大数据下糖尿病基层医院-社区健康干预模式应用效果探讨  

Evaluation of effect of primary hospital-community health management model based on big data for diabetes mellitus

作　　者：黎凤珍 肖慧霞 Li Fengzhen;Xiao Huixia(Department of Internal MedicineⅢ,Gaoming District Hospital of Traditional Chinese Medicine,Foshan 528500,China;不详)

机构地区：[1]佛山市高明区中医院内三科,佛山528500 [2]佛山市高明区城南社区卫生服务中心,佛山528500

出　　处：《新医学》2022年第1期46-51,共6页Journal of New Medicine

摘　　要：目的探究基于大数据下的基层医院-社区健康干预模式在糖尿病患者中的应用效果。方法将212例糖尿病患者分为对照组与观察组各106例。对照组患者出院后均接受社区卫生服务中心的常规健康干预,观察组患者在对照组的基础上接受基于大数据下的基层医院-社区健康干预模式进一步干预。比较2组干预效果。结果干预后观察组患者空腹血糖、餐后2 h血糖、GHbA1c、总胆固醇、甘油三酯、LDL-C及血压均优于对照组,血糖、血压及血脂的达标率均高于对照组(P均<0.05)。干预后观察组糖尿病自我干预行为量表各维度评分及干预前后的差值均高于对照组(P均<0.05)。干预后观察组患者各项糖尿病知识的知晓率均高于对照组(P均<0.05)。结论基于大数据下基层医院-社区健康干预模式有助于改善患者血糖水平,提升患者的糖尿病防控意识。Objective To evaluate the application effect of primary hospital-community health management model based on big data for diabetes mellitus(DM).Methods A total of 212 DM patients were divided into the control(n=106)and observation groups(n=106).After discharge,all patients in the control group received routine health interventions from community health service center,and their counterparts in the observation group received primary hospital-community health interventions based on big data.The intervention effects were statistically compared between two groups.Results In the observation group,the fasting blood glucose,2-hour postprandial blood glucose,GHbA1c,total cholesterol,triglyceride,LDL-C and blood pressure were significantly better than those in the control group.Moreover,the percentage of patients with normal blood glucose,blood pressure and blood lipid levels in the observation group was significantly higher compared with that in the control group(all P<0.05).After corresponding interventions,the scores in each dimension of Summary of Diabetes Self-Care Activities(SDSCA)measure and the differences before and after interventions in the observation group were significantly higher than those in the control group(all P<0.05).In the observation group,the awareness rate of DM knowledge was significantly higher compared with that in the control group(all P<0.05).Conclusion Primary hospital-community health management model based on big data can effectively lower the blood glucose level and enhance the awareness of prevention and control of DM.

关 键 词：糖尿病 基层医院 社区 健康干预 血糖 自我干预 

分 类 号：R473.5[医药卫生—护理学]