by the interaction between different interventions and dimensions during implementation. To maintain enough focus, the amount of activities at one time should be limited. Impact. To improve inpatients’ movement behavior, implementation project teams should be multidisciplinary and should implement a small set of tailored interventions that target multiple dimensions. Intermediate evaluation of the implementation process, strategies, and interventions is recommended.
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Background: Although principles of the health promoting school (HPS) approach are followed worldwide, differences between countries in the implementation are reported. The aim of the current study was (1) to examine the implementation of the HPS approach in European countries in terms of different implementation indicators, that is, percentage of schools implementing the HPS approach, implementation of core components, and positioning on so‐called HPS‐related spectra, (2) to explore patterns of consistency between the implementation indicators across countries, and (3) to examine perceived barriers and facilitators to the implementation of the HPS approach across countries. Methods: This study analyzed data from a survey that was part of the Schools for Health in Europe network's Monitoring Task 2020. The survey was completed by HPS representatives of 24 network member countries. Results: Large variations exist in (the influencing factors for) the implementation of the HPS approach in European countries. Observed patterns show that countries with higher percentages of schools implementing the HPS approach also score higher on the implementation of the core components and, in terms of spectra, more toward implementing multiple HPS core components, add‐in strategies, action‐oriented research and national‐level driven dissemination. In each country a unique mix of barriers and facilitators was observed. Conclusion: Countries committed to implementing the HPS approach in as many schools as possible also seem to pay attention to the quality of implementation. For a complete and accurate measurement of implementation, the use of multiple implementation indicators is desirable.
In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
Today, embedded devices such as banking/transportation cards, car keys, and mobile phones use cryptographic techniques to protect personal information and communication. Such devices are increasingly becoming the targets of attacks trying to capture the underlying secret information, e.g., cryptographic keys. Attacks not targeting the cryptographic algorithm but its implementation are especially devastating and the best-known examples are so-called side-channel and fault injection attacks. Such attacks, often jointly coined as physical (implementation) attacks, are difficult to preclude and if the key (or other data) is recovered the device is useless. To mitigate such attacks, security evaluators use the same techniques as attackers and look for possible weaknesses in order to “fix” them before deployment. Unfortunately, the attackers’ resourcefulness on the one hand and usually a short amount of time the security evaluators have (and human errors factor) on the other hand, makes this not a fair race. Consequently, researchers are looking into possible ways of making security evaluations more reliable and faster. To that end, machine learning techniques showed to be a viable candidate although the challenge is far from solved. Our project aims at the development of automatic frameworks able to assess various potential side-channel and fault injection threats coming from diverse sources. Such systems will enable security evaluators, and above all companies producing chips for security applications, an option to find the potential weaknesses early and to assess the trade-off between making the product more secure versus making the product more implementation-friendly. To this end, we plan to use machine learning techniques coupled with novel techniques not explored before for side-channel and fault analysis. In addition, we will design new techniques specially tailored to improve the performance of this evaluation process. Our research fills the gap between what is known in academia on physical attacks and what is needed in the industry to prevent such attacks. In the end, once our frameworks become operational, they could be also a useful tool for mitigating other types of threats like ransomware or rootkits.
De mondgezondheid van te veel jonge kinderen in Nederland is slecht: tandbederf (cariës) komt vaak voor. Een deel van de kinderen bezoekt de mondzorgprofessional te laat. Om de mondgezondheid van deze kinderen te verbeteren is de interventie Gezonde Peutermonden ontwikkeld. Op consultatiebureaus zorgt een mondzorgcoach (mondzorgprofessional) voor coaching en begeleiding van ouders van jonge kinderen bij het aanleren van gezonde eet-/ en mondzorg gedrag. Het effect hiervan wordt momenteel in een ‘clinical trial’ getest. De tussentijdse resultaten zijn veelbelovend en de interventie heeft enthousiaste reacties opgeleverd. Terwijl een definitieve trialuitkomst op zich laat wachten, nemen mondzorgpraktijken het initiatief tot samenwerking met Jeugdgezondheidszorg. In de regio Heerlen en Tilburg, is vanwege een hoog percentage van kinderen met tandbederf, grote belangstelling en bereidheid van mondzorgprofessionals, gemeente, GGD en zorgverzekeraar om initiatief op te pakken. Zij vragen ons om hulp en ondersteuning bij interventie implementatie in hun regio. Naar aanleiding hiervan willen wij in samenwerking met deze partijen in beide regio’s de implementatie van Gezonde Peutermonden onderzoeken. Het doel daarbij is het krijgen van inzicht in de belemmerende en bevorderende factoren bij de implementatie van Gezonde Peutermonden. Zodoende wordt beoogd de ‘beste’ implementatiestrategieën te kunnen achterhalen. Door het verzamelen van kwantitatieve en kwalitatieve gegevens middels ‘mixed methods’ wordt de context in kaart gebracht, gericht op factoren binnen en buiten de organisatie, kenmerken van de doelgroep en de zorgverleners. Scholing, een ‘toolkit’ en voorlichtingsmateriaal worden ontwikkeld en beschikbaar gesteld aan mondzorgprofessionals. Proces- en effectuitkomsten worden gemeten, waartoe gegevens worden verzameld voor, tijdens en na de implementatie van de interventie. De vergaarde kennis over de implementatiestrategieën in de publieke gezondheidszorg en over kansen voor de preventieve mondzorginterventies buiten de mondzorgpraktijken is zeer relevant voor het werkveld en ook voor het onderwijs.
