首页|基于互联网的慢病管理模式在非透析慢性肾脏病患者中的应用

基于互联网的慢病管理模式在非透析慢性肾脏病患者中的应用

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目的 探讨基于互联网的慢病管理模式在非透析慢性肾脏病(CKD)患者中的应用效果.方法 选取2021年8月至2022年3月非透析CKD患者220例,按随机数字表法分为对照组与观察组,各110例.对照组采用常规门诊指导,观察组在此基础上采用基于互联网的慢病管理模式进行管理.比较干预前、干预后3、6个月两组患者的自我管理能力、肾功能指标;比较开始干预至干预后6个月的非预期入院率.结果 完成研究者对照组106例,观察组109例.干预后3、6个月,观察组患者自我管理能力得分、GFR水平均高于对照组,差异均有统计学意义(P<0.05);观察组SCr水平均低于对照组,差异有统计学意义(P<0.05);干预后6个月,观察组非预期入院率为9.17%,低于对照组25.47%,差异有统计学意义(P<0.05).结论 基于互联网的慢病管理模式在非透析CKD患者中应用可提高患者自我管理能力,延缓疾病进展,减少非预期入院率.
Objective To investigate the application effectiveness of an Internet-based chronic disease management model in non-dialysis chronic kidney disease(CKD)patients.Methods A convenience sampling method was employed to select 220 non-dialysis CKD patients who received treatment at the nephrology outpatient department of a tertiary hospital in Jiaxing,Zhejiang Province,from August 2021 to March 2022.The patients were randomly assigned into the control group and the observation group,with 110 cases in each group.The control group received conventional outpatient guidance,while the observation group received management based on an Internet-based chronic disease management model.The self-management abilities and renal function indicators of both groups were compared before intervention,at 3 months after intervention,and at 6 months after intervention.Additionally,the unplanned hospitalization rates from the start of intervention to 6 months after intervention were compared.Results The study was completed with 106 cases in the control group and 109 cases in the observation group.At 3 months and 6 months after intervention,the observation group demonstrated significantly higher scores of self-management abilities and glomerular filtration rate(GFR)levels compared to the control group,with statistically significant differences(P<0.05).Furthermore,at 3 months and 6 months after intervention,the observation group had significantly lower SCr levels compared to the control group,with statistically significant differences(P<0.05).At 6 months after intervention,the unplanned hospitalization rate in the observation group was 9.17%,which was lower than the control group's rate of 25.47%,and the difference was statistically significant(P<0.05).Conclusion The application of an Internet-based chronic disease management model in non-dialysis CKD patients can enhance patients'self-management abilities,delay disease progression,and reduce unplanned hospitalization rates.

Chronic kidney diseaseInternetChronic disease managementOutpatient patients

金莲、张玲芳、唐艳、叶敏慧、郭银凤

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314000 浙江省嘉兴市第一医院

慢性肾脏病 互联网 慢病管理 门诊患者

浙江省医药卫生科技计划项目

2022KY372

2024

浙江临床医学
浙江中医药大学 浙江省科普作家协会医学卫生委员会

浙江临床医学

影响因子:0.52
ISSN:1008-7664
年,卷(期):2024.26(1)
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