Evidence map›Paper›PMID 40833335›Full record

ArticleGlobal health action2025

Feasibility and priority strategies for diabetes prevention and control in Chinese demonstration areas.

Jing Li, Jing Yang, Jiayu Feng, Xiaohui Xu, Tingling Xu, Maigeng Zhou, Wenlan Dong, Yanbo Zhang

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Article in Global health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jing LiDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Jinzhong, China.
Jing YangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jiayu FengDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Jinzhong, China.
Xiaohui XuDepartment for Chronic and Non-communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Shandong, China.
Tingling XuNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Maigeng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Wenlan DongNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yanbo ZhangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Jinzhong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is a leading global public health challenge with 537 million cases worldwide in 2021 and significant economic and societal burdens. Despite global initiatives, feasibility constraints limit widespread implementation of diabetes prevention/control measures. The key to facilitating the implementation of diabetes prevention and control measures lies in prioritise them.

objectivesThis study aimed to determine the priority of diabetes prevention and control measures in China from the feasibility perspective.

methodsFrom January to February 2021, an online survey was administered to professionals specifically responsible for implementing chronic disease prevention and control programs in 488 national demonstration areas in China. The survey assessed the importance and feasibility of 44 diabetes prevention and control measures across 10 dimensions. The Importance-Performance Analysis (IPA) model categorized these indicators into four quadrants: Highest Priority (high importance and feasibility), Priority Improvement (high importance, low feasibility), Lowest Priority (low importance and feasibility), and Secondary Improvement (low importance, high feasibility).

resultsQuadrant 1 ('Highest Priority') included health education, community action, high-risk discovery and intervention, and medical insurance and family doctors, which should be maintained and strengthened. Quadrant 2 ('Priority Improvement') included patient management and complication screening, necessitating targeted efforts to enhance implementation. Quadrant 3 ('Lowest Priority') included personal health services assessment follow-up, environmental support, sugar reduction policy, and diabetes co-infection prevention, indicating a risk of overinvestment. No indicators were categorized into Quadrant 4 ('Secondary Priority').

conclusionsPrioritizing diabetes prevention and control measures based on feasibility maximizes the utilization of limited resources, providing implementable recommendations for policymakers.

Indexed as

Diabetes MellitusHealth PrioritiesChinaEast Asian PeopleFeasibility StudiesHumansSurveys and Questionnaireschronic disease preventionhealth policy evaluationimplementation scienceImportance-Performance Analysispriority setting

Identifiers

PMID40833335
PMCPMC12372481

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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.