Lisa A S Walker1, David Marino2, Jason A Berard1, Anthony Feinstein3, Sarah A Morrow4, Denis Cousineau5. 1. 1Ottawa Hospital Research Institute,Ottawa,Ontario,Canada. 2. 5Department of Psychology,University of Toledo,Toledo,Ohio,USA. 3. 6Sunnybrook Health Sciences Centre and University of Toronto,Toronto,Ontario,Canada. 4. 7London Health Sciences Centre and Western University,London,Ontario,Canada. 5. 3School of Psychology,University of Ottawa,Ottawa,Ontario,Canada.
Abstract
OBJECTIVE: The Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS) is a consensus-based collection of neuropsychological tests that evaluate cognitive functioning in individuals with multiple sclerosis (MS). The tests are typically scored using each respective published test manual, leaving the examiner to make interpretations from norms derived from different American populations. Given demographic differences, this may lead to misinterpretation of findings in Canadians. Our goal was to establish both discrete and regression-based normative data for the MACFIMS based on a largely co-normed Canadian population to allow for improved psychometric interpretation. METHODS: MACFIMS data sets were aggregated from across three different Canadian cities (Ottawa, Toronto, and London), yielding a total of 330 healthy control participants from four different studies evaluating cognition in individuals with MS. Given the variety of contributing studies, there was variability in terms of the number of participants completing each measure. RESULTS: Both age-based discrete normative data and demographically adjusted (sex, age, and education) regression-based formulae were established. The demographic variables varied in their contribution to each MACFIMS test in the regression models, predicting 0 to 18% of the variance. CONCLUSIONS: Provision of these regression-based formulae will allow for more accurate interpretation of Canadian-derived MACFIMS scores by allowing clinicians to correct for all relevant demographic variables simultaneously, leading to improved clinical decision making for individuals with multiple sclerosis.
OBJECTIVE: The Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS) is a consensus-based collection of neuropsychological tests that evaluate cognitive functioning in individuals with multiple sclerosis (MS). The tests are typically scored using each respective published test manual, leaving the examiner to make interpretations from norms derived from different American populations. Given demographic differences, this may lead to misinterpretation of findings in Canadians. Our goal was to establish both discrete and regression-based normative data for the MACFIMS based on a largely co-normed Canadian population to allow for improved psychometric interpretation. METHODS: MACFIMS data sets were aggregated from across three different Canadian cities (Ottawa, Toronto, and London), yielding a total of 330 healthy control participants from four different studies evaluating cognition in individuals with MS. Given the variety of contributing studies, there was variability in terms of the number of participants completing each measure. RESULTS: Both age-based discrete normative data and demographically adjusted (sex, age, and education) regression-based formulae were established. The demographic variables varied in their contribution to each MACFIMS test in the regression models, predicting 0 to 18% of the variance. CONCLUSIONS: Provision of these regression-based formulae will allow for more accurate interpretation of Canadian-derived MACFIMS scores by allowing clinicians to correct for all relevant demographic variables simultaneously, leading to improved clinical decision making for individuals with multiple sclerosis.
Authors: Sebastian Harenberg; Jennifer St Onge; Jill Robinson; Omorowa Eguakun; Anthony Feinstein; Kim Dorsch; Rumit Singh Kakar; Raghig Abdulhakim; Zia Rehman; Melad Shawush; Vinesh Pillay Journal: Int J MS Care Date: 2020-10-16
Authors: John G Hanly; Alexandra Legge; Lyna Kamintsky; Alon Friedman; Javeria A Hashmi; Steven D Beyea; John Fisk; Antonina Omisade; Cynthia Calkin; Tim Bardouille; Chris Bowen; Kara Matheson; Marvin J Fritzler Journal: Lupus Sci Med Date: 2022-06
Authors: Ruth Ann Marrie; Ronak Patel; Charles N Bernstein; James M Bolton; Lesley A Graff; James J Marriott; Carol A Hitchon; Chase R Figley; Jennifer Kornelsen; John D Fisk Journal: Mult Scler Date: 2020-09-25 Impact factor: 6.312