Research Advisor: Dr. France Légaré, MD, PhD, Professor, Canada Research Chair in Shared Decision Making and Knowledge Translation.
Department of Social and Preventive Medicine, Faculty of Medicine, Université Laval
Visiting researcher (2016-2018), IQ Healthcare, Radboud University Medical Center, Nijmegen, The Netherlands
Visiting researcher (2016-2018), department of Public Health and Primary care (PHEG), Leiden University Medical Center, The Netherlands
PhD in the fields of Shared Decision Making and Gynecology, Leiden University, the Netherlands (2014)
Master’s degree in Epidemiology (Council of the Netherlands Epidemiological Society), the Netherlands (2014)
Master’s degree in Health Sciences, VU University, Amsterdam, the Netherlands (2009)
Bachelor’s degree in Health Sciences, VU University, Amsterdam, the Netherlands (2008)
- Improving Cognitive and jOint health Network (ICON). Helping seniors decide how to stay Independent at home: preparing to launch an online tool (SPINACH 2.0). Principal investigator. Budget: 25,000$ (May 2017).
- CHU de Québec research center, 500$ travel grant to disseminate results of research conducted at the Axe Santé des populations et pratique optimales en santé SP-POS (February 2017).
- Canadian Institute for Health Research (CIHR), travel grant (accommodation and course registration) to participate to the 2016 TVN Summer program in Aging, May 10-15, Toronto, Canada.
- January 2015 - Improving Cognitive and jolnt helath Network (ICON), SPINACH-project: SubPortIng seNiors And Caregivers to stay mobile at Home. Principal Investigators. (Budget: 19,974.50$)
- 2015 - Postdoctoral Fellowship, CIHR (3 years, 40,000$ + 5,000$ every year)
- 2015 - Postdoctoral Fellowship, FRQ-S (2 years, 30,000$)
- 2015- Travel awards, CIHR (1,500$)
- Shared Decision Making
- Patient's decision aid
- Knowledge transfer
- Interprofessional care
- Caregiver involvement in decision making
Scoping review DCS:
The Decisional Conflict Scale (DCS) was developed in 1995 by Annette O’Connor, to capture decisional conflict in terms of uncertainty related to decision making, as a measure of evaluation for decision support interventions such as patient decision aids (DAs). Since, it has been used in many studies including needs assessments, and development and evaluation of patient decision support interventions. The DCS is available in 4 different formats and validated in 7 different languages. The multitude of contexts, decision types and stages of decision making in which DCS is measured, as well as the many existing versions have created the need to explore 1) overall levels of decisional conflict and 2) how these vary across different clinical and decision contexts, different versions of the DCS, differing participant characteristics, stage of decision making, exposure to DESI’s and norms used, and 3) which of the before mentioned variables are associated with a change in DCS.
Incongruence explained: caregiver engagement and its influence on their different preferences for LOC compared to seniors. (in collaboration with the Leiden University Medical Center):
Secondary analysis of an existing database, with data from questionnaires of 3341 caregivers of the elderly in the Netherlands. We aim to assess factors that predict incongruence about LOC preferences, in order to identify future clinical situations in which the need for SDM is elevated. Additionally, we will assess factors that are associated with different preferences about the preferred LOC (which may be used in the future to initiate discussions about why people have different opinions about this), and factors that are associated with better caregiver involvement in decision making. Based on these factors we can inform and improve clinical practice. A scientific article on this project has been submitted.
Qualitative project on shared decision making in dementia care networks:
Secondary analysis of data that has been collected as part of a longitudinal study of decision making in dementia, in which three waves of interviews (n=285) were conducted with the members of dementia carenetworks (I.e. seniors with dementia, informal and formal caregivers). With this data we aim to explore LOC decision-making processes of caregivers, seniors and health professionals, their experiences and how contextual factors (e.g. policy, geography, culture, use of DSI, socio demographic and medical factors) may influence these.
The TVN project aims to improve the decision process about location of care with the frail elderly and their caregivers. A training program has been developed to teach doctors and interprofessional teams how to share decision-making with their frail elderly patients. This program was found effective in one Quebec City and one Edmonton home care team. In this project we will study whether the intervention is also effective on a broader scale; i.e. 16 home care teams attached to community health centres across the province of Quebec, and compare the results with what happens when no-one has done the training. Home care is a rapidly growing sector and this study will lay the foundations of a national strategy to improve the decision making process about potential transition to care facilities for aging Canadians.
Most seniors prefer to stay at home and live independently for as long as possible, even when they face a severe loss of mobility and need additional care. To provide older adults and their caregivers with options on how to keep mobile in their current residence, we aimed to develop and pilot test interactive, adaptable video vignettes. We sought to systematically develops videos that were intended to support seniors, caregivers and the heathcare team in deciding how a person can remain mobile at home, and include practical solutions from an interprofessional (IP) point of view.
With SPINACH 1.0 we have developed a video-based decision support module showing options for seniors wishing to stay independent at home for longer, and found that it was deemed acceptable and potentially helpful for all kinds of end-users (seniors, caregivers, health professionals). In SPINACH 2, we aim to finalize the module based on suggestions from users of SPINACH 1 (phase 1), and afterwards evaluate it feasibility and effectiveness (phase 2).