A5101829589- Chronic Disease Management Strategies
- Diabetes Management and Education
- Clinical practice guidelines implementation
- Retinal Diseases and Treatments
- Mental Health and Patient Involvement
- Artificial Intelligence in Healthcare and Education
- Health Systems, Economic Evaluations, Quality of Life
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- Retinal Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Immune cells in cancer
- Healthcare innovation and challenges
- Primary Care and Health Outcomes
- Healthcare Systems and Practices
- Healthcare Systems and Public Health
- Lipoproteins and Cardiovascular Health
- Neuroinflammation and Neurodegeneration Mechanisms
- Diabetes Management and Research
- Glaucoma and retinal disorders
- Topic Modeling
- Diabetes, Cardiovascular Risks, and Lipoproteins
Shanghai Sixth People's Hospital
2019-2025
Shanghai Jiao Tong University
2019-2025
Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To facilitate the process, we develop a deep learning system, named DeepDR, that can detect early-to-late stages retinopathy. DeepDR is trained for real-time image quality assessment, lesion grading using 466,247 fundus images from 121,342 patients with diabetes. Evaluation performed on local dataset 200,136 52,004 three external datasets total 209,322 images. The area under receiver operating...
Abstract Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk DR progression highly variable among different individuals, making it difficult to predict and personalize screening intervals. We developed validated a deep learning system (DeepDR Plus) time within 5 years solely from fundus images. First, we used 717,308 images 179,327 participants with diabetes pretrain system. Subsequently, trained multiethnic dataset comprising 118,868 29,868 diabetes....
Diabetic retinopathy (DR) is the main cause of vision loss or blindness in working age adults worldwide. The lack effective diagnostic biomarkers for DR leads to unsatisfactory curative treatments. To define potential metabolite diagnosis, a multiplatform-based metabolomics study performed. In this study, total 905 subjects with diabetes without (NDR) and at different clinical stages are recruited. Multiplatform methods used characterize serum metabolic profiles screen validate biomarkers....
<p dir="ltr">Objective Evaluate effectiveness of community-based peer support for diabetes self-management with HbA1c and other clinical psychosocial outcomes over 24 months. Research design methods Intervention comparison 12 communities 4 Comparison matched according to location in urban or suburban areas. Community organization approach integrated standardization key messages patient education protocols, along adaptation innovation among multiple community partners. Primary outcome...
OBJECTIVE To evaluate the effectiveness of community-based peer support for diabetes self-management with HbA1c and other clinical psychosocial outcomes over 24 months. RESEARCH DESIGN AND METHODS This study used an intervention comparison design 12 communities 4 matched according to location in urban or suburban areas. A community organization approach was integrate standardization key messages patient education protocols, along adaptation innovation among multiple partners. The primary...
<p dir="ltr">Objective Evaluate effectiveness of community-based peer support for diabetes self-management with HbA1c and other clinical psychosocial outcomes over 24 months. Research design methods Intervention comparison 12 communities 4 Comparison matched according to location in urban or suburban areas. Community organization approach integrated standardization key messages patient education protocols, along adaptation innovation among multiple community partners. Primary outcome...
Abstract Identifying organizational settings for sustainable, scalable implementation of peer support (PS) is a challenge. Development, initial evaluation, and community expansion PS populations with diabetes staged in the context Shanghai Integration Model integrating primary specialty care diabetes. Development Phase 9 Community Health Centers (CHCs) leading to Expansion additional 12 communities. leaders (PLs) co-led meetings on management, led neighborhood activities, followed up...
To evaluate sustainability of peer support (PS) benefits in diabetes management.
Although there is broad evidence for the value of peer support (PS) in preventing and managing diabetes other chronic diseases, identifying approaches to stage, scale, adapt PS interventions a challenge. Community organization may provide process such adaptation standardized management individual communities. This community approach was used develop 12 communities Shanghai, China. Through convergent mixed methods design, project records, semi-structured interviews, an implementation...
《国家基层糖尿病防治管理指南（2018）》（《指南》）的适用对象为基层医疗卫生机构的医务人员。主要管理人群包括辖区内18岁及以上的成人2型糖尿病患者。《指南》对管理团队组建、基本设备配置、基本药物保障及服务要求4个方面提出了具体要求。指出基层医疗卫生机构应承担糖尿病的健康教育、筛查、诊断、治疗及长期随访管理工作，识别出不适合在基层诊治的糖尿病患者并及时转诊。管理的目标为血糖、血压、血脂综合控制达标，减少并发症的发生，降低致残率和早死率。.
Peer support (PS) is effective in promoting diabetes management, but needs pragmatic models for implementation. The Shanghai Integration Model links specialty/hospital care with primary Community Health Centers (CHCs), providing an organizational base PS. This study reports formative evaluation, implementation and effectiveness of PS within the model. intervention emphasizes diet, physical activity, insulin/medication use addresses barriers to management quality life. Formative evaluation (3...
为了解社区糖尿病患者自我管理影响因素及同伴支持模式推广的可行性，本研究通过个人深入访谈，由培训后的调查员对社区糖尿病管理医护人员及糖尿病患者进行访谈，并采用主题框架分析法进行资料分析。 结果：显示，社区糖尿病患者的疾病管理及用药知识有待加强；患友间的经验分享和行为影响是鼓励患者自我管理信念和行为改变的关键；营养、运动相关的适宜工具有待强化；"协作式"同伴支持技能培训和社会资源的支持有待完善。.