Abstract Managing adverse drug reactions (ADRs) is a challenge, especially because most healthcare professionals are insufficiently trained for this task. Since context-based clinical pharmacovigilance training has proven effective, we assessed the feasibility and effect of a creating a team of Junior-Adverse Drug Event Managers (J-ADEMs). The J-ADEM team consisted of medical students (1st–6th year) tasked with managing and reporting ADRs in hospitalized patients. Feasibility was evaluated using questionnaires. Student competence in reporting ADRs was evaluated using a case-control design and questionnaires before and after J-ADEM program participation. From Augustus 2018 to Augustus 2019, 41 students participated in a J-ADEM team and screened 136 patients and submitted 65 ADRs reports to the Netherlands Pharmacovigilance Center Lareb. Almost all patients (n = 61) found it important that “their” ADR was reported, and all (n = 62) patients felt they were taken seriously by the J-ADEM team. Although attending physicians agreed that the ADRs should have been reported, they did not do so themselves mainly because of a “lack of knowledge and attitudes” (50%) and “excuses made by healthcare professionals” (49%). J-ADEM team students were significantly more competent than control students in managing ADRs and correctly applying all steps for diagnosing ADRs (control group 38.5% vs. intervention group 83.3%, p < 0.001). The J-ADEM team is a feasible approach for detecting and managing ADRs in hospital. Patients were satisfied with the care provided, physicians were supported in their ADR reporting obligations, and students acquired relevant basic and clinical pharmacovigilance skills and knowledge, making it a win-win-win intervention.
MULTIFILE
The Junior Adverse Drug Event Manager (J-ADEM) team is a multifaceted intervention focusing on real-life education for medical students that has been shown to assist healthcare professionals in managing and reporting suspected adverse drug reactions (ADRs) to the Netherlands Pharmacovigilance Centre Lareb. The aim of this study was to quantify and describe the ADRs reported by the J-ADEM team and to determine the clinical potential of this approach. The J-ADEM team consisted of medical students tasked with managing and reporting ADRs in hospitalized patients. All ADRs screened and reported by J-ADEM team were recorded anonymously, and categorized and analysed descriptively. From August 2018 through January 2020, 209 patients on two wards in an academic hospital were screened for ADR events. The J-ADEM team reported 101 ADRs. Although most ADRs (67%) were first identified by healthcare professionals and then reported by the J-ADEM team, the team also reported an additional 33 not previously identified serious ADRs. In 10% of all reported ADRs, the J-ADEM team helped optimize ADR treatment. The ADR reports were largely well-documented (78%), and ADRs were classified as type A (66%), had a moderate or severe severity (85%) and were predominantly avoidable reactions (69%). This study shows that medical students are able to screen patients for ADRs, can identify previously undetected ADRs and can help optimize ADR management. They significantly increased (by 300%) the number of ADR reports submitted, showing that the J-ADEM team can make a valuable clinical contribution to hospital care.
MULTIFILE
Massafabricage in de (MKB) maakindustrie is aan het veranderen in flexibele fabricage en assemblage van kleine series, klantspecifieke onderdelen en eindproducten. Hiervoor zijn nieuwe systemen voor het MKB nodig, waarin robots en mensen samen kunnen werken en die zich snel kunnen aanpassen aan nieuwe productieomstandigheden met lage opstartkosten. De ambitie van het project ?(G)een Moer Aan!? is om het herconfigureren van een robotsysteem voor een nieuwe taak in een productieomgeving net zo eenvoudig en snel te maken als het gebruik van een smartphone. Zo?n benadering biedt kansen om de skills van de operator te benutten. De operator kent immers zijn processen en de robot wordt zijn hulpje. Op vraag van betrokken mkb partners is de focus gelegd op een repeterende productiehandeling die in veel sectoren voorkomt en die relatief veel arbeidstijd kost: het indraaien van moeren en bouten in een object. De centrale onderzoeksvraag van het project luidt: Hoe kan een operator een robot eenvoudig, snel en veilig inleren om assemblage handelingen te verrichten voor het snel en robuust verbinden van bouten, moeren en ringen met objecten? Resultaat van dit praktijkgerichte onderzoeksproject is een algemeen bruikbare en gevalideerde ontwerpmethodiek voor de opzet van een gebruiksvriendelijke user interface van een