Electronic blood glucose monitoring impacts on provider and patient behavior.

OBJECTIVE: Recent technological development along with the constraints imposed by the coronavirus disease 2019 (COVID-19) pandemic have led to increased availability of patient-generated health data. However, it is not well understood how to effectively integrate this new technology into large health systems. This article seeks to identify interventions to increase utilization of electronic blood glucose monitoring for patients with diabetes. MATERIALS AND METHODS: A large randomized controlled trial tested the impact of multiple interventions to promote use of electronic blood glucose tracking. The total study sample consisted of 7052 patients with diabetes across 68 providers at 20 selected primary care offices. The design included 2 stages: First, primary care practices were randomly assigned to have their providers receive education regarding blood glucose flowsheet orders. Then, patients in the treated practices were assigned to 1 of 4 reminder interventions. RESULTS: Provider education successfully increased provider take-up of an online blood glucose monitoring tool by 64 percentage points, while a comparison of reminder interventions revealed that emphasizing accountability to the provider encouraged patients to track their blood glucose online. An assessment of downstream outcomes revealed impacts of the interventions on prescribing behavior and A1c testing frequency. DISCUSSION: It is important to understand how health systems can practically promote take-up and awareness of emerging digital health alternatives or those with persistently low utilization in clinical settings. CONCLUSION: These results indicate that provider training and support are critical first steps to promote utilization of patient-generated health data, and that patient communications can provide further motivation.

Exploration of Portal Activation by Patients in a Healthcare System.

A study of patient portal utilization was conducted at a not-for-profit healthcare system in Northern Virginia. The healthcare system serves more than 2 million people each year. The encounters with the portal included 461 700 different patients occurring between July 2014 and June 2015. Univariate analysis and multivariable logistic regression indicated associations between patient portal activation and predictive factors. Multiple findings emerged: patient portal activation was greater for English-speaking patients; differences in portal activation were observed by patient age; and patients who had an identified primary care provider were more likely to use the portal. The implications were that patients who have limited English skills and have economic challenges may be less engaged. This review demonstrates the importance of understanding the population using a patient portal and provides insight for future development on how to engage patients to interact with their providers through the portals.