DUBOIS, Marie-France

Empowerment and environment research axis

Contact

819 780-2220 , 45638
819 821-8000 , 72572
Title

Associate Professor
Department of Community Health Sciences
Faculty of Medicine and Health Sciences
Université de Sherbrooke

Training

Ph.D. Clinical Sciences
M.Sc. Clinical Sciences
B.Sc. Applied Mathematics

Research Themes

Research Relevance

Prof. Dubois is interested in the application of quantitative research and statistical analysis methods to respond to population health issues, more specifically those related to aging. As a specialist both in research methodology and in statistical data analysis, she serves as a co-researcher, notably on large-scale research projects. Her interests focus primarily on the quality of care provided to older adults in residential care, consent to research by people who are incapable of giving consent, and the evaluation of integrated services networks in maintaining the independence of older adults living at home.

Representative Achievements

  • Significant contributions over the past 15 years to studies evaluating the quality of care provided to older persons who are lodged - in the public sector, in private residences, and in innovative alternatives to housing. Currently a co-investigator on a CIHR-funded study aimed at estimating the effect of certifying private seniors' residences on the quality of care provided.
  • Active collaboration, for over 10 years, in provincial, national, and international studies on substitute consent to care, and on research on older adults who are incapable of giving consent. Currently a co-investigator on a CIHR-funded randomized trial to promote advance directives.
  • Impact assessment of implementing an integrated health network for older adults with declining independence through a quasi-experimental, five-year longitudinal study.
  • Research projects on rehabilitation with various client groups, notably older adults who have difficulty washing themselves and those suffering from vision problems. Co-investigator on two CIHR-funded tele-rehabilitation efficacy studies, one on patients who have suffered a cerebrovascular accident (stroke), and another one on patients with chronic pulmonary obstructive disease (COPD).

Know-How

  • Quantitative research methods
  • Data analysis (multivariate analyses, survival analysis, hierarchical models, longitudinal data analysis or analysis of complex sampling plans.
  • Sampling strategies
  • Development and validation of measuring and screening instruments

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