boutmontagerobot op de werkvloer. Door slim gebruik van geïntegreerde inzet van CAD productinformatie, vision technologie en compliant (meegaand) gripping en placing wordt de robot zo veel als mogelijk vooraf automatisch geconfigureerd. Het projectconsortium dat het onderzoek gaat uitvoeren bestaat uit: " 13 bedrijven (12 mkb) actief als toeleverancier, system integrator of gebruiker op het terrein van industriële robotica (Yaskawa, ABB, Smart Robotics, Hupico, Festo, CSi, Demcon, Heemskerk Innovate, WWA, Van Schijndel Metaal, Van Beek, Tegema en Zest Innovate); " Hogescholen Fontys (penvoerder), Avans, Utrecht en NHL; " Kennisinstellingen TNO en DIFFER; " Coöperaties Brainport Industries, FEDA en Koninklijke Metaalunie; " De gemeente Eindhoven is betrokken als partner in de klankbordgroep. De gemeente ondersteunt het belang van dit project voor behoud en verbetering van arbeidsplaatsen in de maakindustrie. Er zullen circa 20 (docent)onderzoekers van de hogescholen en ongeveer 80 studenten betrokken worden bij dit project, die in de vorm van stages en afstudeeronderzoeken werken aan interessante vraagstukken direct afkomstig uit de beroepspraktijk. Naast genoemde meerwaarde voor het bedrijfsleven beoogt het project een verdere verankering van kennis en kunde in onderwijs en lectoraten en een vergroting van de kwaliteit van docenten en afstudeerders.
In this proposal, a consortium of knowledge institutes (wo, hbo) and industry aims to carry out the chemical re/upcycling of polyamides and polyurethanes by means of an ammonolysis, a depolymerisation reaction using ammonia (NH3). The products obtained are then purified from impurities and by-products, and in the case of polyurethanes, the amines obtained are reused for resynthesis of the polymer. In the depolymerisation of polyamides, the purified amides are converted to the corresponding amines by (in situ) hydrogenation or a Hofmann rearrangement, thereby forming new sources of amine. Alternatively, the amides are hydrolysed toward the corresponding carboxylic acids and reused in the repolymerisation towards polyamides. The above cycles are particularly suitable for end-of-life plastic streams from sorting installations that are not suitable for mechanical/chemical recycling. Any loss of material is compensated for by synthesis of amines from (mixtures of) end-of-life plastics and biomass (organic waste streams) and from end-of-life polyesters (ammonolysis). The ammonia required for depolymerisation can be synthesised from green hydrogen (Haber-Bosch process).By closing carbon cycles (high carbon efficiency) and supplementing the amines needed for the chain from biomass and end-of-life plastics, a significant CO2 saving is achieved as well as reduction in material input and waste. The research will focus on a number of specific industrially relevant cases/chains and will result in economically, ecologically (including safety) and socially acceptable routes for recycling polyamides and polyurethanes. Commercialisation of the results obtained are foreseen by the companies involved (a.o. Teijin and Covestro). Furthermore, as our project will result in a wide variety of new and drop-in (di)amines from sustainable sources, it will increase the attractiveness to use these sustainable monomers for currently prepared and new polyamides and polyurethanes. Also other market applications (pharma, fine chemicals, coatings, electronics, etc.) are foreseen for the sustainable amines synthesized within our proposition.
The focus of this project is on improving the resilience of hospitality Small and Medium Enterprises (SMEs) by enabling them to take advantage of digitalization tools and data analytics in particular. Hospitality SMEs play an important role in their local community but are vulnerable to shifts in demand. Due to a lack of resources (time, finance, and sometimes knowledge), they do not have sufficient access to data analytics tools that are typically available to larger organizations. The purpose of this project is therefore to develop a prototype infrastructure or ecosystem showcasing how Dutch hospitality SMEs can develop their data analytic capability in such a way that they increase their resilience to shifts in demand. The one year exploration period will be used to assess the feasibility of such an infrastructure and will address technological aspects (e.g. kind of technological platform), process aspects (e.g. prerequisites for collaboration such as confidentiality and safety of data), knowledge aspects (e.g. what knowledge of data analytics do SMEs need and through what medium), and organizational aspects (what kind of cooperation form is necessary and how should it be financed).