Related Experiment Video
Updated: Aug 6, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Mini-Mental State Examination: psychometric characteristics in elderly outpatients]
Roberto A Lourenço1, Renato P Veras
1Departamento de Medicina Interna, Faculdade de Ciências Médicas, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brasil.
The Mini-Mental State Examination
Area of Science:
- Geriatric Medicine
- Neuropsychology
- Psychometrics
Context:
- Primary healthcare settings serve a large elderly population.
- Cognitive impairment screening is crucial for timely intervention.
- The Mini-Mental State Examination (MMSE) is widely used for cognitive assessment.
Purpose:
- To evaluate the psychometric properties of the MMSE in elderly primary care outpatients.
- To determine optimal cutoff points for dementia screening in this population.
- To investigate the influence of educational background on MMSE performance.
Summary:
- The study assessed the Mini-Mental State Examination (MMSE) in 303 elderly outpatients.
- Sensitivity, specificity, and predictive values were calculated, with an overall area under the ROC curve of 0.807.
- Optimal MMSE cutoff points varied significantly based on literacy, highlighting the need for tailored thresholds.
Impact:
- Findings emphasize the importance of considering educational level when interpreting MMSE scores in elderly individuals.
- This research can inform clinical practice for more accurate dementia screening in primary care.
- Optimized MMSE use can lead to earlier diagnosis and management of cognitive decline.
More Related Videos
06:58Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
Published on: January 24, 2020
06:23The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
Published on: October 13, 2016
Related Concept Videos
Self-Report Tests of Personality
Binet's Contribution to Measures of Intelligence