Related Experiment Video
Updated: Jun 15, 2025
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Montreal Cognitive Assessment (MoCA) use in general practice for the early detection of cognitive impairment: a
Cassandre Carton1, Matthieu Calafiore1,2, Charles Cauet1
1District of General Medicine, Faculty of Medicine, University of Lille, Lille, France.
Background:
GPs can detect cognitive impairment (CI) at a very early stage, allowing early support for people and their caregivers. The early onset of CI is between 50 years and 60 years. Currently, in France, the Mini-Mental State Examination (MMSE) remains the most used screening test, although it has a lower sensitivity and specificity than the Montreal Cognitive Assessment (MoCA) for detecting mild CI, taking an average of 15 minutes to complete.
Aim:
To investigate the feasibility of the MoCA during routine consultations in general practice for the early detection of CI and to determine prevalence of CI in a primary care setting.
Design & Setting:
A quantitative, prospective feasibility study was carried out in real-life working conditions during routine GP consultations in France.
Method:
GPs performed MoCA on adults aged ≥50 years, without suspected or confirmed CI.
Results:
Sixty-one GPs performed 221 MoCA with a mean duration of 8 minutes and detected mild neurocognitive impairment in 62% of patients.
Conclusion:
The MoCA is feasible and easy to perform during routine consultations in general practice by trained and experienced physicians.
More Related Videos
Related Concept Videos
01:30Dementia
The progression of dementia is generally gradual....
01:30Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists
01:30Cognitive Development During Adulthood