机构地区:[1]扬州市职业大学,江苏扬州225009 [2]高邮市三垛镇中心卫生院,江苏扬州225632
出 处:《智慧健康》2024年第12期164-167,共4页Smart Healthcare
基 金:2021年度江苏省公共卫生服务技术指导中心应用研究项目《基层医疗卫生机构糖尿病全周期健康管理的医防融合服务模式探索》(项目编号:JC101)。
摘 要:目的探讨基于互联网的糖尿病全周期管理医防融合服务模式在2型糖尿病患者中的应用效果。方法选取在三垛镇中心卫生院就诊的2型糖尿病患者200例为研究对象,并按照随机数字表法分为实验组和对照组,每组100例。其中,对照组采用常规的糖尿病诊疗和护理服务模式,实验组采用基于互联网的糖尿病全周期健康管理医防融合服务模式。比较干预前、干预6个月和干预12个月后两组的空腹血糖、糖化血红蛋白的值,比较干预前和干预12个月后两组糖尿病患者生存质量特异性量表评分及干预12个月后两组对服务质量满意度。结果干预12个月后两组空腹血糖、糖化血红蛋白和糖尿病患者生存质量特异性量表评分较干预前均有不同程度的下降,差异均有统计学意义(P<0.05)。实验组空腹血糖、糖化血红蛋白和糖尿病患者生存质量特异性量表评分均较对照组低,差异均有统计学意义(P<0.05)。干预12个月后,实验组对医疗技术、护理技术、诊疗结果、健康教育、服务态度的满意度均高于对照组,差异均有统计学意义(P<0.05)。结论基于互联网的糖尿病全周期管理医防融合服务模式的实施可有效降低空腹血糖、餐后2h血糖、糖化血红蛋白水平,并提高患者的生存质量和患者满意度,有利于糖尿病的防治。Objective To explore application effect of the Internet based diabetes full cycle management medical prevention integration service model for type 2 diabetes patients.Methods The paper chose 200 patients with type 2 diabetes in Sanduo Central Health Center,and divided them into experimental group and control group with random number table,100 cases in each group.Experimental group was treated with the Internet based diabetes full cycle health management medical prevention integration service model,while control group with routine diabetes diagnosis and treatment and nursing service model.Fasting blood glucose and glycosylated hemoglobin values of experimental group and control group were compared before intervention,6 months and 12 months after intervention.Life quality specific scale scores between two groups of diabetes patients before intervention and 12 months after intervention were compared,satisfaction degree between two groups with service quality after 12 months of intervention was compared.Results:After 12 months of intervention,scores of fasting blood glucose,glycosylated hemoglobin and life quality specific scale of diabetes patients in two groups were significantly lower than before intervention(P<0.05).Scores of fasting blood glucose,glycosylated hemoglobin and life quality specific scale of patients with diabetes in experimental group were lower than control group,and difference was statistically significant(P<0.05).After 12 months of intervention,satisfaction degree of experimental group with medical technology,nursing technology,diagnosis and treatment results,health education,and service attitude was higher than control group,and difference was statistically significant(P<0.05).Conclusion The Internet based diabetes full cycle management medical prevention integration service model can reduce fasting blood glucose,2 hours postprandial blood glucose,and glycosylated hemoglobin levels,and improve life quality and satisfaction degree of patients effectively,which is conducive to prevention and trea
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