Exploring Decentralized Glucose and Behaviometric Monitoring of Persons with Type 2 Diabetes in the Setting of a Clinical Trial

在临床试验中探索对2型糖尿病患者进行分散式血糖和行为监测

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Abstract

BACKGROUND: Clinical trials often suffer from recruitment barriers and poor adherence, which increases costs and affects trial outcomes. OBJECTIVE: To investigate the feasibility of Decentralized Clinical Trial (DCT) design elements to recruit, enroll, and engage patients with type 2 diabetes mellitus (T2DM). METHODS: Patients with T2DM were recruited through a pharmacy and online recruitment using advert on Facebook, to 3 weeks monitoring of glucose and behaviometric parameters. Subjects recruited online could either complete an informed consent conversation in the pharmacy or through live video call managed by the study app.A continuous glucose monitoring (CGM) device to collect glucose data, and a hybrid smartwatch to monitor heart rate, track activity and sleep pattern were delivered by postal service to the participants' home address. The devices were connected to a study specific app on the participant's smartphone also capturing GPS data and questionnaire answers. RESULTS: Twenty-six subjects (3 pharmacy, 23 online) with T2DM were recruited, 85% preferred online informed consent conversation. All participants were able to self-apply the CGM device, use the smartwatch, and download the app. GPS location was captured more than 100 times for each participant, and more than 90% completed all 3 questionnaires. All the participants felt safe with the informed consent process and they felt confident in participating from home. Three participants dropped-out during the study period leaving a retention rate at 87%. CONCLUSIONS: Use of DCT design elements to conduct a T2DM study is feasible regarding recruitment, data collection from various electronic devices, and participant engagement.

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