DE-PRESCRIBING MEDICATIONS IN OLDER ADULTS WITH DEMENTIA
Dr Daniel Hoyle
Senior Lecturer, Therapeutics and Pharmacy Practice
School of Pharmacy and Pharmacology,
University of Tasmania, Australia
RESEARCHER PROFILE
Filmed in Hobart, Tasmania, Australia | January 2025
Dr. Daniel Hoyle is a Senior Lecturer in Therapeutics and Pharmacy Practice at the School of Pharmacy and Pharmacology, University of Tasmania. He is also an experienced clinical pharmacist with expertise in medication management in older people. Dr. Hoyle’s research interests focus on improving medicine use in older people with dementia.
He earned his PhD from the University of Tasmania in 2020, where his doctoral research examined the clinical and economic outcomes of psychotropic deprescribing within the multidisciplinary “Reducing Use of Sedatives” project implemented across 150 Australian aged care homes. This research has received several accolades, including First Place in the International Psychogeriatric Association Junior Research Awards in 2019.
Currently, Dr. Hoyle leads several projects, including research aimed at improving anticoagulant use in older individuals with dementia and atrial fibrillation using national primary care provider datasets, and the implementation of a hospital-based antipsychotic stewardship program for patients with dementia and/or delirium.
A current project is Geriatric Antipsychotic Stewardship (GApS) Program for Behavioural and Psychological Symptoms of Dementia and Delirium. This program is funded by the Royal Hobart Hospital Research Foundation through an Incubator Grant.
Additionally, Dr. Hoyle serves as an investigator within an educational intervention aimed at improving anticholinergic prescribing in hospitals. Dr. Hoyle is a guest editor with Pharmacy MDPI and holds elected positions on the Australian Deprescribing Network Executive Committee and the Pharmaceutical Society of Australia’s Tasmanian Branch Committee.
https://orcid.org/0000-0003-2867-3736
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Systems genetics to determine risk of developing diabetes complications
Professor Morahan invented the term “Systems Genetics” for the science field that examines how genetic variants can affect whole networks of genes and whole systems; there are now several laboratories and institutes of systems genetics around the world. He also developed the next-generation genetic resource, The Gene Mine, the most powerful of its type in the world, used globally in rapid mapping and identification of genes. Collaborators nationally and internationally have tested The Gene Mine for traits and diseases in which they specialise.
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Indigenous Australian health and ear disease
Professor Kelvin Kong feels incredibly fortunate to lead a fulfilling life surrounded by his loved ones. With a demonstrated history of service in the health industry, he brings a wealth of expertise across various sectors including clinical research, medical education, surgery, paediatrics, health policy, and Indigenous education. Kelvin started his university, residing at New College in 1992, which brings him fond memories. Graduating from medicine from the University of NSW, Kelvin continued his studies and became a fellow of the Royal Australasian College of Surgeons (RACS) and Australian Society of Otolaryngology, head & neck Society (ASOHNS).
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Big data research in maternal, perinatal and renal health epidemiology
Dr Erandi Hewawasam is a Research Fellow at the National Perinatal Epidemiology and Statistics Unit within the Centre for Big Data Research in Health at University of New South Wales (UNSW). Her work focuses on maternal and reproductive health, chronic diseases (e.g., kidney disease, endometriosis), and early-life outcomes. She is the Program Manager for the Fertility Medicine Data Asset for Australia (FM-DATA), an MRFF-funded national infrastructure project linking fertility, hospital, Medicare, pharmaceutical, and perinatal datasets covering more than 40 million individuals. She also coordinates the Early Life Course Platform, integrating around 20 New South Wales and Australian federal administrative datasets to support population health research.
