Dejun Su1,2, Tzeyu L Michaud1,2, Paul Estabrooks2, Robert J Schwab3, Leslie A Eiland4, Geri Hansen5, Mary DeVany5, Donglan Zhang6, Yan Li7, José A Pagán7,8,9, Mohammad Siahpush2. 1. Center for Reducing Health Disparities, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska. 2. Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska. 3. Divisions of General Internal Medicine, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska. 4. Divisions of Diabetes, Endocrine and Metabolism, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska. 5. TeleHealth Program, Nebraska Medicine, Omaha, Nebraska. 6. Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, Georgia. 7. Center for Health Innovation, The New York Academy of Medicine, New York, New York. 8. Department of Public Health Policy and Management, College of Global Public Health, New York University, New York, New York. 9. Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania.
Abstract
Background: The documented efficacy and promise of telemedicine in diabetes management does not necessarily mean that it can be easily translated into clinical practice. An important barrier concerns patient activation and engagement with telemedicine technology. Objective: To assess the importance of patient activation and engagement with remote patient monitoring technology in diabetes management among patients with type 2 diabetes. Methods: Ordinary least squares and logistic regression analyses were used to examine how patient activation and engagement with remote patient monitoring technology were related to changes in hemoglobin A1c (HbA1c) for 1,354 patients with type 2 diabetes monitored remotely for 3 months between 2015 and 2017. Results: Patients with more frequent and regular participation in remote monitoring had lower HbA1c levels at the end of the program. Compared to patients who uploaded their biometric data every 2 days or less frequently, patients who maintained an average frequency of one upload per day were less likely to have a postmonitoring HbA1c > 9% after adjusting for selected covariates on baseline demographics and health conditions. Conclusions: Higher levels of patient activation and engagement with remote patient monitoring technology were associated with better glycemic control outcomes. Developing targeted interventions for different groups of patients to promote their activation and engagement levels would be important to improve the effectiveness of remote patient monitoring in diabetes management.
Background: The documented efficacy and promise of telemedicine in diabetes management does not necessarily mean that it can be easily translated into clinical practice. An important barrier concerns patient activation and engagement with telemedicine technology. Objective: To assess the importance of patient activation and engagement with remote patient monitoring technology in diabetes management among patients with type 2 diabetes. Methods: Ordinary least squares and logistic regression analyses were used to examine how patient activation and engagement with remote patient monitoring technology were related to changes in hemoglobin A1c (HbA1c) for 1,354 patients with type 2 diabetes monitored remotely for 3 months between 2015 and 2017. Results:Patients with more frequent and regular participation in remote monitoring had lower HbA1c levels at the end of the program. Compared to patients who uploaded their biometric data every 2 days or less frequently, patients who maintained an average frequency of one upload per day were less likely to have a postmonitoring HbA1c > 9% after adjusting for selected covariates on baseline demographics and health conditions. Conclusions: Higher levels of patient activation and engagement with remote patient monitoring technology were associated with better glycemic control outcomes. Developing targeted interventions for different groups of patients to promote their activation and engagement levels would be important to improve the effectiveness of remote patient monitoring in diabetes management.
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