Sandra Magalhaes

Biography | Biographie

Dr. Sandra Magalhaes is a Research Associate at the University of New Brunswick affiliated with the New Brunswick Institute for Research, Data and Training and Department of Sociology. She completed her academic training in Epidemiology at McGill University and the University of Western Ontario. She is a population health researcher whose research uses population-level administrative data at NB-IRDT to inform on the health of New Brunswickers. Her research interests are in chronic disease epidemiology across the lifespan, with active research projects focusing in on pediatric and on aging populations. She is leading several research projects at NB-IRDT focused on frailty using administrative data. A manuscript describing prevalence of frailty in hospitalized older adults was recently accepted for publication in the Canadian Geriatrics Journal. Her team is currently validating existing algorithms to characterize frailty in administrative data using the Clinical Frailty Scale. She recently received funding from the UNB to help develop a more comprehensive frailty index suited for wide range of NB-IRDT data. Once this work to enhance the measurement of frailty is completed, her team will use the validated tools to examine frailty at time of admission to nursing homes in NB, as well as to understand frailty trajectories in community-dwelling older couples as they age.

Booth Summary | Sommaire de kiosque

New Brunswick affiliated with the New Brunswick Institute for Research, Data and Training

Population-based administrative data at NB-IRDT represents one avenue for developing a better understanding of frailty. Our recent publication in the Canadian Geriatrics Journal describes prevalence of frailty risk between 2017-2019, measured using the Hospital Frailty Risk Score (HFRS), in a sample of 50,000+ seniors to be 21.2% (95%CI: 20.9-21.6). We also presented a sub-study, using these data, at the 2021 Canadian Association on Gerontology meeting, examining relationship between frailty risk in community-dwelling older couples, which demonstrated a 23% increase in the odds of intermediate/high frailty risk in one partner if the other is also categorized as intermediate/high frailty risk (OR=1.23, 95%CI: 1.08-1.38). Several algorithms exist, including HFRS and the new CIHI hospital frailty risk measure. A next step is to evaluate validity relative to frailty indicators (e.g., Clinical Frailty Scale) using linked clinical data from Horizon Health and York Care Centre nursing home. We also have funding to develop analytical methods, using NB-IRDT data, to impute frailty risk for all NB seniors (i.e., those not hospitalized). We will undertake further research, including examining frailty risk at time of admission to long-term care in NB. Our research makes valuable contributions to enhancing knowledge of frailty at the population-level in NB.