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Updated: Jan 5, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Systematic review to inform the development of a community pharmacy-based intervention for people affected by
Eleanor Dann-Reed1, Fiona Poland2, David Wright1
1School of Pharmacy, University of East Anglia, Norwich, UK.
Objectives:
People living with dementia (PWD) frequently receive medicine regularly from their community pharmacy, thus providing an opportunity to address either directly or through a carer any unmet medicine-related needs. The aim of this systematic review was to identify, describe, and evaluate the quality of the research for dementia-specific pharmacy-based interventions with potential for delivery through community pharmacy. This would inform the design of future services and associated trials.
Key Findings:
The systematic review process identified 29 studies. Interventions were categorised as medication review, targeted medicine intervention, education, memory screening and miscellaneous. Five studies were set in community pharmacy. Interventions frequently targeted antipsychotics, benzodiazepines and anticholinergic medication. Twenty interventions were medicine-related. Eighteen studies were categorised as 'very low' quality, often due to small sample size.
Summary:
The review identified a range of interventions, which could be delivered through community pharmacy, and potentially benefit PWD. Developing appropriate and efficient training and working in multi-disciplinary teams were identified as necessary for effectiveness. Further research is needed to identify which service elements are likely to be acceptable to both patients and practitioners as well as the barriers and enablers to their implementation.
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