Rate My Professor Seyedehmona Aghdaee

Seyedehmona Aghdaee, known professionally as Mona Aghdaee, is a Doctor of Philosophy researcher at Macquarie Business School in the Business & Economics faculty at Macquarie University. She is a key member of the Macquarie University Centre for the Health Economy (MUCHE), where her work centers on health economics. Aghdaee's research addresses pivotal issues including the complexity and competing interests in financial decisions for older people entering nursing homes, the role of financial literacy in choices made by informal caregivers, the significance of refundable accommodation deposits in financing aged care capital expenditure, embedding greater value into mental health care funding and investment, patterns in health care use and intensity for diagnosed and undiagnosed cognitive impairment in older Australians, and the application of machine learning techniques to map non-preference-based patient-reported outcome measures onto EQ-5D utilities for use in economic evaluations. Earlier contributions include technical reports on refundable accommodation deposits for the Aged Care Financing Authority and outcomes-based commissioning for vulnerable older people.

Aghdaee has co-authored numerous peer-reviewed articles and reports, such as “Complexity and competing interests: what factors bear on payment choices and financial decisions made for older people entering nursing homes?” with Henry Cutler et al. (Applied Economics, 2025), “The role of financial literacy when informal caregivers make complex financial decisions” (Applied Economics, 2025), “The role of refundable accommodation deposits in financing aged care capital expenditure: views from the sector” (Australian Journal of Management, 2025), “Embedding greater value into mental health care” (commissioned report, Macquarie University, 2024), “Patterns in health care use and intensity for diagnosed and undiagnosed cognitive impairment in the older Australian community: implications for primary care management” with Anam Bilgrami et al. (SSM - Population Health, 2024), “Mapping the Patient-Reported Outcomes Measurement Information System (PROMIS-29) to EQ-5D-5L” (2022), and “An examination of machine learning to map non-preference based patient reported outcome measures to health state utility values” (2022). Her impactful research has received Macquarie Business School Research Impact Prizes in 2023, 2024, and 2025, and a Highly Commended Finalist award in 2025. These achievements have contributed to policy enhancements in Australian aged care systems, improved financial decision-making for elderly care, better primary care management for cognitive impairments, and more efficient mental healthcare investments, yielding health, economic, policy, and societal benefits.