Evidence map›Paper›PMID 40217164›Full record

ArticleBMC geriatrics2025

Determinants influencing the implementation of community health management for cognitive impairment: a qualitative study.

Dongsheng Bian, Weiwei Zhang, Chenhao Yu, Xiao Han, Bu Zhao, Pairizati Abulikemu, Chenshu Shi, Yihui Wang, Guohong Li

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dongsheng Bian *Department of Clinical Nutrition, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weiwei Zhang *Discipline Planning Department, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chenhao YuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao HanSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bu ZhaoSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Pairizati AbulikemuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chenshu ShiSchool of Global Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. shihchenshu@hotmail.com.
Yihui WangDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. wangyihui581@163.com.
Guohong LiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. guohongli@sjtu.edu.cn.

Funding

Shanghai Municipal Health Commission GWVI-11.1-48
6 · The paper itself

Abstract

backgroundCognitive impairment constitutes a significant global public health challenge, particularly for countries or regions experiencing the largest increases in aging populations. Most countries have reached a consensus that cognitive impairment screening, care, and intervention should be conducted within community settings.

objectiveTo identify multilevel barriers and facilitators for community health management for cognitive impairment, this study utilized the Consolidated Framework for Implementation Research (CFIR) to systematically evaluate the implementation of strategies for managing cognitive impairment in Shanghai, China.

methodsA semi-structured interview guide was developed based on the CFIR. Purposeful sampling was used to select 14 stakeholders from diverse sectors, including public health authorities, community health service centers, and experts in health management related to cognitive impairment, for semi-structured interviews. CFIR served as the coding framework for inductive analysis to identify and clarify the facilitators and barriers to cognitive impairment health management within the existing policy environment.

resultsQualitative interviews with stakeholders in community-based cognitive impairment health management revealed eight facilitators and ten barriers. The facilitators included enhanced social engagement for older adults, efficient digital tools, a supportive policy environment, adequate funding, integration into basic public health services, sufficient community human resources, supportive internal and external teams, and health education. Collectively, these factors fostered a conducive environment for effective cognitive impairment health management. In contrast, the identified barriers comprised a lack of validation for smart tools, absence of collaborative mechanisms, insufficient incentives for primary care physicians (PCPs), a lack of long-term mechanisms, inadequate professional expertise, low energy levels, limited training channels, insufficient disease awareness among older adults, absence of standardized implementation plans, and superficial work practices. These barriers hindered the effective execution of community-based cognitive impairment health management strategies.

conclusionThis study identified the primary facilitators and barriers to community-based cognitive impairment management within the context of current policies. To enhance the effectiveness of interventions, policymakers, health departments, and community organizations should actively address the identified barriers and leverage the facilitators. Additionally, the findings provide valuable insights for other countries facing similar challenges in cognitive impairment management. Future research should focus on integrating these factors into practical applications and evaluating the effectiveness of such interventions. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Cognitive DysfunctionCommunity Health ServicesQualitative ResearchAgedChinaFemaleHumansMaleCFIRCognitive impairmentCommunityOlder adultsQualitative study

Identifiers

PMID40217164
PMCPMC11987299

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.