连续血糖监测仪在群体医疗访问中的应用

Kirk Julienne K
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摘要

目的:本研究的目的是评估GMV环境下cgm的使用,通过改变2型糖尿病患者的生活方式行为来改善患者的激活和参与、生活质量和代谢结果,包括血糖控制。背景:团体医疗访问(GMV)是一种循证护理模式,可改善糖尿病的预后。监测工具可以很容易地证明推荐的生活方式干预与短期和长期最佳血糖控制之间的因果关系,可以用来改善糖尿病的预后。连续血糖监测系统(cgm)是一种可穿戴设备,可连续测量间质血糖,并提供有价值的反馈,以响应饮食和运动的血糖变化。有了这些数据,患者几乎可以立即得到反馈,使他们能够做出动态的行为改变。方法:我们对来自学术社区初级保健诊所的16名成年人实施GMV。两个独立的队列,每组8名参与者,每2周进行一次治疗,共14周。在第一次GMV的3个月内和14周结束时收集基线HbA1c和脂质面板。在初始和最终GMV时收集有效问卷(PAM-13和SF-12)。还计算了两次之间这些差异的配对t检验。p < 0.05为显著性。结果:在14周结束时,参与者的HbA1c显著降低(0.4%;P < 0.05),体重(6.4 lbs;p < 0.05),平均血糖(以CGM计算,21.1 mg/dl;P < 0.05)。38.5%的参与者将HbA1c降至糖尿病前期范围。血脂、PAM-13、SF-12或血压没有显著差异。参与者主观地报告说,CGM有助于看到食物和他们的血糖的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilization of Continuous Glucose Monitors in a Group Medical Visit Setting
Aim: The aim of this study is to assess the utilization of CGMs in a GMV setting to improve patient activation and engagement, quality of life, and metabolic outcomes including glycemic control through modified lifestyle behaviors in patients with Type 2 diabetes. Background: Group medical visits (GMV) are an evidence-based care model shown to improve outcomes in diabetes. Monitoring tools that readily demonstrate cause-and-effect relationships between recommended lifestyle interventions and optimal glycemic control in the short and long term can be utilized to improve diabetes outcomes. Continuous glucose monitoring systems (CGMs) are wearable devices that continuously measure interstitial glucose and provide valuable feedback on glycemic changes in response to diet and exercise. With this data, patients are given nearly immediate feedback, empowering them to make dynamic behavioral changes. Methods: We implemented GMV for 16 adults from an academic community-based primary care clinic. Two separate cohorts consisting of 8 participants each, met for a total of 14 weeks with sessions every 2 weeks. Baseline HbA1c and lipid panels were collected within 3 months of the first GMV and at the end of the 14 weeks. Validated questionnaires (PAM-13 and SF-12) were collected at the initial and final GMV. Paired t-tests for these differences between the two times were also calculated. Significance was set at p < 0.05. Findings: At the end of the 14 weeks, participants had a significant reduction in HbA1c (0.4%; p < 0.05), weight (6.4 lbs; p < 0.05), and average glucose (calculated by CGM, 21.1 mg/dl; p < 0.05). 38.5% of participants decreased their HbA1c to the prediabetes range. There was no significant difference for lipids, PAM-13, or SF-12 or blood pressure. Participants reported subjectively that the CGM was helpful to see the relationship of foods and their glycemia.
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