Personalised approaches to reduce risks from Adverse Drug Reactions due to administration of multiple medications

Expected Outcome: This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination “Ensuring equal access to innovative, sustainable, and high-quality healthcare”. To that end, proposals under this topic should aim to deliver results that are directed at, tailored towards and contributing to all the following expected outcomes: Patients benefit from decreased incidence of Adverse Drug Reactions (ADRs) caused by the administration of multiple medications (three or more medicinal products[1]) and enhanced health outcomes by ensuring safer and more effective use of medication. Healthcare professionals can adopt adverse drug reactions prevention and reduction strategies to integrate genetic and other biomarker information into clinical decision-making to optimise the use of medication, especially in situations of comorbidities. Healthcare systems benefit from cost savings thanks to reduced hospital admissions and other costs associated with ADRs related to the intake of multiple medicines. Clinical and regulatory guidelines and policies for medication management in case of multiple medications can be revised supported by robust evidence. Educational programs for healthcare providers and patients benefit from improved awareness and management of polypharmacy and ADRs. Scope: While medicinal products contribute considerably to the health of EU citizens, they can also have adverse reactions. It is estimated that around 5% of all hospital deaths are due to an adverse drug reaction. On average, 16% of hospitalised older[2] patients experience significant ADRs, varying in severity and mostly preventable, with commonly prescribed drug classes (such as diuretics, anti-bacterials, antithrombotic agents, analgesics, antineoplastics, etc.) accounting for most ADRs[3]. Overall, ADRs increase morbidity, mortality, hospitalisations, and healthcare costs. ADRs from multiple medications contribute significantly to healthcare costs due to increased hospitalisations and treatments, making this an area of focus to achieve cost efficiency. Initial failure to recognise ADRs can generate inappropriate prescription cascades, in which the side effects of drugs are misdiagnosed as symptoms of new problems, resulting in further prescriptions and further side effects that tend to accumulate, confusing and complicating the diagnostic while aggravating the evolution. Therefore, there is a distinct need for research to help identify and prevent such prescription cascades, possibly by maximising the use of technology, as well as to improve multiple drug management in order to reduce patient harm. Furthermore, it is also possible that aside from the ADRs specific to individual drugs taken in combination, new ADRs can emerge as results from the drug combinations themselves. Research activities under this topic should make use of the constantly improving health technologies and data analytics that provide new opportunities to address these issues more effectively, by better integrating medication management into healthcare practices, including into Electronic Health Records (EHR) and decision support systems. Identifying and validating relevant biomarkers for better patient stratification can contribute to significantly decreasing the risk of adverse drug reactions. Biomarkers can also help to detect adverse drug reactions early before occurrence of clinical symptoms and enable early countermeasures. Generating knowledge on the interaction and complexity of biochemical pathways can improve the understanding of patients' response to ADRs and thus provide better tailored treatments and early responses to adverse reactions. For this purpose, any biomedical strategy that allows a better stratification of patients to identify drug response patterns in well-defined patient groups could be used, including in-vitro or in-silico models for adverse drug reactions, imaging biomarkers, drug-drug/drug-gene/drug-food i... Source: EU Funding & Tenders Portal (CC BY 4.0).