Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
NIHR Leicester Biomedical Research Centre, Leicester, UK.
J Diabetes Sci Technol. 2023 Jul;17(4):887-894. doi: 10.1177/19322968231176531. Epub 2023 May 25.
When launched, FreeStyle Libre (FSL; a flash glucose monitor) onboarding was mainly conducted face-to-face. The COVID-19 pandemic accelerated a change to online starts with patients directed to online videos such as Diabetes Technology Network UK for education. We conducted an audit to evaluate glycemic outcomes in people who were onboarded face-to-face versus those who were onboarded remotely and to determine the impact of ethnicity and deprivation on those outcomes.
People living with diabetes who started using FSL between January 2019 and April 2022, had their mode of onboarding recorded and had at least 90 days of data in LibreView with >70% data completion were included in the audit. Glucose metrics (percent time in ranges) and engagement statistics (previous 90-day averages) were obtained from LibreView. Differences between glucose variables and onboarding methods were compared using linear models, adjusting for ethnicity, deprivation, sex, age, percent active (where appropriate), and duration of FSL use.
In total, 935 participants (face-to-face 44% [n = 413]; online 56% [n = 522]) were included. There were no significant differences in glycemic or engagement indices between onboarding methods and ethnicities, but the most deprived quintile had significantly lower percent active time (b = -9.20, = .002) than the least deprived quintile.
Online videos as an onboarding method can be used without significant differences in glucose and engagement metrics. The most deprived group within the audit population had lower engagement metrics, but this did not translate into differences in glucose metrics.
FreeStyle Libre(FSL;瞬态血糖仪)最初的使用指导主要通过面对面的方式进行。COVID-19 大流行加速了在线启动的转变,患者被引导至英国糖尿病技术网络等在线视频获取教育资源。我们开展了一项审计,评估了通过面对面和远程方式进行初始使用指导的患者的血糖控制结果,并确定了种族和贫困程度对这些结果的影响。
2019 年 1 月至 2022 年 4 月期间开始使用 FSL 的糖尿病患者,记录其初始使用指导模式,并在 LibreView 中至少有 90 天、完成率>70%的数据,即被纳入审计。从 LibreView 中获取血糖指标(时间在范围内的百分比)和参与度统计数据(前 90 天的平均值)。使用线性模型比较血糖变量和初始使用指导模式之间的差异,调整了种族、贫困程度、性别、年龄、活跃度百分比(如适用)和 FSL 使用时长等因素。
共有 935 名参与者(面对面指导 44%[n=413];在线指导 56%[n=522])被纳入研究。两种初始使用指导模式之间以及不同种族之间的血糖和参与度指标没有显著差异,但最贫困的五分位数比最不贫困的五分位数的活跃度百分比显著更低(b = -9.20, =.002)。
作为初始使用指导方法的在线视频,不会导致血糖和参与度指标产生显著差异。在研究人群中,最贫困的组别参与度指标较低,但这并没有转化为血糖指标的差异。