Development and Validation of Automatic Tools to Improve Adverse Drug Event Management in Hospitalised Older Patients

Diplôme Thèse Development and Validation of Automatic Tools to Improve Adverse Drug Event Management in Hospitalised Older Patients eng 2022-01-05 author Lisibach Angela Edith 893369 director Csajka Chantal 657943 10.13097/archive-ouverte/unige:161124 urn:nbn:ch:unige-1611246 Sc. Vie - Pharma. 139 This thesis aims to contribute to improving the management of adverse drug events of hospitalised older patients, especially for drugs with anticholinergic properties, by identifying risk factors to develop and validate automatic prediction models. The thesis consists of four subprojects (Chapters II to IV) and is framed by a general introduction (Chapter I) and an overall discussion, conclusion and outlook (Chapter V). In the first subproject, we identified all published scales that score drugs from 0 to 3 depending on their anticholinergic activity. Further, we assessed their quality and impact on clinical outcomes. In the next projects, we used data from patients’ electronic health records from a Swiss tertiary teaching hospital to evaluate the association of all published scales with in-hospital mortality, length of stay and delirium during hospitalisation. Finally, we developed and validated prediction models to study their potential usefulness in clinics for tailored decision-making. Dewey 615 31 Section des sciences pharmaceutiques 17 false fc619e05-7904-4a93-bf6e-c9a0fbfa17ad Thesis Public Manusskript_FINAL_ARCHIVE.pdf 14435546 application/pdf openAccess Faculté des sciences / Section des sciences pharmaceutiques

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Development and Validation of Automatic Tools to Improve Adverse Drug Event Management in Hospitalised Older Patients				2022	466	498

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Lisibach, Angela Edith