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Updated: Aug 28, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Challenges in detecting and managing mild cognitive impairment in primary care: a focus group study in Shanghai,
Yuan Lu1,2, Chaojie Liu3, Yvonne Wells4
1Department of General Practice, Tongji University Affiliated Yangpu Hospital, Shanghai, China.
Introduction:
Detection of mild cognitive impairment (MCI) is essential in slowing progression to dementia. Primary care plays a vital role in detecting and managing MCI. The chronic care model (CCM) provides effective methods to manage chronic diseases.
Objective:
This study aimed to explore how MCI services are delivered in primary care in China.
Methods:
Focus group interviews were conducted face to face among MCI stakeholders from six community health centres (CHCs) involved in the 'friendly community programme' in Shanghai, China. A total of 124 MCI stakeholders were interviewed, consisting of 6 groups (n=42) of general practitioners (GPs), 3 groups (n=18) of CHC managers, 4 groups (n=32) of people with MCI and 4 groups (n=32) of informal caregivers. Content and thematic analyses were performed using a combination of induction and deduction approaches.
Results:
Three major themes emerged from the data corresponding to the CCM framework: hesitant patients, unprepared providers and misaligned environments. While the public are hesitant to seek medical attention for MCI problems, due to misunderstanding, social stigma and a lack of perceived benefits, GPs and CHCs are not well prepared either, due to lack of knowledge and a shortage of GPs, and a lack of policy, funding and information support. None of these issues can be addressed separately without tackling the others.
Conclusion:
This study combined the diverse perceptions of all the main stakeholders to detect and manage MCI in primary care settings in China. A vicious circle was found among the three interconnected CCM domains, creating a gridlock that should be addressed through a system's approach targeting all of the above-mentioned aspects.
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