Community detection and management of mild cognitive impairment in Shanghai: a mixed-methods study

Dementia has been regarded as a priority in public health for healthy ageing. Mild cognitive impairment (MCI) detection and management is one of the strategies to confront the challenge of increasing burden of dementia. However, MCI is not well recognized or managed in primary care. This study aimed to assess system barriers relating to MCI detection and management in the community. A mixed-methods study was undertaken over the period from October 2020 to October 2022. First, a focus group study (n = 124) in Shanghai explored the experiences of general practitioners (GPs), people with MCI and their informal caregivers, and community health managers using thematic analysis. This was followed by 2 rounds of national Delphi surveys among 22 eligible experts to solicit their consensus on the system conditions needed for community detection and management of MCI. A questionnaire survey based on the Delphi consultations was conducted with GPs (n = 1253) recruited from 56 community health centres (CHCs) in Shanghai to quantify their knowledge, attitudes, and practice (KAP) toward community detection and management of MCI and perceived system barriers. The results were mapped and triangulated in line with the chronic care model (CCM) and the health system building blocks articulated by the World Health Organization. Potential system barriers were identified from eight themes: (i) lack of self-management skills and enablement; (ii) lack of family support; (iii) lack of community support; (iv) unprepared healthcare system; (v) health service delivery deterrence; (vi) inadequate clinical decision support; (vii) lack of case management; and (viii) misaligned clinical information systems. The primary care system in Shanghai is not adequately equipped to handle the task of detecting and managing MCI. Both intrinsic and extrinsic obstacles impede the successful conversion of MCI knowledge into desired actions. A systems approach is needed to confront the challenge of MCI detection and management in China.

Authors

Institutions

Publication Details

Journal
Health Policy and Planning
Published
2025-04-24
DOI
https://doi.org/10.1093/heapol/czaf025
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Community detection and management of mild cognitive impairment in Shanghai: a mixed-methods study

Yvonne Wells, Chaojie Liu, Dehua Yu, Yuan Lü
Health Policy and Planning
Dementia and Cognitive Impairment Research
article

Community detection and management of mild cognitive impairment in Shanghai: a mixed-methods study

Yvonne Wells, Chaojie Liu, Dehua Yu, Yuan Lü
article en

Abstract

Dementia has been regarded as a priority in public health for healthy ageing. Mild cognitive impairment (MCI) detection and management is one of the strategies to confront the challenge of increasing burden of dementia. However, MCI is not well recognized or managed in primary care. This study aimed to assess system barriers relating to MCI detection and management in the community. A mixed-methods study was undertaken over the period from October 2020 to October 2022. First, a focus group study (n = 124) in Shanghai explored the experiences of general practitioners (GPs), people with MCI and their informal caregivers, and community health managers using thematic analysis. This was followed by 2 rounds of national Delphi surveys among 22 eligible experts to solicit their consensus on the system conditions needed for community detection and management of MCI. A questionnaire survey based on the Delphi consultations was conducted with GPs (n = 1253) recruited from 56 community health centres (CHCs) in Shanghai to quantify their knowledge, attitudes, and practice (KAP) toward community detection and management of MCI and perceived system barriers. The results were mapped and triangulated in line with the chronic care model (CCM) and the health system building blocks articulated by the World Health Organization. Potential system barriers were identified from eight themes: (i) lack of self-management skills and enablement; (ii) lack of family support; (iii) lack of community support; (iv) unprepared healthcare system; (v) health service delivery deterrence; (vi) inadequate clinical decision support; (vii) lack of case management; and (viii) misaligned clinical information systems. The primary care system in Shanghai is not adequately equipped to handle the task of detecting and managing MCI. Both intrinsic and extrinsic obstacles impede the successful conversion of MCI knowledge into desired actions. A systems approach is needed to confront the challenge of MCI detection and management in China.

Health Policy and PlanningVol. 40(6)
Tongji University (CN), La Trobe University (AU), Community Health Development (US), Development Research Center (CN), Yangpu Hospital of Tongji University (CN)
Openalex Percentile: Top 89%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.