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Updated: Nov 12, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Screening for mild cognitive impairment among older Albanian patients by clinical pharmacists
Klejda Harasani1, Delina Xhafaj1, Adrisa Lekaj1
1Department of Pharmacy, Faculty of Medicine, University of Medicine of Tirana, Tirana, Albania.
Objectives:
To assess the prevalence of mild cognitive impairment (MCI) and its correlated factors among elderly Albanian patients using different screening tools applied by clinical pharmacists.
Methods:
Patients aged 60 years old or more from two primary care centers located in two Albanian cities were included in the study. Two clinical pharmacists applied the MoCA/MoCA B (Montreal Cognitive Assessment/Basic) and the Mini-Cog in Albanian. A predictive multivariate logistic regression analysis and Kappa statistic were conducted.
Key Findings:
The prevalence of MCI using MoCA/MoCA B and Mini-Cog scales was 75.73 and 20.39%, respectively. There was a poor degree of agreement between them (Kappa 2.38). Older men had an increased risk of MCI.
Conclusions:
The involvement of clinical pharmacists in screening for MCI might help in selecting vulnerable individuals for more specialized examination. The MoCA/MoCA B tool is recommended for higher sensitivity.
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